Cross-link interference reporting with multiple hypotheses

Abstract

Methods, systems, and devices for wireless communication are described. For example, a first network entity may receive first control information including first information and second information from a second network entity, where the first information indicates one or more interference measurement resources for measurement of cross-link interference, and the second information may indicate a set of hypotheses determined for one or more CLIs. The first network entity may send to the second network entity a report including respective CLI information for two or more of the plurality of hypotheses, wherein the respective CLI information for the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

Description

Cross-referencing

[0001] This patent application claims the benefit of U.S. Patent Application No. 18 / 365,786, filed August 4, 2023, entitled “CROSS-LINK INTERFERENCE REPORT WITH MULTIPLE HYPOTHESES”, which has been assigned to the assignee of this application. Background Technology

[0002] Wireless communication systems are widely deployed to provide various types of communication content, such as voice, video, packet data, message sending and receiving, broadcasting, and so on. These systems can support communication with multiple users by sharing available system resources (e.g., time, frequency, and power). Examples of such multiple access systems include fourth-generation (4G) systems (such as Long Term Evolution (LTE) systems, LTE-A Advanced (LTE-A) systems, or LTE-A Pro systems) and fifth-generation (5G) systems (which may be referred to as New Radio (NR) systems). These systems may employ technologies such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal FDMA (OFDMA), or Discrete Fourier Transform Extended Orthogonal Frequency Division Multiplexing (DFT-S-OFDM). A wireless multiple access communication system may include one or more base stations, each supporting wireless communication of communication devices, which may be referred to as User Equipment (UE). Summary of the Invention

[0003] The described technology relates to improved methods, systems, devices, and apparatuses for supporting cross-link interference (CLI) reporting with multiple hypotheses. For example, the described technology allows network entities to reduce CLI by reporting multiple hypotheses. A first network entity can receive first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference, and the second information may indicate a set of hypotheses determined for one or more CLIs. The first network entity can send a report to the second network entity including corresponding CLI information for two or more of the multiple hypotheses, wherein the corresponding CLI information for the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0004] A method for wireless communication performed by a first network entity is described. The method may include receiving from a second network entity first control information including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and sending to the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0005] A first network entity for performing wireless communication is described. The first network entity may include one or more memories storing processor-executable code and one or more processors coupled to the one or more memories. The one or more processors may be able to operate individually or jointly to execute code to cause the first network entity to: receive first control information from a second network entity including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and send a report to the second network entity including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0006] A first network entity for performing wireless communication is described. The first network entity may include: means for receiving first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and means for sending a report to the second network entity including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0007] A non-transitory computer-readable medium is described, storing code for performing wireless communications. The code may include instructions executable by a processor to: receive first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and send a report to the second network entity including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0008] In some examples of the methods described herein, the first network entity, and the nontransient computer-readable medium, two or more assumptions include a first assumption and a second assumption. The corresponding CLI information for the first assumption includes a channel quality indicator (CQI), a rank indicator (RI), a pre-decoding matrix indicator (PMI), or a signal-to-interference-plus-noise ratio (SINR). The first assumption may be associated with the absence of CLI measurements, and the second assumption may be associated with CLI measurements based on one or more interference measurement resources.

[0009] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value, and each of the first transmit power backoff value and the second transmit power backoff value may be equal to or greater than zero.

[0010] The methods described herein, some examples of the first network entity, and non-transitory computer-readable media may also include operations, features, components, or instructions for receiving second control information from the second network entity indicating a first transmit power backoff value and a second transmit power backoff value.

[0011] In some examples of the methods described herein, the first network entity, and the nontransient computer-readable medium, at least one of one or more interference measurement resources may be associated with multiple of two or more hypotheses.

[0012] In some examples of the methods described herein, the first network entity, and the nontransient computer-readable medium, a first interference measurement resource in one or more interference measurement resources may be associated with a first hypothesis in two or more hypotheses, and a second interference measurement resource in one or more interference measurement resources may be associated with a second hypothesis in two or more hypotheses.

[0013] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, a first hypothesis in the set of multiple hypotheses may be associated with a first interference measurement resource in one or more interference measurement resources and a second interference measurement resource in one or more interference measurement resources, a second hypothesis in the set of multiple hypotheses may be associated with only the first interference measurement resource, and a third hypothesis in the set of multiple hypotheses may be associated with only the second interference measurement resource.

[0014] In some examples of the methods described herein, the first network entity, and the non-transitory computer-readable medium, a first assumption in this set of multiple assumptions may be associated with a first interference measurement resource and a first power control backoff value in one or more interference measurement resources; a second assumption in this set of multiple assumptions may be associated with a first interference measurement resource and a second power control backoff value; a third assumption in this set of multiple assumptions may be associated with a second interference measurement resource and a first power control backoff value in one or more interference measurement resources; and a fourth assumption in this set of multiple assumptions may be associated with a second interference measurement resource and a second power control backoff value.

[0015] In some examples of the methods described herein, the first network entity, and the non-transitory computer-readable medium, the fifth assumption in this set of multiple assumptions may be associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource; the sixth assumption in this set of multiple assumptions may be associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; the seventh assumption in this set of multiple assumptions may be associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; and the eighth assumption in this set of multiple assumptions may be associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0016] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a first transmission beam of the third network entity and a second assumption associated with a second transmission beam of the third network entity.

[0017] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with CLI measurements of a first receiving beam of the first network entity and a second assumption associated with a second receiving beam of the first network entity.

[0018] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

[0019] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more hypotheses may have a first number of hypotheses, and the group of multiple hypotheses may have a second number of hypotheses, and the first number of hypotheses may be less than the second number of hypotheses.

[0020] The methods described herein, examples of first network entities, and nontransitory computer-readable media may also include operations, features, components, or instructions for determining two or more hypotheses based on a maximum number of hypotheses associated with the report.

[0021] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, determining two or more hypotheses based on a maximum number of hypotheses associated with the report may include operations, features, components, or instructions for selecting two or more hypotheses.

[0022] The methods described herein, examples of first network entities, and nontransitory computer-readable media may also include operations, features, components, or instructions for generating reports based on the selection of two or more hypotheses to include corresponding CLI information for each of the two or more hypotheses.

[0023] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, one or more interference measurement resources include a set of multiple interference measurement resources for each of a set of multiple network entities, and two or more assumptions include an assumption associated with any of N interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple network entities, wherein the N interference measurement resources may be associated with interference that is higher than each of the remaining interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple interference measurement resources for each of the set of multiple network entities, and N may be a positive integer.

[0024] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, one or more interference measurement resources include a set of multiple interference measurement resources for each of a set of multiple network entities, and two or more assumptions include an assumption associated with any of N interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple network entities, wherein the N interference measurement resources may be associated with interference lower than each of the remaining interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple network entities, and N may be a positive integer.

[0025] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, the corresponding CLI information for each of two or more hypotheses includes the corresponding CQI, corresponding RI, corresponding PMI, corresponding Received Signal Strength Indicator (RSSI), corresponding Reference Received Power (RSRP), or corresponding SINR.

[0026] In the methods described herein, in some examples of the first network entity and non-transitory computer-readable media, the report includes channel state information.

[0027] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, the first control information may be indicated in the report configuration.

[0028] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, each CLI determination in one or more CLI determinations may be associated with corresponding CLI information or corresponding CLI measurement for a corresponding hypothesis among two or more hypotheses.

[0029] The methods described herein, examples of first network entities, and nontransient computer-readable media may also include operations, features, components, or instructions for generating corresponding CLI information for each of two or more hypotheses based on one or more interference measurement resources.

[0030] In some examples of the methods, first network entities, and nontransient computer-readable media described herein, generating corresponding CLI information for each of one or more hypotheses based on one or more interference measurement resources may include operations, characteristics, components, or instructions for measuring one or more interference measurement resources.

[0031] A method for wireless communication performed by a first network entity is described. The method may include sending to a second network entity first control information including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and receiving from the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0032] A first network entity for performing wireless communication is described. The first network entity may include one or more memories storing processor-executable code and one or more processors coupled to the one or more memories. The one or more processors may be able to operate individually or jointly to execute the code to cause the first network entity to perform the following operations: sending first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and receiving from the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0033] A first network entity for performing wireless communication is described. The first network entity may include: means for transmitting first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and means for receiving from the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0034] A non-transitory computer-readable medium is described, storing code for performing wireless communications. The code may include instructions executable by a processor to: send to a second network entity first control information including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs; and receive from the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0035] In some examples of the methods described herein, the first network entity, and the nontransient computer-readable medium, two or more assumptions include a first assumption and a second assumption, corresponding CLI information for the first assumption includes CQI, RI, PMI, or SINR, and the first assumption may be associated with the absence of CLI measurements, and the second assumption may be associated with CLI measurements based on one or more interfering measurement resources.

[0036] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value, and each of the first transmit power backoff value and the second transmit power backoff value may be equal to or greater than zero.

[0037] The methods described herein, examples of first network entities, and non-transitory computer-readable media may also include operations, features, components, or instructions for sending second control information to a second or third network entity indicating a first transmit power backoff value and a second transmit power backoff value.

[0038] In some examples of the methods described herein, the first network entity, and the nontransient computer-readable medium, at least one of one or more interference measurement resources may be associated with multiple of two or more hypotheses.

[0039] In some examples of the methods described herein, the first network entity, and the nontransient computer-readable medium, a first interference measurement resource in one or more interference measurement resources may be associated with a first hypothesis in two or more hypotheses, and a second interference measurement resource in one or more interference measurement resources may be associated with a second hypothesis in two or more hypotheses.

[0040] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, a first hypothesis in the set of multiple hypotheses may be associated with a first interference measurement resource in one or more interference measurement resources and a second interference measurement resource in one or more interference measurement resources, a second hypothesis in the set of multiple hypotheses may be associated with only the first interference measurement resource, and a third hypothesis in the set of multiple hypotheses may be associated with only the second interference measurement resource.

[0041] In some examples of the methods described herein, the first network entity, and the non-transitory computer-readable medium, a first assumption in this set of multiple assumptions may be associated with a first interference measurement resource and a first power control backoff value in one or more interference measurement resources; a second assumption in this set of multiple assumptions may be associated with a first interference measurement resource and a second power control backoff value; a third assumption in this set of multiple assumptions may be associated with a second interference measurement resource and a first power control backoff value in one or more interference measurement resources; and a fourth assumption in this set of multiple assumptions may be associated with a second interference measurement resource and a second power control backoff value.

[0042] In some examples of the methods described herein, the first network entity, and the non-transitory computer-readable medium, the fifth assumption in this set of multiple assumptions may be associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource; the sixth assumption in this set of multiple assumptions may be associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; the seventh assumption in this set of multiple assumptions may be associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; and the eighth assumption in this set of multiple assumptions may be associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0043] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a first transmission beam of the third network entity and a second assumption associated with a second transmission beam of the third network entity.

[0044] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a first receiving beam of the second network entity and a second assumption associated with a second receiving beam of the second network entity.

[0045] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

[0046] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, two or more hypotheses may have a first number of hypotheses, and the group of multiple hypotheses may have a second number of hypotheses, and the first number of hypotheses may be less than the second number of hypotheses.

[0047] In the methods described herein, in some examples of the first network entity and non-transitory computer-readable media, two or more assumptions may be based on the maximum number of assumptions associated with the report.

[0048] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, one or more interference measurement resources include a set of multiple interference measurement resources for each of a set of multiple network entities, and two or more assumptions include an assumption associated with any of N interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple network entities, wherein the N interference measurement resources may be associated with interference that is higher than each of the remaining interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple interference measurement resources for each of the set of multiple network entities, and N may be a positive integer.

[0049] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, one or more interference measurement resources include a set of multiple interference measurement resources for each of a set of multiple network entities, and two or more assumptions include an assumption associated with any of N interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple network entities, wherein the N interference measurement resources may be associated with interference lower than each of the remaining interference measurement resources in the set of multiple interference measurement resources for each of the set of multiple network entities, and N may be a positive integer.

[0050] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, the corresponding CLI information for each of two or more hypotheses includes the corresponding CQI, corresponding RI, corresponding PMI, corresponding RSSI, corresponding RSRP, or corresponding SINR.

[0051] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, the first control information may be indicated in the report configuration.

[0052] In some examples of the methods described herein, the first network entity, and the nontransitory computer-readable medium, each CLI determination in one or more CLI determinations may be associated with corresponding CLI information or corresponding CLI measurement for a corresponding hypothesis among two or more hypotheses. Attached Figure Description

[0053] Figure 1 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0054] Figure 2 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0055] Figure 3 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0056] Figure 4 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0057] Figure 5 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0058] Figure 6 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0059] Figure 7 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0060] Figure 8 An example of a wireless communication system supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown.

[0061] Figure 9 An example of a process flow for reporting cross-link interference with multiple assumptions, based on one or more aspects of this disclosure, is shown.

[0062] Figure 10 and Figure 11 A block diagram is shown that supports a device with multiple assumptions for cross-link interference reporting according to one or more aspects of this disclosure.

[0063] Figure 12A block diagram is shown of a communication manager that supports cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure.

[0064] Figure 13 A diagram is shown of a system including a device that supports cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure.

[0065] Figure 14 and Figure 15 A block diagram is shown that supports a device with multiple assumptions for cross-link interference reporting according to one or more aspects of this disclosure.

[0066] Figure 16 A block diagram is shown of a communication manager that supports cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure.

[0067] Figure 17 A diagram is shown of a system including a device that supports cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure.

[0068] Figure 18 and Figure 19 A flowchart illustrating a method for reporting cross-link interference with multiple assumptions, according to one or more aspects of this disclosure, is shown. Detailed Implementation

[0069] A first network entity (e.g., a user equipment (UE)) receiving a message from a second network entity (e.g., a base station) may experience cross-link interference (CLI) from another transmission, which may originate from a third network entity (e.g., the UE) or from the first network interference. If the other transmission originates from the first network entity, it can be termed self-interference. In some examples, the network entity acting as the source of interference can be termed the attacking network entity, and the network entity affected by the interference can be termed the victim network entity. As CLI power increases on a set of resources for receiving messages, the likelihood of the first UE successfully decoding the first message may decrease. Techniques that reduce CLI or keep CLI below a threshold can make the first network entity more likely to successfully decode the first message, and thus improve the efficiency of wireless communication.

[0070] This disclosure describes techniques that enable CLI to be reduced or kept below a threshold. For example, a network entity can generate a CLI report including CLI information for multiple hypotheses, where each hypothesis corresponds to a specific condition that determines the value of a parameter associated with the CLI. For example, the values ​​of these parameters may be determined under the assumption of different backoff transmit powers for an attacking network entity and / or by measuring different transmit beams of the attacking network entity, transmit beams of different attacking network entities, or different receive beams of the victim network entity. Additionally or alternatively, the different hypotheses may be associated with different interference measurement resources (IMRs) on which CLI is measured. In some examples, the determined CLI information may include a channel quality indicator (CQI), a rank indicator (RI), a pre-decoding matrix indicator (PMI), a signal-to-interference-plus-noise ratio (SINR), a reference signal received power (RSRP), a received signal strength indicator (RSSI), or any combination thereof. In some examples, the CLI information in the CLI report may be included together with a channel state information (CSI) report, or it may be reported separately. Upon receiving a CLI report, the second network entity can determine an assumption associated with the expected CLI amount (e.g., CLI below a threshold amount) and can accordingly adjust one or more aspects of the wireless communication (e.g., parameters of the first network entity and / or the third network entity).

[0071] The aspects of this disclosure are first described in the context of a wireless communication system. Additional aspects of this disclosure are described in the context of a process flow. The aspects of this disclosure are further illustrated and described by means of and reference to apparatus diagrams, system diagrams, and flowcharts relating to cross-link interference reporting with multiple assumptions.

[0072] Figure 1 An example of a wireless communication system 100 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. The wireless communication system 100 may include one or more network entities 105, one or more UEs 115, and a core network 130. In some examples, the wireless communication system 100 may be a Long Term Evolution (LTE) network, an Advanced LTE (LTE-A) network, an LTE-A Pro network, a New Radio (NR) network, or a network operating under other systems and radio technologies, including future systems and radio technologies not explicitly mentioned herein.

[0073] Network entity 105 may be distributed across a geographical area to form wireless communication system 100, and may include devices employing different forms or having different capabilities. In various examples, network entity 105 may be referred to as a network element, mobility element, radio access network (RAN) node, or network equipment, etc. In some examples, network entity 105 and UE 115 may wirelessly communicate via one or more communication links 125 (e.g., radio frequency (RF) access links). For example, network entity 105 may support coverage area 110 (e.g., a geographical coverage area) within which UE 115 and network entity 105 may establish one or more communication links 125. Coverage area 110 may be an example of a geographical area within which network entity 105 and UE 115 may support the transmission of signals according to one or more radio access technologies (RATs).

[0074] UE 115 can be distributed throughout the coverage area 110 of wireless communication system 100, and each UE 115 can be stationary or mobile, or stationary and mobile at different times. UE 115 can be devices in different forms or with different capabilities. Figure 1 Some example UE 115s are illustrated herein. The UE 115 described herein can be able to support various types of devices (such as, e.g., ...). Figure 1 It communicates with other UEs (115 or network entity 105) as shown.

[0075] As described herein, nodes of the wireless communication system 100 (which may be referred to as network nodes or wireless nodes) may be network entity 105 (e.g., any network entity described herein), UE 115 (e.g., any UE described herein), network controller, apparatus, device, computing system, one or more components, or another suitable processing entity configured to perform any of the techniques described herein. For example, a node may be UE 115. Alternatively, a node may be network entity 105. Furthermore, a first node may be configured to communicate with a second or third node. In one aspect of this example, the first node may be UE 115, the second node may be network entity 105, and the third node may be UE 115. In another aspect of this example, the first node may be UE 115, the second node may be network entity 105, and the third node may be network entity 105. In other aspects of this example, the first node, the second node, and the third node may be different from these examples. Similarly, references to UE 115, network entity 105, device, equipment, computing system, etc., may include disclosures of UE 115, network entity 105, device, equipment, computing system, etc., as nodes. For example, a disclosure that UE 115 is configured to receive information from network entity 105 also discloses that a first node is configured to receive information from a second node.

[0076] In some examples, network entity 105 may communicate with core network 130, communicate with each other, or both. For example, network entity 105 may communicate with core network 130 via one or more backhaul communication links 120 (e.g., according to S1, N2, N3, or other interface protocols). In some examples, network entities 105 may communicate with each other directly (e.g., directly between network entities 105) or indirectly (e.g., via core network 130) via backhaul communication links 120 (e.g., according to X2, Xn, or other interface protocols). In some examples, network entities 105 may communicate with each other via midhaul communication link 162 (e.g., according to midhaul interface protocol) or fronthaul communication link 168 (e.g., according to fronthaul interface protocol) or any combination thereof. Backhaul communication link 120, midhaul communication link 162, or fronthaul communication link 168 may be or include one or more wired links (e.g., electrical links, fiber optic links), one or more wireless links (e.g., radio links, wireless optical links), etc., or various combinations thereof. UE 115 can communicate with core network 130 via communication link 155.

[0077] One or more network entities in network entity 105 described herein may include or be referred to as base station 140 (e.g., transceiver base station, radio base station, NR base station, access point, radio transceiver, node B, eNodeB (eNB), next-generation node B or gigabit node B (any of which may be referred to as gNB), 5G NB, next-generation eNB (ng-eNB), home node B, home evolution node B, or other suitable terms). In some examples, network entity 105 (e.g., base station 140) may be implemented in an aggregated (e.g., monolithic, standalone) base station architecture that may be configured to utilize a protocol stack that is physically or logically integrated within a single network entity 105 (e.g., a single RAN node, such as base station 140).

[0078] In some examples, network entity 105 may be implemented in a decomposed architecture (e.g., a decomposed base station architecture, a decomposed RAN architecture) that can be configured to utilize protocol stacks physically or logically distributed across two or more network entities 105, such as an Integrated Access Backhaul (IAB) network, an Open RAN (O-RAN) (e.g., a network configuration sponsored by the O-RAN Alliance), or a Virtualized RAN (vRAN) (e.g., a Cloud RAN (C-RAN)). For example, network entity 105 may include one or more of the following: a Central Unit (CU) 160, a Distributed Unit (DU) 165, a Radio Unit (RU) 170, a RAN Intelligent Controller (RIC) 175 (e.g., a near-real-time RIC, a non-real-time RIC), a Service Management and Orchestration (SMO) 180 system, or any combination thereof. 170 may also be referred to as a radio headend, intelligent radio headend, remote radio headend (RRH), remote radio unit (RRU), or transmit / receive point (TRP). One or more components of network entity 105 in a decomposed RAN architecture may be co-located, or one or more components of network entity 105 may be located in distributed locations (e.g., separate physical locations). In some examples, one or more network entities 105 in a decomposed RAN architecture may be implemented as virtual units (e.g., virtual CU (VCU), virtual DU (VDU), virtual RU (VRU)).

[0079] The functional splitting among CU 160, DU 165, and RU 170 is flexible and can support different functionalities depending on which functions (e.g., network layer functions, protocol layer functions, baseband functions, RF functions, and any combination thereof) are performed at CU 160, DU 165, or RU 170. For example, a protocol stack functional splitting can be used between CU 160 and DU 165, allowing CU 160 to support one or more layers of the protocol stack, and DU 165 to support one or more different layers of the protocol stack. In some examples, CU 160 can host higher protocol layer (e.g., Layer 3 (L3), Layer 2 (L2)) functionalities and signaling (e.g., Radio Resource Control (RRC), Serving Data Adaptation Protocol (SDAP), Packet Data Convergence Protocol (PDCP)). CU 160 can connect to one or more DU 165 or RU 170, and one or more DU 165 or RU 170 can host lower protocol layers, such as Layer 1 (L1) (e.g., Physical (PHY) layer) or L2 (e.g., Radio Link Control (RLC) layer, Medium Access Control (MAC) layer) functionality and signaling, and each can be at least partially controlled by CU 160. Additionally or alternatively, a protocol stack functional split can be employed between DU 165 and RU 170, such that DU 165 can support one or more layers of the protocol stack, and RU 170 can support one or more different layers of the protocol stack. DU 165 can support one or more different cells (e.g., via one or more RU 170). In some cases, functional decomposition between CU 160 and DU 165, or between DU 165 and RU 170, can be performed within the protocol layer (e.g., some functions of the protocol layer can be performed by one of CU 160, DU 165, or RU 170, while other functions of the protocol layer can be performed by different of CU 160, DU 165, or RU 170). CU 160 can be further functionally decomposed into CU control plane (CU-CP) functions and CU user plane (CU-UP) functions. CU 160 can be connected to one or more DU 165 via midhaul communication link 162 (e.g., F1, F1-c, F1-u), and DU 165 can be connected to one or more RU 170 via fronthaul communication link 168 (e.g., open fronthaul (FH) interface). In some examples, the midhaul communication link 162 or the fronthaul communication link 168 may be implemented based on the interfaces (e.g., channels) between the layers of the protocol stack, which are supported by the corresponding network entities 105 communicating via such communication links.

[0080] In a wireless communication system (e.g., wireless communication system 100), the infrastructure and spectrum resources for radio access can support wireless backhaul link capabilities to supplement wired backhaul connections, thereby providing an IAB network architecture (e.g., to core network 130). In some cases, in an IAB network, one or more network entities 105 (e.g., IAB node 104) may be partially controlled by each other. One or more IAB nodes 104 may be referred to as donor entities or IAB donors. One or more DU 165s or one or more RU 170s may be partially controlled by one or more CU 160s associated with donor network entity 105 (e.g., donor base station 140). One or more donor network entities 105 (e.g., IAB donors) may communicate with one or more additional network entities 105 (e.g., IAB node 104) via supported access and backhaul links (e.g., backhaul communication link 120). IAB node 104 may include an IAB mobile terminal (IAB-MT) controlled (e.g., scheduled) by a DU 165 of a coupled IAB donor. The IAB-MT may include a separate set of antennas for relaying communication with UE 115, or may share the same antennas (e.g., those of RU 170) for access to IAB node 104 via DU 165 of IAB node 104. (e.g., referred to as a virtual IAB-MT (vIAB-MT)). In some examples, IAB node 104 may include a DU 165 that supports communication links with additional entities (e.g., IAB node 104, UE 115) within a relay chain or configuration (e.g., downstream) of the access network. In such cases, one or more components of the decomposed RAN architecture (e.g., one or more IAB nodes 104 or components of IAB node 104) may be configured to operate according to the techniques described herein.

[0081] For example, the access network (AN) or RAN may include communication between an access node (e.g., an IAB donor), IAB node 104, and one or more UEs 115. The IAB donor may facilitate connectivity between the core network 130 and the AN (e.g., via a wired or wireless connection to the core network 130). That is, an IAB donor may refer to a RAN node having a wired or wireless connection to the core network 130. The IAB donor may include a CU 160 and at least one DU 165 (e.g., and RU 170), wherein the CU 160 may communicate with the core network 130 via an interface (e.g., a backhaul link). The IAB donor and IAB node 104 may communicate via an F1 interface according to a protocol defining the signaling messages (e.g., the F1 AP protocol). Additionally or alternatively, the CU 160 may communicate with the core network via an interface (which may be part of a backhaul link) and with other CU 160s (e.g., CU 160 associated with an alternative IAB donor) via an Xn-C interface (which may be part of a backhaul link).

[0082] IAB node 104 may refer to a RAN node that provides IAB functionality (e.g., access for UE 115, radio self-backhaul capability, etc.). DU 165 may act as a distributed scheduling node toward child nodes associated with IAB node 104, and IAB-MT may act as a scheduled node toward a parent node associated with IAB node 104. That is, an IAB donor may be referred to as a parent node communicating with one or more child nodes (e.g., an IAB donor may relay for UE transmissions via one or more other IAB nodes 104). Additionally or alternatively, depending on the AN's relay chain or configuration, IAB node 104 may also be referred to as a parent or child node of other IAB nodes 104. Therefore, the IAB-MT entity of IAB node 104 can provide a Uu interface for child IAB node 104 to receive signaling from parent IAB node 104, and the DU interface (e.g., DU 165) can provide a Uu interface for parent IAB node 104 to send signaling notifications to child IAB node 104 or UE 115.

[0083] For example, IAB node 104 may be referred to as a parent node supporting communication to child IAB nodes, or as a child IAB node associated with an IAB donor, or both. An IAB donor may include a CU 160 having a wired or wireless connection to core network 130 (e.g., backhaul communication link 120) and may act as a parent node of IAB node 104. For example, the IAB donor's DU 165 may relay transmissions to UE 115 via IAB node 104, or may signal transmissions directly to UE 115, or both. The IAB donor's CU 160 may signal the establishment of a communication link to IAB node 104 via an F1 interface, and IAB node 104 may schedule transmissions via DU 165 (e.g., transmissions relayed from the IAB donor to UE 115). That is, data may be relayed to and from IAB node 104 via signaling through the NR Uu interface of the MT to IAB node 104. Communication with IAB node 104 can be scheduled by DU 165 of the IAB donor, and communication with IAB node 104 can be scheduled by DU 165 of IAB node 104.

[0084] In the context of applying the techniques described herein to a decomposed RAN architecture, one or more components of the decomposed RAN architecture can be configured to support cross-link interference reporting with multiple assumptions as described herein. For example, some operations described as being performed by UE 115 or network entity 105 (e.g., base station 140) may additionally or alternatively be performed by one or more components of the decomposed RAN architecture (e.g., IAB node 104, DU 165, CU 160, RU 170, RIC 175, SMO 180).

[0085] UE 115 may include or be referred to as a mobile device, wireless device, remote device, handheld device, or subscriber device, or any other suitable term, wherein "device" may also be referred to as a cell, station, terminal, or client, etc. UE 115 may also include or be referred to as a personal electronic device, such as a cellular phone, personal digital assistant (PDA), tablet computer, laptop computer, or personal computer. In some examples, UE 115 may include or be referred to as a wireless local loop (WLL) station, Internet of Things (IoT) device, Internet of Everything (IoE) device, or machine-type communication (MTC) device, etc., which may be implemented in various objects such as appliances or vehicles, meters, etc.

[0086] The UE 115 described herein can communicate with various types of devices, such as other UEs 115 that sometimes act as relays, network entities 105, and network equipment including macro eNBs or gNBs, small cell eNBs or gNBs, or relay base stations, etc. Figure 1 As shown.

[0087] UE 115 and network entity 105 can wirelessly communicate with each other via one or more communication links 125 (e.g., access links) using resources associated with one or more carriers. The term "carrier" can refer to a set of RF spectrum resources having a defined physical layer structure for supporting communication link 125. For example, a carrier for communication link 125 may include a portion of the RF spectrum band (e.g., a bandwidth portion (BWP)) operating according to one or more physical layer channels for a given radio access technology (e.g., LTE, LTE-A, LTE-A Pro, NR). Each physical layer channel may carry acquisition signaling (e.g., synchronization signals, system information), control signaling coordinating carrier operation, user data, or other signaling. Wireless communication system 100 can support communication with UE 115 using carrier aggregation or multi-carrier operation. Depending on the carrier aggregation configuration, UE 115 may be configured with multiple downlink component carriers and one or more uplink component carriers. Carrier aggregation can be used in conjunction with both frequency division duplex (FDD) component carriers and time division duplex (TDD) component carriers. Communication between network entity 105 and other devices can refer to communication between these devices and any part of network entity 105 (e.g., entity, sub-entity). For example, the terms “send,” “receive,” or “communicate” when referring to network entity 105 can refer to any part of the RAN’s network entity 105 (e.g., base station 140, CU160, DU 165, RU 170) communicating with another device (e.g., directly or via one or more other network entities 105).

[0088] In some examples, such as in carrier aggregation configurations, a carrier may also have acquisition signaling or control signaling to coordinate the operation of other carriers. A carrier may be associated with a frequency channel (e.g., an Evolved Universal Mobile Telecommunications System Terrestrial Radio Access (E-UTRA) Absolute RF Channel Number (EARFCN)) and may be identified according to a channel grating used for discovery by UE 115. A carrier may operate in standalone mode, in which case initial acquisition and connection can be performed by UE 115 via that carrier, or the carrier may operate in non-standalone mode, in which case different carriers (e.g., the same or different radio access technologies) are used to anchor the connection.

[0089] The communication link 125 shown in the wireless communication system 100 may include downlink transmission (e.g., forward link transmission) from network entity 105 to UE 115, uplink transmission (e.g., return link transmission) from UE 115 to network entity 105, or both, as well as other transmission configurations. A carrier may carry downlink communication or uplink communication (e.g., in FDD mode), or may be configured to carry both downlink and uplink communication (e.g., in TDD mode).

[0090] A carrier may be associated with a specific bandwidth of the RF spectrum, and in some examples, the carrier bandwidth may be referred to as the carrier or the “system bandwidth” of the wireless communication system 100. For example, the carrier bandwidth may be one bandwidth in a set of bandwidths for a particular radio access technology (e.g., 1.4 MHz, 3 MHz, 5 MHz, 10 MHz, 15 MHz, 20 MHz, 40 MHz, or 80 MHz). Devices of the wireless communication system 100 (e.g., network entity 105, UE 115, or both) may have hardware configurations that support communication using a specific carrier bandwidth, or may be configured to support communication using one of the carrier bandwidths in a set of carrier bandwidths. In some examples, the wireless communication system 100 may include network entity 105 or UE 115 that supports concurrent communication using carriers associated with multiple carrier bandwidths. In some examples, each served UE 115 may be configured to operate using a portion (e.g., subband, BWP) or all of the carrier bandwidth.

[0091] The signal waveform transmitted via a carrier may include multiple subcarriers (e.g., using multi-carrier modulation (MCM) techniques, such as orthogonal frequency division multiplexing (OFDM) or discrete Fourier transform extended OFDM (DFT-S-OFDM)). In a system employing MCM, a resource element may refer to a resource of one symbol period (e.g., the duration of one modulation symbol) and one subcarrier, in which case the symbol period and subcarrier spacing may be inversely related. The number of bits carried by each resource element may depend on the modulation scheme (e.g., the order of the modulation scheme, the decoding rate of the modulation scheme, or both), such that a relatively high number of resource elements (e.g., in the transmission duration) and a relatively high modulation scheme order correspond to a relatively high communication rate. Wireless communication resources may refer to a combination of RF spectrum resources, temporal resources, and spatial resources (e.g., spatial layers or beams), and the use of multiple spatial resources may increase the data rate or data integrity used for communication with UE 115.

[0092] It can support one or more sets of parameters for a carrier, and the set of parameters may include subcarrier spacing ( (and cyclic prefix). A carrier can be divided into one or more BWPs with the same or different sets of parameters. In some examples, UE 115 can be configured with multiple BWPs. In some examples, a single BWP of a carrier can be active at a given time, and the communication of UE 115 can be constrained to one or more active BWPs.

[0093] The time interval for network entity 105 or UE 115 can be expressed as a multiple of a basic time unit, such as the sampling period. seconds, of which This can represent the supported subcarrier spacing, while The supported Discrete Fourier Transform (DFT) size can be represented. The time interval of the communication resources can be organized according to radio frames, each with a specified duration (e.g., 10 milliseconds (ms)). Each radio frame can be identified by a System Frame Number (SFN) (e.g., ranging from 0 to 1023).

[0094] Each frame may include multiple consecutively numbered subframes or time slots, and each subframe or time slot may have the same duration. In some examples, a frame may (e.g., in the time domain) be divided into subframes, and each subframe may be further divided into a number of time slots. Alternatively, each frame may include a variable number of time slots, and the number of time slots may depend on the subcarrier spacing. Each time slot may include a number of symbol periods (e.g., depending on the length of the cyclic prefix appended to each symbol period). In some wireless communication systems 100, time slots may be further divided into multiple micro-time slots associated with one or more symbols. Excluding the cyclic prefix, each symbol period may be associated with one or more (e.g., The duration of a symbol period is associated with a (number) sampling period. The duration of a symbol period can depend on the subcarrier spacing or the operating frequency band.

[0095] A subframe, time slot, micro-time slot, or symbol can be the smallest scheduling unit of the wireless communication system 100 (e.g., in the time domain) and can be referred to as a transmission time interval (TTI). In some examples, the duration of the TTI (e.g., the number of symbol periods in the TTI) can be variable. Additionally or alternatively, the smallest scheduling unit of the wireless communication system 100 can be dynamically selected (e.g., in a burst of shortened TTIs (sTTIs)).

[0096] Depending on the technology, carriers can be used to multiplex physical channels for communication. One or more of Time Division Multiplexing (TDM), Frequency Division Multiplexing (FDM), or hybrid TDM-FDM techniques can be used, for example, to multiplex physical control channels and physical data channels for signaling via a downlink carrier. The control region (e.g., control resource set (CORESET)) of the physical control channel can be defined by a set of symbol periods and can extend across the system bandwidth of the carrier or a subset of that bandwidth. One or more control regions (e.g., CORESET) can be configured for a set of UEs 115. For example, one or more UEs in UE 115 can monitor or search for control regions to obtain control information based on one or more search space sets, and each search space set can include one or more control channel candidates in one or more aggregation levels arranged in a concatenated manner. The aggregation level of control channel candidates can refer to the amount of control channel resources (e.g., control channel elements (CCEs)) associated with coded information for a control information format having a given payload size. The search space set may include: a common search space set configured to transmit control information to multiple UEs 115, and a UE-specific search space set used to transmit control information to a specific UE 115.

[0097] Network entity 105 may provide communication coverage via one or more cells (e.g., macro cells, small cells, hotspots, or other types of cells, or any combination thereof). The term "cell" may refer to a logical communication entity used to communicate with network entity 105 (e.g., using a carrier) and may be associated with an identifier used to distinguish adjacent cells (e.g., Physical Cell Identifier (PCID), Virtual Cell Identifier (VCID), or other cell identifier). In some examples, a cell may also refer to a coverage area 110 or a portion of coverage area 110 (e.g., a sector) in which a logical communication entity operates. Depending on various factors such as the capabilities of network entity 105, the extent of such cells may range from smaller areas (e.g., structures, subsets of structures) to larger areas. For example, a cell may be or may include buildings, subsets of buildings, or external space between or overlapping coverage areas 110, etc.

[0098] Macro cells typically cover a relatively large geographical area (e.g., a radius of several kilometers) and allow unrestricted access to UE 115 that has a service subscription with a network provider supporting the macro cell. In contrast, small cells may be associated with a lower-power network entity 105 (e.g., a lower-power base station 140) and may operate using the same or different (e.g., licensed, unlicensed) frequency bands as macro cells. Small cells may provide unrestricted access to UE 115 that has a service subscription with a network provider, or restricted access to UE 115 associated with a small cell (e.g., UE 115 in a closed subscriber group (CSG), or UE 115 associated with a user in a home or office). Network entity 105 may support one or more cells and may also use one or more component carriers to support communication via one or more cells.

[0099] In some examples, a carrier can support multiple cells and can be configured with different cells based on different protocol types that can provide access for different types of devices (e.g., MTC, Narrowband IoT (NB-IoT), Enhanced Mobile Broadband (eMBB)).

[0100] In some examples, network entity 105 (e.g., base station 140, RU 170) may be mobile, and thus provide communication coverage to mobile coverage areas 110. In some examples, different coverage areas 110 associated with different technologies may overlap, but the different coverage areas 110 may be supported by the same network entity 105. In some other examples, overlapping coverage areas 110 associated with different technologies may be supported by different network entities 105. The wireless communication system 100 may include, for example, a heterogeneous network in which different types of network entities 105 use the same or different radio access technologies to provide coverage for various coverage areas 110.

[0101] The wireless communication system 100 can support synchronous or asynchronous operation. For synchronous operation, network entities 105 (e.g., base station 140) can have similar frame timings, and transmissions from different network entities 105 can be approximately time-aligned. For asynchronous operation, network entities 105 can have different frame timings, and in some examples, transmissions from different network entities 105 may not be time-aligned. The techniques described herein can be used for both synchronous and asynchronous operation.

[0102] Some UE 115 devices (such as MTC or IoT devices) can be low-cost or low-complexity devices and can provide automated communication between machines (e.g., via machine-to-machine (M2M) communication). M2M communication or MTC can refer to data communication technologies that allow devices to communicate with each other or with network entity 105 (e.g., base station 140) without human intervention. In some examples, M2M communication or MTC may include communication from devices with integrated sensors or meters to measure or acquire information and relay such information to a central server or application that uses the information or presents it to people interacting with the application. Some UE 115 devices may be designed to collect information or enable automated behavior of machines or other devices. Examples of applications for MTC devices include: smart metering, inventory monitoring, water level monitoring, equipment monitoring, healthcare monitoring, wildlife monitoring, weather and geographic event monitoring, queue management and tracking, remote security sensing, physical access control, and transaction-based commercial toll collection.

[0103] Some UE 115s can be configured to operate in a power-saving mode, such as half-duplex communication (e.g., a mode that supports unidirectional communication via transmission or reception but does not involve concurrent transmission and reception). In some examples, a reduced peak rate can be used to perform half-duplex communication. Other power-saving techniques for UE 115s include entering a power-saving deep sleep mode when not engaged in active communication, operating with limited bandwidth (e.g., according to narrowband communication), or a combination of these techniques. For example, some UE 115s can be configured to operate using a narrowband protocol type associated with a defined portion or range (e.g., a set of subcarriers or resource blocks (RBs)) within a carrier, within a carrier's guard band, or outside a carrier.

[0104] Wireless communication system 100 may be configured to support ultra-reliable communication or low-latency communication, or various combinations thereof. For example, wireless communication system 100 may be configured to support ultra-reliable low-latency communication (URLLC). UE 115 may be designed to support ultra-reliable or low-latency or critical functions. Ultra-reliable communication may include private or group communication and may be supported by one or more services, such as push-to-talk, video, or data. Support for ultra-reliable, low-latency functions may include prioritization of services, and such services may be used for public safety or general business applications. The terms “ultra-reliable,” “low-latency,” and “ultra-reliable low-latency” are used interchangeably herein.

[0105] In some examples, UE 115 may be configured to support direct communication with other UE 115s via device-to-device (D2D) communication link 135 (e.g., according to peer-to-peer (P2P), D2D, or sidelink protocols). In some examples, one or more UE 115s performing D2D communication in a group may be within the coverage area 110 of network entity 105 (e.g., base station 140, RU 170), which may support aspects of such D2D communication configured (e.g., scheduled by network entity 105). In some examples, one or more UE 115s in such a group may be outside the coverage area 110 of network entity 105, or may otherwise be unable or not configured to receive transmissions from network entity 105. In some examples, the group of UE 115s communicating via D2D communication may support a one-to-many (1:M) system, where each UE 115 transmits to each of the other UE 115s in the group. In some examples, network entity 105 may facilitate the scheduling of resources used for D2D communication. In other examples, D2D communication may be performed between UEs 115 without involving network entity 105.

[0106] In some systems, the D2D communication link 135 may be an example of a communication channel (such as a sidelink communication channel) between vehicles (e.g., UE 115). In some examples, vehicles may communicate using vehicle-to-vehicle (V2X) communication, vehicle-to-vehicle (V2V) communication, or a combination of these. Vehicles may signal information related to traffic conditions, signal control, weather, safety, emergencies, or any other information relevant to the V2X system. In some examples, vehicles in a V2X system may communicate with roadside infrastructure (such as roadside units), or communicate with the network via one or more network nodes (e.g., network entity 105, base station 140, RU 170) using vehicle-to-network (V2N) communication, or both.

[0107] Core network 130 provides user authentication, access authorization, tracking, Internet Protocol (IP) connectivity, and other access, routing, or mobility functions. Core network 130 may be an evolved packet core (EPC) or a 5G core (5GC), which may include at least one control plane entity (e.g., a mobility management entity (MME), access and mobility management function (AMF)) for managing access and mobility, and at least one user plane entity (e.g., a serving gateway (S-GW), packet data network (PDN) gateway (P-GW), or user plane function (UPF)) for routing packets or interconnecting to external networks. The control plane entity manages non-access stratum (NAS) functions, such as mobility, authentication, and bearer management of UE 115 served by network entity 105 (e.g., base station 140) associated with core network 130. User IP packets can be delivered through the user plane entity, which provides IP address allocation and other functions. The user plane entity may connect to one or more network operator IP services 150. IP services 150 may include access to the Internet, intranets, IP Multimedia Subsystem (IMS), or packet-switched streaming services.

[0108] Wireless communication system 100 can operate using one or more frequency bands in the range of 300 MHz to 300 GHz. Generally, the area from 300 MHz to 3 GHz is referred to as the Ultra High Frequency (UHF) band or decimeter band because the wavelength range is approximately one decimeter to one meter in length. UHF waves may be blocked or redirected by buildings and environmental features (which may be referred to as clusters), but these waves are sufficient to penetrate structures so that macrocells can provide service to UE 115 located indoors. Compared to communication using smaller frequencies and longer wavelengths in the lower frequency (HF) or very high frequency (VHF) portions of the spectrum below 300 MHz, communication using UHF waves can be associated with smaller antennas and shorter ranges (e.g., less than 100 km).

[0109] The wireless communication system 100 can also operate in the Ultra High Frequency (SHF) band (also known as the centimeter band) in the range of 3 GHz to 30 GHz or in the Extremely High Frequency (EHF) band (e.g., 30 GHz to 300 GHz) (also known as the millimeter band) using the spectrum. In some examples, the wireless communication system 100 can support millimeter-wave (mmW) communication between the UE 115 and the network entity 105 (e.g., base station 140, RU170), and the EHF antennas of the corresponding devices can be smaller and more closely spaced than UHF antennas. In some examples, such techniques facilitate the use of antenna arrays within the device. However, compared to SHF or UHF transmission, EHF transmission may experience even greater attenuation and a shorter range. The techniques disclosed herein can be adopted for transmission across one or more different frequency bands, and the frequency band usage specified across these frequency bands may vary by country or regulatory authority.

[0110] Wireless communication system 100 may utilize both licensed and unlicensed RF spectrum bands. For example, wireless communication system 100 may use unlicensed frequency bands (such as the 5 GHz Industrial, Scientific, and Medical (ISM) band) to employ Licensed Assisted Access (LAA), LTE-Unlicensed (LTE-U) radio access technology, or NR technology. When operating with unlicensed RF spectrum, devices such as network entity 105 and UE 115 may employ carrier sensing for collision detection and avoidance. In some examples, operation using unlicensed frequency bands may be combined with component carriers operating with licensed frequency bands based on carrier aggregation configurations (e.g., LAA). Operation using unlicensed spectrum may include downlink transmission, uplink transmission, P2P transmission, or D2D transmission, etc.

[0111] Network entity 105 (e.g., base station 140, RU 170) or UE 115 may be equipped with multiple antennas that can be used to employ techniques such as transmit diversity, receive diversity, multiple-input multiple-output (MIMO) communication, or beamforming. The antennas of network entity 105 or UE 115 may be located within one or more antenna arrays or antenna panels, which can support MIMO operation or transmit or receive beamforming. For example, one or more base station antennas or antenna arrays may be co-located at an antenna assembly (such as an antenna tower). In some examples, the antennas or antenna arrays associated with network entity 105 may be located at different geographical locations. Network entity 105 may include an antenna array having a collection of multiple rows and columns of antenna ports that network entity 105 can use to support beamforming for communication with UE 115. Similarly, UE 115 may include one or more antenna arrays that can support various MIMO or beamforming operations. Additionally or alternatively, the antenna panel may support RF beamforming for signals transmitted via the antenna ports.

[0112] Network entity 105 or UE 115 can use MIMO communication to leverage multipath signal propagation and improve spectral efficiency by transmitting or receiving multiple signals via different spatial layers. This technique is known as spatial multiplexing. The multiple signals can be transmitted, for example, by a transmitting device via different antennas or different combinations of antennas. Similarly, the multiple signals can be received by a receiving device via different antennas or different combinations of antennas. Each of the multiple signals can be referred to as a separate spatial stream and can carry information associated with the same data stream (e.g., the same codeword) or different data streams (e.g., different codewords). Different spatial layers can be associated with different antenna ports used for channel measurement and reporting. MIMO techniques include: single-user MIMO (SU-MIMO), for which multiple spatial layers are transmitted to the same receiving device; and multi-user MIMO (MU-MIMO), for which multiple spatial layers are transmitted to multiple devices.

[0113] Beamforming (also known as spatial filtering, directional transmission, or directional reception) is a signal processing technique that can be used at a transmitting or receiving device (e.g., network entity 105, UE 115) to shape or guide an antenna beam (e.g., a transmit beam, a receive beam) along a spatial path between the transmitting and receiving devices. Beamforming can be achieved by combining signals transmitted via antenna elements of an antenna array such that some signals propagating along a specific orientation relative to the antenna array experience constructive interference, while other signals experience destructive interference. Adjustments to the signals transmitted via the antenna elements may include applying amplitude shifts, phase shifts, or both to the signals carried via the antenna elements associated with the device. The adjustments associated with each of these antenna elements may be defined by a beamforming weight set associated with a specific orientation (e.g., relative to the antenna array of the transmitting or receiving device or relative to some other orientation).

[0114] Network entity 105 or UE 115 may use beam scanning technology as part of beamforming operations. For example, network entity 105 (e.g., base station 140, RU 170) may use multiple antennas or antenna arrays (e.g., antenna panels) to perform beamforming operations for directional communication with UE 115. Some signals (e.g., synchronization signals, reference signals, beam selection signals, or other control signals) may be transmitted multiple times by network entity 105 along different directions. For example, network entity 105 may transmit signals according to different beamforming weight sets associated with different transmission directions. Transmission along different beam directions may be used to identify (e.g., by a transmitting device (such as network entity 105) or by a receiving device (such as UE 115)) the beam direction for later transmission or reception by network entity 105.

[0115] Some signals (such as data signals associated with a specific receiving device) may be transmitted by a transmitting device (e.g., transmitting network entity 105, transmitting UE 115) along a single beam direction (e.g., the direction associated with the receiving device (such as receiving network entity 105 or receiving UE 115). In some examples, the beam direction associated with transmission along a single beam direction may be determined based on the signals transmitted along one or more beam directions. For example, UE 115 may receive one or more signals transmitted by network entity 105 along different directions and may report to network entity 105 an indication of signals received by UE 115 with the highest signal quality or other acceptable signal quality.

[0116] In some examples, transmissions performed by a device (e.g., network entity 105 or UE 115) may be performed using multiple beam directions, and the device may use a combination of digital pre-decoding or beamforming to generate combined beams for transmission (e.g., from network entity 105 to UE 115). UE 115 may report feedback indicating pre-decoding weights for one or more beam directions, and this feedback may correspond to a set of beams configured across the system bandwidth or one or more sub-bands. Network entity 105 may transmit reference signals (e.g., cell-specific reference signals (CRS), channel state information reference signals (CSI-RS)) that may or may not be pre-decoded. UE 115 may provide feedback on beam selection, which may be a pre-decoding matrix indicator (PMI) or codebook-based feedback (e.g., multi-panel codebook, linear combination codebook, port selection codebook). Although these techniques are described with reference to signals transmitted by network entity 105 (e.g., base station 140, RU 170) along one or more directions, UE 115 may use similar techniques to transmit signals multiple times along different directions (e.g., to identify the beam direction used by UE 115 for subsequent transmission or reception), or to transmit signals along a single direction (e.g., to transmit data to a receiving device).

[0117] A receiving device (e.g., UE 115) may perform reception operations according to multiple reception configurations (e.g., directional listening) when receiving various signals (such as synchronization signals, reference signals, beam selection signals, or other control signals) from a transmitting device (e.g., network entity 105). For example, the receiving device may perform reception according to multiple reception directions by: receiving via different antenna subarrays; processing the received signal according to different antenna subarrays; receiving according to different sets of reception beamforming weights (e.g., different directional listening weight sets) applied to signals received at multiple antenna elements of the antenna array; or processing the received signal according to different sets of reception beamforming weights applied to signals received at multiple antenna elements of the antenna array. Any of these operations may be referred to as “listening” according to different reception configurations or reception directions. In some examples, the receiving device may use a single reception configuration to receive along a single beam direction (e.g., when a data signal is received). A single receiver configuration can be aligned along a beam direction determined based on listening according to different receiver configuration directions (e.g., a beam direction determined to have the highest signal strength, highest signal-to-noise ratio (SNR), or other acceptable signal quality based on listening according to multiple beam directions).

[0118] The wireless communication system 100 can be a packet-based network operating according to a layered protocol stack. In the user plane, communication at the bearer or PDCP layer can be IP-based. The RLC layer can perform packet segmentation and reassembly for transmission via logical channels. The MAC layer can perform priority handling and multiplexing of logical channels to transport channels. The MAC layer can also use error detection, error correction, or both to support retransmission to improve link efficiency. In the control plane, the RRC layer can provide the establishment, configuration, and maintenance of RRC connections between the UE 115 and network entity 105 or core network 130 that support user plane data radio bearers. The PHY layer can map transport channels to physical channels.

[0119] UE 115 and network entity 105 can support data retransmission to increase the likelihood of successful data reception. Hybrid Automatic Repeat Request (HARQ) feedback is a technique used to increase the likelihood of correctly receiving data via communication links (e.g., communication link 125, D2D communication link 135). HARQ may include a combination of error detection (e.g., using Cyclic Redundancy Check (CRC)), forward error correction (FEC), and retransmission (e.g., Automatic Repeat Request (ARQ)). HARQ can improve throughput at the MAC layer under poor radio conditions (e.g., low signal-to-noise ratio conditions). In some examples, the device may support same-slot HARQ feedback, in which case the device can provide HARQ feedback in a specific time slot for data received via a previous symbol in that time slot. In some other examples, the device may provide HARQ feedback in subsequent time slots or according to a different time interval.

[0120] A first UE 115 receiving a message from a network entity (e.g., a base station, a UE) may experience CLI from another transmission, which could originate from a second UE 115 or the first UE. If the other transmission originates from the first UE, it can be termed self-interference. As CLI power increases across a set of resources for receiving messages, the likelihood of the first UE 115 successfully decoding the first message may decrease. Techniques that reduce CLI or keep CLI below a threshold can make the first UE 115 more likely to successfully decode the first message, and thus improve the efficiency of wireless communication.

[0121] This disclosure describes techniques for enabling CLI to be reduced or kept below a threshold. For example, a first UE 115 may generate a CLI report including CLI information for multiple hypotheses, where each hypothesis corresponds to a condition that determines the value of a parameter associated with CLI. For example, the values ​​of these parameters may be determined under the assumption of different backoff transmission power for another transmitting UE 115, or by measuring different transmit beams of another transmitting UE 115, transmit beams of different UEs, or different receive beams of the first UE. Additionally or alternatively, different hypotheses may be associated with different IMRs on which CLI is measured. In some examples, the determined CLI information may include CQI, PMI, RI, SINR, RSRP, RSSI, or any combination thereof. In some examples, the CLI information in the CLI report may be included together with a CSI report, or may be reported separately. Upon receiving a CLI report, a network entity may determine the hypothesis associated with a desired amount of CLI (e.g., CLI below a threshold amount) and may adjust one or more aspects of wireless communication accordingly (e.g., parameters of the first and / or second UE 115).

[0122] Figure 2 Examples of a wireless communication system 200 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, are shown. In some examples, the wireless communication system 200 may implement... Figure 1 One or more aspects. For example, network entities 202-a through 202-c can each be as referenced. Figure 1 The network entity 105 described or as referenced Figure 1 An example of UE 115 as described.

[0123] In some examples, network entity 202-a may send control information 205 to network entity 202-b. Control information 205 may include first information indicating one or more IMRs for CLI measurements and / or may include second information indicating a set of assumptions (e.g., first assumption 225-a and second assumption 225-b) determined for one or more CLIs. Each assumption in this set may correspond to a corresponding condition for determining the value of a parameter associated with the CLI. Additionally, network entity 202-c may send a message that acts as CLI 215 when received by network entity 202-b. In such examples, network entity 202-c may act as an attacking UE (e.g., a UE as a source of interference), and network entity 202-b may act as a victim UE (e.g., a UE as a receiver of interference). Additional details regarding the source and receiver of CLIs may be referenced herein, for example. Figure 3 To describe.

[0124] Network entity 202-b can generate CLI report 210, which includes corresponding CLI information for each of two or more hypotheses in the set of hypotheses (e.g., a subset of the set of hypotheses). For example, the report may include first CLI information for first hypothesis 225-a and second CLI information for hypothesis 225-b. The first and second CLI information may include values ​​of parameters (e.g., CQI, RI, PMI, SINR, CLI RSRP, CLI RSSI) determined according to their respective hypotheses. In some examples, the corresponding CLI information for each of the two or more hypotheses may be based on first information indicating one or more IMRs. Network entity 202-b may send CLI report 210 to network entity 202-a.

[0125] For example, in a first example, a first hypothesis 225-a may be associated with a first sub-configuration in which no CLI resource is configured, and a second hypothesis 225-b may be associated with a second sub-configuration in which an IMR is configured. In such examples, network entity 202-b may determine the values ​​of parameters (e.g., CQI, RI, PMI, SINR) of the first hypothesis 225-a without considering CLI 215 (e.g., without measuring CLI 215 on the IMR). Additionally, network entity 202-b may determine the values ​​of parameters (e.g., CQI, RI, PMI, SINR, CLI RSRP, CLI RSSI) of the second hypothesis 225-b while considering CLI 215 (e.g., by measuring CLI 215 on the IMR). Interference (e.g., inter-cell interference of MU-MIMO, inter-beam interference) may be captured based on the configuration of network entity 202-a. In some examples, the first sub-configuration in which no IMR is configured may be optional. For example, network entity 202-a can configure CLI report 210 to include a first assumption 225-a associated with the first sub-configuration.

[0126] In the second example, the first assumption 225-a may be associated with a first sub-configuration that uses a first transmit power backoff value (e.g., an uplink transmit power backoff value), and the second assumption 225-b may be associated with a second assumption that uses a second transmit power backoff value (e.g., a second uplink transmit power backoff value). In such an example, network entity 202-b may determine the value of the parameter of the first assumption 225-a when the first transmit power backoff value is applied, and may determine the value of the parameter of the second assumption 225-b when the second transmit power backoff value is applied.

[0127] In yet another instance of the second example, CLI report 210 (e.g., a single combined CSI and CLI report) may be configured with multiple transmit power backoff values ​​for CLI calculations and / or assumptions for CLI report 210. For example, a first assumption in this set of assumptions may be associated with a first sub-configuration in which a CLI resource (e.g., an IMR) is configured for measuring the first transmit beam of network entity 202-c via the first receive beam of network entity 202-b without transmit power backoff, or a 0dB transmit power backoff is configured. Additionally, a second assumption in this set of assumptions may be associated with a second sub-configuration in which a CLI resource is configured for measuring the first transmit beam of network entity 202-c via the first receive beam of network entity 202-b with a first transmit power backoff value (e.g., 3dB). Additionally, the third assumption in this set of assumptions may be associated with a third sub-configuration, in which a CLI resource is configured to measure the first transmit beam of network entity 202-c via the first receive beam of network entity 202-b with a second transmit power backoff value (e.g., 5 dB). In some examples, the fourth assumption in this set of assumptions may not be associated with a CLI resource (e.g., the parameter value of the fourth assumption may be determined without considering CLI). In such examples, multiple CQIs or multiple CLI RSRPs and / or RSSIs that capture CLI as interference may be calculated based on no CLI impact (e.g., the fourth assumption), CLI impact without power backoff (e.g., the first assumption), 3 dB power backoff (e.g., the second assumption), and 5 dB power backoff (e.g., the third assumption). In some examples, reporting CQI, CLI RSRP, or CLI RSSI may depend on the reportQuantity configuration. Using this information, network entity 202-a can determine the CLI impact and can determine the transmit power backoff value that network entity 202-c should use when sending messages. Additional details regarding the assumptions associated with the different transmit power backoff values ​​can be found, for example, in this document by referring to... Figure 4 To describe.

[0128] In some examples, an IMR resource can be configured for CLI measurements, in which case network entity 202-b can apply multiple (e.g., two) different transmit power backoff values ​​in two calculations and can generate multiple (e.g., two) hypotheses for CLI report 210 based on a single IMR. In other examples, multiple (e.g., two) One IMR resource can be configured for CLI measurements, in which case network entity 202-b can measure multiple (two, ...) IMR resources via multiple IMR resources. One) sends a power backoff value, and can generate multiple (two, ...) for CLI report 210. (1) Assumptions. In some examples, network entity 202-a and / or network entity 202-b may use UE capabilities that indicate the maximum number of CLI RSRP and / or CLIRSSI measurement resources per time slot to configure sub-configurations and / or assumptions.

[0129] In some examples, network entity 202-a can provide signaling to configure a transmit power backoff value in the CLI resource configuration (e.g., SRS resource configuration) for network entity 202-c. In some examples, network entity 202-a can provide signaling to configure a transmit power backoff value in the CLI resource configuration for network entity 202-b.

[0130] In the third example, the first hypothesis 225-a can be associated with the first transmit beam of the measured network entity 202-c, and the second hypothesis 225-b can be associated with the second transmit beam of the measured network entity 202-c. In this type of example, network entity 202-b can determine the value of the parameter of hypothesis 225-a when measuring CLI 215 from the first transmit beam of network entity 202-c, and can determine the value of the parameter of the second hypothesis 225-b when measuring CLI 215 from the second transmit beam of network entity 202-c.

[0131] In another instance of the third example, CLI report 210 (e.g., a single combined CSI and CLI report) may be configured with multiple CLI IMRs for CLI, corresponding to multiple transmit beams of network entity 202-c for CLI calculations and / or assumptions used in CLI report 210. For example, a first assumption in this set of assumptions may be associated with a first sub-configuration having one CLI resource to measure the first transmit beam of network entity 202-c via a first IMR and a first receive beam of network entity 202-b. Additionally, a second assumption in this set of assumptions may be associated with a first sub-configuration having one CLI resource to measure the second transmit beam of network entity 202-c via a first receive beam of network entity 202-b and a second IMR. In some examples, a third assumption in this set of assumptions may not be associated with CLI resources (e.g., the parameter value of the third assumption may be determined without measuring or considering CLI). In such examples, multiple CQIs or multiple CLI RSRPs and / or RSSIs that capture CLIs as interference can be calculated based on no CLI impact (e.g., the third assumption), CLI impact with a first transmit beam via the measurement network entity 202-c (e.g., the first assumption), and CLI impact with a second transmit beam via the measurement network entity 202-c (e.g., the second assumption). Additional details regarding the assumptions associated with different transmit beams of a single attacker UE can be found, for example, in reference to [reference needed]. Figure 5 To describe.

[0132] In the fourth example, a first hypothesis 225-a can be associated with measuring CLI 215 using a first receiving beam of network entity 202-b, and a second hypothesis 225-b can be associated with measuring CLI 215 using a second receiving beam of network entity 202-b. In such examples, network entity 202-b can determine the value of the parameter of hypothesis 225-a when measuring CLI 215 using its first receiving beam, and can determine the value of the parameter of the second hypothesis 225-b when measuring CLI 215 using its second receiving beam.

[0133] In another instance of the fourth example, CLI report 210 (e.g., a single combined CSI and CLI report) may be configured with multiple CLI IMRs for CLI, corresponding to multiple receive beams of network entity 202-b for CLI calculations and / or assumptions used in CLI report 210, wherein CLI 215 may correspond to multiple receive beams via Quasi-Co-located (QCL) type D for each receive CLI resource configuration. For example, a first assumption in this set of assumptions may be associated with a first sub-configuration having one CLI resource to measure the first transmit beam of network entity 202-c via a first IMR and the first receive beam of network entity 202-b. Additionally, a second assumption in this set of assumptions may be associated with a first sub-configuration having one CLI resource to measure the first transmit beam of network entity 202-c via a second receive beam and a second IMR of network entity 202-b. In some examples, a third assumption in this set of assumptions may not be associated with CLI resources (e.g., the parameter value of the third assumption may be determined without measuring or considering CLI). In such examples, multiple CQIs or multiple CLI RSRPs and / or RSSIs that capture CLI as interference can be calculated based on no CLI impact (e.g., the third assumption), CLI impact measured via a first receive beam using network entity 202-b (e.g., the first assumption), and CLI impact measured via a second receive beam using network entity 202-b (e.g., the second assumption). Additional details regarding the assumptions associated with different receive beams of the victim UE can be found herein, for example, in reference to... Figure 6 To describe.

[0134] In the fifth example, the first hypothesis 225-a may be associated with measuring the first transmit beam of network entity 202-c, and the second hypothesis 225-b may be associated with measuring the second transmit beam of another UE (e.g., another network entity). In such an example, network entity 202-b may determine the value of the parameter of hypothesis 225-a when measuring CLI 215 of the first transmit beam from network entity 202-c, and may determine the value of the parameter of the second hypothesis 225-b when measuring CLI 215 of the second transmit beam from another UE.

[0135] In another instance of the fifth example, CLI report 210 (e.g., a single combined CSI and CLI report) may be configured with multiple CLI IMRs for CLI, corresponding to multiple transmitting UEIDs (e.g., multiple UEs) for CLI calculations and / or assumptions used in CLI report 210. For example, a first assumption in this set of assumptions may be associated with a first sub-configuration having one CLI resource to measure the first transmitting beam of network entity 202-c via a first IMR and a first receiving beam of network entity 202-b. Additionally, a second assumption in this set of assumptions may be associated with a first sub-configuration having one CLI resource to measure the second transmitting beam of another UE via the first receiving beam and a second IMR of network entity 202-b. In some examples, a third assumption in this set of assumptions may not be associated with CLI resources (e.g., the parameter value of the third assumption may be determined without measuring or considering CLI). In such examples, multiple CQIs or multiple CLI RSRPs and / or RSSIs that would capture CLI as interference can be calculated based on no CLI impact (e.g., the third assumption), CLI impact with a first transmit beam via the measurement network entity 202-c (e.g., the first assumption), and CLI impact with a second transmit beam via the measurement of another UE (e.g., the second assumption). Additional details regarding the assumptions associated with the transmit beams of different attacking UEs can be found, for example, in reference to [reference needed]. Figure 7 To describe.

[0136] In the sixth example, the first hypothesis 225-a may be associated with the first IMR, and the second hypothesis 225-b may be associated with the second IMR and / or the first IMR. In such an example, network entity 202-b may determine the value of the parameter of hypothesis 225-a when measuring CLI 215 on the first IMR, and may determine the value of the parameter of the second hypothesis 225-b when measuring CLI 215 on the second IMR and / or the first IMR.

[0137] In another instance of the sixth example, CLI report 210 (e.g., a single combined CSI and CLI report) can be configured with multiple sub-configurations or hypotheses. If two IMRs (e.g., a first IMR and a second IMR) are configured for CLI (e.g., associated with two beams of network entity 202-c or a beam of network entity 202-c and a beam of another network entity), multiple hypotheses can be calculated and / or generated. In the example where CQI is used as a reporting quantity (e.g., via a reportQuantity indication), both the first IMR and the second IMR can be used to calculate the first CQI, only the first IMR can be used to calculate the second CQI, and the second IMR can be used to calculate the third CQI. Without departing from the scope of this disclosure, similar techniques can be performed using SINR, CLI RSRP, or CLI RSSI in place of or in conjunction with CQI. In some examples, each of the first CQI, second CQI, and third CQI can correspond to a separate hypothesis. Additionally or alternatively, the first, second, and third CQIs may be included in CLI report 210.

[0138] In yet another instance of the sixth example, if two IMRs are configured for CLI and each IMR is associated with two configured power control backoff values ​​(e.g., uplink power control backoff values), multiple hypotheses can be calculated and / or generated. For example, the two IMRs may include a first IMR and a second IMR, and the two configured power control backoff values ​​may include a first power control backoff value and a second power control backoff value. In an example where CQI is used as a reporting quantity (e.g., via reportQuantity), the first CQI can be calculated using a first power control backoff value and only the first IMR; the second CQI can be calculated using a second power control backoff value and only the first IMR; the third CQI can be calculated using a first power control backoff value and only the second IMR; the fourth CQI can be calculated using a second power control backoff value and only the second IMR; the fifth CQI can be calculated using both the first and second IMRs and the first power control backoff value of both IMRs; the sixth CQI can be calculated using both the first and second IMRs and the second power control backoff value of both IMRs; the seventh CQI can be calculated using both the first and second IMRs and the first power control backoff value of the first IMR and the second power control backoff value of the second IMR; and the eighth CQI can be calculated using both the first and second IMRs and the second power control backoff value of the first IMR and the first power control backoff value of the first IMR. Without departing from the scope of this disclosure, SINR, CLI RSRP, or CLI RSSI may be used in place of or in conjunction with CQI to perform similar techniques. In some examples, each of the first through eighth CQIs may correspond to a separate hypothesis. Additionally or alternatively, the first through eighth CQIs may be included in CLI report 210. Additional details regarding the hypotheses associated with the different IMRs may be referenced herein, for example, to... Figure 8 To describe.

[0139] In some examples, to reduce overhead, a subset of this set of assumptions can be reported to network entity 202-a. For instance, if multiple IMRs are configured for each attacker UE (e.g., network entity 202-c), the victim UE (e.g., network entity 202-b) can report the highest or lowest interference for each attacker UE (e.g., the top or lowest interference). (One) CLI resource. For example, network entity 202-b can report a first IMR corresponding to a first attacking UE and a second IMR corresponding to a second attacking UE.

[0140] In some examples, performing the techniques described herein may have one or more advantages. For example, sending a CLI report 210 including multiple assumptions by network entity 202-b may enable network entity 202-a to adjust aspects of wireless communication to conform to the assumptions associated with the desired CLI amount (e.g., a CLI amount below a threshold amount). For example, network entity 202-a may adjust parameters to match the values ​​of those parameters in a particular assumption (e.g., the beamforming of network entity 202-b and / or network entity 202-c, or the transmit power backoff value associated with network entity 202-c). In the case of a small amount of CLI, the efficiency of wireless communication may be reduced.

[0141] Figure 3 Examples of a wireless communication system 300 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, are shown. In some examples, the wireless communication system 300 may implement... Figure 1 and Figure 2 One or more aspects. For example, network entities 302-a to 302-f can each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, or as referenced Figure 2 Examples of one of the network entities 202-a to 202-c described herein. Additionally, coverage areas 110-a and 110-b may each be as described in the reference. Figure 1 An example of the coverage area 110 described.

[0142] Network entities 302-a and 302-c may be within coverage area 110-a associated with network entity 302-b, and network entities 302-d and 302-f may be within coverage area 110-b associated with network entity 302-e. In some examples, network entity 302-a may send a first message 305-a to network entity 302-b, and network entity 302-c may receive a second message 310-a from network entity 302-b. Additionally, network entity 302-d may send a third message 305-b to network entity 302-e, and network entity 302-f may receive a fourth message 310-b from network entity 302-e. Although the first message 305-a may be directed to network entity 302-b, a component of the first message 305-a may be received at network entity 302-c and may interfere with the second message 310-a as CLI 320-a. Similarly, although the third message 305-b can be directed to network entity 302-e, a component of the third message 305-b can be received at network entity 302-f and may interfere with the fourth message 310-b as CLI 320-b. Additionally, another component of the third message 305-b can be received at network entity 302-c and may interfere with the second message 310-a as CLI 325. In some examples, a component of the second message 310-a can be received at network entity 302-e and may interfere with the third message 305-b as CLI 315. In examples where network entities 302-a, 302-c, 302-d, and 302-f are UEs, CLI 320-a and 320-b can each be referred to as intra-cell inter-UE CLI, CLI 325 can be referred to as inter-cell inter-UE CLI, and CLI 315 can be referred to as inter-network entity CLI.

[0143] In some examples, network entities 302-a and 302-c can operate with network entity 302-b in subband full-duplex (SBFD) mode. For example, a transmission to network entity 302-b (e.g., first message 305-a) can be scheduled on a first set of frequency resources (e.g., a first set of subbands) that overlaps in time with a second set of frequency resources (e.g., a second set of subbands) scheduled for a transmission from network entity 302-b (e.g., a second message 310-a) (e.g., occurring in the same time slot as the second set of frequency resources). The first set of frequency resources can completely exclude the second set of frequency resources, partially overlap with the second set of frequency resources, or completely overlap with the second set of frequency resources. In examples where the first and second sets of frequency resources completely exclude each other, CLIs 315, 320-a, 320-b, and 325 can be referred to as inter-subband CLIs. However, in examples where the first and second sets of frequency resources at least partially overlap, CLIs 315, 320-a, 320-b, and 325 may include one or both of inter-subband CLIs and intra-band CLIs. In some examples, network entities 302-a and 302-c may operate in dynamic and / or flexible time-division duplex (TDD) modes, in which case the techniques described herein may be applied without departing from the scope of this disclosure. Additionally, in examples where network entities 302-b and / or 302-e are UEs, the techniques described herein may be used for UE SBFD and / or UE partial or full frequency duplexing.

[0144] The techniques described herein can mitigate CLIs between UEs, such as CLIs 320-a, 320-b, and 325. For example, network entity 302-c can receive first information indicating one or more IMRs for CLI measurement and second information indicating a set of assumptions determined for one or more CLIs. Network entity 302-c can measure CLIs on one or more IMRs and can generate a CLI report based on the set of assumptions, the CLI report including CLI information for at least a subset of the set of assumptions. Network entity 302-c can provide the CLI report to network entity 302-b, and network entity 302-b can determine assumptions associated with a desired CLI amount (e.g., CLIs below a threshold amount) and can adjust one or more aspects of wireless communication accordingly. For example, network entity 302-b can adjust parameters (e.g., transmit power backoff values, beamforming) associated with communicating with network entity 302-a and / or network entity 302-c, and can provide indications of those parameters to network entity 302-a and / or network entity 302-c.

[0145] Figure 4Examples of a wireless communication system 400 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, are shown. In some examples, the wireless communication system 400 may implement... Figures 1 to 3 One or more aspects. For example, network entities 402-a to 402-c can each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, such as those in the reference Figure 2 The network entity described is one of 202-a to 202-c, or as referenced Figure 3 Examples of one of the network entities 302-a to 302-f described.

[0146] like Figure 4 As depicted, network entity 402-b may send a CLI report to network entity 402-a including first CLI information 405 and second CLI information 410. In some examples, the first CLI information 405 may correspond to a first hypothesis, and the second CLI information 410 may correspond to a second hypothesis. For example, the first hypothesis may be associated with a first sub-configuration in which a first transmit power backoff value 415-a (e.g., a first uplink transmit power backoff value) of network entity 402-c is configured, and the second hypothesis may be associated with a second sub-configuration in which a second transmit power backoff value 415-b (e.g., a second uplink transmit power backoff value) is configured. In such examples, network entity 402-b may determine the CLI information 405 for the first hypothesis when applying the first transmit power backoff value 415-a, and may determine the second CLI information 410 when applying the second transmit power backoff value 415-b.

[0147] Figure 5 Examples of a wireless communication system 500 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, are shown. In some examples, the wireless communication system 500 may implement... Figures 1 to 4 One or more aspects. For example, network entities 502-a to 502-c can each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, such as those in the reference Figure 2 One of the network entities described in 202-a to 202-c, as referenced Figure 3 One of the network entities described in 302-a to 302-f, or as referenced Figure 4 Examples of one of the network entities 402-a to 402-c described.

[0148] like Figure 5As depicted, network entity 502-b may send a CLI report to network entity 502-a including first CLI information 505 and second CLI information 510. In some examples, the first CLI information 505 may correspond to a first hypothesis, and the second CLI information 510 may correspond to a second hypothesis. For example, the first hypothesis may be associated with measuring a first transmission beam 515-a of network entity 502-c, and the second hypothesis may be associated with measuring a second transmission beam 515-b of network entity 502-c. In such examples, network entity 502-b may determine the first CLI information 505 for the first hypothesis when measuring the CLI from the first transmission beam 515-a of network entity 502-c, and may determine the second CLI information 510 when measuring the CLI from the second transmission beam 515-b of network entity 502-c.

[0149] Figure 6 Examples of a wireless communication system 600 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, are shown. In some examples, the wireless communication system 600 may implement... Figures 1 to 5 One or more aspects. For example, network entities 602-a and 602-b could each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, such as those in the reference Figure 2 One of the network entities described in 202-a to 202-c, as referenced Figure 3 One of the network entities described in 302-a to 302-f, as referenced Figure 4 The network entity described is one of 402-a to 402-c, or as referenced Figure 5 Examples of one of the network entities 502-a to 502-c described.

[0150] like Figure 6As depicted, network entity 602-b may send a CLI report to network entity 602-a including first CLI information 605 and second CLI information 610. In some examples, the first CLI information 605 may correspond to a first hypothesis, and the second CLI information 610 may correspond to a second hypothesis. For example, the first hypothesis may be associated with measuring CLI using a first receiving beam 615-a of network entity 602-b, and the second hypothesis may be associated with measuring CLI using a second receiving beam 615-b of network entity 602-b. In such examples, network entity 602-b may determine the first CLI information 605 for the first hypothesis when measuring CLI using the first receiving beam 615-a of network entity 602-b, and may determine the second CLI information 610 for the second hypothesis when measuring CLI using the second receiving beam 615-b of network entity 602-b.

[0151] Figure 7 An example of a wireless communication system 700 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. In some examples, the wireless communication system 700 may implement... Figures 1 to 6 One or more aspects. For example, network entities 702-a to 702-d can each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, such as those in the reference Figure 2 One of the network entities described in 202-a to 202-c, as referenced Figure 3 One of the network entities described in 302-a to 302-f, as referenced Figure 4 One of the network entities described in 402-a to 402-c, as referenced Figure 5 The network entity described is one of 502-a to 502-c, or as referenced Figure 6 An example of one of the described network entities 602-a and 602-b.

[0152] like Figure 7As depicted, network entity 702-b may send a CLI report to network entity 702-a including first CLI information 705 and second CLI information 710. In some examples, a first hypothesis may be associated with measuring a first transmission beam 715-a of network entity 702-c, and a second hypothesis may be associated with measuring a second transmission beam 715-b of network entity 702-d. In such examples, network entity 702-b may determine first CLI information 705 for the first hypothesis when measuring CLI from the first transmission beam 715-a of network entity 702-c, and may determine second CLI information 710 for the second hypothesis when measuring CLI from the second transmission beam 715-b of network entity 702-d.

[0153] Figure 8 Examples of a wireless communication system 800 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, are shown. In some examples, the wireless communication system 800 may implement... Figures 1 to 7 One or more aspects. For example, network entities 802-a and 802-b could each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, such as those in the reference Figure 2 One of the network entities described in 202-a to 202-c, as referenced Figure 3 One of the network entities described in 302-a to 302-f, as referenced Figure 4 One of the network entities described in 402-a to 402-c, as referenced Figure 5 One of the network entities described in 502-a to 502-c, as referenced Figure 6 One of the network entities 602-a and 602-b described, or as referenced Figure 7 Examples of one of the network entities 702-a to 702-d described.

[0154] like Figure 8 As depicted, network entity 802-b may send a CLI report to network entity 802-a including first CLI information 805 and second CLI information 810. In some examples, a first hypothesis may be associated with a first IMR 815-a, and a second hypothesis may be associated with a second IMR 815-b and / or the first IMR 815-a. In such examples, network entity 802-b may determine the first CLI information 805 for the first hypothesis when measuring CLI on the first IMR 815-a, and may determine the second CLI information 810 when measuring CLI on the second IMR 815-b and / or the first IMR 815-a.

[0155] Figure 9 An example of a process flow 900 supporting cross-link interference reporting with multiple assumptions, according to one or more aspects of this disclosure, is shown. In some examples, process flow 900 may implement... Figures 1 to 8 One or more aspects. For example, network entities 902-a and 902-b could each be as referenced. Figure 1 The UE 115 described, as referenced Figure 1 The network entities described, such as those in the reference Figure 2 One of the network entities described in 202-a to 202-c, as referenced Figure 3 One of the network entities described in 302-a to 302-f, as referenced Figure 4 One of the network entities described in 402-a to 402-c, as referenced Figure 5 One of the network entities described in 502-a to 502-c, as referenced Figure 6 One of the network entities 602-a and 602-b described, as referenced Figure 7 One of the network entities described in 702-a to 702-d, or as referenced Figure 8 An example of one of the described network entities 802-a and 802-b.

[0156] At 905, the first network entity 902-a sends first control information. The second network entity 902-b may receive the first control information. In some examples, the first control information may include first information and second information, wherein the first information indicates one or more IMRs for CLI measurements, and the second information indicates a set of assumptions determined for one or more CLIs. In some examples, the first control information may be indicated in a reporting configuration.

[0157] At 910, the first network entity 902-a may send second control information indicating a first transmit power backoff value and a second transmit power backoff value. In such an example, each of the first transmit power backoff value and the second transmit power backoff value may be equal to or greater than zero.

[0158] At 915, the second network entity 902-b can generate a CLI report including corresponding CLI information for each of two or more of the set of assumptions, wherein the corresponding CLI information for each of the two or more assumptions is based on first information indicating one or more IMRs. In some examples, the two or more assumptions may include a first assumption and a second assumption. In some such examples, the corresponding CLI information for the first assumption may include CQI, RI, PMI, or SINR. Additionally, the first assumption may be associated with the absence of a CLI measurement, and the second assumption may be associated with a CLI measurement based on one or more IMRs. Additionally or alternatively, the first assumption may be associated with a first transmit power backoff value, and the second assumption may be associated with a second transmit power backoff value.

[0159] In some examples, at least one of one or more IMRs may be associated with multiple hypotheses among two or more hypotheses. Additionally or alternatively, a first IMR among one or more IMRs may be associated with a first hypothesis, and a second IMR among one or more IMRs may be associated with a second hypothesis. In some examples, the first hypothesis may be based on both the first and second IMRs. In some such examples, the second hypothesis may be based solely on the second IMR.

[0160] In some examples, the first assumption may be associated with a first transmit beam of a third network entity (e.g., a UE, a base station), and the second assumption may be associated with a second transmit beam of the third network entity. Alternatively or additionally, the first assumption may be associated with a first receive beam of a second network entity 902-b, and the second assumption may be associated with a second receive beam of the second network entity 902-b. Alternatively or additionally, the first assumption may be associated with a third network entity, and the second assumption may be associated with a fourth network entity (e.g., a UE, a base station).

[0161] In some examples, two or more hypotheses may have a first number of hypotheses, and the set of hypotheses may have a second number of hypotheses, where the first number of hypotheses is less than the second number of hypotheses. In such examples, the second network entity 902-b may determine two or more hypotheses based on the maximum number of hypotheses associated with the report. To determine two or more hypotheses, the second network entity 902-b may select these two or more hypotheses (e.g., from the set of hypotheses). Additionally, the second network entity 902-b may generate a report based on the selection of two or more hypotheses to include corresponding CLI information for each of the two or more hypotheses. In some examples, each of the two or more hypotheses may be associated with a larger amount of interference relative to each of the hypotheses excluded from the set of hypotheses, or each of the two or more hypotheses may be associated with a smaller amount of interference relative to each of the hypotheses excluded from the set of hypotheses.

[0162] In some examples, the corresponding CLI information for each of two or more hypotheses includes the corresponding CQI, corresponding RI, corresponding PMI, corresponding RSSI, corresponding RSRP, or corresponding SINR. In some examples, the report may include CSI. In some examples, each of one or more CLI determinations may be associated with corresponding CLI information or corresponding CLI measurement for the corresponding hypothesis among two or more hypotheses. In some examples, the second network entity 902-b may generate corresponding CLI information for each of two or more hypotheses based on one or more IMRs. In some such examples, to generate the corresponding CLI information, the second network entity 902-b may measure one or more IMRs.

[0163] In some examples, the first hypothesis in this set of hypotheses is associated with a first interference measurement resource in one or more interference measurement resources and a second interference measurement resource in one or more interference measurement resources, the second hypothesis in this set of hypotheses is associated with only the first interference measurement resource, and the third hypothesis in this set of hypotheses is associated with only the second interference measurement resource.

[0164] In some examples, the first hypothesis in this set of assumptions is associated with a first interference measurement resource and a first power control backoff value in one or more interference measurement resources; the second hypothesis in this set of assumptions is associated with a first interference measurement resource and a second power control backoff value; the third hypothesis in this set of assumptions is associated with a second interference measurement resource and a first power control backoff value in one or more interference measurement resources; and the fourth hypothesis in this set of assumptions is associated with a second interference measurement resource and a second power control backoff value.

[0165] In some examples, the fifth hypothesis in this set of assumptions is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource; the sixth hypothesis in this set of assumptions is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; the seventh hypothesis in this set of assumptions is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; and the eighth hypothesis in this set of assumptions is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0166] In some examples, one or more interference measurement resources include a set of multiple interference measurement resources for each of a group of multiple network entities, wherein two or more assumptions include those related to the set of multiple interference measurement resources for each of the group of multiple network entities. The assumption associated with any of the interference measurement resources, where Each interference measurement resource is associated with interference that is higher than that of each remaining interference measurement resource in the group of multiple interference measurement resources used for each of the multiple network entities in the group, and wherein is a positive integer.

[0167] In some examples, one or more interference measurement resources include a set of multiple interference measurement resources for each of a group of multiple network entities, wherein two or more assumptions include those related to the set of multiple interference measurement resources for each of the group of multiple network entities. The assumption associated with any of the interference measurement resources, where Each interference measurement resource is associated with a lower interference than each remaining interference measurement resource in the group of multiple interference measurement resources used for each of the multiple network entities in the group, and wherein is a positive integer.

[0168] At point 920, the second network entity 902-b can send a CLI report to the first network entity 902-a.

[0169] Figure 10A block diagram 1000 of a device 1005 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. Device 1005 may be an example of various aspects of a UE 115 as described herein. Device 1005 may include a receiver 1010, a transmitter 1015, and a communication manager 1020. Device 1005, or one or more components of device 1005 (e.g., receiver 1010, transmitter 1015, and communication manager 1020), may include at least one processor that may be coupled to at least one memory to individually or jointly support or implement the described techniques. Each of these components may communicate with each other (e.g., via one or more buses).

[0170] Receiver 1010 may provide components for receiving information (such as packets, user data, control information, or any combination thereof) associated with various information channels (e.g., control channels, data channels, information channels, or control channels with multiple hypothetical cross-link interference reports). The information may be transmitted to other components of device 1005. Receiver 1010 may utilize a single antenna or a collection of antennas.

[0171] Transmitter 1015 may provide components for transmitting signals generated by other components of device 1005. For example, transmitter 1015 may transmit information associated with various information channels (e.g., control channels, data channels, information channels associated with multiple hypothetical cross-link interference reports), such as packets, user data, control information, or any combination thereof. In some examples, transmitter 1015 may be co-located with receiver 1010 in a transceiver module. Transmitter 1015 may utilize a single antenna or a collection of multiple antennas.

[0172] The communication manager 1020, receiver 1010, transmitter 1015, or various combinations thereof, or various components thereof, may be examples of components used to perform various aspects of cross-link interference reporting with multiple hypotheses as described herein. For example, the communication manager 1020, receiver 1010, transmitter 1015, or various combinations thereof, or components thereof, may be able to perform one or more of the functions described herein.

[0173] In some examples, the communication manager 1020, receiver 1010, transmitter 1015, or various combinations or components thereof may be implemented in hardware (e.g., in communication management circuitry). The hardware may include at least one of the following: a processor, digital signal processor (DSP), central processing unit (CPU), application-specific integrated circuit (ASIC), field-programmable gate array (FPGA) or other programmable logic device, microcontroller, discrete gate or transistor logic component, discrete hardware component, or any combination thereof, configured as or otherwise individually or collectively to support components for performing the functions described herein. In some examples, at least one processor and at least one memory coupled to said at least one processor may be configured to perform one or more of the functions described herein (e.g., instructions stored in at least one memory are executed individually or collectively by one or more processors).

[0174] Additionally or alternatively, the communication manager 1020, receiver 1010, transmitter 1015, or various combinations or components thereof may be implemented in code executed by at least one processor (e.g., as communication management software or firmware). If implemented in code executed by at least one processor, the functionality of the communication manager 1020, receiver 1010, transmitter 1015, or various combinations or components thereof may be performed by any combination of a general-purpose processor, DSP, CPU, ASIC, FPGA, microcontroller, or these or other programmable logic devices (e.g., configured as or otherwise individually or collectively to support components for performing the functions described in this disclosure).

[0175] In some examples, the communication manager 1020 may be configured to use or otherwise cooperate with the receiver 1010, the transmitter 1015, or both to perform various operations (e.g., receiving, acquiring, monitoring, outputting, transmitting). For example, the communication manager 1020 may receive information from the receiver 1010, transmit information to the transmitter 1015, or integrate with the receiver 1010, the transmitter 1015, or both to acquire information, output information, or perform various other operations as described herein.

[0176] The communication manager 1020 can support wireless communication performed according to examples disclosed herein. For example, the communication manager 1020 is capable of, configured to, or operable to support components for receiving first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. The communication manager 1020 is capable of, configured to, or operable to support components for sending a report to the second network entity including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0177] By including or configuring a communication manager 1020 according to an example as described herein, device 1005 (e.g., controlling receiver 1010, transmitter 1015, communication manager 1020, or a combination thereof, or at least one processor otherwise coupled to them) can support techniques for device 1005 to reduce CLI by reporting multiple hypotheses.

[0178] Figure 11 A block diagram 1100 of a device 1105 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. Device 1105 may be an example of aspects of device 1005 or UE 115 as described herein. Device 1105 may include receiver 1110, transmitter 1115, and communication manager 1120. Device 1105, or one or more components of device 1105 (e.g., receiver 1110, transmitter 1115, and communication manager 1120), may include at least one processor that may be coupled to at least one memory to support the described techniques. Each of these components may communicate with each other (e.g., via one or more buses).

[0179] Receiver 1110 may provide components for receiving information (such as packets, user data, control information, or any combination thereof) associated with various information channels (e.g., control channels, data channels, information channels, or control channels with multiple hypothetical cross-link interference reports). The information may be transmitted to other components of device 1105. Receiver 1110 may utilize a single antenna or a collection of antennas.

[0180] Transmitter 1115 may provide components for transmitting signals generated by other components of device 1105. For example, transmitter 1115 may transmit information associated with various information channels (e.g., control channels, data channels, information channels associated with multiple hypothetical cross-link interference reports), such as packets, user data, control information, or any combination thereof. In some examples, transmitter 1115 may be co-located with receiver 1110 in a transceiver module. Transmitter 1115 may utilize a single antenna or a collection of multiple antennas.

[0181] Device 1105 or its various components may be examples of various parts used to perform cross-link interference reporting with multiple hypotheses as described herein. For example, communication manager 1120 may include control information receiver 1125, report transmitter 1130, or any combination thereof. Communication manager 1120 may be an example of various aspects of communication manager 1020 as described herein. In some examples, communication manager 1120 or its various components may be configured to use or otherwise cooperate with receiver 1110, transmitter 1115, or both to perform various operations (e.g., receive, acquire, monitor, output, transmit). For example, communication manager 1120 may receive information from receiver 1110, transmit information to transmitter 1115, or be integrated in combination with receiver 1110, transmitter 1115, or both to acquire information, output information, or perform various other operations as described herein.

[0182] Communication manager 1120 can support wireless communication performed according to the examples disclosed herein. Control information receiver 1125 is capable of, configured to, or operable to support components for receiving first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Report transmitter 1130 is capable of, configured to, or operable to support components for transmitting to the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0183] Figure 12A block diagram 1200 is shown of a communication manager 1220 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure. The communication manager 1220 may be an example of a communication manager 1020, a communication manager 1120, or aspects thereof as described herein. The communication manager 1220, or its various components, may be examples of components for performing various aspects of cross-link interference reporting with multiple hypotheses as described herein. For example, the communication manager 1220 may include a control information receiver 1225, a report transmitter 1230, a CLI information generator 1235, a hypothesis determiner 1240, a measurement component 1245, a report generator 1250, or any combination thereof. Each of these components, or its components or subcomponents (e.g., one or more processors, one or more memories), may communicate directly or indirectly with each other (e.g., via one or more buses).

[0184] Communication manager 1220 can support wireless communication performed according to the examples disclosed herein. Control information receiver 1225 is capable of, configured to, or operable to support components for receiving first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Report transmitter 1230 is capable of, configured to, or operable to support components for transmitting to the second network entity a report including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0185] In some examples, two or more assumptions include a first assumption and a second assumption. In some examples, the corresponding CLI information for the first assumption includes a channel quality indicator (CQI), a rank indicator (RI), a pre-decoding matrix indicator (PMI), or a signal-to-interference-plus-noise ratio (SINR). In some examples, the first assumption is associated with the absence of CLI measurements, and the second assumption is associated with CLI measurements based on one or more interference measurement resources.

[0186] In some examples, two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value. In some examples, each of the first and second transmit power backoff values ​​is equal to or greater than zero.

[0187] In some examples, the control information receiver 1225 is capable of, configured to, or able to operate to support components for receiving second control information from a second network entity indicating a first transmit power backoff value and a second transmit power backoff value.

[0188] In some examples, at least one of the one or more interference measurement resources is associated with multiple of two or more hypotheses.

[0189] In some examples, a first interference measurement resource in one or more interference measurement resources is associated with a first hypothesis in two or more hypotheses, and a second interference measurement resource in one or more interference measurement resources is associated with a second hypothesis in two or more hypotheses.

[0190] In some examples, the first hypothesis of two or more hypotheses is based on a first interference measurement resource of one or more interference measurement resources and a second interference measurement resource of one or more interference measurement resources.

[0191] In some examples, the second hypothesis of two or more hypotheses is based on only one of the first interference measurement resource or the second interference measurement resource.

[0192] In some examples, the first hypothesis is associated with a first transmit power backoff value, and the second hypothesis is associated with a second transmit power backoff value.

[0193] In some examples, two or more assumptions include a first assumption associated with a first transmit beam of a third network entity and a second assumption associated with a second transmit beam of a third network entity.

[0194] In some examples, two or more assumptions include a first assumption associated with CLI measurements of a first receive beam of the first network entity and a second assumption associated with a second receive beam of the first network entity.

[0195] In some examples, two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

[0196] In some examples, two or more hypotheses have a first number of hypotheses, and the group of hypotheses has a second number of hypotheses. In some examples, the first number of hypotheses is less than the second number of hypotheses.

[0197] In some examples, it is assumed that the determiner 1240 is capable of, configured to, or able to operate to support components for determining two or more hypotheses based on a maximum number of hypotheses associated with the report.

[0198] In some examples, in order to support the determination of two or more hypotheses based on the maximum number of hypotheses associated with the report, the hypothesis determiner 1240 is capable of, configured to, or able to operate to support components for selecting two or more hypotheses.

[0199] In some examples, the report generator 1250 is capable of, can be configured to, or is operable to support components for generating reports based on the selection of two or more hypotheses to include corresponding CLI information for each of the two or more hypotheses.

[0200] In some examples, each of two or more hypotheses is associated with a larger amount of interference relative to each of the hypotheses excluded from the group of two or more hypotheses, or each of the two or more hypotheses is associated with a smaller amount of interference relative to each of the hypotheses excluded from the group of two or more hypotheses.

[0201] In some examples, the corresponding CLI information for each of two or more hypotheses includes the corresponding Channel Quality Indicator (CQI), the corresponding Rank Indicator (RI), the corresponding Predecoding Matrix Indicator (PMI), the corresponding Received Signal Strength Indicator (RSSI), the corresponding Reference Received Power (RSRP), or the corresponding Signal-to-Interference-plus-Noise Ratio (SINR).

[0202] In some examples, the report includes channel state information.

[0203] In some examples, the first control information is indicated in the reporting configuration.

[0204] In some examples, each CLI determination in one or more CLI determinations is associated with corresponding CLI information or corresponding CLI measurement for a corresponding hypothesis among two or more hypotheses.

[0205] In some examples, CLI information generator 1235 is capable of, configured to, or operable to support components for generating corresponding CLI information for each of two or more hypotheses based on one or more interference measurement resources.

[0206] In some examples, in order to support the generation of corresponding CLI information for each of one or more hypotheses based on one or more interference measurement resources, the measurement component 1245 is capable of, configured to, or able to operate to support components for measuring one or more interference measurement resources.

[0207] In some examples, the first hypothesis in the set of multiple hypotheses is associated with a first interference measurement resource in one or more interference measurement resources and a second interference measurement resource in one or more interference measurement resources, the second hypothesis in the set of multiple hypotheses is associated with only the first interference measurement resource, and the third hypothesis in the set of multiple hypotheses is associated with only the second interference measurement resource.

[0208] In some examples, the first hypothesis in the set of multiple hypotheses is associated with a first interference measurement resource and a first power control backoff value in one or more interference measurement resources; the second hypothesis in the set of multiple hypotheses is associated with a first interference measurement resource and a second power control backoff value; the third hypothesis in the set of multiple hypotheses is associated with a second interference measurement resource and a first power control backoff value in one or more interference measurement resources; and the fourth hypothesis in the set of multiple hypotheses is associated with a second interference measurement resource and a second power control backoff value.

[0209] In some examples, the fifth hypothesis in this set of multiple hypotheses is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource; the sixth hypothesis in this set of multiple hypotheses is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; the seventh hypothesis in this set of multiple hypotheses is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; and the eighth hypothesis in this set of multiple hypotheses is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0210] In some examples, one or more interference measurement resources include a set of multiple interference measurement resources for each of a group of network entities, wherein two or more assumptions include those related to the set of multiple interference measurement resources for each of the group of network entities. The assumption associated with any of the interference measurement resources, where Each interference measurement resource is associated with interference that is higher than that of each remaining interference measurement resource in the group of multiple interference measurement resources used for each of the multiple network entities in the group, and wherein is a positive integer.

[0211] In some examples, one or more interference measurement resources include a set of multiple interference measurement resources for each of a group of network entities, wherein two or more assumptions include those related to the set of multiple interference measurement resources for each of the group of network entities. The assumption associated with any of the interference measurement resources, where Each interference measurement resource is associated with a lower interference than each remaining interference measurement resource in the group of multiple interference measurement resources used for each of the multiple network entities in the group, and wherein is a positive integer.

[0212] Figure 13 A diagram of a system 1300 including device 1305 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. Device 1305 may be an example of device 1005, device 1105, or UE 115 as described herein, or may include components thereof. Device 1305 may communicate with one or more network entities 105, one or more UEs 115, or any combination thereof (e.g., wirelessly). Device 1305 may include components for bidirectional voice and data communication, including components for transmitting and receiving communications, such as a communication manager 1320, an input / output (I / O) controller 1310, a transceiver 1315, an antenna 1325, at least one memory 1330, code 1335, and at least one processor 1340. These components may communicate electronically or be coupled in other ways (e.g., operational ground, communication ground, functional ground, electronic ground, electrical ground) via one or more buses (e.g., bus 1345).

[0213] I / O controller 1310 manages the input and output signals of device 1305. I / O controller 1310 can also manage peripheral devices not integrated into device 1305. In some cases, I / O controller 1310 may represent a physical connection or port to an external peripheral device. In some cases, I / O controller 1310 may utilize an operating system such as iOS. ® ANDROID ® MS-DOS ® MS-WINDOWS ® OS / 2 ® UNIX ® LINUX ® Alternatively, the I / O controller 1310 may represent or interact with a modem, keyboard, mouse, touchscreen, or similar device. In some cases, the I / O controller 1310 may be implemented as part of one or more processors, such as at least one processor 1340. In some cases, a user may interact with the device 1305 via the I / O controller 1310 or via hardware components controlled by the I / O controller 1310.

[0214] In some cases, device 1305 may include a single antenna 1325. However, in other cases, device 1305 may have more than one antenna 1325, which may be capable of concurrently transmitting or receiving multiple wireless transmissions. Transceiver 1315 may communicate bidirectionally via one or more antennas 1325, wired or wireless links as described herein. For example, transceiver 1315 may represent a wireless transceiver and may communicate bidirectionally with another wireless transceiver. Transceiver 1315 may also include a modem for: modulating packets; providing the modulated packets to one or more antennas 1325 for transmission; and demodulating packets received from one or more antennas 1325. Transceiver 1315, or transceiver 1315 and one or more antennas 1325, may be an example of transmitter 1015, transmitter 1115, receiver 1010, receiver 1110, or any combination thereof or components thereof as described herein.

[0215] At least one memory 1330 may include random access memory (RAM) and read-only memory (ROM). At least one memory 1330 may store computer-readable, computer-executable code 1335, including instructions that, when executed by at least one processor 1340, cause device 1305 to perform the various functions described herein. Code 1335 may be stored in a non-transitory computer-readable medium, such as system memory or another type of memory. In some cases, code 1335 may not be directly executable by at least one processor 1340, but may enable a computer (e.g., when compiled and executed) to perform the functions described herein. In some cases, among other things, at least one memory 1330 may also contain a basic I / O system (BIOS) that controls basic hardware or software operations, such as interaction with peripheral components or devices.

[0216] At least one processor 1340 may include intelligent hardware devices (e.g., general-purpose processors, DSPs, CPUs, microcontrollers, ASICs, FPGAs, programmable logic devices, discrete gate or transistor logic components, discrete hardware components, or any combination thereof). In some cases, at least one processor 1340 may be configured to operate a memory array using a memory controller. In some other cases, the memory controller may be integrated into at least one processor 1340. At least one processor 1340 may be configured to execute computer-readable instructions stored in memory (e.g., at least one memory 1330) to cause device 1305 to perform various functions (e.g., supporting functions or tasks with multiple hypothetical cross-link interference reports). For example, device 1305 or components of device 1305 may include at least one processor 1340 and at least one memory 1330 coupled to or coupled to at least one processor 1340, wherein at least one processor 1340 and at least one memory 1330 are configured to perform the various functions described herein. In some examples, at least one processor 1340 may include multiple processors, and at least one memory 1330 may include multiple memories. One or more of a plurality of processors may be coupled to one or more of a plurality of memories, which may be configured individually or collectively to perform the various functions described herein. In some examples, at least one processor 1340 may be a component of a processing system, which may refer to a machine (such as a series of machines), circuitry (including, for example, one or both of processor circuitry (which may include at least one processor 1340) and memory circuitry (which may include at least one memory 1330)) or system of components that receive or receive input and process the input to produce, generate or obtain a set of outputs. The processing system may be configured to perform one or more of the functions described herein. Thus, at least one processor 1340 or a processing system including at least one processor 1340 may be configured, capable of being configured, or operable to cause device 1305 to perform one or more of the functions described herein. Furthermore, as described herein, “configured to,” “capable of being configured,” and “operable to” are used interchangeably and may be associated with the ability to perform one or more of the functions described herein when executing code stored in at least one memory 1330 or otherwise.

[0217] Communication manager 1320 may support wireless communication performed according to examples disclosed herein. For example, communication manager 1320 may be capable of, configured to, or operable to support components for receiving first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Communication manager 1320 may be capable of, configured to, or operable to support components for sending a report to the second network entity including corresponding CLI information for each of two or more of the multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0218] By including or configuring a communication manager 1320 according to an example as described herein, device 1305 can support techniques for reducing CLI by reporting multiple hypotheses.

[0219] In some examples, the communication manager 1320 may be configured to cooperate with transceiver 1315, one or more antennas 1325, or any combination thereof to perform various operations (e.g., receiving, monitoring, transmitting). Although the communication manager 1320 is illustrated as a separate component, in some examples, one or more functions described with reference to the communication manager 1320 may be supported or executed by at least one processor 1340, at least one memory 1330, code 1335, or any combination thereof. For example, code 1335 may include instructions executable by at least one processor 1340 to cause device 1305 to perform various aspects of cross-link interference reporting with multiple hypotheses as described herein, or at least one processor 1340 and at least one memory 1330 may be otherwise configured to perform or support such operations individually or jointly.

[0220] Figure 14 A block diagram 1400 is shown of a device 1405 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure. Device 1405 may be an example of aspects of network entity 105 as described herein. Device 1405 may include a receiver 1410, a transmitter 1415, and a communication manager 1420. Device 1405, or one or more components of device 1405 (e.g., receiver 1410, transmitter 1415, and communication manager 1420), may include at least one processor that may be coupled to at least one memory to individually or jointly support or implement the described techniques. Each of these components may communicate with each other (e.g., via one or more buses).

[0221] Receiver 1410 may provide components for acquiring (e.g., receiving, determining, identifying) information (such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units)) associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack). The information may be passed to other components of device 1405. In some examples, receiver 1410 may support acquiring information by receiving signals via one or more antennas. Additionally or alternatively, receiver 1410 may support acquiring information by receiving signals via one or more wired (e.g., electrical, fiber optic) interfaces, wireless interfaces, or any combination thereof.

[0222] Transmitter 1415 may provide components for outputting (e.g., transmitting, providing, conveying, transmitting) information generated by other components of device 1405. For example, transmitter 1415 may output information associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack), such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units). In some examples, transmitter 1415 may support outputting information by transmitting signals via one or more antennas. Additionally or alternatively, transmitter 1415 may support outputting information by transmitting signals via one or more wired (e.g., electrical, fiber optic) interfaces, wireless interfaces, or any combination thereof. In some examples, transmitter 1415 and receiver 1410 may be co-located in a transceiver, which may include or be coupled to a modem.

[0223] The communication manager 1420, receiver 1410, transmitter 1415, or various combinations thereof, or various components thereof, may be examples of components used to perform various aspects of cross-link interference reporting with multiple hypotheses as described herein. For example, the communication manager 1420, receiver 1410, transmitter 1415, or various combinations thereof, or components thereof, may be able to perform one or more of the functions described herein.

[0224] In some examples, the communication manager 1420, receiver 1410, transmitter 1415, or various combinations or components thereof may be implemented in hardware (e.g., in communication management circuitry). The hardware may include at least one of a processor, DSP, CPU, ASIC, FPGA, or other programmable logic device, microcontroller, discrete gate or transistor logic unit, discrete hardware component, or any combination thereof, configured as or otherwise individually or collectively to support components for performing the functions described herein. In some examples, at least one processor and at least one memory coupled to said at least one processor may be configured to perform one or more of the functions described herein (e.g., instructions stored in at least one memory are executed individually or collectively by one or more processors).

[0225] Additionally or alternatively, the communication manager 1420, receiver 1410, transmitter 1415, or various combinations or components thereof may be implemented in code executed by at least one processor (e.g., as communication management software or firmware). If implemented in code executed by at least one processor, the functionality of the communication manager 1420, receiver 1410, transmitter 1415, or various combinations or components thereof may be performed by any combination of a general-purpose processor, DSP, CPU, ASIC, FPGA, microcontroller, or these or other programmable logic devices (e.g., configured as or otherwise individually or collectively to support components for performing the functions described in this disclosure).

[0226] In some examples, the communication manager 1420 may be configured to use or otherwise cooperate with the receiver 1410, the transmitter 1415, or both to perform various operations (e.g., receiving, acquiring, monitoring, outputting, transmitting). For example, the communication manager 1420 may receive information from the receiver 1410, transmit information to the transmitter 1415, or integrate with the receiver 1410, the transmitter 1415, or both to acquire information, output information, or perform various other operations as described herein.

[0227] Communication manager 1420 may support wireless communication performed according to examples disclosed herein. For example, communication manager 1420 may be capable of, configured to, or operable to support components for transmitting first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Communication manager 1420 may be capable of, configured to, or operable to support components for receiving from the second network entity a report including corresponding CLI information for each of two or more hypotheses in the set of multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0228] By including or configuring a communication manager 1420 according to an example as described herein, device 1405 (e.g., controlling receiver 1410, transmitter 1415, communication manager 1420, or a combination thereof, or at least one processor otherwise coupled to them) can support techniques for device 1405 to reduce CLI by reporting multiple hypotheses.

[0229] Figure 15 A block diagram 1500 of a device 1505 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. Device 1505 may be an example of aspects of device 1405 or network entity 105 as described herein. Device 1505 may include receiver 1510, transmitter 1515, and communication manager 1520. Device 1505, or one or more components of device 1505 (e.g., receiver 1510, transmitter 1515, and communication manager 1520), may include at least one processor that may be coupled to at least one memory to support the described techniques. Each of these components may communicate with each other (e.g., via one or more buses).

[0230] Receiver 1510 may provide components for acquiring (e.g., receiving, determining, identifying) information (such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units)) associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack). The information may be passed to other components of device 1505. In some examples, receiver 1510 may support acquiring information by receiving signals via one or more antennas. Additionally or alternatively, receiver 1510 may support acquiring information by receiving signals via one or more wired (e.g., electrical, fiber optic) interfaces, wireless interfaces, or any combination thereof.

[0231] Transmitter 1515 may provide components for outputting (e.g., transmitting, providing, conveying, transmitting) information generated by other components of device 1505. For example, transmitter 1515 may output information associated with various channels (e.g., control channels, data channels, information channels, channels associated with a protocol stack), such as user data, control information, or any combination thereof (e.g., I / Q samples, symbols, packets, protocol data units, service data units). In some examples, transmitter 1515 may support outputting information by transmitting signals via one or more antennas. Additionally or alternatively, transmitter 1515 may support outputting information by transmitting signals via one or more wired (e.g., electrical, fiber optic) interfaces, wireless interfaces, or any combination thereof. In some examples, transmitter 1515 and receiver 1510 may be co-located in a transceiver, which may include or be coupled to a modem.

[0232] Device 1505 or its various components may be examples of various parts used to perform cross-link interference reporting with multiple hypotheses as described herein. For example, communication manager 1520 may include control information transmitter 1525, reporting receiver 1530, or any combination thereof. Communication manager 1520 may be examples of various aspects of communication manager 1420 as described herein. In some examples, communication manager 1520 or its various components may be configured to use or otherwise cooperate with receiver 1510, transmitter 1515, or both to perform various operations (e.g., receive, acquire, monitor, output, transmit). For example, communication manager 1520 may receive information from receiver 1510, transmit information to transmitter 1515, or be integrated in combination with receiver 1510, transmitter 1515, or both to acquire information, output information, or perform various other operations as described herein.

[0233] Communication manager 1520 can support wireless communication performed according to the examples disclosed herein. Control information transmitter 1525 is capable of, configured to, or operable to support components for transmitting first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for cross-link interference (CLI) measurement, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Report receiver 1530 is capable of, configured to, or operable to support components for receiving from the second network entity a report including corresponding CLI information for each of two or more hypotheses in the set of multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0234] Figure 16A block diagram 1600 is shown of a communication manager 1620 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure. The communication manager 1620 may be an example of aspects of the communication manager 1420, communication manager 1520, or both as described herein. The communication manager 1620, or its various components, may be examples of components for performing various aspects of cross-link interference reporting with multiple hypotheses as described herein. For example, the communication manager 1620 may include a control information transmitter 1625, a report receiver 1630, or any combination thereof. These components, or each of their components or sub-components (e.g., one or more processors, one or more memories), may communicate directly or indirectly with each other (e.g., via one or more buses), and this communication may include communication within protocol layers of a protocol stack, communication associated with logical channels of the protocol stack (e.g., between protocol layers of the protocol stack, within devices, components, or virtualization components associated with network entity 105, between devices, components, or virtualization components associated with network entity 105), or any combination thereof.

[0235] Communication manager 1620 can support wireless communication performed according to the examples disclosed herein. Control information transmitter 1625 is capable of, configured to, or operable to support components for transmitting first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for cross-link interference (CLI) measurement, and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Report receiver 1630 is capable of, configured to, or operable to support components for receiving from the second network entity a report including corresponding CLI information for each of two or more hypotheses in the set of multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0236] In some examples, two or more assumptions include a first assumption and a second assumption. In some examples, the corresponding CLI information for the first assumption includes a channel quality indicator (CQI), a rank indicator (RI), a pre-decoding matrix indicator (PMI), or a signal-to-interference-plus-noise ratio (SINR). In some examples, the first assumption is associated with the absence of CLI measurements, and the second assumption is associated with CLI measurements based on one or more interference measurement resources.

[0237] In some examples, two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value. In some examples, each of the first and second transmit power backoff values ​​is equal to or greater than zero.

[0238] In some examples, the control information transmitter 1625 is capable of, configured to, or operable to support components for sending second control information indicating a first transmit power backoff value and a second transmit power backoff value to a second network entity or a third network entity.

[0239] In some examples, at least one of the one or more interference measurement resources is associated with multiple of two or more hypotheses.

[0240] In some examples, a first interference measurement resource in one or more interference measurement resources is associated with a first hypothesis in two or more hypotheses, and a second interference measurement resource in one or more interference measurement resources is associated with a second hypothesis in two or more hypotheses.

[0241] In some examples, the first hypothesis of two or more hypotheses is based on a first interference measurement resource of one or more interference measurement resources and a second interference measurement resource of one or more interference measurement resources.

[0242] In some examples, the second hypothesis of two or more hypotheses is based on only one of the first interference measurement resource or the second interference measurement resource.

[0243] In some examples, the first hypothesis is associated with a first transmit power backoff value, and the second hypothesis is associated with a second transmit power backoff value.

[0244] In some examples, two or more assumptions include a first assumption associated with a first transmit beam of a third network entity and a second assumption associated with a second transmit beam of a third network entity.

[0245] In some examples, two or more assumptions include a first assumption associated with the first receiving beam of the second network entity and a second assumption associated with the second receiving beam of the second network entity.

[0246] In some examples, two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

[0247] In some examples, two or more hypotheses have a first number of hypotheses, and the group of hypotheses has a second number of hypotheses. In some examples, the first number of hypotheses is less than the second number of hypotheses.

[0248] In some examples, two or more hypotheses are based on the maximum number of hypotheses associated with the report.

[0249] In some examples, each of two or more hypotheses is associated with a larger amount of interference relative to each of the hypotheses excluded from the group of two or more hypotheses, or each of the two or more hypotheses is associated with a smaller amount of interference relative to each of the hypotheses excluded from the group of two or more hypotheses.

[0250] In some examples, the corresponding CLI information for each of two or more hypotheses includes the corresponding Channel Quality Indicator (CQI), the corresponding Rank Indicator (RI), the corresponding Predecoding Matrix Indicator (PMI), the corresponding Received Signal Strength Indicator (RSSI), the corresponding Reference Received Power (RSRP), or the corresponding Signal-to-Interference-plus-Noise Ratio (SINR).

[0251] In some examples, the first control information is indicated in the reporting configuration.

[0252] In some examples, each CLI determination in one or more CLI determinations is associated with corresponding CLI information or corresponding CLI measurement for a corresponding hypothesis among two or more hypotheses.

[0253] In some examples, the first hypothesis in the set of multiple hypotheses is associated with a first interference measurement resource in one or more interference measurement resources and a second interference measurement resource in one or more interference measurement resources, the second hypothesis in the set of multiple hypotheses is associated with only the first interference measurement resource, and the third hypothesis in the set of multiple hypotheses is associated with only the second interference measurement resource.

[0254] In some examples, the first hypothesis in the set of multiple hypotheses is associated with a first interference measurement resource and a first power control backoff value in one or more interference measurement resources; the second hypothesis in the set of multiple hypotheses is associated with a first interference measurement resource and a second power control backoff value; the third hypothesis in the set of multiple hypotheses is associated with a second interference measurement resource and a first power control backoff value in one or more interference measurement resources; and the fourth hypothesis in the set of multiple hypotheses is associated with a second interference measurement resource and a second power control backoff value.

[0255] In some examples, the fifth hypothesis in this set of multiple hypotheses is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource; the sixth hypothesis in this set of multiple hypotheses is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; the seventh hypothesis in this set of multiple hypotheses is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource; and the eighth hypothesis in this set of multiple hypotheses is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0256] In some examples, one or more interference measurement resources include a set of multiple interference measurement resources for each of a group of network entities, wherein two or more assumptions include those related to the set of multiple interference measurement resources for each of the group of network entities. The assumption associated with any of the interference measurement resources, where Each interference measurement resource is associated with interference that is higher than that of each remaining interference measurement resource in the group of multiple interference measurement resources used for each of the multiple network entities in the group, and wherein is a positive integer.

[0257] In some examples, one or more interference measurement resources include a set of multiple interference measurement resources for each of a group of network entities, wherein two or more assumptions include those related to the set of multiple interference measurement resources for each of the group of network entities. The assumption associated with any of the interference measurement resources, where Each interference measurement resource is associated with a lower interference than each remaining interference measurement resource in the group of multiple interference measurement resources used for each of the multiple network entities in the group, and wherein is a positive integer.

[0258] Figure 17A diagram of a system 1700 including a device 1705 supporting cross-link interference reporting with multiple hypotheses, according to one or more aspects of this disclosure, is shown. Device 1705 may be an example of device 1405, device 1505, or network entity 105 as described herein, or may include components thereof. Device 1705 may communicate with one or more network entities 105, one or more UEs 115, or any combination thereof, and such communication may include communication via one or more wired interfaces, one or more wireless interfaces, or any combination thereof. Device 1705 may include components supporting output and obtaining communication, such as a communication manager 1720, a transceiver 1710, an antenna 1715, at least one memory 1725, code 1730, and at least one processor 1735. These components may communicate electronically or otherwise (e.g., operative ground, communication ground, functional ground, electronic ground, electrical ground) via one or more buses (e.g., bus 1740).

[0259] Transceiver 1710 may support bidirectional communication via a wired link, a wireless link, or both, as described herein. In some examples, transceiver 1710 may include a wired transceiver and may communicate bidirectionally with another wired transceiver. Additionally or alternatively, in some examples, transceiver 1710 may include a wireless transceiver and may communicate bidirectionally with another wireless transceiver. In some examples, device 1705 may include one or more antennas 1715 that may be capable of transmitting or receiving wireless transmissions (e.g., concurrently). Transceiver 1710 may also include a modem for: modulating a signal; providing the modulated signal for transmission (e.g., via one or more antennas 1715, via a wired transmitter); receiving the modulated signal (e.g., from one or more antennas 1715, from a wired receiver); and demodulating the signal. In some embodiments, transceiver 1710 may include one or more interfaces, such as one or more interfaces coupled to one or more antennas 1715 configured to support various receive or acquire operations, or one or more interfaces coupled to one or more antennas 1715 configured to support various transmit or output operations, or combinations thereof. In some embodiments, transceiver 1710 may include one or more processors or one or more memory components or be configured to couple to one or more processors or one or more memory components capable of operating to perform or support operations based on received or acquired information or signals, or to generate information or other signals for transmission or other output, or any combination thereof. In some embodiments, transceiver 1710, or transceiver 1710 and one or more antennas 1715, or transceiver 1710 and one or more antennas 1715 and one or more processors or one or more memory components (e.g., at least one processor 1735, at least one memory 1725, or both), may be included in a chip or chip assembly mounted in device 1705. In some examples, transceiver 1710 may be able to operate to support communication via one or more communication links (e.g., communication link 125, backhaul communication link 120, midhaul communication link 162, and fronthaul communication link 168).

[0260] At least one memory 1725 may include RAM, ROM, or any combination thereof. At least one memory 1725 may store computer-readable, computer-executable code 1730 including instructions that, when executed by one or more of at least one processor 1735, cause device 1705 to perform the various functions described herein. Code 1730 may be stored in a non-transitory computer-readable medium, such as system memory or another type of memory. In some cases, code 1730 may not be directly executable by one of the at least one processor 1735, but may enable a computer (e.g., when compiled and executed) to perform the functions described herein. In some cases, at least one memory 1725 may also include a BIOS, among other things, that controls basic hardware or software operations, such as interaction with peripheral components or devices. In some examples, at least one processor 1735 may include multiple processors, and at least one memory 1725 may include multiple memories. One or more of the multiple processors may be coupled to one or more of the multiple memories, which may be configured individually or collectively to perform the various functions described herein (e.g., as part of a processing system).

[0261] At least one processor 1735 may include intelligent hardware devices (e.g., general-purpose processors, DSPs, ASICs, CPUs, FPGAs, microcontrollers, programmable logic devices, discrete gate or transistor logic units, discrete hardware components, or any combination thereof). In some cases, at least one processor 1735 may be configured to operate a memory array using a memory controller. In some other cases, the memory controller may be integrated into one or more of the at least one processor 1735. At least one processor 1735 may be configured to execute computer-readable instructions stored in memory (e.g., one or more of at least one memory 1725) to cause device 1705 to perform various functions (e.g., supporting functions or tasks with multiple hypothetical cross-link interference reports). For example, device 1705 or components of device 1705 may include at least one processor 1735 and at least one memory 1725 coupled to one or more of the at least one processor 1735, wherein at least one processor 1735 and at least one memory 1725 are configured to perform the various functions described herein. At least one processor 1735 may be an example of a cloud computing platform (e.g., one or more physical nodes and supporting software such as an operating system, virtual machine, or container instance) that can (e.g., by executing code 1730) host functions for performing the functions of device 1705. At least one processor 1735 may be any one or more suitable processors capable of executing scripts or instructions of one or more software programs stored in device 1705 (such as within one or more memories of at least one memory 1725). In some examples, at least one processor 1735 may include multiple processors, and at least one memory 1725 may include multiple memories. One or more of the multiple processors may be coupled to one or more of the multiple memories, which may be configured individually or collectively to perform the various functions described herein. In some examples, at least one processor 1735 may be a component of a processing system, which may refer to a system of machines (such as a series of machines), circuits (including, for example, one or both of processor circuitry (which may include at least one processor 1735) and memory circuitry (which may include at least one memory 1725)) or components that receive or acquire input and process the input to produce, generate, or acquire a set of outputs. The processing system may be configured to perform one or more of the functions described herein. Therefore, at least one processor 1735 or a processing system including at least one processor 1735 may be configured, can be configured, or can be operated to cause the device 1705 to perform one or more of the functions described herein.Furthermore, as described herein, “configured to,” “capable of being configured to,” and “capable of operating to” are used interchangeably and can be associated with the ability to perform one or more of the functions described herein when executing code stored in at least one memory 1725 or otherwise.

[0262] In some examples, bus 1740 may support communication at the protocol layer of the protocol stack (e.g., within a protocol layer). In some examples, bus 1740 may support communication associated with logical channels of the protocol stack (e.g., between protocol layers of the protocol stack), which may include communication performed within components of device 1705, or communication performed between different components of device 1705 that are co-addressable or may be located in different locations (e.g., where device 1705 may refer to a system in which one or more of communication manager 1720, transceiver 1710, at least one memory 1725, code 1730 and at least one processor 1735 may be located in one component of different components or partitioned between different components).

[0263] In some examples, the communication manager 1720 can manage (e.g., via one or more wired or wireless backhaul links) various aspects of communication with the core network 130. For example, the communication manager 1720 can manage the transfer of data communications by client devices, such as one or more UEs 115. In some examples, the communication manager 1720 can manage communication with other network entities 105 and may include a controller or scheduler for coordinating other network entities 105 to control communication with UE 115. In some examples, the communication manager 1720 may support the X2 interface within LTE / LTE-A wireless communication network technology to provide communication between network entities 105.

[0264] Communication manager 1720 may support wireless communication performed according to examples disclosed herein. For example, communication manager 1720 may be capable of, configured to, or operable to support components for transmitting first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Communication manager 1720 may be capable of, configured to, or operable to support components for receiving from the second network entity a report including corresponding CLI information for each of two or more hypotheses in the set of multiple hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating one or more interference measurement resources.

[0265] By including or configuring a communication manager 1720 according to an example as described herein, device 1705 can support techniques for reducing CLI by reporting multiple hypotheses.

[0266] In some examples, the communication manager 1720 may be configured to use or otherwise coordinate with the transceiver 1710, one or more antennas 1715 (e.g., where applicable), or any combination thereof to perform various operations (e.g., receiving, acquiring, monitoring, outputting, transmitting). Although the communication manager 1720 is illustrated as a separate component, in some examples, one or more functions described with reference to the communication manager 1720 may be supported or performed by the transceiver 1710, one or more processors in at least one processor 1735, one or more memories in at least one memory 1725, code 1730, or any combination thereof (e.g., by a processing system including at least a portion of at least one processor 1735, at least one memory 1725, code 1730, or any combination thereof). For example, code 1730 may include instructions executable by one or more processors in at least one processor 1735 to cause device 1705 to perform various aspects of cross-link interference reporting with multiple hypotheses as described herein, or at least one processor 1735 and at least one memory 1725 may be otherwise configured to perform or support such operations individually or jointly.

[0267] Figure 18 A flowchart illustrating a method 1800 for reporting cross-link interference with multiple assumptions, according to various aspects of this disclosure, is shown. Operation of method 1800 can be implemented by a UE or its components as described herein. For example, operation of method 1800 can be performed by, as referenced... Figures 1 to 13 The UE 115 described herein is used to perform this function. In some examples, the UE can execute a set of instructions to control the functional elements of the UE to perform the described function. Additionally or alternatively, the UE may use dedicated hardware to perform aspects of the described function.

[0268] At 1805, the method may include receiving first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for the one or more CLIs. Operation of block 1805 may be performed according to examples as disclosed herein. In some examples, aspects of operation of 1805 may be derived from references... Figure 12 The control information receiver 1225 described herein performs the operation.

[0269] At 1810, the method may include sending a report to a second network entity including corresponding CLI information for each of two or more of the plurality of hypotheses in the set, wherein the corresponding CLI information for each of the two or more hypotheses is based on first information indicating one or more interference measurement resources. Operation of box 1810 may be performed according to examples as disclosed herein. In some examples, aspects of operation of 1810 may be provided by reference to [reference needed]. Figure 12 The report sender 1230 described is used to perform this.

[0270] Figure 19 A flowchart illustrating a method 1900 for reporting cross-link interference with multiple assumptions, according to various aspects of this disclosure, is shown. The operation of method 1900 can be implemented by a network entity or its components as described herein. For example, the operation of method 1900 can be implemented by, as referenced... Figures 1 to 9 as well as Figures 14 to 17 The network entity described herein performs the function. In some examples, the network entity may execute a set of instructions to control the functional elements of the network entity to perform the described function. Additionally or alternatively, the network entity may use dedicated hardware to perform aspects of the described function.

[0271] In 1905, the method may include sending first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates a set of multiple hypotheses determined for one or more CLIs. Operation of block 1905 may be performed according to examples as disclosed herein. In some examples, aspects of operation of 1905 may be derived from references... Figure 16 The control information transmitter 1625 described herein is used to perform this action.

[0272] In 1910, the method may include receiving from a second network entity a report including corresponding CLI information for each of two or more of the plurality of hypotheses in the set, wherein the corresponding CLI information for each of the two or more hypotheses is based on first information indicating one or more interference measurement resources. Operation of box 1910 may be performed according to examples as disclosed herein. In some examples, aspects of operation of 1910 may be provided by reference to [reference needed]. Figure 16 The report receiver 1630 described is used to perform this.

[0273] The following provides an overview of the various aspects of this disclosure:

[0274] Aspect 1: A method for wireless communication performed by a first network entity, the method comprising: receiving from a second network entity first control information including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a plurality of hypotheses determined for the one or more CLIs; and sending to the second network entity a report including corresponding CLI information for each of two or more of the plurality of hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0275] Aspect 2: According to the method of aspect 1, wherein the two or more assumptions include a first assumption and a second assumption, the corresponding CLI information for the first assumption includes CQI, RI, PMI or SINR, the first assumption is associated with the absence of CLI measurement, and the second assumption is associated with CLI measurement based on the one or more interfering measurement resources.

[0276] Aspect 3: The method according to any one of Aspects 1 to 2, wherein the two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value, each of the first transmit power backoff value and the second transmit power backoff value being equal to or greater than zero.

[0277] Aspect 4: According to the method of aspect 3, the method further includes: receiving second control information from the second network entity indicating the first transmit power backoff value and the second transmit power backoff value.

[0278] Aspect 5: The method according to any one of aspects 1 to 4, wherein at least one of the one or more interference measurement resources is associated with multiple of the two or more assumptions.

[0279] Aspect 6: The method according to any one of aspects 1 to 5, wherein a first interference measurement resource of the one or more interference measurement resources is associated with a first hypothesis of the two or more hypotheses, and a second interference measurement resource of the one or more interference measurement resources is associated with a second hypothesis of the two or more hypotheses.

[0280] Aspect 7: The method according to any one of Aspects 1 to 6, wherein the first hypothesis of the plurality of hypotheses is associated with a first interference measurement resource of the one or more interference measurement resources and a second interference measurement resource of the one or more interference measurement resources, the second hypothesis of the plurality of hypotheses is associated only with the first interference measurement resource, and the third hypothesis of the plurality of hypotheses is associated only with the second interference measurement resource.

[0281] Aspect 8: The method according to any one of Aspects 1 to 7, wherein a first assumption of the plurality of assumptions is associated with a first interference measurement resource and a first power control backoff value in the one or more interference measurement resources, a second assumption of the plurality of assumptions is associated with the first interference measurement resource and a second power control backoff value, a third assumption of the plurality of assumptions is associated with a second interference measurement resource and the first power control backoff value in the one or more interference measurement resources, and a fourth assumption of the plurality of assumptions is associated with the second interference measurement resource and the second power control backoff value.

[0282] Aspect 9: According to the method of aspect 8, wherein the fifth assumption of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource, the sixth assumption of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource, the seventh assumption of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource, and the eighth assumption of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0283] Aspect 10: The method according to any one of Aspects 1 to 9, wherein the two or more assumptions include a first assumption associated with a first transmit beam of a third network entity and a second assumption associated with a second transmit beam of the third network entity.

[0284] Aspect 11: The method according to any one of Aspects 1 to 10, wherein the two or more assumptions include a first assumption associated with CLI measurements of a first receive beam associated with the first network entity and a second assumption associated with a second receive beam of the first network entity.

[0285] Aspect 12: The method according to any one of Aspects 1 to 11, wherein the two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

[0286] Aspect 13: The method according to any one of Aspects 1 to 12, wherein the two or more assumptions have a first number of assumptions and the plurality of assumptions have a second number of assumptions, wherein the first number of assumptions is less than the second number of assumptions.

[0287] Aspect 14: The method according to aspect 13 further includes: determining the two or more hypotheses based on a maximum number of hypotheses associated with the report.

[0288] Aspect 15: According to the method of aspect 14, determining the two or more hypotheses based on the maximum number of hypotheses associated with the report includes: selecting the two or more hypotheses.

[0289] Aspect 16: The method according to aspect 15, the method further comprising: generating the report based on selecting the two or more hypotheses to include the corresponding CLI information for each of the two or more hypotheses.

[0290] Aspect 17: The method according to any one of Aspects 1 to 16, wherein the one or more interference measurement resources include a plurality of interference measurement resources for each of the group of network entities, the two or more assumptions include an assumption associated with any one of N interference measurement resources for each of the plurality of network entities, the N interference measurement resources being associated with interference higher than each of the remaining interference measurement resources for each of the plurality of network entities, and N being a positive integer.

[0291] Aspect 18: The method according to any one of Aspects 1 to 17, wherein the one or more interference measurement resources include a plurality of interference measurement resources for each of the group of network entities, the two or more assumptions include an assumption associated with any one of N interference measurement resources for each of the plurality of network entities, the N interference measurement resources being associated with interference lower than each of the remaining interference measurement resources for each of the plurality of network entities, and N being a positive integer.

[0292] Aspect 19: The method according to any one of aspects 1 to 18, wherein the corresponding CLI information for each of the two or more assumptions includes the corresponding CQI, corresponding RI, corresponding PMI, corresponding RSSI, corresponding RSRP, or corresponding SINR.

[0293] Aspect 20: The method according to any one of Aspects 1 to 19, wherein the report includes channel state information.

[0294] Aspect 21: The method according to any one of aspects 1 to 20, wherein the first control information is indicated in the report configuration.

[0295] Aspect 22: The method according to any one of aspects 1 to 21, wherein each of the one or more CLI determinations is associated with the corresponding CLI information or corresponding CLI measurement for the corresponding hypothesis among the two or more hypotheses.

[0296] Aspect 23: The method according to any one of aspects 1 to 22, the method further comprising: generating corresponding CLI information for each of the two or more hypotheses based on the one or more interference measurement resources.

[0297] Aspect 24: According to the method of aspect 23, wherein generating the corresponding CLI information for each of the one or more hypotheses based on the one or more interference measurement resources includes: measuring the one or more interference measurement resources.

[0298] Aspect 25: A method for wireless communication performed by a first network entity, the method comprising: sending to a second network entity first control information including first information and second information, wherein the first information indicates one or more interference measurement resources for CLI measurements, and the second information indicates a plurality of hypotheses determined for the one or more CLIs; and receiving from the second network entity a report including corresponding CLI information for each of two or more of the plurality of hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

[0299] Aspect 26: According to the method of aspect 25, wherein the two or more assumptions include a first assumption and a second assumption, the corresponding CLI information for the first assumption includes CQI, RI, PMI or SINR, the first assumption is associated with the absence of CLI measurement, and the second assumption is associated with CLI measurement based on the one or more interfering measurement resources.

[0300] Aspect 27: The method according to any one of Aspects 25 to 26, wherein the two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value, each of the first transmit power backoff value and the second transmit power backoff value being equal to or greater than zero.

[0301] Aspect 28: According to the method of aspect 27, the method further includes: sending second control information to the second network entity or the third network entity, indicating the first transmit power backoff value and the second transmit power backoff value.

[0302] Aspect 29: The method according to any one of aspects 25 to 28, wherein at least one of the one or more interference measurement resources is associated with multiple of the two or more assumptions.

[0303] Aspect 30: The method according to any one of aspects 25 to 29, wherein a first interference measurement resource of the one or more interference measurement resources is associated with a first hypothesis of the two or more hypotheses, and a second interference measurement resource of the one or more interference measurement resources is associated with a second hypothesis of the two or more hypotheses.

[0304] Aspect 31: The method according to any one of aspects 25 to 30, wherein the first hypothesis of the plurality of hypotheses is associated with a first interference measurement resource of the one or more interference measurement resources and a second interference measurement resource of the one or more interference measurement resources, the second hypothesis of the plurality of hypotheses is associated only with the first interference measurement resource, and the third hypothesis of the plurality of hypotheses is associated only with the second interference measurement resource.

[0305] Aspect 32: The method according to any one of Aspects 25 to 31, wherein a first assumption of the plurality of assumptions is associated with a first interference measurement resource and a first power control backoff value in the one or more interference measurement resources, a second assumption of the plurality of assumptions is associated with the first interference measurement resource and a second power control backoff value, a third assumption of the plurality of assumptions is associated with a second interference measurement resource and the first power control backoff value in the one or more interference measurement resources, and a fourth assumption of the plurality of assumptions is associated with the second interference measurement resource and the second power control backoff value.

[0306] Aspect 33: According to the method of aspect 32, wherein the fifth of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource, the sixth of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource, the seventh of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource, and the eighth of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

[0307] Aspect 34: The method according to any one of Aspects 25 to 33, wherein the two or more assumptions include a first assumption associated with a first transmit beam of a third network entity and a second assumption associated with a second transmit beam of the third network entity.

[0308] Aspect 35: The method according to any one of Aspects 25 to 34, wherein the two or more assumptions include a first assumption associated with a first receiving beam of the second network entity and a second assumption associated with a second receiving beam of the second network entity.

[0309] Aspect 36: The method according to any one of Aspects 25 to 35, wherein the two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

[0310] Aspect 37: The method according to any one of Aspects 25 to 36, wherein the two or more assumptions have a first number of assumptions and the plurality of assumptions have a second number of assumptions, the first number of assumptions being less than the second number of assumptions.

[0311] Aspect 38: According to the method of aspect 37, wherein the two or more assumptions are based on the maximum number of assumptions associated with the report.

[0312] Aspect 39: The method according to any one of Aspects 25 to 38, wherein the one or more interference measurement resources include a plurality of interference measurement resources for each of the plurality of network entities, the two or more assumptions include an assumption associated with any one of N interference measurement resources for each of the plurality of network entities, the N interference measurement resources being associated with interference higher than each of the remaining interference measurement resources for each of the plurality of network entities, and N being a positive integer.

[0313] Aspect 40: The method according to any one of Aspects 25 to 39, wherein the one or more interference measurement resources include a plurality of interference measurement resources for each of the plurality of network entities, the two or more assumptions include an assumption associated with any one of N interference measurement resources for each of the plurality of network entities, the N interference measurement resources being associated with interference lower than each of the remaining interference measurement resources for each of the plurality of network entities, and N being a positive integer.

[0314] Aspect 41: The method according to any one of aspects 25 to 40, wherein the corresponding CLI information for each of the two or more assumptions includes the corresponding CQI, corresponding RI, corresponding PMI, corresponding RSSI, corresponding RSRP, or corresponding SINR.

[0315] Aspect 42: The method according to any one of aspects 25 to 41, wherein the first control information is indicated in the report configuration.

[0316] Aspect 43: The method according to any one of aspects 25 to 42, wherein each of the one or more CLI determinations is associated with the corresponding CLI information or corresponding CLI measurement for the corresponding hypothesis among the two or more hypotheses.

[0317] Aspect 44: A first network entity for wireless communication, the first network entity comprising at least one communication interface and at least one processor coupled to said at least one communication interface, wherein said first network entity is configured to perform a method according to any one of aspects 1 to 24.

[0318] Aspect 45: A first network entity for wireless communication, the first network entity comprising at least one component for performing the method according to any one of aspects 1 to 24.

[0319] Aspect 46: A non-transitory computer-readable medium storing code for wireless communication, said code including instructions executable by a processor to perform the method according to any one of aspects 1 to 24.

[0320] Aspect 47: A first network entity for wireless communication, the first network entity including at least one communication interface and at least one processor coupled to said at least one communication interface, wherein said first network entity is configured to perform a method according to any one of aspects 25 to 43.

[0321] Aspect 48: A first network entity for wireless communication, the first network entity comprising at least one component for performing the method according to any one of aspects 25 to 43.

[0322] Aspect 49: A non-transitory computer-readable medium storing code for wireless communication, said code including instructions executable by a processor to perform a method according to any one of aspects 25 to 43.

[0323] It should be noted that the methods described herein describe possible specific implementations, and the operations and steps can be rearranged or otherwise modified, and other specific implementations are also possible. Furthermore, aspects from two or more of these methods can be combined.

[0324] While aspects of LTE, LTE-A, LTE-A Pro, or NR systems may be described for illustrative purposes, and the terms LTE, LTE-A, LTE-A Pro, or NR may be used in most of the description, the techniques described herein are also applicable to networks other than LTE, LTE-A, LTE-A Pro, or NR networks. For example, the techniques described are applicable to a variety of other wireless communication systems, such as Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), IEEE 802.20, Flash-OFDM, and other systems and radio technologies not explicitly mentioned herein.

[0325] The information and signals described herein can be represented using any of a variety of different techniques and methods. For example, data, instructions, commands, information, signals, bits, symbols, and chips mentioned throughout the description can be represented by voltage, current, electromagnetic waves, magnetic fields or magnetic particles, light fields or optical particles, or any combination thereof.

[0326] The various exemplary blocks and components described herein can be implemented or performed using a general-purpose processor, DSP, ASIC, CPU, FPGA or other programmable logic device, discrete gate or transistor logic unit, discrete hardware component, or any combination thereof, designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in alternative embodiments, a processor may be any processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices (e.g., a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors cooperating with a DSP core, or any other such configuration). Any function or operation described herein that can be performed by a processor may be performed by multiple processors capable of performing the described functions or operations individually or jointly.

[0327] The functionality described herein can be implemented using hardware, software executed by a processor, firmware, or any combination thereof. When implemented using software executed by a processor, the functionality can be stored as one or more instructions or code on a computer-readable medium or transmitted using one or more instructions or code on a computer-readable medium. Other examples and specific implementations are within the scope of this disclosure and the appended claims. For example, due to the nature of software, the functionality described herein can be implemented using software executed by a processor, hardware, firmware, hardwiring, or any combination of these. Features implementing the functionality can also be physically located in various locations, including portions distributed such that the functionality is implemented at different physical locations.

[0328] Computer-readable media includes both non-transitory computer storage media and communication media, encompassing any medium that facilitates the transfer of a computer program from one location to another. Non-transitory storage media can be any available medium accessible by a general-purpose or special-purpose computer. By way of example, and not limitation, non-transitory computer-readable media may include RAM, ROM, electrically erasable programmable ROM (EEPROM), flash memory, compressed optical disc (CD) ROM or other optical disc storage devices, magnetic disk storage devices or other magnetic storage devices, or any other non-transitory medium that can be used to carry or store desired program code components in the form of instructions or data structures, and accessible by a general-purpose or special-purpose computer or a general-purpose or special-purpose processor. Furthermore, any connection is appropriately referred to as computer-readable media. For example, if software is transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then coaxial cable, fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, radio, and microwave are included within the definition of computer-readable media. As used herein, disks and optical discs include CDs, laser discs, optical discs, digital multifunction discs (DVDs), floppy disks, and Blu-ray discs. Disks can magnetically reproduce data, and optical discs can optically reproduce data using lasers. Combinations of the above are also included within the scope of computer-readable media. Any function or operation described herein that can be performed by memory can be performed by multiple memories capable of performing the described function or operation individually or jointly.

[0329] As used herein, the word "or" in a list of items (e.g., a list of items accompanied by phrases such as "at least one of" or "one or more of") in the claims indicates an inclusive list, such that a list of at least one of, for example, A, B, or C means A or B or C or AB or AC or BC or ABC (i.e., A and B and C). Furthermore, as used herein, the phrase "based on" should not be construed as a reference to a closed set of conditions. For example, an example step described as "based on condition A" could be based on both condition A and condition B without departing from the scope of this disclosure. In other words, as used herein, the phrase "based on" should be interpreted in the same manner as the phrase "at least partially based on".

[0330] As used herein, including in claims, the article “a” preceding a noun is open-ended and is understood to refer to “at least one” or “one or more” of those nouns. Therefore, the terms “a,” “at least one,” “one or more,” and “at least one of one or more” are interchangeable. For example, where a claim enumerates “components” performing one or more functions, each of the individual functions may be performed by a single component or by any combination of multiple components. Thus, the term “component” having a characteristic or performing a function may refer to “at least one of one or more components” having a particular characteristic or performing a particular function. Subsequent references to a component introduced with the article “a” using the terms “the” or “the” may refer to any or all of the one or more components. For example, a component introduced with the article “a” may be understood to mean “one or more components,” and subsequent reference to “the component” in a claim may be understood to be equivalent to referring to “at least one of the one or more components.” Similarly, subsequent references to a component introduced with the terms “the” or “the” as “one or more components” may refer to any or all of the one or more components. For example, reference to "the one or more components" in the subsequent claims can be understood as equivalent to reference to "at least one of the one or more components".

[0331] The term "determine" encompasses a variety of actions, and therefore, "determine" can include calculation, computation, processing, derivation, investigation, lookup (such as by searching in a table, database, or other data structure), identification, and similar actions. Furthermore, "determine" can include receiving (e.g., receiving information), accessing (e.g., accessing data stored in memory), etc. Moreover, "determine" can include parsing, obtaining, selecting, choosing, building, and other similar actions.

[0332] In the accompanying drawings, similar components or features may have the same reference numerals. Furthermore, various components of the same type can be distinguished by adding a dash after the reference numeral and a second reference numeral to differentiate them. If only the first reference numeral is used in the description, the description can be applied to any of the similar components having the same first reference numeral, regardless of the second or other subsequent reference numerals.

[0333] The description herein, illustrated with reference to the accompanying drawings, describes an example configuration and does not represent all achievable examples or those within the scope of the claims. The term "example" as used herein means "serving as an example, instance, or illustration," not "preferred" or "advantageous over other examples." The detailed description includes specific details used to provide an understanding of the described techniques. However, these techniques can be practiced without these specific details. In some cases, known structures and devices are shown in block diagram form to avoid obscuring the concept of the described examples.

[0334] The description herein is provided to enable those skilled in the art to implement or use this disclosure. Various modifications to this disclosure will be apparent to those skilled in the art, and the general principles defined herein may be applied to other variations without departing from the scope of this disclosure. Therefore, this disclosure is not limited to the examples and designs described herein, but should be granted the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A first network entity for wireless communication, the first network entity comprising: At least one communication interface; as well as At least one processor, said at least one processor being coupled to said at least one communication interface, wherein said first network entity is configured to: Receive first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates multiple hypotheses determined for one or more CLIs; as well as A report is sent to the second network entity including corresponding CLI information for each of two or more of the plurality of hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

2. The first network entity according to claim 1, wherein: The two or more assumptions include the first assumption and the second assumption. The corresponding CLI information for the first assumption includes a Channel Quality Indicator (CQI), a Rank Indicator (RI), a Pre-decoding Matrix Indicator (PMI), or a Signal-to-Interference-plus-Noise Ratio (SINR). The first hypothesis is associated with the absence of CLI measurements, and the second hypothesis is associated with CLI measurements based on the one or more interfering measurement resources.

3. The first network entity according to claim 1, wherein: The two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value, and Each of the first transmit power backoff value and the second transmit power backoff value is equal to or greater than zero.

4. The first network entity according to claim 3, wherein the first network entity is further configured to: Receive second control information from the second network entity indicating the first transmit power backoff value and the second transmit power backoff value.

5. The first network entity of claim 1, wherein at least one of the one or more interference measurement resources is associated with multiple of the two or more assumptions.

6. The first network entity of claim 1, wherein the first interference measurement resource of the one or more interference measurement resources is associated with a first hypothesis of the two or more hypotheses, and the second interference measurement resource of the one or more interference measurement resources is associated with a second hypothesis of the two or more hypotheses.

7. The first network entity of claim 1, wherein the first hypothesis of the plurality of hypotheses is associated with a first interference measurement resource and a second interference measurement resource of the one or more interference measurement resources. The second of the plurality of assumptions is associated only with the first interference measurement resource, and The third of the plurality of assumptions is associated only with the second interference measurement resource.

8. The first network entity of claim 1, wherein the first of the plurality of assumptions is associated with a first interference measurement resource and a first power control backoff value in the one or more interference measurement resources. The second of the plurality of assumptions is associated with the first interference measurement resource and the second power control backoff value. The third of the plurality of assumptions is associated with the second interference measurement resource and the first power control backoff value in the one or more interference measurement resources. The fourth of the plurality of assumptions is associated with the second interference measurement resource and the second power control backoff value. The fifth of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource. The sixth of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource. The seventh of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource, and The eighth of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

9. The first network entity of claim 1, wherein the two or more assumptions include a first assumption associated with a first transmit beam of the third network entity and a second assumption associated with a second transmit beam of the third network entity.

10. The first network entity of claim 1, wherein the two or more assumptions include a first assumption associated with a first receiving beam of the first network entity and a second assumption associated with a second receiving beam of the first network entity.

11. The first network entity of claim 1, wherein the two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

12. The first network entity of claim 1, wherein the one or more interference measurement resources comprise a plurality of interference measurement resources for each of the plurality of network entities. The two or more assumptions mentioned above include those related to the plurality of interference measurement resources for each of the plurality of network entities. The assumption associated with any of the interference measurement resources, The above Each interference measurement resource is associated with interference that is higher than each remaining interference measurement resource among the plurality of interference measurement resources used for each of the plurality of network entities, and in is a positive integer.

13. The first network entity of claim 1, wherein the one or more interference measurement resources comprise a plurality of interference measurement resources for each of the plurality of network entities. The two or more assumptions mentioned above include those related to the plurality of interference measurement resources for each of the plurality of network entities. The assumption associated with any of the interference measurement resources, The above Each interference measurement resource is associated with a lower level of interference than each remaining interference measurement resource among the plurality of interference measurement resources used for each of the plurality of network entities, and in is a positive integer.

14. The first network entity of claim 1, wherein the corresponding CLI information for each of the two or more assumptions includes a corresponding channel quality indicator (CQI), a corresponding rank indicator (RI), a corresponding pre-decoding matrix indicator (PMI), a corresponding received signal strength indicator (RSSI), a corresponding reference received power (RSRP), or a corresponding signal-to-interference-plus-noise ratio (SINR).

15. The first network entity of claim 1, wherein the report includes channel state information.

16. The first network entity of claim 1, wherein each of the one or more CLI determinations is associated with the corresponding CLI information or corresponding CLI measurement for a corresponding hypothesis among the two or more hypotheses.

17. The first network entity according to claim 1, wherein the first network entity is further configured to: Based on the one or more interference measurement resources, generate the corresponding CLI information for each of the two or more hypotheses.

18. The first network entity of claim 17, wherein in order to generate the corresponding CLI information for each of the two or more hypotheses based on the one or more interference measurement resources, the first network entity is configured to measure the one or more interference measurement resources.

19. A first network entity for wireless communication, the first network entity comprising: At least one communication interface; as well as At least one processor, said at least one processor being coupled to said at least one communication interface, wherein said first network entity is configured to: Send first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates multiple hypotheses determined for one or more CLIs; as well as Reports are received from the second network entity including corresponding CLI information for each of two or more of the plurality of hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

20. The first network entity according to claim 19, wherein: The two or more assumptions include the first assumption and the second assumption. The corresponding CLI information for the first assumption includes a Channel Quality Indicator (CQI), a Rank Indicator (RI), a Pre-decoding Matrix Indicator (PMI), or a Signal-to-Interference-plus-Noise Ratio (SINR). The first hypothesis is associated with the absence of CLI measurements, and the second hypothesis is associated with CLI measurements based on the one or more interfering measurement resources.

21. The first network entity according to claim 19, wherein: The two or more assumptions include a first assumption associated with a first transmit power backoff value and a second assumption associated with a second transmit power backoff value, and Each of the first transmit power backoff value and the second transmit power backoff value is equal to or greater than zero.

22. The first network entity according to claim 21, wherein the first network entity is further configured to: Send second control information to the second network entity or the third network entity, indicating the first transmit power back-off value and the second transmit power back-off value.

23. The first network entity of claim 19, wherein at least one of the one or more interference measurement resources is associated with multiple of the two or more assumptions.

24. The first network entity of claim 19, wherein the first interference measurement resource of the one or more interference measurement resources is associated with a first hypothesis of the two or more hypotheses, and the second interference measurement resource of the one or more interference measurement resources is associated with a second hypothesis of the two or more hypotheses.

25. The first network entity of claim 19, wherein the first of the plurality of assumptions is associated with a first interference measurement resource and a second interference measurement resource among the one or more interference measurement resources. The second of the plurality of assumptions is associated only with the first interference measurement resource, and The third of the plurality of assumptions is associated only with the second interference measurement resource.

26. The first network entity of claim 19, wherein the first of the plurality of assumptions is associated with a first interference measurement resource and a first power control backoff value in the one or more interference measurement resources. The second of the plurality of assumptions is associated with the first interference measurement resource and the second power control backoff value. The third of the plurality of assumptions is associated with the second interference measurement resource and the first power control backoff value in the one or more interference measurement resources, and The fourth of the plurality of assumptions is associated with the second interference measurement resource and the second power control backoff value. The fifth of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource. The sixth of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource. The seventh of the plurality of assumptions is associated with the first power control backoff value of the first interference measurement resource and the second power control backoff value of the second interference measurement resource, and The eighth of the plurality of assumptions is associated with the second power control backoff value of the first interference measurement resource and the first power control backoff value of the second interference measurement resource.

27. The first network entity of claim 19, wherein the two or more assumptions include a first assumption associated with a first transmit beam of the third network entity and a second assumption associated with a second transmit beam of the third network entity.

28. The first network entity of claim 19, wherein the two or more assumptions include a first assumption associated with a first receiving beam of the second network entity and a second assumption associated with a second receiving beam of the second network entity.

29. The first network entity of claim 19, wherein the two or more assumptions include a first assumption associated with a third network entity and a second assumption associated with a fourth network entity.

30. The first network entity of claim 19, wherein the one or more interference measurement resources comprise a plurality of interference measurement resources for each of the plurality of network entities. The two or more assumptions mentioned above include those related to the plurality of interference measurement resources for each of the plurality of network entities. The assumption associated with any of the interference measurement resources, The above Each interference measurement resource is associated with interference that is higher than each remaining interference measurement resource among the plurality of interference measurement resources used for each of the plurality of network entities, and in is a positive integer.

31. The first network entity of claim 19, wherein the one or more interference measurement resources comprise a plurality of interference measurement resources for each of the plurality of network entities. The two or more assumptions mentioned above include those related to the plurality of interference measurement resources for each of the plurality of network entities. The assumption associated with any of the interference measurement resources, The above Each interference measurement resource is associated with a lower level of interference than each remaining interference measurement resource among the plurality of interference measurement resources used for each of the plurality of network entities, and in is a positive integer.

32. The first network entity of claim 19, wherein the corresponding CLI information for each of the two or more assumptions includes a corresponding channel quality indicator (CQI), a corresponding rank indicator (RI), a corresponding pre-decoding matrix indicator (PMI), a corresponding received signal strength indicator (RSSI), a corresponding reference received power (RSRP), or a corresponding signal-to-interference-plus-noise ratio (SINR).

33. The first network entity of claim 19, wherein each of the one or more CLI determinations is associated with the corresponding CLI information or corresponding CLI measurement for a corresponding hypothesis among the two or more hypotheses.

34. A method for wireless communication performed by a first network entity, the method comprising: Receive first control information from a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates multiple hypotheses determined for one or more CLIs; as well as A report is sent to the second network entity including corresponding CLI information for each of two or more of the plurality of hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

35. A method for wireless communication performed by a first network entity, the method comprising: Send first control information to a second network entity, including first information and second information, wherein the first information indicates one or more interference measurement resources for measuring cross-link interference (CLI), and the second information indicates multiple hypotheses determined for one or more CLIs; as well as Reports are received from the second network entity including corresponding CLI information for each of two or more of the plurality of hypotheses, wherein the corresponding CLI information for each of the two or more hypotheses is based on the first information indicating the one or more interference measurement resources.

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