Prediction of narrow beam synchronization signal block (SSB) using wide beam SSB measurements

Abstract

Various aspects of the present disclosure generally relate to wireless communications. In some aspects, a user equipment (UE) may receive a synchronization signal block (SSB) burst, the synchronization signal block (SSB) burst including a first set of SSBs. The UE may perform measurements associated with the SSB burst. The UE may determine association information between the first set of SSBs and the second set of SSBs. The UE may determine a random access channel (RACH) configuration associated with the second set of SSBs. The UE may determine a predicted optimal SSB in the second set of SSBs and random access channel (RACH) resources associated with the predicted optimal SSB based at least in part on the measurements, the association information, and the RACH configuration. The UE may transmit a RACH message based at least in part on the predicted optimal SSB and RACH resources. Numerous other aspects are described.

Description

Technical Field

[0001] All aspects of this disclosure relate to wireless communication in general, and to techniques and apparatus for predicting narrow beam SSBs using wide beam synchronization signal block (SSB) measurements. Background Technology

[0002] Wireless communication systems are widely deployed to provide a variety of telecommunications services, such as telephone, video, data, messaging, and broadcasting. Typical wireless communication systems employ multiple access technologies that enable communication with multiple users by sharing available system resources (e.g., bandwidth, transmit power, etc.). Examples of such multiple access technologies include Code Division Multiple Access (CDMA) systems, Time Division Multiple Access (TDMA) systems, Frequency Division Multiple Access (FDMA) systems, Orthogonal Frequency Division Multiple Access (OFDMA) systems, Single Carrier Frequency Division Multiple Access (SC-FDMA) systems, Time Division Synchronous Code Division Multiple Access (TD-SCDMA) systems, and Long Term Evolution (LTE). LTE / LTE-Advanced is a set of enhancements to the Universal Mobile Telecommunications System (UMTS) mobile standard issued by the 3rd Generation Partnership Project (3GPP).

[0003] A wireless network may include one or more network nodes that support communication for wireless communication devices, such as user equipment (UE) or multiple UEs. A UE may communicate with network nodes via downlink and uplink communication. A "downlink" (or "DL") refers to the communication link from the network node to the UE, and an "uplink" (or "UL") refers to the communication link from the UE to the network node. Some wireless networks may support device-to-device communication, such as via local links (e.g., sidelinks (SL), wireless local area network (WLAN) links, and / or wireless personal area network (WPAN) links, etc.).

[0004] The aforementioned multiple access technologies have been adopted in various telecommunications standards to provide a common protocol that enables different UEs to communicate at the city, country, region, and / or global levels. New Radio (NR) (which may be referred to as 5G) is a set of enhancements to the LTE mobile standard issued by 3GPP. NR is designed to better support mobile broadband internet access by: improving spectrum efficiency; reducing costs; improving service; utilizing new spectrum; and better integrating with other open standards by using Orthogonal Frequency Division Multiplexing (OFDM) with Cyclic Prefix (CP) on the downlink (CP-OFDM), and CP-OFDM and / or Single Carrier Frequency Division Multiplexing (SC-FDM) (also known as Discrete Fourier Transform Extended OFDM (DFT-s-OFDM)) on the uplink; and supporting beamforming, Multiple-Input Multiple-Output (MIMO) antenna technologies and carrier aggregation. Further improvements to LTE, NR, and other radio access technologies remain useful as the demand for mobile broadband access continues to increase. Summary of the Invention

[0005] In some specific implementations, an apparatus for wireless communication at a user equipment (UE) includes: one or more memories and one or more processors coupled to the one or more memories, the one or more processors being individually or collectively configured to: receive a plurality of synchronization signal block (SSB) bursts, wherein one of the SSB bursts includes a first SSB set and one or more repetitions of the first SSB set; perform measurements associated with the plurality of SSB bursts; determine association information between the first SSB set and a second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted; determine a random access channel (RACH) configuration associated with the second SSB set; determine, at least in part, a predicted optimal SSB in the second SSB set and a RACH resource associated with the predicted optimal SSB based on the measurements, the association information, and the RACH configuration; and transmit RACH messages, at least in part, based on the predicted optimal SSB and the RACH resource.

[0006] In some specific implementations, a wireless communication method performed by a UE includes: receiving a plurality of SSB bursts, wherein the SSB bursts among the plurality of SSB bursts include a first SSB set and one or more repetitions of the first SSB set; performing measurements associated with the plurality of SSB bursts; determining association information between the first SSB set and a second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted; determining a random access channel (RACH) configuration associated with the second SSB set; determining a predicted optimal SSB in the second SSB set and a RACH resource associated with the predicted optimal SSB based at least in part on the measurements, the association information, and the RACH configuration; and transmitting a RACH message based at least in part on the predicted optimal SSB and the RACH resource.

[0007] In some implementations, a non-transitory computer-readable medium storing a set of instructions for wireless communication includes one or more instructions that, when executed by one or more processors of a UE, cause the UE to: receive a plurality of SSB bursts, wherein the SSB bursts of the plurality of SSB bursts include a first SSB set and one or more repetitions of the first SSB set; perform measurements associated with the plurality of SSB bursts; determine association information between the first SSB set and a second SSB set; determine, at least in part, a predicted optimal SSB in the second SSB set and a RACH resource associated with the predicted optimal SSB based on the measurements and the association information; and transmit a RACH message based at least in part on the predicted optimal SSB and the RACH resource.

[0008] In some specific embodiments, an apparatus for wireless communication includes: components for receiving a plurality of SSB bursts, wherein the SSB bursts among the plurality of SSB bursts include a first SSB set and one or more repetitions of the first SSB set; components for performing measurements associated with the plurality of SSB bursts; components for determining association information between the first SSB set and a second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted; components for determining a random access channel (RACH) configuration associated with the second SSB set; components for determining, at least in part, a predicted optimal SSB in the second SSB set and a RACH resource associated with the predicted optimal SSB based on the measurements, association information, and RACH configuration; and components for transmitting a RACH message based at least in part on the predicted optimal SSB and RACH resource.

[0009] The entirety of the terms includes methods, apparatus, systems, computer program products, non-transitory computer-readable media, user equipment, base stations, network entities, network nodes, wireless communication devices and / or processing systems as fully described herein with reference to the accompanying drawings and description and illustrated as illustrated in the drawings and description.

[0010] The features and technical advantages of the examples according to this disclosure have been summarized rather extensively above in order to better understand the detailed description below. Additional features and advantages will be described below. The disclosed concepts and specific examples can be readily used as the basis for modifying or designing other structures for achieving the same purpose as this disclosure. Such equivalent constructions do not depart from the scope of the appended claims. The characteristics of the concepts disclosed herein, in both their organization and manner of operation, and the associated advantages, will be better understood by considering the following description in conjunction with the accompanying drawings. Each of the drawings provided is for illustrative and descriptive purposes and not as a definition of limitation of the claims.

[0011] While aspects are described herein by way of example, those skilled in the art will understand that such aspects can be implemented in many different arrangements and scenarios. The techniques described herein can be implemented using different platform types, devices, systems, shapes, sizes, and / or package arrangements. For example, some aspects can be implemented via integrated chip implementations or other devices based on non-modular components (e.g., end-user equipment, vehicles, communication equipment, computing devices, industrial equipment, retail / shopping devices, medical devices, and / or artificial intelligence devices). Aspects can be implemented in chip-level components, modular components, non-modular components, non-chip-level components, device-level components, and / or system-level components. Devices incorporating the described aspects and features may include additional components and features for implementing and practicing the claimed and described aspects. For example, the transmission and reception of wireless signals may include one or more components for analog and digital purposes (e.g., hardware components including antennas, radio frequency (RF) chains, power amplifiers, modulators, buffers, processors, interleavers, adders, and / or summers). The aspects described herein are intended to be practiced in a wide variety of devices, components, systems, distributed arrangements, and / or end-user equipment of various sizes, shapes, and configurations. Attached Figure Description

[0012] To gain a full understanding of the foregoing features of this disclosure, a more specific description of the invention, briefly outlined above, can be obtained by referring to various aspects, some of which are illustrated in the accompanying drawings. However, it should be noted that the drawings illustrate only certain typical aspects of this disclosure and are therefore not to be considered as limiting its scope, as the description acknowledges other equally valid aspects. The same reference numerals in different drawings may identify the same or similar elements.

[0013] Figure 1 This is a diagram illustrating an example of a wireless network according to the present disclosure.

[0014] Figure 2 This is a diagram illustrating an example of communication between a network node and a user equipment (UE) in a wireless network according to the present disclosure.

[0015] Figure 3 This is a diagram illustrating an example decomposed base station architecture according to this disclosure.

[0016] Figure 4 This is a diagram illustrating an example of beam management according to this disclosure.

[0017] Figure 5 This is a diagram illustrating an example of a random access channel (RACH) configuration for establishing a secondary cell group (SCG) according to this disclosure.

[0018] Figure 6This is a diagram illustrating an example of beam scanning according to this disclosure.

[0019] Figures 7 to 12 This is a diagram illustrating an example of predicting a narrow beam SSB using wide beam synchronization signal block (SSB) measurements according to this disclosure.

[0020] Figure 13 This is a diagram illustrating an example process associated with predicting narrow-beam SSB using wide-beam SSB measurements according to this disclosure.

[0021] Figure 14 This is a diagram of an example device for wireless communication according to the present disclosure. Detailed Implementation

[0022] Network nodes can send multiple synchronization semaphore block (SSB) bursts, each of which can be synchronized with... M 1 A narrow beam is associated. Network nodes can send multiple SSB bursts via relatively aggressive beam scanning. User equipment (UE) can... N Execute within each SSB cycle M 1 × N The measurement can be a Layer 1 Reference Signal Received Power (L1-RSRP) SSB measurement (e.g., a filtered L1-RSRP SSB measurement). The UE can identify the appropriate receive (Rx) beam for each SSB burst in multiple SSB bursts, which can be based at least in part on the L1-RSRP SSB measurement. The UE can determine the optimal narrow beam SSB and associated random access channel (RACH) resource based at least in part on the L1-RSRP SSB measurement. The UE can use the RACH resource to transmit RACH messages based at least in part on the optimal narrow beam SSB.

[0023] However, secondary cell group (SCG) establishment can be relatively slow because the UE needs to perform a relatively large number of L1-RSRP SSB measurements. Measuring multiple SSB bursts for SCG establishment can incur power and latency costs for the UE, thus degrading UE performance.

[0024] The various aspects generally involve using wide-beam SSB measurements to predict narrow-beam SSBs for relatively fast SCG setup. Some aspects more specifically involve using SSB burst-specific beam repetition patterns and associated RACH configurations when using wide-beam SSB measurements to predict narrow-beam SSBs. In some examples, the UE may receive multiple SSB bursts from a network node. An SSB burst among the multiple SSB bursts may include a first SSB set and one or more repetitions of that first SSB set. The one or more repetitions of the first SSB set may be based at least in part on an SSB burst-specific beam repetition pattern. The UE may perform measurements associated with the multiple SSB bursts (e.g., L1-RSRP measurements). The UE may determine association information between the first SSB set and a second SSB set. The second SSB set may be associated with resources that are not actually transmitted (e.g., virtual resources). The first SSB set may be associated with wider SSB beams compared to the SSB beams associated with the second SSB set. For example, the first SSB set may be associated with wide-beam SSBs and the second SSB set may be associated with narrow-beam SSBs. The UE can determine the RACH configuration associated with a second set of SSBs. The UE can determine the predicted optimal SSB in the second set of SSBs and the RACH resources associated with that predicted optimal SSB, based at least in part on measurements, association information, and the RACH configuration. The RACH resources can be based at least in part on the RACH configuration associated with a specific beam repetition pattern of the SSB burst. The UE can send RACH messages to network nodes based at least in part on the predicted optimal SSB and RACH resources.

[0025] Specific aspects of the subject matter described in this disclosure can be implemented to achieve one or more of the following potential advantages. In some examples, the described techniques can be used to achieve relatively fast SCG setup by using wide-beam SSB measurements to predict narrow-beam SSBs. Compared to brute-force beam scanning, which involves sending multiple SSB bursts associated with narrow beams, SSB burst beam repetition patterns and associated RACH configurations can reduce both latency and the number of UE measurements (e.g., L1-RSRP SSB measurements), thereby improving the overall performance of the UE. For example, compared to brute-force beam scanning, SSB burst beam repetition patterns can reduce latency and the number of UE measurements by approximately 50%, which can improve UE performance.

[0026] Various aspects of this disclosure are described more fully below with reference to the accompanying drawings. However, this disclosure may be embodied in many different forms and should not be construed as limited to any particular structure or function presented throughout this disclosure. Rather, these aspects are provided so that this disclosure will be comprehensive and complete, and will fully convey the scope of this disclosure to those skilled in the art. Those skilled in the art will appreciate that the scope of this disclosure is intended to cover any aspect of this disclosure disclosed herein, whether implemented independently or in combination with any other aspect of this disclosure. For example, any number of aspects set forth herein may be used to implement an apparatus or method of practice. Furthermore, the scope of this disclosure is intended to cover such apparatuses or methods implemented using structures, functionalities, or structures and functionalities other than or different from the various aspects of the disclosure set forth herein. It should be understood that any aspect of the disclosure herein may be embodied by one or more elements of these claims.

[0027] Various devices and techniques will now be used to illustrate several aspects of a telecommunications system. These devices and techniques will be described in detail below and illustrated in the accompanying drawings by various blocks, modules, components, circuits, steps, processes, or algorithms (collectively, “elements”). These elements may be implemented using hardware, software, or a combination thereof. Whether these elements are implemented as hardware or software depends on the specific application and the design constraints imposed on the system as a whole.

[0028] Although terms generally associated with 5G or New Radio (NR) Radio Access Technology (RAT) may be used herein to describe aspects, aspects of this disclosure may be applied to other RATs, such as 3G RAT, 4G RAT and / or 5G and later (e.g., 6G) RATs.

[0029] Figure 1This is a diagram illustrating an example of a wireless network 100 according to the present disclosure. The wireless network 100 may be a 5G (e.g., NR) network and / or a 4G (e.g., Long Term Evolution (LTE)) network, or may include elements of a 5G (e.g., NR) network and / or elements of a 4G (e.g., LTE) network, etc. The wireless network 100 may include one or more network nodes 110 (shown as network node 110a, network node 110b, network node 110c, and network node 110d), one or more UEs 120 (shown as UE 120a, UE 120b, UE 120c, UE 120d, and UE 120e), and / or other entities. Network node 110 is a network node that communicates with UE 120. As shown, network node 110 may include one or more network nodes. For example, network node 110 may be an aggregated network node, meaning that the aggregated network node is configured to utilize a radio protocol stack that is physically or logically integrated within a single radio access network (RAN) node (e.g., within a single device or unit). As another example, network node 110 may be a decomposed network node (sometimes referred to as a decomposed base station), meaning that network node 110 is configured to utilize a protocol stack that is physically or logically distributed among two or more nodes (such as one or more central units (CUs), one or more distributed units (DUs), or one or more radio units (RUs)).

[0030] In some examples, network node 110 is a network node (such as RU) that communicates with UE 120 via a radio access link, or includes network nodes (such as RU) that communicate with the UE via a radio access link. In some examples, network node 110 is a network node (such as DU) that communicates with other network nodes 110 via a fronthaul link or a midhaul link, or includes network nodes (such as DU) that communicate with other network nodes 110 via a fronthaul link or a midhaul link. In some examples, network node 110 is a network node (such as CU) that communicates with other network nodes 110 via a midhaul link or with the core network via a backhaul link, or includes network nodes (such as CU) that communicate with other network nodes 110 via a midhaul link or with the core network via a backhaul link. In some examples, network node 110 (such as aggregated network node 110 or decomposed network node 110) may include multiple network nodes, such as one or more RUs, one or more CUs, and / or one or more DUs. Network node 110 may include, for example, NR base stations, LTE base stations, Node Bs, eNBs (e.g., in 4G), gNBs (e.g., in 5G), access points, Transmit / Receive Points (TRPs), DUs, RUs, CUs, network mobility elements, core network nodes, network elements, network equipment, RAN nodes, or combinations thereof. In some examples, network nodes 110 may interconnect with each other or with one or more other network nodes 110 in the wireless network 100 using any suitable transport network through various types of fronthaul interfaces, midhaul interfaces, and / or backhaul interfaces (such as direct physical connections, air interfaces, or virtual networks).

[0031] In some examples, network node 110 may provide communication coverage for a specific geographic area. In the 3rd Generation Partnership Project (3GPP), depending on the context in which the term is used, the term "cell" may refer to the coverage area of ​​network node 110 and / or the network node subsystem serving that coverage area. Network node 110 may provide communication coverage for macrocells, picocells, femtocells, and / or another type of cell. A macrocell may cover a relatively large geographic area (e.g., a radius of several kilometers) and may allow unrestricted access by UE 120 with a service subscription. A picocell may cover a relatively small geographic area and may allow unrestricted access by UE 120 with a service subscription. A femtocell may cover a relatively small geographic area (e.g., a home) and may allow restricted access by UE 120 associated with the femtocell (e.g., UE 120 in a Closed Subscriber Group (CSG)). Network node 110 used for macrocells may be referred to as a macro network node. Network node 110 used for picocells may be referred to as a pico network node. The network node 110 used for femtocells can be referred to as a femtocell network node or a home network node. Figure 1 In the example shown, network node 110a may be a macro network node for macro cell 102a, network node 110b may be a pico network node for pico cell 102b, and network node 110c may be a femto network node for femto cell 102c. Network nodes may support one or more (e.g., three) cells. In some examples, the cells may not necessarily be stationary, and the geographical area of ​​the cells may move depending on the location of the mobile network node 110 (e.g., a mobile network node).

[0032] In some aspects, the term "base station" or "network node" may refer to an aggregated base station, a decomposed base station, an integrated access and backhaul (IAB) node, a relay node, or one or more components thereof. For example, in some aspects, "base station" or "network node" may refer to a CU, DU, RU, a near real-time (near RT) RAN intelligent controller (RIC), or a non-real-time (non-RT) RIC, or a combination thereof. In some aspects, the term "base station" or "network node" may refer to a device configured to perform one or more functions (such as those described herein in conjunction with network node 110). In some aspects, the term "base station" or "network node" may refer to multiple devices configured to perform one or more functions. For example, in some distributed systems, each of multiple different devices (which may be located in the same geographical location or different geographical locations) may be configured to perform at least a portion of a function, or to repeatedly perform at least a portion of that function, and the term "base station" or "network node" may refer to any one or more of these different devices. In some aspects, the term "base station" or "network node" may refer to one or more virtual base stations or one or more virtual base station functions. For example, in some aspects, two or more base station functions can be instantiated on a single device. In some aspects, the term "base station" or "network node" may refer to one base station function rather than another. In this way, a single device can include more than one base station.

[0033] Wireless network 100 may include one or more relay stations. A relay station is a network node that can receive data transmissions from upstream nodes (e.g., network node 110 or UE 120) and transmit data to downstream nodes (e.g., UE 120 or network node 110). A relay station may be a UE 120 that can relay transmissions to other UE 120s. Figure 1 In the example shown, network node 110d (e.g., a relay network node) can communicate with network node 110a (e.g., a macro network node) and UE 120d to facilitate communication between network node 110a and UE 120d. The network node 110 for relay communication may be referred to as a relay station, relay base station, relay network node, relay node, relay, etc.

[0034] The wireless network 100 can be a heterogeneous network, comprising different types of network nodes 110, such as macro network nodes, pico network nodes, femto network nodes, relay network nodes, etc. These different types of network nodes 110 may have different transmit power levels, different coverage areas, and / or different effects on interference in the wireless network 100. For example, macro network nodes may have high transmit power levels (e.g., 5 watts to 40 watts), while pico network nodes, femto network nodes, and relay network nodes may have lower transmit power levels (e.g., 0.1 watts to 2 watts).

[0035] Network controller 130 may be coupled to or communicate with a group of network nodes 110, and may provide coordination and control for these network nodes 110. Network controller 130 may communicate with network nodes 110 via a backhaul or midhaul link. Network nodes 110 may also communicate directly with each other, or indirectly via a wireless or wired backhaul link. In some aspects, network controller 130 may be a CU or core network device, or may include a CU or core network device.

[0036] UE 120 may be distributed throughout the wireless network 100, and each UE 120 may be stationary or mobile. UE 120 may include, for example, access terminals, terminals, mobile stations, and / or subscriber units. UE 120 may be a cellular phone (e.g., a smartphone), a personal digital assistant (PDA), a wireless modem, a wireless communication device, a handheld device, a laptop computer, a cordless phone, a wireless local loop (WLL) station, a tablet computer, a camera, a gaming device, a netbook, a smartbook, an ultrabook, a medical device, a biometric device, a wearable device (e.g., a smartwatch, smart clothing, smart glasses, a smart wristband, smart jewelry (e.g., a smart ring or smart bracelet)), an entertainment device (e.g., a music device, a video device, and / or a satellite radio), a vehicle component or sensor, a smart meter / sensor, industrial manufacturing equipment, a GPS device, a UE function of a network node, and / or any other suitable device configured to communicate via wireless or wired media.

[0037] Some UEs 120 may be considered machine-type communication (MTC) or evolved or enhanced machine-type communication (eMTC) UEs. MTC UEs and / or eMTC UEs may include, for example, robots, unmanned aerial vehicles, remote devices, sensors, instruments, monitors, and / or location tags that can communicate with network nodes, another device (e.g., a remote device), or some other entity. Some UEs 120 may be considered Internet of Things (IoT) devices and / or may be implemented as NB-IoT (Narrowband IoT) devices. Some UEs 120 may be considered customer premises equipment. UEs 120 may be included within a housing that houses the components of the UE 120, such as processor components and / or memory components. In some examples, the processor components and memory components may be coupled together. For example, the processor components (e.g., one or more processors) and memory components (e.g., memory) may be operatively coupled, communicatively coupled, electronically coupled, and / or electrically coupled.

[0038] Generally, any number of wireless networks 100 can be deployed in a given geographical area. Each wireless network 100 can support a specific RAT and can operate on one or more frequencies. A RAT may be referred to as a radio technology, air interface, etc. A frequency may be referred to as a carrier, frequency channel, etc. Each frequency in a given geographical area can support a single RAT to avoid interference between wireless networks using different RATs. In some cases, NR or 5G RAT networks can be deployed.

[0039] In some examples, two or more UEs 120 (e.g., shown as UE 120a and UE 120e) may communicate directly using one or more sidelink channels (e.g., without using network node 110 as an intermediary device to communicate with each other). For example, UE 120 may communicate using peer-to-peer (P2P) communication, device-to-device (D2D) communication, vehicle-to-everything (V2X) protocols (e.g., which may include vehicle-to-vehicle (V2V) protocols, vehicle-to-infrastructure (V2I) protocols, or vehicle-to-pedestrian (V2P) protocols) and / or mesh networks. In such examples, UE 120 may perform scheduling operations, resource selection operations, and / or other operations described elsewhere herein as being performed by network node 110.

[0040] Devices in Wireless Network 100 can communicate using the electromagnetic spectrum, which can be subdivided into various categories, bands, channels, etc., based on frequency or wavelength. For example, devices in Wireless Network 100 can communicate using one or more operating frequency bands. In 5G NR, two initial operating frequency bands have been designated as frequency ranges FR1 (410MHz to 7.125GHz) and FR2 (24.25GHz to 52.6GHz). It should be understood that although a portion of FR1 is greater than 6GHz, FR1 is generally (interchangeably) referred to as the “sub-6GHz” band in various documents and articles. Similar naming issues sometimes occur with FR2, which is generally (interchangeably) referred to as the “millimeter wave” band in documents and articles, although this is different from the Extremely High Frequency (EHF) band (30GHz–300GHz) designated as a “millimeter wave” band by the International Telecommunication Union (ITU).

[0041] The frequencies between FR1 and FR2 are generally referred to as intermediate frequency (IF) bands. Recent 5G NR studies have designated the operating bands for these IF bands as the frequency range designation FR3 (7.125 GHz – 24.25 GHz). Bands falling within FR3 can inherit FR1 and / or FR2 characteristics, thus effectively extending the features of FR1 and / or FR2 to IF band frequencies. Furthermore, higher frequency bands are currently being explored to extend 5G NR operation beyond 52.6 GHz. For example, three higher operating bands have been designated as the frequency range designations FR4a or FR4-1 (52.6 GHz to 71 GHz), FR4 (52.6 GHz to 114.25 GHz), and FR5 (114.25 GHz to 300 GHz). Each of these higher frequency bands falls within the EHF band.

[0042] Considering the examples above, unless otherwise specifically stated, it should be understood that if the term "below 6 GHz" is used herein, it can broadly refer to frequencies below 6 GHz, within FR1, or including intermediate frequency bands. Furthermore, unless otherwise specifically stated, it should be understood that if the term "millimeter wave" is used herein, it can broadly refer to frequencies that can include intermediate frequency bands, within FR2, FR4, FR4-a, or FR4-1 and / or FR5, or within the EHF band. Modifications to frequencies included in these operating frequency bands (e.g., FR1, FR2, FR3, FR4, FR4-a, FR4-1, and / or FR5) are contemplated, and the techniques described herein are applicable to those modified frequency ranges.

[0043] In some aspects, the UE (e.g., UE 120) may include a communication manager 140. As described in more detail elsewhere herein, the communication manager 140 may receive a plurality of SSB bursts, wherein one of the plurality of SSB bursts includes a first SSB set and one or more repetitions of the first SSB set; perform measurements associated with the plurality of SSB bursts; determine association information between the first SSB set and a second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted; determine a random access channel (RACH) configuration associated with the second SSB set; determine, at least in part, the predicted optimal SSB in the second SSB set and the RACH resource associated with the predicted optimal SSB, based on the measurements, the association information, and the RACH configuration; and transmit RACH messages, at least in part, based on the predicted optimal SSB and the RACH resource. Additionally or alternatively, the communication manager 140 may perform one or more other operations described herein.

[0044] As indicated above, Figure 1 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 1 The examples described are different.

[0045] Figure 2 This is a diagram illustrating an example 200 of communication between a network node 110 and a UE 120 in a wireless network 100 according to the present disclosure. The network node 110 may be equipped with a set of antennas 234a to 234t, such as... T One antenna ( T ≥1). The UE 120 may be equipped with a set of antennas 252a to 252r, such as R One antenna ( R ≥1). Network node 110 of Example 200 includes one or more radio frequency components, such as antenna 234 and modem 232. In some examples, network node 110 may include an interface, communication components, or another component that facilitates communication with UE 120 or another network node. Some network node 110 may not include radio frequency components that facilitate direct communication with UE 120, such as one or more CUs or one or more DUs.

[0046] At network node 110, transmitting processor 220 can receive data from data source 212 intended for use by UE 120 (or a group of UEs 120). Transmitting processor 220 can select one or more modulation and decoding schemes (MCS) for UE 120 based at least in part on one or more channel quality indicators (CQIs) received from UE 120. Network node 110 can process (e.g., encode and modulate) the data for UE 120 based at least in part on the MCS selected for UE 120 and can provide data symbols for UE 120. Transmitting processor 220 can process system information (e.g., for semi-static resource partitioning information (SRPI)) and control information (e.g., CQI requests, grants, and / or upper-layer signaling) and provide overhead symbols and control symbols. Transmitting processor 220 can generate reference symbols for reference signals (e.g., cell-specific reference signals (CRS) or demodulation reference signals (DMRS)) and synchronization signals (e.g., primary synchronization signal (PSS) or secondary synchronization signal (SSS)). Transmit (Tx) Multiple-Input Multiple-Output (MIMO) processor 230 may perform spatial processing (e.g., pre-decoding) on ​​data symbols, control symbols, overhead symbols, and / or reference symbols where applicable, and may transmit a set of output symbol streams (e.g., T Each output symbol stream is provided to a corresponding set of modems 232 (e.g., ...). TEach modem 232a to 232t can be used to process a corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. For example, each output symbol stream can be provided to a modulator component (MOD) of modem 232. Each modem 232 can use a corresponding modulator component to process the corresponding output symbol stream (e.g., for OFDM) to obtain an output sample stream. Each modem 232 can also use a corresponding modulator component to process the output sample stream (e.g., convert to analog, amplify, filter, and / or up-convert) to obtain a downlink signal. Modems 232a to 232t can be connected via a corresponding set of antennas 234 (e.g., T Each antenna (shown as antennas 234a to 234t) is used to transmit a set of downlink signals (e.g., ...). T (One downlink signal).

[0047] At UE 120, a set of antennas 252 (shown as antennas 252a to 252r) can receive downlink signals from network node 110 and / or other network nodes 110 and can transmit a set of received signals (e.g., R The received signals are provided to a group of modems 254 (e.g., R Each modem 254 (shown as modems 254a to 254r) may receive a signal. For example, each received signal may be provided to a demodulator component (shown as DEMOD) of modem 254. Each modem 254 may use a corresponding demodulator component to condition (e.g., filter, amplify, down-convert, and / or digitize) the received signal to obtain an input sample. Each modem 254 may use a demodulator component to further process the input sample (e.g., for OFDM) to obtain a received symbol. MIMO detector 256 may obtain the received symbols from modem 254, perform MIMO detection on the received symbols where applicable, and provide the detected symbols. Receiver processor 258 may process (e.g., demodulate and decode) the detected symbols, provide the decoded data for UE 120 to data sink 260, and provide the decoded control information and system information to controller / processor 280. The term "controller / processor" may refer to one or more controllers, one or more processors, or a combination thereof. The channel processor can determine parameters such as the Reference Signal Received Power (RSRP), Received Signal Strength Indicator (RSSI), Reference Signal Received Quality (RSRQ), and / or CQI. In some examples, one or more components of the UE 120 may be included in the housing 284.

[0048] Network controller 130 may include communication unit 294, controller / processor 290, and memory 292. Network controller 130 may include one or more devices, for example, in a core network. Network controller 130 may communicate with network node 110 via communication unit 294.

[0049] One or more antennas (e.g., antennas 234a to 234t and / or antennas 252a to 252r) may include one or more antenna panels, one or more antenna groups, one or more sets of antenna elements and / or one or more antenna arrays, etc., or may be included within one or more antenna panels, one or more antenna groups, one or more sets of antenna elements and / or one or more antenna arrays, etc. Antenna panels, antenna groups, sets of antenna elements and / or antenna arrays may include one or more antenna elements (within a single housing or multiple housings), a set of coplanar antenna elements, a set of non-coplanar antenna elements and / or be coupled to one or more transmitting and / or receiving components (such as...). Figure 2 One or more antenna elements (one or more components in a )

[0050] On the uplink, at UE 120, the transmit processor 264 can receive and process data from data source 262 and control information from controller / processor 280 (e.g., for reporting including RSRP, RSSI, RSRQ, and / or CQI). The transmit processor 264 can generate reference symbols for one or more reference signals. The symbols from the transmit processor 264 can be pre-decoded by the Tx MIMO processor 266 where applicable, further processed by the modem 254 (e.g., for DFT-s-OFDM or CP-OFDM), and transmitted to network node 110. In some examples, the modem 254 of UE 120 may include a modulator and demodulator. In some examples, UE 120 includes a transceiver. The transceiver may include any combination of antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, and / or Tx MIMO processor 266. The transceiver may be used by a processor (e.g., controller / processor 280) and memory 282 to execute this document (e.g., reference). Figures 7 to 14 ( ) any aspect of the methods described in the method.

[0051] At network node 110, uplink signals from UE 120 and / or other UEs may be received by antenna 234, processed by modem 232 (e.g., demodulator component of modem 232 (shown as DEMOD)), detected by MIMO detector 236 (where applicable), and further processed by receive processor 238 to obtain decoded data and control information transmitted by UE 120. Receive processor 238 may provide the decoded data to data sink 239 and the decoded control information to controller / processor 240. Network node 110 may include communication unit 244 and may communicate with network controller 130 via communication unit 244. Network node 110 may include scheduler 246 to schedule one or more UEs 120 for downlink and / or uplink communication. In some examples, modem 232 of network node 110 may include modulator and demodulator. In some examples, network node 110 includes transceiver. The transceiver may include any combination of antenna 234, modem 232, MIMO detector 236, receive processor 238, transmit processor 220, and / or Tx MIMO processor 230. The transceiver may be used by a processor (e.g., controller / processor 240) and memory 242 to execute this document (e.g., reference). Figures 7 to 14 ( ) any aspect of the methods described in the method.

[0052] The controller / processor 240 of network node 110, the controller / processor 280 of UE 120 and / or Figure 2 Any other component in the system may perform one or more techniques associated with using wide-beam SSB measurements to predict narrow-beam SSBs, as described in more detail elsewhere in this document. For example, the controller / processor 240 of network node 110, the controller / processor 280 of UE 120, and / or Figure 2 Any other component that can execute or direct, for example Figure 13 The operation of process 1300 and / or other processes as described herein. Memory 242 and memory 282 may store data and program code for network node 110 and UE 120, respectively. In some examples, memory 242 and / or memory 282 may include a non-transitory computer-readable medium storing one or more instructions (e.g., code and / or program code) for wireless communication. For example, one or more instructions may cause the one or more processors, UE 120 and / or network node 110 to perform or direct, for example, when executed by one or more processors of network node 110 and / or UE 120 (e.g., directly executed, or executed after compilation, transformation and / or interpretation). Figure 13The operation of process 1300 and / or other processes as described herein. In some examples, the execution instructions may include run instructions, transform instructions, compile instructions and / or interpret instructions, etc.

[0053] In some aspects, the UE (e.g., UE 120) includes components for receiving multiple SSB bursts, wherein the SSB bursts among the multiple SSB bursts include a first SSB set and one or more repetitions of the first SSB set; components for performing measurements associated with the multiple SSB bursts; components for determining association information between the first SSB set and a second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted; components for determining a random access channel (RACH) configuration associated with the second SSB set; components for determining, at least in part, the predicted optimal SSB in the second SSB set and the RACH resource associated with the predicted optimal SSB based on the measurements, association information, and RACH configuration; and / or components for transmitting RACH messages based at least in part on the predicted optimal SSB and RACH resources. Components used by the UE to perform the operations described herein may include one or more of the following: communication manager 140, antenna 252, modem 254, MIMO detector 256, receive processor 258, transmit processor 264, TX MIMO processor 266, controller / processor 280, or memory 282.

[0054] In some respects, a single processor can perform all the functions described as being performed by that one or more processors. In other respects, the one or more processors can jointly perform a set of functions. For example, a first group(s) of the one or more processors can perform a first function described as being performed by that one or more processors, and a second group(s) of the one or more processors can perform a second function described as being performed by that one or more processors. The first group and the second group of processors can be the same group of processors or can be different groups of processors. The reference to "one or more processors" should be understood as referring to a combination of functions. Figure 2 Any one or more processors described. The reference to "one or more memories" should be understood to refer to any one or more memories of the corresponding device, such as those in conjunction with... Figure 2 The memory described. For example, a function described as being performed by one or more memories can be performed by the same subset of the one or more memories or by different subsets of the one or more memories.

[0055] Although Figure 2The boxes in the diagram are illustrated as different components, but the functions described above with respect to these boxes may be implemented in a single hardware, software, or combined component, or in various combinations of components. For example, the functions described for transmit processor 264, receive processor 258, and / or Tx MIMO processor 266 may be performed by or under the control of controller / processor 280.

[0056] As indicated above, Figure 2 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 2 The examples described are different.

[0057] The deployment of communication systems such as 5G NR systems can be arranged in a variety of ways using various components or parts. In a 5G NR system or network, network nodes, network entities, network mobility elements, RAN nodes, core network nodes, network elements, base stations, or network equipment can be implemented in either a converged or decomposed architecture. For example, a base station (such as a Node B (NB), evolved NB (eNB), NR base station, 5G NB, access point (AP), TRP, or cell, etc.) or one or more units (or components) performing base station functionality can be implemented as a converged base station (also known as a standalone base station or monolithic base station) or a decomposed base station. A "network entity" or "network node" can refer to a decomposed base station or one or more units of a decomposed base station (such as one or more CUs, one or more DUs, one or more RUs, or combinations thereof).

[0058] Aggregated base stations (e.g., aggregated network nodes) can be configured to utilize a radio protocol stack that is physically or logically integrated within a single RAN node (e.g., within a single device or cell). Decomposed base stations (e.g., decomposed network nodes) can be configured to utilize a protocol stack that is physically or logically distributed across two or more cells (such as one or more CUs, one or more DUs, or one or more RUs). In some examples, the CU may be implemented within a network node, and one or more DUs may be co-located with the CU, or alternatively, may be geographically or virtually distributed across one or more other network nodes. DUs may be implemented to communicate with one or more RUs. Each of the CU, DU, and RU can also be implemented as a virtual cell, such as a Virtual Central Unit (VCU), a Virtual Distributed Unit (VDU), or a Virtual Radio Unit (VRU), etc.

[0059] Base station type operation or network design can take into account the aggregation characteristics of base station functionality. For example, decomposed base stations can be utilized in IAB networks, Open Radio Access Networks (O-RAN (such as network configurations initiated by the O-RAN Alliance)), or Virtualized Radio Access Networks (vRAN, also known as Cloud Radio Access Networks (C-RAN)) to facilitate the scaling of communication systems by separating base station functionality into one or more units that can be deployed independently. Decomposed base stations can include functionality implemented across two or more units at various physical locations, as well as functionality virtually implemented for at least one unit, which enables flexibility in network design. Each unit of a decomposed base station can be configured for wired or wireless communication with at least one other unit of the decomposed base station.

[0060] Figure 3 This is an illustration of an example disaggregated base station architecture 300 according to the present disclosure. The disaggregated base station architecture 300 may include a CU 310, which may communicate directly with the core network 320 via a backhaul link, or indirectly with the core network 320 via one or more disaggregated control units (such as near-RT RIC 325 via an E2 link, or a non-RT RIC 315 associated with a Service Management and Orchestration (SMO) framework 305, or both). The CU 310 may communicate with one or more DUs 330 via a corresponding midhaul link (such as via an F1 interface). Each DU 330 may communicate with one or more RUs 340 via a corresponding fronthaul link. Each RU 340 may communicate with one or more UEs 120 via a corresponding radio frequency (RF) access link. In some implementations, a UE 120 may be served simultaneously by multiple RUs 340.

[0061] Each unit in the cells (including CU 310, DU 330, RU 340), as well as the near-RT RIC 325, non-RT RIC 315, and SMO frame 305, may include or be coupled to one or more interfaces configured to receive or transmit signals, data, or information (collectively, signals) via wired or wireless transmission media. Each unit in the cell, or an associated processor or controller providing instructions to one or more communication interfaces of the corresponding unit, may be configured to communicate with one or more units in other cells via transmission media. In some examples, each unit in the cell may include a wired interface and a wireless interface configured to receive signals or transmit signals to one or more units in other cells via a wired transmission media, and the wireless interface may include a receiver, transmitter, or transceiver (such as an RF transceiver) configured to receive signals or transmit signals to one or more units in other cells via a wireless transmission media, or both.

[0062] In some aspects, the CU 310 can host one or more higher-level control functions. Such control functions may include Radio Resource Control (RRC) functions, Packet Data Convergence Protocol (PDCP) functions, or Service Data Adaptation Protocol (SDAP) functions, etc. Each control function can be implemented using an interface configured to signal to other control functions hosted by the CU 310. The CU 310 can be configured to handle user plane functions (e.g., Central Unit-User Plane (CU-UP) functions), control plane functions (e.g., Central Unit-Control Plane (CU-CP) functions), or combinations thereof. In some implementations, the CU 310 can be logically divided into one or more CU-UP units and one or more CU-CP units. When implemented in an O-RAN configuration, the CU-UP units can communicate bidirectionally with the CU-CP units via an interface such as an E1 interface. The CU 310 can be implemented to communicate with the DU 330 for network control and signaling purposes, as needed.

[0063] Each DU 330 may correspond to a logical unit comprising one or more base station functions for controlling the operation of one or more RU 340s. In some aspects, the DU 330 may host one or more of the Radio Link Control (RLC) layer, Medium Access Control (MAC) layer, and one or more high physical (PHY) layers, at least in part, according to functional splits (such as those defined by 3GPP). In some aspects, the one or more high PHY layers may be implemented by one or more modules for forward error correction (FEC) encoding and decoding, scrambling, and modulation and demodulation, etc. In some aspects, the DU 330 may also host one or more low PHY layers, such as those implemented by one or more modules for Fast Fourier Transform (FFT), Inverse FFT (iFFT), Digital Beamforming, or Physical Random Access Channel (PRACH) extraction and filtering, etc. Each layer (which may also be referred to as a module) may be implemented using an interface configured to communicate signals with other layers (and modules) hosted by the DU 330 or with control functions hosted by the CU 310.

[0064] Each RU 340 can implement lower-layer functionality. In some deployments, an RU 340 controlled by a DU 330 can correspond to a logical node that hosts RF processing functions or low-PHY layer functions, such as performing FFT, performing iFFT, digital beamforming, or PRACH extraction and filtering, based on function splitting (e.g., function splitting defined by 3GPP) (such as lower-layer function splitting). In such architectures, each RU 340 can be operated to handle over-the-air (OTA) communications with one or more UEs 120. In some specific implementations, the real-time and non-real-time aspects of control plane and user plane communications with the RU 340 can be controlled by the corresponding DU 330. In some scenarios, this configuration allows each DU 330 and CU 310 to be implemented in a cloud-based RAN architecture, such as a vRAN architecture.

[0065] The SMO framework 305 can be configured to support RAN deployment and provisioning of both non-virtualized and virtualized network elements. For non-virtualized network elements, the SMO framework 305 can be configured to support the deployment of dedicated physical resources for RAN coverage requirements, which can be managed via operation and maintenance interfaces such as the O1 interface. For virtualized network elements, the SMO framework 305 can be configured to interact with cloud computing platforms such as the Open Cloud (O-Cloud) platform 390 to perform network element lifecycle management (such as instantiating virtualized network elements) via cloud computing platform interfaces such as the O2 interface. Such virtualized network elements may include, but are not limited to, CU 310, DU 330, RU 340, non-RT RIC 315, and near-RTTRIC 325. In some specific implementations, the SMO framework 305 may communicate with the hardware aspects of the 4G RAN, such as the Open eNB (O-eNB) 311, via the O1 interface. Additionally, in some implementations, the SMO framework 305 can communicate directly with each of one or more RUs 340 via a corresponding O1 interface. The SMO framework 305 may also include a non-RT RIC 315 configured to support the functionality of the SMO framework 305.

[0066] The non-RT RIC 315 can be configured to include logical functions enabling non-real-time control and optimization of RAN elements and resources, including AI / ML workflows for model training and updates, or policy-based guidance for applications / features in the near-RT RIC 325. The non-RT RIC 315 can be coupled to or communicate with the near-RT RIC 325, such as via an A1 interface. The near-RT RIC 325 can be configured to include logical functions enabling near real-time control and optimization of RAN elements and resources via an interface, such as an E2 interface, connecting one or more CU 310s, one or more DU 330s, or both, and O-eNBs to the near-RT RIC 325.

[0067] In some implementations, to generate AI / ML models to be deployed in the near-RT RIC 325, the non-RT RIC 315 may receive parameters or external enrichment information from an external server. This information can be utilized by the near-RT RIC 325 and can be received from non-network data sources or network functions at the SMO framework 305 or the non-RT RIC 315. In some examples, the non-RT RIC 315 or near-RT RIC 325 may be configured to tune RAN behavior or performance. For example, the non-RT RIC 315 may monitor long-term trends and patterns in performance and employ AI / ML models to perform corrective actions via the SMO framework 305 (such as reconfiguration via the O1 interface) or via the creation of RAN management policies (such as A1 interface policies).

[0068] As indicated above, Figure 3 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 3 The examples described are different.

[0069] Figure 4 This is a diagram illustrating example 400 of beam management according to this disclosure.

[0070] As shown by reference numeral 402, the UE can initially be in an RRC idle state or an RRC inactive state. As shown by reference numeral 404, the UE can perform initial access. As shown by reference numeral 406, the UE can perform beam management after entering the RRC connected state. Beam management can include P1, P2, and / or P3 beam management procedures. The P1 beam management procedure can be a beam selection procedure, an initial beam acquisition procedure, a beam scanning procedure, a cell search procedure, and / or a beam search procedure. The P2 beam management procedure can be a beam refinement procedure, a network node beam refinement procedure, a TRP beam refinement procedure, and / or a Tx beam refinement procedure. The P3 beam management procedure can be a beam refinement procedure, a UE beam refinement procedure, and / or an Rx beam refinement procedure. As shown by reference numeral 408, the UE can also perform beam management using AI / ML-based methods. Beam management using AI / ML-based methods can utilize AI / ML models in the spatial (SD), temporal (TD), and / or frequency (FD) domains, which can reduce signaling overhead and latency and improve beam selection accuracy. AI / ML models can be associated with lifecycle management, which may involve model training, model deployment, model inference, model monitoring, and / or model updates. As shown by reference numeral 410, the UE can perform beam failure detection (BFD), which may be based at least in part on measurements obtained during beam management after entering RRC connected mode. As shown by reference numeral 412, the UE can perform beam failure recovery (BFR) based at least in part on BFD. As shown by reference numeral 414, when BFR fails, the UE can declare a radio link failure (RLF).

[0071] As indicated above, Figure 4 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 4 The examples described are different.

[0072] For AI / ML-based beam management, a first beam management scenario and a second beam management scenario can be supported for characterization and baseline performance evaluation. The first beam management scenario may involve SD downlink beam prediction for a first beam set (set A) based at least in part on measurements of a second beam set (set B). The second beam management scenario may involve temporal downlink beam prediction for a first beam set based at least in part on historical measurements of the second beam set. For both the first and second beam management scenarios, the beams in the first and second beam sets can be within the same frequency range.

[0073] In the first beam management scenario, in the first alternative, the second beam set may be a subset of the first beam set. In the first alternative, the first and second beam sets may each be associated with a defined number of beams. The second beam set may be determined based at least in part on a fixed or random pattern of beams in the first beam set. In the second alternative, the first beam set may differ from the second beam set (e.g., the first beam set may include narrow beams, and the second beam set may include wide beams). In the second alternative, the first and second beam sets may each be associated with a defined number of beams. A quasi-co-location (QCL) relationship may be defined between the beams in the first and second beam sets. Additionally, the first beam set can be used for downlink beam prediction, and the second beam set can be used for downlink beam measurement.

[0074] For the first beam management scenario and utilizing the UE-side AI / ML model, Layer 1 (L1) signaling can be used to report information associated with the AI / ML model inference to network nodes. This information may indicate one or more beams (e.g., the reported beams) based at least in part on the output of the AI / ML model inference. This information may also indicate the predicted L1-RSRP measurement corresponding to one or more beams.

[0075] For second-beam management scenarios and utilizing UE-side AI / ML models, L1 signaling can be used to report information associated with AI / ML model inferences to network nodes. This information can indicate... N One or more beams for an upcoming time instance, wherein the one or more beams may be at least partially based on the output inferred from an AI / ML model. Defineable N The value of . This information can indicate the predicted L1-RSRP measurement corresponding to one or more beams. This information can indicate the timestamp corresponding to one or more beams, wherein the timestamp can be indicated explicitly or implicitly.

[0076] For both first and second beam management scenarios utilizing UE-side AI / ML models, model monitoring can be employed. For UE-side model monitoring, the UE can monitor performance metrics. The UE can make decisions regarding model selection, activation, deactivation, switching, or rollback operations based at least partially on these performance metrics. For network-side model monitoring, network nodes can monitor performance metrics. Network nodes can make decisions regarding model selection, activation, deactivation, switching, or rollback operations based at least partially on these performance metrics. In hybrid model monitoring, the UE can monitor performance metrics, and network nodes can make decisions regarding model selection, activation, deactivation, switching, or rollback operations based at least partially on these performance metrics.

[0077] For both first and second beam management scenarios utilizing network-side AI / ML models, network-side model monitoring can be employed. Network nodes can monitor performance metrics, and can make decisions regarding model selection, activation, deactivation, switching, or rollback operations based at least partially on these performance metrics. For both first and second beam management scenarios utilizing network-side AI / ML models, beam measurements and reporting for model monitoring can be used. For both first and second beam management scenarios utilizing network-side AI / ML models, the UE can report measurement results for more than four beams in a single reporting instance, based at least partially on L1 beam reports used for AI / ML model inference.

[0078] When configuring SCG for a UE, the serving cell configures common ( ServingCellConfigCommon Information Elements (IEs) can be used to provide dedicated signaling. The serving cell's public IE configuration may contain its own RACH configuration, such as the public RACH configuration. RACH-ConfigCommon The RACH configuration public provides information for the initial access procedure.

[0079] As an example, the UE may have an RRC configuration at least partially based on the serving cell #0 in FR1. The UE may also have the serving cell #1 additionally configured in FR2 via the serving cell configuration common IE. The UE may measure the SSB in serving cell #1. The UE may perform the RACH procedure at least partially based on a RACH configuration common for contention-based random access (CBRA) or a RACH configuration common for contention-free random access (CFRA) that may be configured in serving cell #1. The UE may obtain a relatively large number of SSB measurements during the beam management P1 procedure in FR2.

[0080] Figure 5 This is a diagram illustrating example 500 of a RACH configuration for establishing an SCG according to this disclosure.

[0081] like Figure 5 As shown, the cell group configuration ( CellGroupConfig This may include special cell configurations ( spCellConfig ) and auxiliary community add or modify list ( sCellToAddModList Special cell configurations may include RACH configurations that can be associated with CFRA (…). RACH-ConfigDedicated IE. RACH configuration uses a dedicated IE that can be reconfigured with synchronization. ReconfigurationWithSync The secondary cell addition or modification list may include one or more secondary cell configurations. sCellConfig The secondary cell configurations in one or more secondary cell configurations may include the serving cell configuration common (…). ServingCellConfigCommon IE. Serving cell configuration of public IE may include uplink configuration of public ( UplinkConfigCommon )IE. Uplink configuration common can be used with the initial uplink bandwidth portion (BWP) ( initialUplinkBWP The IE is associated with the BWP uplink and can be shared with the BWP uplink. BWP-UplinkCommon The IE is associated with the initial uplink BWP IE, which can be configured with the RACH ( RACH-ConfigCommon It is associated with IE, which can be associated with CBRA.

[0082] As indicated above, Figure 5 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 5 The examples described are different.

[0083] The Remaining Minimum System Information (RMSI) or Serving Cell Configuration Common IE used for initial access can indicate the burst SSB location, which can identify the TD location of the actually transmitted SSB. ssb-PositionInBurst IE. An 8-bit or 16-bit bitmap can be used to indicate the TD location of the actually transmitted SSB. In other words, the SSB location IE in the burst within the public IE configured in the RMSI or serving cell identifies the actually transmitted SSB. For cases below 6 GHz where the number of SSBs is up to 8, a full bitmap (e.g., 8 bits) can be used to indicate the actual SSB transmission. For cases above 6 GHz where the number of SSBs is up to 64, a group bitmap (e.g., 8 bits) and an intra-group bitmap (e.g., 8 bits) can be used. A group can be defined as consecutive SSBs. The intra-group bitmap indicates which SSB is actually transmitted within the group, where each group can have the same SSB transmission pattern. The group bitmap indicates which group is actually transmitted.

[0084] Figure 6 This is an illustration of example 600 of beam scanning according to this disclosure.

[0085] like Figure 6 As shown, a network node can send multiple SSB bursts, where each SSB burst can be connected to... M 1 A narrow beam is associated. Network nodes can send multiple SSB bursts via relatively aggressive beam scanning. UE can... N Execute within each SSB cycle M 1 × N Each measurement (e.g., a filtered L1-RSRP SSB measurement). The UE can identify the appropriate Rx beam for each SSB burst in multiple SSB bursts (e.g., Rx#1 for the first SSB burst, Rx#2 for the second SSB burst, and Rx#3 for the third SSB burst). N SSB Emergency Identifier Rx# NThis can be based at least in part on L1-RSRP SSB measurements. The UE can determine the optimal narrow beam SSB and associated RACH resources based at least in part on the L1-RSRP SSB measurements. The UE can use the RACH resources to send RACH messages based at least in part on the optimal narrow beam SSB.

[0086] However, SCG setup can be relatively slow because the UE needs to perform a relatively large number of L1-RSRP SSB measurements. Measuring multiple SSB bursts in FR2 for SCG setup can incur power and latency costs for the UE, thus degrading UE performance.

[0087] As indicated above, Figure 6 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 6 The examples described are different.

[0088] In various aspects of the technologies and apparatus described herein, the UE can receive multiple SSB bursts from a network node. An SSB burst among the multiple SSB bursts may include a first SSB set and one or more repetitions of that first SSB set. The UE can perform measurements associated with the multiple SSB bursts (e.g., L1-RSRP measurements). The UE can determine association information between the first SSB set and a second SSB set. The second SSB set may be associated with resources that are not actually transmitted (e.g., virtual resources). For example, the second SSB set may not actually be transmitted by the network node. SSBs in the second SSB set may not be transmitted. In other words, not only are SSBs associated with virtual / untransmitted resources, but the SSBs themselves may not be transmitted. The first SSB set may be associated with a wider SSB beam compared to the SSB beams associated with the second SSB set. For example, the first SSB set may be associated with wide-beam SSBs and the second SSB set may be associated with narrow-beam SSBs. The UE can determine the RACH configuration associated with the second SSB set. The UE can determine the predicted optimal SSB in the second SSB set and the RACH resource associated with the predicted optimal SSB based at least in part on measurement, association information, and RACH configuration. The UE can send RACH messages to network nodes based at least in part on the predicted optimal SSB and RACH resources.

[0089] In some respects, wide-beam SSB measurements can be used to predict narrow-beam SSBs for relatively fast SCG setup (e.g., as...). Figure 8(As shown). The wide beam may be set B beams (e.g., measurement resources), while the narrow beam may be set A beams (e.g., prediction targets). The wide beam may be associated with a first SSB set (e.g., set B SSBs), and the narrow beam may be associated with a second SSB set (e.g., set A SSBs). The association between the wide and narrow beams may be configured by RRC. SSBs transmitted in a single SSB burst may be based at least in part on repetitive Tx beams, which reduces the delay in UE Rx beam determination. The UE may measure the wide beam SSBs (e.g., the first SSB set) received from the network node. The UE may use AI / ML to predict the optimal narrow beam SSB and associated RACH resources, which may be based at least in part on the measured wide beam SSBs and the association between the wide and narrow beams. The UE may use RACH resources and at least in part on the predicted optimal narrow beam SSB to transmit RACH messages to the network node. Relatively fast SCG setup can be achieved by predicting narrow-beam SSBs from wide-beam SSB measurements. SSB burst beam repetition mode and associated RACH configuration can be implemented to achieve relatively fast SCG setup. Compared to brute-force beam scanning involving the transmission of multiple SSB bursts associated with narrow beams, SSB burst beam repetition mode and associated RACH configuration reduce both latency and the number of UE measurements, thereby improving the overall performance of the UE.

[0090] Figure 7 This is a diagram illustrating example 700 related to predicting narrow-beam SSB using wide-beam SSB measurements according to this disclosure. Figure 7 As shown, Example 700 includes communication between a UE (e.g., UE 120) and a network node (e.g., network node 110). In some aspects, the UE and the network node may be included in a wireless network (such as wireless network 100).

[0091] As shown by reference numeral 702 in the attached figure, the UE can receive multiple SSB bursts from a network node. Each SSB burst (e.g., each SSB burst) may include a first SSB set and one or more repetitions of that first SSB set. The first SSB set may be associated with a wide-beam SSB. The first SSB set may be associated with an SSB transmitted for the serving cell (e.g., an actual SSB transmitted for the serving cell). The first SSB set may be identified via the RMSI or the SSB position IE in the serving cell configuration common IE associated with the serving cell. In some cases, an SSB burst may include a third SSB set, which may also be associated with a wide-beam SSB. The third SSB set may include one or more repetitions of the first SSB set (e.g., in SD).

[0092] In some aspects, specific beam repetition pattern configurations for SSB bursts can be defined. Regarding a specific serving cell ( ServCell The actual SSBs transmitted can be defined as the first set of SSBs for that serving cell (e.g., such as...). Figure 9 As shown), the actual transmitted SSB can be identified via the SSB location IE in the burst from the RMSI or the serving cell configuration public IE associated with the serving cell (e.g., a candidate serving cell). The actual transmitted SSB can be associated with a wide beam.

[0093] As shown by reference numeral 704 in the attached figure, the UE can perform measurements associated with multiple SSB bursts. For example, the UE can perform L1-RSRP measurements associated with multiple SSB bursts. Since the third SSB set includes one or more repetitions of the first SSB set in the SD (e.g., SSBs transmitted in a single SSB burst may be at least partially based on repetitive transmission beams), the UE can perform measurements with lower latency. Furthermore, the UE can perform fewer measurements because the number of wide-beam measurements can be less than the number of narrow-beam measurements.

[0094] As shown by reference numeral 706 in the attached figure, the UE can determine the association information between the first SSB set and the second SSB set. The second SSB set can be associated with resources that are not actually transmitted (e.g., virtual resources). Compared to the SSB beams associated with the second SSB set, the first SSB set can be associated with wider SSB beams. For example, the second SSB set can be associated with narrow-beam SSBs. The second SSB set can also be associated with virtual and untransmitted SSBs (e.g., virtual and not actually transmitted SSBs). The UE can determine the association information based on the RMSI, the serving cell configuration common IE, or the serving cell configuration associated with the serving cell (…). ServingCellConfig The IE (Interventional Information) determines the relationship between the SSB (Special Purpose Sub-Session) locations in a burst. The relationship information indicates the relationship between the first SSB set and the second SSB set in terms of beam pointing direction, beamwidth, or other implicit relationships.

[0095] In some respects, the UE may identify association information describing the relationship between the first SSB set and the second SSB set via RMSI, serving cell configuration common IE, or serving cell configuration associated with the serving cell (e.g., such as...). Figure 9 (As shown). The first SSB set can be set B SSB. The second SSB set can be set A SSB. The second SSB set can be associated with virtual and not actually transmitted SSBs. The second SSB set can be associated with narrow beams. The correlation information between the first SSB set and the second SSB set can be correlation information in terms of beam pointing direction, beamwidth and / or other implicit correlations (e.g., linear combination or beam adjacency).

[0096] As shown by reference numeral 708 in the attached figure, the UE can determine the RACH configuration associated with the second SSB set. The UE can determine the RACH configuration based on the RMSI, the serving cell configuration common IE, or the SSB position IE in the burst of the serving cell configuration associated with the serving cell. The RACH configuration can indicate the RACH resources associated with the second SSB set. The RACH resources can indicate the RACH timing (RO) and preamble associated with the second SSB set. In some aspects, the UE can determine the SSB pattern for each SSB burst based on the RMSI, the serving cell configuration common IE, or the SSB position IE in the burst of the serving cell configuration associated with the serving cell. The SSB pattern for each SSB burst can indicate the TD position of the third SSB set associated with the SSB burst. The third SSB set can be associated with one or more repetitions of the first SSB set.

[0097] In some aspects, the UE may identify the RACH resource configuration for a second SSB set (e.g., set A beam / SSB) via the RMSI, the serving cell configuration common IE, or the serving cell configuration associated with the serving cell. The RACH resource configuration may indicate the RO and / or preamble associated with the second SSB set. In some aspects, the UE may identify the SSB repetition pattern per SSB burst via the RMSI, the serving cell configuration common IE, or the serving cell configuration associated with the candidate serving cell. The SSB repetition pattern per SSB burst may indicate a third SSB set within the same SSB burst as the first SSB set (e.g., such as...). Figure 9 The TD position (as shown). The third SSB set may differ from any SSB in the first SSB set in terms of TD position or SSB index. For an SSB in the second SSB set, the Tx spatial filter used for that SSB may be the same as at least one SSB in the first SSB set. The number of different SSBs in the first SSB set may be less than the maximum number of SSBs per SSB burst, which enables SSB burst-specific beam repetition patterns.

[0098] In some respects, the third SSB set may differ from the first SSB set in terms of TD location or SSB index. The number of SSBs associated with the first SSB set may be less than the maximum number of SSBs per SSB burst. The third SSB set may be associated with the same spatial domain as the first SSB set. The TD location associated with the third SSB set may be individually identified via RMSI, serving cell configuration common IE, or serving cell configuration associated with that serving cell.

[0099] In some aspects, the control resource set (CORESET) identified from the SSBs in the third SSB set (e.g., CORESET#0) may be the same as the CORESET identified from the SSBs in the first SSB set. This allows for UE backward compatibility and can be implemented at least in part based on network node specificity. Both SSBs may include the same spatial Tx filter, at least in part based on the SSB repetition pattern per SSB burst. The RACH configuration for the first SSB set may not address any other SSB in the second SSB set. In some aspects, the association information between the first and second SSB sets, the RACH resource configuration, and / or the SSB repetition pattern per SSB burst may be identified at least in part based on the serving cell configuration. The serving cell configuration may be UE-specific rather than cell-common. Additional payloads associated with this information may not be irrelevant, and the ability to predict spatial beams can be UE-specific.

[0100] In some aspects, the association between the RO, preamble, and second SSB set can be predefined. In some aspects, orthogonal ROs can be configured in TD and FD between the first and second SSB sets, at least in part, based on the inability to simultaneously receive SSB beams of both the first and second SSB sets. In some aspects, non-orthogonal ROs can be configured in TD and FD between the first and second SSB sets, at least in part, based on the capability to simultaneously receive SSB beams of both the first and second SSB sets.

[0101] In some aspects, for RACH resource configuration regarding a second SSB set (e.g., set A beam / SSB), a signaling framework for the RO and preamble associated with the second SSB set (e.g., virtual and not actually transmitted SSBs) can be defined. The standard can predefine the association between the RO / preamble and the second SSB set, similar to those defined for actually transmitted SSBs (e.g., the first SSB set). Depending on the specific implementation by the network node, when beams in the first and second SSB sets cannot be received simultaneously, the network node can configure orthogonal ROs between the first and second SSB sets (e.g., in TD / FD) (e.g., as...). Figure 10 (As shown). Depending on the specific network implementation, when beams in the first SSB set and the second SSB set can be received simultaneously, the network node can configure a non-orthogonal RO between the first SSB set and the second SSB set (e.g., in TD / FD) (e.g., as shown). Figure 10 (As shown). Preambles can be distinguished between the first SSB set and the second SSB set.

[0102] In some aspects, transmit space filter associations can be configured between SSBs in the first SSB set and SSBs in the third SSB set. In some aspects, SSBs in the third SSB set can be configured with SSB indices associated with SSBs in the first SSB set, and such associated SSBs can be associated with the same transmit space filter. In some aspects, the number of SSBs in the third SSB set can correspond to the number of SSBs in the first SSB set. The determination of SSBs in the third SSB set that have the same transmit space filter as SSBs in the first SSB set can be based at least in part on standard predefined rules.

[0103] In some respects, the SSB repetition pattern of each SSB burst can identify the TD position of a third SSB set within the SSB burst. For example, an alternative SSB position IE in a burst, different from the SSB position IE in a burst associated with the first SSB set, can be configured. As another example, an enhanced SSB position IE in a burst can be configured, which may include an enhanced bit depth. The number of SSBs in the first SSB set can be determined by... X This indicates that the maximum number of SSBs per SSB burst can be determined by... Y It means that among them Y - X The bit can be used by the enhanced burst SSB location IE to identify the TD location of the third SSB set.

[0104] In some respects, Tx spatial filter correlations can be configured between SSBs in the first and third SSB sets. The first option, compared to the second option, can be associated with greater flexibility but higher indication overhead (e.g., as...). Figure 11 As shown, each SSB in the third SSB set, identified at least in part based on the corresponding TD location, can be configured with an SSB index associated with an SSB in the first SSB set, such that two related SSBs can be associated with the same Tx spatial filter. As an example, for the first SSB set... X In the first SSB and the third SSB set Z The total number of bits required for this indication can be one SSB. As another example, different SSBs in the first SSB set may have different repetition counts in the third SSB set. A second option (e.g., such as...) can be associated with less flexibility but lower indication overhead compared to the first option. Figure 12As shown, the standard predefined rule requires that the number of SSBs in the third SSB set must be an integer multiple of the number of SSBs in the first SSB set. The UE can determine, at least in part, which SSB in the first SSB set includes the same Tx spatial filter as an SSB in the third SSB set based on standard predefined rules. For example, SSBs in the first and third SSB sets can be reindexed based on their TD positions. The number of SSBs in the third SSB set can be the same as the number of SSBs in the first SSB set. N times (of which) N (It is a positive integer). In this case, the third SSB set is the first... SSB may include the first SSB set. The same spatial Tx filter as SSB (where is a positive integer, And the first SSB set includes (SSB).

[0105] As shown by reference numeral 710 in the accompanying figure, the UE can determine the predicted optimal SSB in a second set of SSBs and the RACH resources associated with that predicted optimal SSB based at least in part on measurements (e.g., wide-beam measurements, which may be performed at least in part on the SSB repetition pattern for each burst), association information, and RACH configuration. For example, the UE can provide association information and measurements as input to an AI / ML model that can run on the UE. The UE can use the AI / ML model to determine the predicted optimal SSB (e.g., the predicted optimal narrow-beam SSB) and the associated RACH resources. The predicted optimal SSB can be associated with a second set of SSBs. The AI / ML model can be trained at least in part on the association information to output the predicted optimal narrow-beam SSB based at least in part on the measurements associated with the wide-beam SSB.

[0106] As shown by reference numeral 712 in the attached figure, the UE may send RACH messages to network nodes based at least in part on the predicted optimal SSB and RACH resources. RACH messages may be associated with SCG establishment. SCG establishment may be associated with relatively low latency and relatively few UE measurements, which may be based at least in part on association information, RACH resource configuration, and / or the SSB repetition pattern for each burst.

[0107] As indicated above, Figure 7 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 7 The examples described are different.

[0108] Figure 8 This is an illustration of Example 800, which is associated with predicting a narrow beam SSB using wide beam SSB measurements according to this disclosure.

[0109] like Figure 8 As shown, a network node can send multiple SSB bursts, where each SSB burst can be associated with a burst that has two repetitions. M 1 / 2 wide beams are associated. Two repetitions are possible in SD. For example, the first SSB burst can be associated with a beam that has two repetitions. M 1 / 2 wide beams are associated, and the second SSB burst can be associated with two repeating beams. M 1 Two wide beams are associated, and so on. The UE can... N Execute within 2 SSB cycles M 1 / 2× N Each measurement (e.g., a filtered L1-RSRP SSB measurement). The UE can identify the appropriate Rx beam for each SSB burst in multiple SSB bursts (e.g., Rx#1 and Rx#2 for the first SSB burst, Rx#3 and Rx#4 for the second SSB burst, and Rx#4 for the last SSB burst). N -1) and Rx# N This can be based at least in part on L1-RSRP SSB measurements. The UE can use a pre-configured association between wide and narrow beams, L1-RSRP SSB measurements, and AI / ML at the UE to predict the optimal narrow beam SSB and associated RACH resources. For example, the pre-configured association between wide and narrow beams and L1-RSRP SSB measurements can be input to an AI / ML model running on the UE, which outputs the predicted optimal narrow beam SSB and associated RACH resources. The UE can then use the RACH resources to send RACH messages based at least in part on this predicted narrow beam SSB. In some respects, employing SSB burst-specific beam repetition patterns (e.g., two repetitions per SSB burst, and SSB bursts that include only the wide beam and not the narrow beam) can reduce latency and UE measurements by approximately 50%, which can improve the overall performance of the UE.

[0110] As indicated above, Figure 8 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 8 The examples described are different.

[0111] Figure 9 This is an illustration of Example 900, which is associated with predicting a narrow beam SSB using wide beam SSB measurements according to this disclosure.

[0112] In some aspects, a RACH configuration for relatively fast SCG establishment via SD beam prediction can be adopted. Network nodes can transmit a first set of SSBs. The first set of SSBs can be wide-beam SSBs. The first set of SSBs can be the actually transmitted SSBs, wherein the TD location associated with the actually transmitted SSBs can be identified via a burst-time SSB location IE configured from the RMSI or the serving cell's common IE.

[0113] As shown by reference numeral 902, the UE can determine the association information between a first SSB set (e.g., set B, wide-beam SSBs) and a second SSB set (e.g., set A, narrow-beam SSBs). The second SSB set can be narrow-beam SSBs. The second SSB set can be virtual and not actually transmitted SSBs. As shown by reference numeral 904, the UE can determine a RACH configuration that can be used for the second SSB set (e.g., a second virtual and not actually transmitted SSB set). The RACH configuration can indicate the RO and / or preamble that can be defined in terms of frequency and time associated with the second SSB set. As shown by reference numeral 906, the UE can determine the SSB repetition pattern for each SSB burst, which can indicate the TD position of the third SSB set together with the repeating SSBs in the first SSB set. The first SSB set and the third SSB set can be associated with the same SSB burst. The third SSB set can be wide-beam SSBs. The third SSB set can be a spatial repetition of the first SSB set, whose TD location can be individually identified via RMSI, serving cell configuration common IE, or serving cell configuration.

[0114] In some aspects, the UE can use association information, RACH configuration, and SSB repetition patterns per SSB burst to predict the optimal second SSB set (e.g., the optimal narrow-beam SSB) for relatively rapid SCG setup. For example, the UE can capture measurements associated with the first and third SSB sets. The UE can provide the association information and the captured measurements to an AI / ML model, which can output the optimal narrow-beam SSB. The UE can use the RACH configuration to determine the RACH resources associated with the optimal narrow-beam SSB.

[0115] As indicated above, Figure 9 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 9 The examples described are different.

[0116] Figure 10 This is an illustration of Example 1000, which is associated with predicting a narrow beam SSB using wide beam SSB measurements according to this disclosure.

[0117] As shown by reference numeral 1002 in the attached figure, the ROs configured for the first and second SSB sets can be non-orthogonal in TD / FD, which is suitable for network nodes capable of digital Rx beamforming. When the beams in the first and second SSB sets can be received simultaneously, non-orthogonal ROs in TD / FD can be configured between the first and second SSB sets.

[0118] As shown by reference numeral 1004 in the attached figure, the ROs configured for the first and second SSB sets can be orthogonal in TD / FD, which is suitable for network nodes that cannot perform digital Rx beamforming. When the beams in the first and second SSB sets cannot be received simultaneously, orthogonal ROs in TD / FD can be configured between the first and second SSB sets.

[0119] As indicated above, Figure 10 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 10 The examples described are different.

[0120] Figure 11 This is an illustration of Example 1100, which is associated with predicting a narrow beam SSB using wide beam SSB measurements according to this disclosure.

[0121] like Figure 11 As shown, the first SSB set (e.g., wide-beam SSBs) may include actually transmitted SSBs, whose TD positions can be identified via burst SSB position IEs from the RMSI or the serving cell configuration common IE. The third SSB set (e.g., wide-beam SSBs) may include spatial repetitions of the first SSB set, whose TD positions are individually identified via the RMSI, the serving cell configuration common IE, or the serving cell configuration. Each SSB in the third SSB set may be configured with an SSB index associated with an SSB in the first SSB set, such that two associated SSBs can be associated with the same Tx spatial filter. Different SSBs in the first SSB set may have different numbers of repetitions in the third SSB set. For example, the first SSB set may include 8 SSBs, while the third SSB set may include 10 SSBs, possibly due to multiple repetitions in the third SSB set. The SSBs in the third SSB set may be associated with the repetitive SSBs in the first SSB set and the payload size (e.g., number of bits). The total configuration payload size (e.g., bits) can be calculated depending on the payload size of each SSB in the third SSB set. This approach can be associated with greater flexibility but higher configuration overhead and is more suitable for SSB repetition patterns per SSB burst identified by the serving cell configuration configured specifically for the UE.

[0122] As indicated above, Figure 11 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 11 The examples described are different.

[0123] Figure 12 This is an illustration of Example 1200, which is associated with predicting a narrow beam SSB using wide beam SSB measurements according to this disclosure.

[0124] like Figure 12 As shown, the first SSB set (e.g., wide-beam SSBs) may include actually transmitted SSBs, whose TD locations can be identified via the burst SSB location IE from the RMSI or the serving cell configuration common IE. The third SSB set (e.g., wide-beam SSBs) may include spatial repetitions of the first SSB set, whose TD locations are individually identified via the RMSI, the serving cell configuration common IE, or the serving cell configuration. The number of SSBs in the third SSB set may be the same as the number of SSBs in the first SSB set. The UE may determine, at least in part, which SSB in the first SSB set includes the same Tx spatial filter as an SSB in the third SSB set based on standard predefined rules. In other words, the repetition pattern may be at least in part based on standard predefined rules, which may result in a total configuration payload size of zero bits. This approach can be associated with less flexibility but lower configuration overhead and is suitable for SSB repetition patterns per SSB burst identified by the RMSI.

[0125] As indicated above, Figure 12 This is provided as an example. Other examples are available with reference to [the relevant information]. Figure 12 The examples described are different.

[0126] Figure 13 This is a diagram illustrating an example procedure 1300 performed by a UE according to this disclosure. Example procedure 1300 is an example in which a UE (e.g., UE 120) performs operations associated with predicting a narrow beam SSB using a wide beam SSB measurement.

[0127] like Figure 13 As shown, in some aspects, process 1300 may include receiving a plurality of SSB bursts, wherein the SSB bursts among the plurality of SSB bursts include a first SSB set and one or more repetitions of the first SSB set (box 1310). For example, the UE (e.g., using...) Figure 14 The receiving component 1402 and / or communication manager 1406 described herein can receive multiple SSB bursts, wherein the SSB bursts among the multiple SSB bursts include a first SSB set and one or more repetitions of the first SSB set, as described above.

[0128] like Figure 13 As further shown, in some aspects, process 1300 may include performing measurements associated with multiple SSB bursts (box 1320). For example, the UE (e.g., using...) Figure 14 The communication manager 1406 depicted herein can perform measurements associated with multiple SSB bursts, as described above.

[0129] like Figure 13 Further, in some aspects, process 1300 may include determining association information between a first SSB set and a second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted (box 1330). For example, the UE (e.g., using...) Figure 14 The communication manager 1406 described above can determine the association information between the first SSB set and the second SSB set, wherein the second SSB set is associated with resources that are not actually sent, as described above.

[0130] like Figure 13 As further shown, in some aspects, process 1300 may include determining the RACH configuration associated with the second SSB set (block 1340). For example, the UE (e.g., using...) Figure 14 The communication manager 1406 depicted herein can determine the RACH configuration associated with the second SSB set, as described above.

[0131] like Figure 13 Further, in some aspects, process 1300 may include determining, at least in part, the predicted optimal SSB in the second SSB set and the RACH resources associated with that predicted optimal SSB based on measurement, association information, and RACH configuration (box 1350). For example, the UE (e.g., using...) Figure 14 The communication manager 1406 described above can determine the predicted best SSB in the second SSB set and the RACH resource associated with the predicted best SSB based at least in part on measurements, association information, and RACH configuration.

[0132] like Figure 13 As further shown, in some aspects, process 1300 may include sending RACH messages (box 1360) based at least in part on the predicted optimal SSB and RACH resources. For example, the UE (e.g., using...) Figure 14 The sending component 1404 and / or communication manager 1406 described herein may send RACH messages based at least in part on the predicted optimal SSB and RACH resources, as described above.

[0133] Process 1300 may include additional aspects, such as any single aspect or any combination of aspects described below and / or in conjunction with one or more other processes described elsewhere in this document.

[0134] In the first aspect, the first set of SSBs is associated with wide-beam SSBs and the second set of SSBs is associated with narrow-beam SSBs.

[0135] In the second aspect, either alone or in combination with the first aspect, the RACH message is associated with the SCG establishment.

[0136] In the third aspect, either alone or in combination with one or more of the first and second aspects, the first SSB set is associated with SSBs transmitted for the serving cell, and the first SSB set is identified via the RMSI or the SSB location IE in the burst within the serving cell configuration public IE associated with the serving cell.

[0137] In the fourth aspect, either alone or in combination with one or more of the first to third aspects, process 1300 includes determining the association information based on RMSI, serving cell configuration public IE, or burst SSB location IE in serving cell configuration associated with the serving cell.

[0138] In the fifth aspect, either alone or in combination with one or more of the first to fourth aspects, the second set of SSBs is associated with virtual resources that have not actually been sent.

[0139] In the sixth aspect, either alone or in combination with one or more of the first to fifth aspects, the association information indicates the association between the first SSB set and the second SSB set in terms of beam pointing direction, beamwidth, or other implicit association.

[0140] In the seventh aspect, either alone or in combination with one or more of the first to sixth aspects, process 1300 includes determining a RACH configuration based on the RMSI, the serving cell configuration common IE, or the burst SSB location IE in the serving cell configuration associated with the serving cell, wherein the RACH configuration indicates RACH resources associated with the second SSB set, and the RACH resources indicate RO and preamble associated with the second SSB set.

[0141] In the eighth aspect, either alone or in combination with one or more of the first to seventh aspects, process 1300 includes determining the SSB pattern of each SSB burst based on the RMSI, the serving cell configuration public IE, or the burst SSB location IE in the serving cell configuration associated with the serving cell, wherein the SSB pattern of each SSB burst indicates the TD location of a third SSB set associated with the SSB burst, and the third SSB set is associated with one or more repetitions of the first SSB set.

[0142] In the ninth aspect, either alone or in combination with one or more of the first to eighth aspects, the third SSB set differs from the first SSB set in terms of TD position or SSB index.

[0143] In the tenth aspect, either alone or in combination with one or more of the first to ninth aspects, the number of SSBs associated with the first SSB set is less than the maximum number of SSBs per SSB burst.

[0144] In the eleventh aspect, either alone or in combination with one or more of the first to tenth aspects, the third SSB set is associated with a wide beam, the third SSB set is associated with the SD repeat of the first SSB set, and the TD location associated with the third SSB set is identified separately via RMSI, serving cell configuration common IE, or serving cell configuration associated with the serving cell.

[0145] In the twelfth aspect, the association between the RO, the preamble, and the second SSB set is predefined, either alone or in combination with one or more of the first to eleventh aspects.

[0146] In the thirteenth aspect, or alone or in combination with one or more of the first to twelfth aspects, at least in part, an orthogonal RO is configured in the TD and frequency domain between the first and second SSB sets based on the inability of the SSB beams to simultaneously receive the first and second SSB sets.

[0147] In the fourteenth aspect, either alone or in combination with one or more of the first to thirteenth aspects, at least in part, a non-orthogonal RO is configured in the TD and frequency domain between the first and second SSB sets based on an SSB beam capable of simultaneously receiving the first and second SSB sets.

[0148] In the fifteenth aspect, either alone or in combination with one or more of the first to fourteenth aspects, a transmission space filter association is configured between SSBs in the first SSB set and SSBs in the third SSB set.

[0149] In the sixteenth aspect, either alone or in combination with one or more of the first to fifteenth aspects, the SSBs in the third SSB set are configured with SSB indices associated with the SSBs in the first SSB set, and such associated SSBs are associated with the same transmit space filter.

[0150] In the seventeenth aspect, either alone or in combination with one or more of the first to sixteenth aspects, the number of SSBs in the third SSB set corresponds to the number of SSBs in the first SSB set, and the determination of SSBs in the third SSB set that have the same transmit space filter as SSBs in the first SSB set is based at least in part on standard predefined rules.

[0151] although Figure 13 An example box of process 1300 is shown, but in some respects, process 1300 may include... Figure 13 The boxes depicted in the text are compared to additional boxes, fewer boxes, different boxes, or boxes arranged in a different manner. Additionally or alternatively, two or more boxes in the process 1300 may be executed in parallel.

[0152] Figure 14 This is a diagram of an example device 1400 for wireless communication according to the present disclosure. Device 1400 may be a UE, or a UE may include device 1400. In some aspects, device 1400 includes a receiving component 1402, a transmitting component 1404, and / or a communication manager 1406 that can communicate with each other (e.g., via one or more buses and / or one or more other components). In some aspects, communication manager 1406 is combined with... Figure 1 The described communication manager 140. As shown, device 1400 can communicate with another device 1408 (such as a UE or a network node (such as a CU, DU, RU or base station)) using receiving component 1402 and transmitting component 1404.

[0153] In some respects, device 1400 can be configured to perform the functions described herein. Figures 7 to 12 One or more operations described herein. Additionally or alternatively, the apparatus 1400 may be configured to perform one or more processes described herein, such as Figure 13 The process is 1300. In some respects, Figure 14 The illustrated device 1400 and / or one or more components may include a combination Figure 2 One or more components of the described UE. Additionally or alternatively, Figure 14 One or more components shown can be combined Figure 2Implementation within one or more of the described components. Additionally or alternatively, one or more components in the set of components may be implemented at least partially as software stored in memory. For example, a component (or a portion of a component) may be implemented as instructions or code stored in a non-transitory computer-readable medium and executable by a controller or processor to perform the function or operation of the component.

[0154] Receiver 1402 may receive communications from device 1408, such as reference signals, control information, data communications, or combinations thereof. Receiver 1402 may provide the received communications to one or more other components of device 1400. In some aspects, receiver 1402 may perform signal processing on the received communications (such as filtering, amplification, demodulation, analog-to-digital conversion, demultiplexing, deinterleaving, demapping, equalization, interference cancellation, or decoding, etc.) and may provide the processed signals to one or more other components of device 1400. In some aspects, receiver 1402 may include combinations of... Figure 2 The described UE includes one or more antennas, modems, demodulators, MIMO detectors, receiver processors, controllers / processors, memory, or combinations thereof.

[0155] Transmitting component 1404 may transmit communications, such as reference signals, control information, data communications, or combinations thereof, to device 1408. In some aspects, one or more other components of device 1400 may generate communications and provide the generated communications to transmitting component 1404 for transmission to device 1408. In some aspects, transmitting component 1404 may perform signal processing (such as filtering, amplification, modulation, digital-to-analog conversion, multiplexing, interleaving, mapping, or encoding, etc.) on the generated communications and may transmit the processed signals to device 1408. In some aspects, transmitting component 1404 may include combinations of... Figure 2 The described UE includes one or more antennas, modems, modulators, transmit MIMO processors, transmit processors, controllers / processors, memory, or combinations thereof. In some aspects, the transmit component 1404 may be co-located with the receive component 1402 in a transceiver.

[0156] The communication manager 1406 may support the operation of the receiving component 1402 and / or the transmitting component 1404. For example, the communication manager 1406 may receive information associated with configuring the reception of communications by the receiving component 1402 and / or the transmission of communications by the transmitting component 1404. Additionally or alternatively, the communication manager 1406 may generate control information and / or provide control information to the receiving component 1402 and / or the transmitting component 1404 to control the reception and / or transmission of communications.

[0157] The receiving component 1402 can receive multiple SSB bursts, wherein one of the SSB bursts includes a first SSB set and one or more repetitions of the first SSB set. The communication manager 1406 can perform measurements associated with the multiple SSB bursts. The communication manager 1406 can determine association information between the first SSB set and a second SSB set, wherein the second SSB set is associated with resources that were not actually transmitted. The communication manager 1406 can determine the RACH configuration associated with the second SSB set. The communication manager 1406 can determine, at least in part, the predicted optimal SSB in the second SSB set and the RACH resource associated with the predicted optimal SSB, based on the measurements, association information, and RACH configuration. The transmitting component 1404 can transmit RACH messages, at least in part, based on the predicted optimal SSB and the RACH resource.

[0158] The communication manager 1406 can determine association information based on the RMSI, the serving cell configuration common IE, or the SSB position in a burst within the serving cell configuration associated with the serving cell. The communication manager 1406 can determine a RACH configuration based on the RMSI, the serving cell configuration common IE, or the SSB position IE in a burst within the serving cell configuration associated with the serving cell, wherein the RACH configuration indicates the RACH resource associated with the second SSB set, and the RACH resource indicates the RACH timing (RO) and preamble associated with the second SSB set. The communication manager 1406 can determine the SSB pattern for each SSB burst based on the RMSI, the serving cell configuration common IE, or the SSB position IE in a burst within the serving cell configuration associated with the serving cell, wherein the SSB pattern for each SSB burst indicates the TD position of a third SSB set associated with the SSB burst, and the third SSB set is associated with one or more repetitions of the first SSB set.

[0159] Figure 14 The number and arrangement of components shown are provided as an example. In reality, they can exist in... Figure 14 The components shown are compared to additional components, fewer components, different components, or components arranged in a different manner. Furthermore, Figure 14 The two or more components shown can be implemented within a single component, or Figure 14 The single component shown can be implemented as multiple distributed components. Additionally or alternatively, Figure 14 The collection of (one or more) components shown is executable and described as being composed of Figure 14 The other set of components shown performs one or more functions.

[0160] The following provides an overview of some aspects of this disclosure: Aspect 1: A method for wireless communication performed by a user equipment (UE), the method comprising: receiving a plurality of synchronization signal block (SSB) bursts, wherein an SSB burst of the plurality of SSB bursts includes a first SSB set and one or more repetitions of the first SSB set; performing a measurement associated with the plurality of SSB bursts; determining association information between the first SSB set and the second SSB set, wherein the second SSB set is associated with resources that are not actually transmitted; determining a random access channel (RACH) configuration associated with the second SSB set; determining a predicted optimal SSB in the second SSB set and a RACH resource associated with the predicted optimal SSB based at least in part on the measurement, the association information, and the RACH configuration; and transmitting a RACH message based at least in part on the predicted optimal SSB and the RACH resource.

[0161] Aspect 2: According to the method of aspect 1, wherein the first set of SSBs is associated with wide-beam SSBs and the second set of SSBs is associated with narrow-beam SSBs.

[0162] Aspect 3: The method according to any one of Aspects 1 to 2, wherein the RACH message is associated with the establishment of a secondary cell group (SCG).

[0163] Aspect 4: The method according to any one of Aspects 1 to 3, wherein the first SSB set is associated with SSBs transmitted for the serving cell, and the first SSB set is identified via Residual Minimum System Information (RMSI) or the SSB Location IE in the burst in the serving cell configuration public IE associated with the serving cell.

[0164] Aspect 5: According to the method of aspect 4, determining the association information includes determining the association information based on the RMSI, the serving cell configuration public IE, or the burst SSB location IE in the serving cell configuration associated with the serving cell.

[0165] Aspect 6: The method according to any one of Aspects 1 to 5, wherein the second SSB set is associated with actual unsent virtual resources.

[0166] Aspect 7: The method according to any one of Aspects 1 to 6, wherein the association information indicates the association between the first SSB set and the second SSB set in terms of beam pointing direction, beamwidth or other implicit association.

[0167] Aspect 8: The method according to aspect 4, the method further comprising: determining the RACH configuration based on the RMSI, the serving cell configuration public IE, or the burst SSB location IE in the serving cell configuration associated with the serving cell, wherein the RACH configuration indicates RACH resources associated with the second SSB set, and the RACH resources indicate RACH timing (RO) and preamble associated with the second SSB set.

[0168] Aspect 9: The method according to aspect 4, the method further comprising: determining an SSB pattern for each SSB burst based on the RMSI, the serving cell configuration common IE, or the SSB location IE in the burst in the serving cell configuration associated with the serving cell, wherein the SSB pattern for each SSB burst indicates the temporal location of a third SSB set associated with the SSB burst, and the third SSB set is associated with one or more repetitions of the first SSB set.

[0169] Aspect 10: According to the method of aspect 9, wherein the third SSB set is different from the first SSB set in terms of time domain location or SSB index.

[0170] Aspect 11: According to the method of aspect 9, the number of SSBs associated with the first SSB set is less than the maximum number of SSBs per SSB burst.

[0171] Aspect 12: According to the method of aspect 9, wherein the third SSB set is associated with a wide beam, the third SSB set is associated with the SD repeat of the first SSB set, and the time-domain location associated with the third SSB set is individually identified via the RMSI, the serving cell configuration common IE, or the serving cell configuration associated with the serving cell.

[0172] Aspect 13: According to the method of aspect 8, the association between the RO, the preamble and the second SSB set is predefined.

[0173] Aspect 14: The method according to aspect 13, wherein an orthogonal RO is configured between the first SSB set and the second SSB set in the time domain and the frequency domain based at least in part on the inability to simultaneously receive SSB beams of the first SSB set and the second SSB set.

[0174] Aspect 15: The method according to aspect 13, wherein a non-orthogonal RO is configured between the first SSB set and the second SSB set in the time domain and the frequency domain based at least in part on an SSB beam capable of simultaneously receiving the first SSB set and the second SSB set.

[0175] Aspect 16: According to the method of aspect 9, wherein a transmission space filter association is configured between SSBs in the first SSB set and SSBs in the third SSB set.

[0176] Aspect 17: According to the method of aspect 16, wherein the SSBs in the third SSB set are configured with SSB indices associated with the SSBs in the first SSB set, and such associated SSBs are associated with the same transmit space filter.

[0177] Aspect 18: According to the method of aspect 16, the number of SSBs in the third SSB set corresponds to the number of SSBs in the first SSB set, and the determination of SSBs in the third SSB set having the same transmit space filter as SSBs in the first SSB set is based at least in part on standard predefined rules.

[0178] Aspect 19: An apparatus for wireless communication at a device, the apparatus comprising: a processor; a memory coupled to the processor; and instructions stored in the memory and executable by the processor to cause the apparatus to perform the method according to one or more of aspects 1 to 18.

[0179] Aspect 20: An apparatus for wireless communication, the apparatus comprising: a memory and one or more processors coupled to the memory, the one or more processors being configured to perform the method according to one or more of aspects 1 to 18.

[0180] Aspect 21: An apparatus for wireless communication, the apparatus comprising at least one component for performing the method according to one or more of aspects 1 to 18.

[0181] Aspect 22: A non-transitory computer-readable medium storing code for wireless communication, the code including instructions executable by a processor to perform the method according to one or more of aspects 1 to 18.

[0182] Aspect 23: A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising one or more instructions which, when executed by one or more processors of a device, cause the device to perform the method according to one or more of aspects 1 to 18.

[0183] While the foregoing disclosure provides examples and descriptions, it is not intended to be exhaustive or to limit aspects to the precise forms disclosed. Modifications and variations can be made based on the foregoing disclosure, or from various aspects of practice.

[0184] As used herein, the term "component" is intended to be interpreted broadly as hardware and / or a combination of hardware and software. Whether referred to as software, firmware, middleware, microcode, hardware description language, or other names, "software" should be interpreted broadly as meaning instructions, instruction sets, code, code segments, program code, programs, subroutines, software modules, applications, software applications, software packages, routines, subroutines, objects, executable files, threads of execution, procedures, and / or functions, etc. As used herein, a "processor" is implemented in hardware and / or a combination of hardware and software. It will be apparent to those skilled in the art that the systems and / or methods described herein can be implemented in various forms of hardware and / or combinations of hardware and software. The actual dedicated control hardware or software code used to implement these systems and / or methods is not limited in any way. Therefore, no specific software code is referred to in this document to describe the operation and behavior of the systems and / or methods, as those skilled in the art will understand that the software and hardware can be designed, at least in part, based on the descriptions herein, to implement the systems and / or methods.

[0185] As used in this article, depending on the context, "meeting the threshold" can mean a value greater than the threshold, greater than or equal to the threshold, less than the threshold, less than or equal to the threshold, equal to the threshold, not equal to the threshold, etc.

[0186] Although specific combinations of features are set forth in the claims and / or disclosed in the specification, these combinations are not intended to limit the disclosure of various aspects. Many of these features may be combined in ways not specifically set forth in the claims and / or not disclosed in the specification. The disclosure of various aspects includes each dependent claim in combination with each other claim in the claim set. As used herein, the phrase “at least one of” in the list of items refers to any combination of these items (including a single member). As an example, “at least one of a, b, or c” is intended to cover a, b, c, a+b, a+c, b+c, and a+b+c, as well as any combination with multiple of the same element (e.g., a+a, a+a+a, a+a+b, a+a+c, a+b+b, a+c+c, b+b, b+b+b, b+b+c, c+c, and c+c+c, or any other ordering of a, b, and c).

[0187] No element, action, or instruction used herein should be construed as essential or necessary unless explicitly stated otherwise. Furthermore, as used herein, the articles “a” and “an” are intended to include one or more items and are interchangeable with “one or more.” Furthermore, as used herein, the article “described” is intended to include one or more items mentioned in connection with the article “described” and is interchangeable with “one or more.” Furthermore, as used herein, the terms “set” and “group” are intended to include one or more items and are interchangeable with “one or more.” If only one item is desired, the phrase “only one” or similar terminology will be used. Furthermore, as used herein, the terms “have,” “possess,” “have,” etc., are intended to be open-ended terms that do not limit the elements they modify (e.g., an element “having” A may also have B). Furthermore, the phrase “based on” is intended to mean “at least partially based on” unless otherwise explicitly stated. Furthermore, as used herein, the term “or” is intended to be open-ended when used in a series and is interchangeable with “and / or” unless otherwise explicitly stated (e.g., if used in conjunction with “any” or “only one”).

Claims

1. An apparatus for wireless communication at a user equipment (UE), the apparatus comprising: one or more memories; and one or more processors coupled to the one or more memories, the one or more processors being individually or collectively configured to: receive a plurality of synchronization signal block (SSB) bursts, wherein an SSB burst of the plurality of SSB bursts comprises a first set of SSBs and one or more repetitions of the first set of SSBs; perform measurements associated with the plurality of SSB bursts; determine association information between the first set of SSBs and a second set of SSBs, wherein the second set of SSBs is associated with resources that are not actually transmitted; determine a random access channel (RACH) configuration associated with the second set of SSBs; determine, based at least in part on the measurements, the association information, and the RACH configuration, a predicted best SSB of the second set of SSBs and a RACH resource associated with the predicted best SSB; and transmit a RACH message based at least in part on the predicted best SSB and the RACH resource.

2. The apparatus of claim 1, wherein the first set of SSBs is associated with wide beam SSBs and the second set of SSBs is associated with narrow beam SSBs.

3. The apparatus of claim 1, wherein the RACH message is associated with a secondary cell group (SCG) setup.

4. The apparatus of claim 1, wherein the first set of SSBs is associated with transmitted SSBs for a serving cell, and the first set of SSBs is identified via a remaining minimum system information (RMSI) or a burst-in-SSB-location IE in a serving cell configuration common information element (IE) associated with the serving cell.

5. The apparatus of claim 4, wherein to determine the association information, the one or more processors are individually or collectively configured to: determine the association information from the RMSI, the serving cell configuration common IE, or the burst-in-SSB-location IE in a serving cell configuration associated with the serving cell.

6. The apparatus of claim 1, wherein the second set of SSBs is associated with virtual resources that are not actually transmitted.

7. The apparatus of claim 1, wherein the association information indicates an association between the first set of SSBs and the second set of SSBs in terms of beam pointing direction, beam width, or other implicit associations.

8. The apparatus of claim 4, wherein to determine the RACH configuration, the one or more processors are individually or collectively configured to: determining the RACH configuration from the RMSI, the serving cell configuration common IE, or the SSB location in burst IE in a serving cell configuration associated with the serving cell, wherein the RACH configuration indicates RACH resources associated with the second set of SSBs, and the RACH resources indicate RACH occasions (ROs) and preambles associated with the second set of SSBs.

9. The apparatus of claim 4, wherein the one or more processors are separately or collectively configured to: determining a per-SSB-burst SSB pattern from the RMSI, the serving cell configuration common IE, or the SSB location in burst IE in a serving cell configuration associated with the serving cell, wherein the per-SSB-burst SSB pattern indicates a time-domain location of a third set of SSBs associated with the SSB burst, and the third set of SSBs is associated with the one or more repetitions of the first set of SSBs.

10. The apparatus of claim 9, wherein the third set of SSBs is different from the first set of SSBs in time-domain location or SSB index.

11. The apparatus of claim 9, wherein a number of SSBs associated with the first set of SSBs is less than a maximum number of SSBs per SSB burst.

12. The apparatus of claim 9, wherein the third set of SSBs is associated with a wide beam, the third set of SSBs is associated with a spatial-domain repetition of the first set of SSBs, and a time-domain location associated with the third set of SSBs is separately identified via the RMSI, the serving cell configuration common IE, or the serving cell configuration associated with the serving cell.

13. The apparatus of claim 8, wherein an association between the ROs, the preambles, and the second set of SSBs is predefined.

14. The apparatus of claim 13, wherein orthogonal ROs are configured in time domain and frequency domain between the first set of SSBs and the second set of SSBs based at least in part on an inability to simultaneously receive SSB beams of the first set of SSBs and the second set of SSBs.

15. The apparatus of claim 13, wherein non-orthogonal ROs are configured in time domain and frequency domain between the first set of SSBs and the second set of SSBs based at least in part on an ability to simultaneously receive SSB beams of the first set of SSBs and the second set of SSBs.

16. The apparatus of claim 9, wherein a transmit spatial filter association is configured between SSBs in the first set of SSBs and SSBs in the third set of SSBs.

17. The apparatus of claim 16, wherein SSBs in the third set of SSBs are configured with SSB indices associated with SSBs in the first set of SSBs, and such associated SSBs are associated with a same transmit spatial filter.

18. The apparatus of claim 16, wherein a quantity of SSBs in the third set of SSBs corresponds to a quantity of SSBs in the first set of SSBs, and the determination of SSBs in the third set of SSBs having a same transmit spatial filter as SSBs in the first set of SSBs is based at least in part on a standard pre-defined rule.

19. A method of wireless communication performed by a user equipment (UE), the method comprising: receiving a plurality of synchronization signal block (SSB) bursts, wherein an SSB burst of the plurality of SSB bursts comprises a first set of SSBs and one or more repetitions of the first set of SSBs; performing measurements associated with the plurality of SSB bursts; determining association information between the first set of SSBs and a second set of SSBs, wherein the second set of SSBs is associated with resources that are not actually transmitted; determining a random access channel (RACH) configuration associated with the second set of SSBs; determining, based at least in part on the measurements, the association information, and the RACH configuration, a predicted best SSB of the second set of SSBs and a RACH resource associated with the predicted best SSB; and transmitting a RACH message based at least in part on the predicted best SSB and the RACH resource.

20. The method of claim 19, wherein: the first set of SSBs is associated with wide-beam SSBs and the second set of SSBs is associated with narrow-beam SSBs; the second set of SSBs is associated with virtual resources that are not actually transmitted; the RACH message is associated with secondary cell group (SCG) setup; and the association information indicates an association between the first set of SSBs and the second set of SSBs in terms of beam pointing direction, beam width, or other implicit association.

21. The method of claim 19, wherein the first set of SSBs is associated with transmitted SSBs for a serving cell, the first set of SSBs is identified via a remaining minimum system information (RMSI) or a burst-in-SSB-location information element (IE) in a serving cell configuration common IE associated with the serving cell, and the association information is determined from the RMSI, the serving cell configuration common IE, or the burst-in-SSB-location IE in a serving cell configuration associated with the serving cell.

22. The method of claim 21, the method further comprising: determining the RACH configuration from the RMSI, the serving cell configuration common IE, or the burst-in-SSB-location IE in a serving cell configuration associated with the serving cell, wherein the RACH configuration indicates a RACH resource associated with the second set of SSBs, and the RACH resource indicates a RACH occasion (RO) and a preamble associated with the second set of SSBs; and determining a per-SSB-burst SSB pattern from the RMSI, the serving cell configuration common IE, or the burst-in-SSB-location IE in the serving cell configuration associated with the serving cell, wherein the per-SSB-burst SSB pattern indicates time-domain locations of a third set of SSBs associated with the SSB burst, and the third set of SSBs is associated with the one or more repetitions of the first set of SSBs.

23. The method of claim 22, wherein the third set of SSBs differs from the first set of SSBs in time-domain locations or SSB indices, and a number of SSBs associated with the first set of SSBs is less than a maximum number of SSBs per SSB burst.

24. The method of claim 22, wherein the third set of SSBs is associated with a wide beam, the third set of SSBs is associated with a spatial-domain repetition of the first set of SSBs, and time-domain locations associated with the third set of SSBs are separately identified via the RMSI, the serving cell configuration common IE, or the serving cell configuration associated with the serving cell.

25. The method of claim 22, wherein an association between the RO, the preamble, and the second set of SSBs is predefined.

26. The method of claim 25, wherein: orthogonal ROs are configured in a time domain and a frequency domain between the first set of SSBs and the second set of SSBs based at least in part on a lack of capability to simultaneously receive SSB beams of the first set of SSBs and the second set of SSBs; or non-orthogonal ROs are configured in the time domain and the frequency domain between the first set of SSBs and the second set of SSBs based at least in part on a capability to simultaneously receive SSB beams of the first set of SSBs and the second set of SSBs.

27. The method of claim 22, wherein a transmit spatial filter association is configured between SSBs in the first set of SSBs and SSBs in the third set of SSBs.

28. The method of claim 27, wherein: SSBs in the third set of SSBs are configured with SSB indices associated with SSBs in the first set of SSBs, and such associated SSBs are associated with a same transmit spatial filter; or a number of SSBs in the third set of SSBs corresponds to a number of SSBs in the first set of SSBs, and a determination of SSBs in the third set of SSBs with a same transmit spatial filter as SSBs in the first set of SSBs is based at least in part on a standard predefined rule.

29. A non-transitory computer-readable medium storing a set of instructions for wireless communication, the set of instructions comprising: one or more instructions that, when executed by one or more processors of a user equipment (UE), cause the UE to: receiving a plurality of synchronization signal block (SSB) bursts, wherein an SSB burst of the plurality of SSB bursts includes a first set of SSBs and one or more repetitions of the first set of SSBs; performing measurements associated with the plurality of SSB bursts; determining association information between the first set of SSBs and a second set of SSBs, wherein the second set of SSBs is associated with resources that are not actually transmitted; determining a random access channel (RACH) configuration associated with the second set of SSBs; determining, based at least in part on the measurements, the association information, and the RACH configuration, a predicted best SSB of the second set of SSBs and a random access channel (RACH) resource associated with the predicted best SSB; and transmitting a RACH message based at least in part on the predicted best SSB and the RACH resource.

30. An apparatus for wireless communication, the apparatus comprising: means for receiving a plurality of synchronization signal block (SSB) bursts, wherein an SSB burst of the plurality of SSB bursts includes a first set of SSBs and one or more repetitions of the first set of SSBs; means for performing measurements associated with the plurality of SSB bursts; means for determining association information between the first set of SSBs and a second set of SSBs, wherein the second set of SSBs is associated with resources that are not actually transmitted; means for determining a random access channel (RACH) configuration associated with the second set of SSBs; means for determining, based at least in part on the measurements, the association information, and the RACH configuration, a predicted best SSB of the second set of SSBs and a random access channel (RACH) resource associated with the predicted best SSB; and means for transmitting a RACH message based at least in part on the predicted best SSB and the RACH resource.

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