Request method and configuration method for positioning reference signal muting, and related device

Abstract

The present disclosure relates to the technical field of communications, and in particular relates to a request method and a configuration method for positioning reference signal muting, and a related device. The request method for positioning reference signal muting comprises: a terminal sends first request signaling to a network device, the first request signaling being used for requesting a first TRP to execute PRS muting processing. According to the present disclosure, when an AI model is deployed on a UE side, the terminal can actively request the network device to execute PRS muting processing for the first TRP, so that the terminal can trigger the PRS muting configuration as required and reduce interference between PRSs sent by multiple TRPs, thereby meeting data quality requirements of the AI model and improving positioning precision.

Description

Positioning reference signal silence request method, configuration method and related equipment Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a method for requesting and configuring positioning reference signal silencing and related devices. Background Art

[0002] In recent years, artificial intelligence (AI) technology has achieved breakthroughs and progress in various research fields, and is widely used in education, transportation, home, healthcare, retail, and other fields. Among them, AI-based enhancement of wireless communications is a key research direction in the communications field.

[0003] In some embodiments, since wireless communication networks have characteristics such as complex channels, low signal-to-noise ratio, and limited transmission rate, AI technology can improve the transmission rate and reliability of wireless signals through data analysis and model training, thereby improving the quality of wireless communications.

[0004] During 3GPP Release 18, RAN1 initiated a research project on using AI technology to enhance wireless air interfaces. This project introduces AI models into wireless communication networks to enhance use cases such as Channel State Information (CSI) reporting, beam management, and positioning, thereby reducing network overhead and enhancing performance.

[0005] Summary of the Invention

[0006] The embodiments of the present disclosure provide a positioning reference signal muting request method, a configuration method, and related devices to solve technical problems in related technologies.

[0007] According to a first aspect of an embodiment of the present disclosure, a method for requesting positioning reference signal silencing is proposed, the method comprising: sending a first request signaling to a network device, the first request signaling being used to request a first transmission point TRP to perform positioning reference signal PRS silencing processing.

[0008] According to a second aspect of an embodiment of the present disclosure, a method for configuring positioning reference signal silencing is proposed, the method comprising: receiving a first request signaling sent by a terminal, the first request signaling being used to request a first TRP to perform PRS silencing processing.

[0009] According to a third aspect of an embodiment of the present disclosure, a device for requesting positioning reference signal silencing is proposed, the device comprising: a first transceiver module, configured to send a first request signaling to a network device, wherein the first request signaling is configured to request a first transmission point TRP to perform positioning reference signal PRS silencing processing.

[0010] According to the fourth aspect of an embodiment of the present disclosure, a configuration device for positioning reference signal silencing is proposed, the device comprising: a second transceiver module, used to receive a first request signaling sent by a terminal, the first request signaling being used to request a first TRP to perform PRS silencing processing.

[0011] According to a fifth aspect of an embodiment of the present disclosure, a terminal is proposed, comprising: one or more processors; wherein the terminal is configured to execute the positioning reference signal silencing request method of the first aspect.

[0012] According to a sixth aspect of an embodiment of the present disclosure, a network device is proposed, comprising: one or more processors; wherein the network device is configured to execute the positioning reference signal silencing configuration method of the second aspect above.

[0013] According to a seventh aspect of an embodiment of the present disclosure, a communication system is proposed, comprising a terminal and a network device, wherein the terminal is configured to implement the method for requesting positioning reference signal silencing according to the first aspect, and the network device is configured to implement the method for configuring positioning reference signal silencing according to the second aspect.

[0014] According to an eighth aspect of an embodiment of the present disclosure, a storage medium is proposed, wherein the storage medium stores instructions. When the instructions are executed on a communication device, the communication device executes the method for requesting positioning reference signal silencing of the first aspect above and / or the method for configuring positioning reference signal silencing of the second aspect above.

[0015] According to an embodiment of the present disclosure, the terminal sends a first request signaling to the network device through the terminal, and the terminal can request the first TRP to perform PRS silencing processing. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silencing processing on the first TRP, which is beneficial for the terminal to trigger the PRS silencing configuration on demand, reduce the interference between the PRSs sent by multiple TRPs, thereby meeting the AI ​​model's quality requirements for data (including but not limited to the original data collected by the terminal, training data in the training phase, input data in the inference phase, etc.), and thus improve positioning accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0018] FIG2A is a schematic diagram of an AI positioning sub-scenario according to an embodiment of the present disclosure.

[0019] FIG2B is a schematic diagram of an AI positioning sub-scenario according to an embodiment of the present disclosure.

[0020] FIG2C is a schematic diagram of an AI positioning sub-scenario according to an embodiment of the present disclosure.

[0021] FIG2D is a schematic diagram of an AI positioning sub-scenario according to an embodiment of the present disclosure.

[0022] FIG2E is a schematic diagram of an AI positioning sub-scenario according to an embodiment of the present disclosure.

[0023] FIG3A is a schematic diagram showing PRS interference occurring in the time domain according to an embodiment of the present disclosure.

[0024] FIG3B is a schematic diagram showing PRS interference occurring in the frequency domain according to an embodiment of the present disclosure.

[0025] FIG4 is a schematic diagram illustrating an interaction method of a positioning reference signal muting request and configuration method according to an embodiment of the present disclosure.

[0026] FIG5 is a schematic flowchart showing a method for requesting positioning reference signal muting according to an embodiment of the present disclosure.

[0027] FIG6A is a schematic diagram showing a method of performing PRS muting processing based on a first mode according to an embodiment of the present disclosure.

[0028] FIG6B is a schematic diagram showing a PRS muting process performed based on the second mode according to an embodiment of the present disclosure.

[0029] FIG7 is a schematic flowchart illustrating a method for configuring positioning reference signal muting according to an embodiment of the present disclosure.

[0030] FIG8 is a schematic block diagram showing a device for requesting positioning reference signal muting according to an embodiment of the present disclosure.

[0031] FIG9 is a schematic block diagram showing a device for configuring positioning reference signal muting according to an embodiment of the present disclosure.

[0032] FIG10 is a schematic structural diagram of a communication device proposed in an embodiment of the present disclosure.

[0033] FIG11 is a schematic diagram of the structure of a chip proposed in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0034] The embodiments of the present disclosure provide a method for requesting and configuring positioning reference signal muting, and related devices.

[0035] In a first aspect, an embodiment of the present disclosure proposes a method for requesting positioning reference signal silencing, the method comprising: sending a first request signaling to a network device, the first request signaling being used to request a first transmission point TRP to perform positioning reference signal PRS silencing processing.

[0036] In the above embodiment, the terminal sends a first request signaling to the network device, and the terminal can request the first TRP to perform PRS silencing processing. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silencing processing on the first TRP, which is beneficial for the terminal to trigger the PRS silencing configuration on demand, reduce the interference between the PRSs sent by multiple TRPs, thereby meeting the AI ​​model's quality requirements for data (including but not limited to the original data collected by the terminal, training data in the training phase, input data in the inference phase, etc.), and thus improve positioning accuracy.

[0037] In combination with some embodiments of the first aspect. In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal expects the first TRP not to send PRS to the terminal; the terminal expects the first TRP not to send PRS to the terminal on the first PRS resource set; the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silent requirement, and the first PRS configuration information is used for data collection in the artificial intelligence AI model training phase, and the AI ​​model is deployed on the terminal.

[0038] In combination with some embodiments of the first aspect. In some embodiments, the first request signaling includes at least one of the following: a TRP identifier, the TRP identifier is used to identify the first TRP; a resource set identifier, the resource set identifier is used to identify the first PRS resource set; a PRS muting mode, the PRS muting mode is used to indicate the PRS muting requirement.

[0039] In combination with some embodiments of the first aspect. In some embodiments, the PRS muting pattern includes a first pattern and / or a second pattern; wherein the first pattern is used to indicate whether one PRS muting period includes multiple consecutive PRS transmission periods, and whether muting is performed for PRS resource sets within each PRS transmission period in each PRS muting period; and the second pattern is used to indicate whether one PRS muting period includes one PRS transmission period, and whether muting is performed for repeated instances in a PRS resource set in each PRS muting period.

[0040] In combination with some embodiments of the first aspect, in some embodiments, sending the first request signaling to the network device includes: sending the first request signaling to the network device before data collection in the AI ​​model training phase.

[0041] In combination with some embodiments of the first aspect, in some embodiments, sending the first request signaling to the network device includes: sending the first request signaling to the network device based on prior information.

[0042] In combination with some embodiments of the first aspect. In some embodiments, sending the first request signaling to the network device includes: after data collection in the AI ​​model training phase begins, in response to the received PRS not meeting the quality requirements of the AI ​​model, sending the first request signaling to the network device.

[0043] In combination with some embodiments of the first aspect, in some embodiments, the received PRS does not meet the quality requirements of the AI ​​model, including at least one of the following: a signal-to-noise ratio (SNR) corresponding to the received PRS is less than a first threshold; a signal-to-interference-plus-noise ratio (SINR) corresponding to the received PRS is less than a second threshold.

[0044] In combination with some embodiments of the first aspect. In some embodiments, in response to the received PRS not meeting the quality requirements of the AI ​​model, sending the first request signaling to the network device includes at least one of the following: in response to the PRS received in any PRS transmission period not meeting the quality requirements of the AI ​​model, sending the first request signaling to the network device; in response to the number of PRS transmission periods in which the PRS received in any PRS silent period does not meet the quality requirements of the AI ​​model exceeds a third threshold, sending the first request signaling to the network device.

[0045] In combination with some embodiments of the first aspect, in some embodiments, the PRS includes a PRS transmitted on a PRS resource; or, the PRS includes a PRS transmitted on a PRS resource set; or, the PRS includes a PRS transmitted on a TRP.

[0046] In combination with some embodiments of the first aspect. In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal does not expect to receive the PRS sent by the first TRP after the first duration; the terminal does not expect to receive the PRS sent by the first TRP on the first PRS resource set after the second duration; the terminal expects to receive the PRS sent by the first TRP according to the reconfigured first PRS configuration information after the third duration, the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

[0047] In combination with some embodiments of the first aspect, in some embodiments, the terminal expects the second PRS configuration information to be consistent with the reconfigured first PRS configuration information, and the second PRS configuration information is used in the AI ​​model inference phase.

[0048] In a second aspect, an embodiment of the present disclosure proposes a method for configuring positioning reference signal silencing, the method comprising: receiving a first request signaling sent by a terminal, the first request signaling being used to request a first TRP to perform PRS silencing processing.

[0049] In the above embodiment, the terminal sends a first request signaling to the network device, and the terminal can request the first TRP to perform PRS silencing processing. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silencing processing on the first TRP, which is beneficial for the terminal to trigger the PRS silencing configuration on demand, reduce the interference between the PRSs sent by multiple TRPs, thereby meeting the AI ​​model's quality requirements for data (including but not limited to the original data collected by the terminal, training data in the training phase, input data in the inference phase, etc.), and thus improve positioning accuracy.

[0050] In combination with some embodiments of the second aspect. In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal expects the first TRP not to send PRS to the terminal; the terminal expects the first TRP not to send PRS to the terminal on the first PRS resource set; the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silent requirement, and the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

[0051] In combination with some embodiments of the second aspect. In some embodiments, the first request signaling includes at least one of the following: a TRP identifier, the TRP identifier is used to identify the first TRP; a resource set identifier, the resource set identifier is used to identify the first PRS resource set; a PRS muting mode, the PRS muting mode is used to indicate the PRS muting requirement.

[0052] In combination with some embodiments of the second aspect. In some embodiments, the PRS muting pattern includes a first pattern and / or a second pattern; wherein the first pattern is used to indicate whether one PRS muting period includes multiple consecutive PRS transmission periods, and whether muting is performed on a PRS resource set within each PRS transmission period in each PRS muting period; and the second pattern is used to indicate whether one PRS muting period includes one PRS transmission period, and whether muting is performed on repeated instances in a PRS resource set in each PRS muting period.

[0053] In conjunction with some embodiments of the second aspect, in some embodiments, the first request signaling is sent by the terminal before data collection in the AI ​​model training phase; or, the first request signaling is sent by the terminal after data collection starts in the AI ​​model training phase and when the received PRS does not meet the quality requirements of the AI ​​model.

[0054] In combination with some embodiments of the second aspect, in some embodiments, the method further comprises: performing PRS muting processing on the first TRP according to the PRS muting requirement of the terminal; or not performing PRS muting processing on the first TRP according to the PRS muting requirement of the terminal.

[0055] In combination with some embodiments of the second aspect, in some embodiments, the method further includes: sending the PRS to the terminal according to the reconfigured first PRS configuration information.

[0056] In combination with some embodiments of the second aspect, in some embodiments, the method further includes: sending a PRS to the terminal according to second PRS configuration information, where the second PRS configuration information is used in the AI ​​model inference phase, and the second PRS configuration information is consistent with the reconfigured first PRS configuration information.

[0057] In a third aspect, an embodiment of the present disclosure proposes a device for requesting positioning reference signal silencing, the device comprising: a first transceiver module, used to send a first request signaling to a network device, the first request signaling being used to request a first TRP to perform PRS silencing processing.

[0058] In a fourth aspect, an embodiment of the present disclosure proposes a configuration device for positioning reference signal silencing, the device comprising: a second transceiver module, for receiving a first request signaling sent by a terminal, the first request signaling being used to request a first TRP to perform PRS silencing processing.

[0059] In a fifth aspect, an embodiment of the present disclosure proposes a terminal, comprising: one or more processors; wherein the terminal is used to execute the method for requesting silence of a positioning reference signal as described in the first aspect and the optional embodiment of the first aspect.

[0060] In a sixth aspect, an embodiment of the present disclosure proposes a network device, comprising: one or more processors; wherein the network device is used to execute the configuration method for positioning reference signal silencing described in the second aspect and the optional embodiment of the second aspect.

[0061] In the seventh aspect, an embodiment of the present disclosure proposes a communication device, which includes: one or more processors; one or more memories for storing instructions; wherein the processor is used to call the instructions so that the communication device executes the method described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0062] In the eighth aspect, an embodiment of the present disclosure proposes a communication system, which includes: a terminal and a network device; wherein the terminal is configured to execute the method described in the first aspect and the optional embodiment of the first aspect, and the network device is configured to execute the method described in the second aspect and the optional embodiment of the second aspect.

[0063] In the ninth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0064] In a tenth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0065] In an eleventh aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the methods described in the first and second aspects, and the optional embodiments of the first and second aspects.

[0066] It is understandable that the above-mentioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0067] The present disclosure provides methods and configuration methods for requesting and configuring positioning reference signal muting, and related devices. In some embodiments, the terms "positioning reference signal muting request method," "positioning reference signal muting configuration method," "information processing method," and "communication method" are interchangeable. The terms "terminal," "network device," "positioning reference signal muting request device," "positioning reference signal muting configuration device," and "communication device" are interchangeable. The terms "positioning reference signal muting request system," "configuration system," and "communication system" are interchangeable.

[0068] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional embodiments in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional embodiments of other embodiments.

[0069] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0070] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0071] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular form, such as "a", "an", "the", "above", "said", "aforementioned", "this", etc., may mean "one and only one", or "one or more", "at least one", etc.

[0072] For example, when using articles such as “a”, “an”, and “the” in English in translation, the noun following the article can be understood as a singular expression or a plural expression.

[0073] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0074] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0075] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0076] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0077] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restrictions on the position, order, priority, quantity or content of the description objects. For the statement of the description objects, please refer to the description in the context of the claims or embodiments, and no unnecessary restrictions should be constituted due to the use of prefixes.

[0078] For example, if the description object is "field," the ordinal number preceding "field" in "first field" and "second field" does not restrict the position or order of the "fields." "First" and "second" do not restrict whether the modified "fields" are in the same message, nor do they restrict the order of the "first field" and "second field." For another example, if the description object is "level," the ordinal number preceding "level" in "first level" and "second level" does not restrict the priority of the "levels." For another example, the number of description objects is not restricted by the ordinal number and can be one or more. For example, in the case of "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the description object is "device," "first device" and "second device" can be the same or different devices, and their types can be the same or different. For another example, if the description object is "information," "first information" and "second information" can be the same or different information, and their content can be the same or different.

[0079] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0080] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0081] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0082] In some embodiments, devices and the like can be interpreted as physical or virtual, and their names are not limited to those in the embodiments.

[0083] The recorded names, "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject" and other terms can be used interchangeably.

[0084] In some embodiments, "network" can be interpreted as devices included in the network (eg, access network equipment, core network equipment, etc.).

[0085] In some embodiments, the terms "access network device (AN device)", "radio access network device (RAN device)", "base station (BS)", "radio base station" "fixed station", "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission / reception point (TRP)", "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)" and the like may be used interchangeably.

[0086] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc. can be used interchangeably.

[0087] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it is also possible to set the structure in which the terminal has all or part of the functions of the access network device. In addition, terms such as "uplink" and "downlink" can also be replaced by terms corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0088] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0089] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0090] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0091] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0092] FIG1 is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0093] As shown in FIG1 , a communication system 100 includes a terminal 101 and a network device 102 , wherein the network device includes at least one of the following: an access network device and a core network device.

[0094] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0095] In some embodiments, one or more AI models may be deployed on the terminal. In some possible implementations, the AI ​​models deployed on the terminal may be used for positioning enhancement.

[0096] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0097] In some embodiments, a core network device may be a device including one or more network elements, or may be multiple devices or device groups, each including all or part of the one or more network elements. The network element may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC).

[0098] In some embodiments, the core network device may include a location management function (LMF).

[0099] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0100] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0101] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0102] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG1 , or a portion thereof, but are not limited thereto. The entities shown in FIG1 are illustrative only. The communication system may include all or part of the entities shown in FIG1 , or may include other entities outside of FIG1 . The number and form of the entities are arbitrary, and the entities may be physical or virtual. The connection relationships between the entities are illustrative only. The entities may be connected or disconnected, and the connection may be in any manner, including direct or indirect, wired or wireless.

[0103] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0104] In some embodiments, positioning can be enhanced based on AI technology to enhance positioning accuracy through AI models trained with large amounts of data.

[0105] In some embodiments, the positioning use case may include two sub-use cases: direct AI / ML positioning and AI / ML assisted positioning.

[0106] In some embodiments, depending on the entity where the AI ​​model resides and the entity performing the (positioning) calculation, it can be divided into five sub-scenarios as shown in Figures 2A to 2E. Please refer to Figures 2A to 2E, which are schematic diagrams of AI positioning sub-scenarios according to embodiments of the present disclosure.

[0107] The sub-scenario shown in Figure 2A can also be described as Case 1, or "Case 1: UE-based positioning with UE-side model, direct AI / ML or AI / ML assisted positioning." In Figure 2A, the AI ​​model is deployed on the UE side, and the UE performs positioning calculations, supporting direct AI / ML positioning or AI / ML assisted positioning. In some embodiments, the gNB can send a positioning reference signal (PRS) to the UE. Furthermore, the UE can perform PRS measurements and input the collected data (including but not limited to PRS measurement results) into the AI ​​model for inference, obtaining a positioning result output by the AI ​​model. Furthermore, the UE can send the positioning result (such as the location shown in Figure 2A) to the LMF.

[0108] Among them, the sub-scenario shown in Figure 2B can also be described as Case 2a, or "Case 2a: UE-assisted / LMF-based positioning with UE-side model, AI / ML assisted positioning". In Figure 2B, the AI ​​model is deployed on the UE side, and the LMF side performs positioning calculations, supporting AI / ML assisted positioning. In some embodiments, the gNB can send PRS to the UE; further, the UE can perform PRS measurement and input the collected data (including but not limited to PRS measurement results) into the AI ​​model for inference to obtain intermediate results output by the AI ​​model; further, the UE can send the intermediate results (such as the intermediate results shown in Figure 2B) to the LMF, so that the LMF can perform positioning calculations based on the intermediate results.

[0109] The sub-scenario shown in Figure 2C can also be described as Case 2b, or "Case 2b: UE-assisted / LMF-based positioning with LMF-side model, direct AI / ML positioning." In Figure 2C, the AI ​​model is deployed on the LMF side, which performs positioning calculations and supports direct AI / ML positioning. In some embodiments, the gNB can send a PRS to the UE; further, the UE can perform PRS measurements and send PRS-based measurement results (such as the PRS-based measurement shown in Figure 2C) to the LMF; further, the LMF can input the collected data (including but not limited to the PRS-based measurement results) into the AI ​​model for inference, thereby obtaining the positioning results output by the AI ​​model.

[0110] Among them, the sub-scenario shown in Figure 2D can also be described as Case 3a, or "Case 3a: NG-RAN node assisted positioning with gNB-side model, AI / ML assisted positioning". In Figure 2D, the AI ​​model is deployed on the gNB side, and the LMF side performs positioning calculations, supporting AI / ML-assisted positioning. In some embodiments, the UE can send a channel sounding reference signal (SRS) to the gNB; the gNB can perform SRS measurement and input the collected data (including but not limited to SRS measurement results) into the AI ​​model for inference to obtain intermediate results output by the AI ​​model; further, the gNB can send the intermediate results (such as the intermediate results shown in Figure 2D) to the LMF, so that the LMF can perform positioning calculations based on the intermediate results.

[0111] The sub-scenario shown in Figure 2E can also be described as Case 3b, or "Case 3b: NG-RAN node assisted positioning with LMF-side model, direct AI / ML positioning." In Figure 2E , the AI ​​model is deployed on the LMF side, and the LMF performs positioning calculations, supporting direct AI / ML positioning. In some embodiments, the UE can send an SRS to the gNB; the gNB can perform SRS measurements and send SRS-based measurement results to the LMF (such as the SRS-based measurement shown in Figure 2E ); further, the LMF can input the collected data (including but not limited to the SRS measurement results) into the AI ​​model for inference, thereby obtaining the positioning results output by the AI ​​model.

[0112] In some embodiments, for the case where the AI ​​model is deployed on the UE side, such as the sub-scenarios shown in Figures 2A and 2B, a transmission point (transmission / reception point, TRP) can send PRS to multiple UEs based on the same PRS configuration, and a UE may receive PRS sent by multiple TRPs, where each TRP can be based on the same or different PRS configuration; in this case, since the PRSs sent by multiple TRPs on the same time-frequency resources may interfere with each other, the PRS configured on the network side may not meet the quality requirements of the AI ​​model on the UE side.

[0113] For example, FIG3A is a schematic diagram showing PRS interference in the time domain according to an embodiment of the present disclosure. As shown in FIG3A , time is represented horizontally, increasing from left to right, each large rectangle represents a PRS resource set, and each small rectangle in the large rectangle represents a PRS resource included in the PRS resource set. Assuming that TRP#1 sends PRS to UE#1 on PRS resource #1 and PRS resource #5, and TRP#2 sends PRS to UE#1 on PRS resource #1 and PRS resource #2, the PRSs sent by TRP#1 and TRP#2 on the same time domain resource (that is, the time domain resource corresponding to PRS resource #1) may interfere with each other, resulting in the data collected by UE#1 failing to meet the quality requirements of the AI ​​model for training data.

[0114] For example, FIG3B is a schematic diagram illustrating PRS interference in the frequency domain according to an embodiment of the present disclosure. As shown in FIG3B , in a time slot, PRS resource #1 and PRS resource #2 are two adjacent PRS resources; wherein PRS resource #1 includes SL PRS resource #0 and SL PRS resource #1 using different comb offsets, and PRS resource #2 includes SL PRS resource #2 and SL PRS resource #3 using different comb offsets. In this case, interference may exist between adjacent SL PRS resource #0 and SL PRS resource #1, interference may exist between adjacent SL PRS resource #2 and SL PRS resource #3, and even interference may exist between SL PRS resource #0 and SL PRS resource #2.

[0115] FIG4 is a schematic diagram illustrating an interaction method of a positioning reference signal muting request and configuration method according to an embodiment of the present disclosure.

[0116] As shown in FIG4 , the method for requesting and configuring positioning reference signal muting includes:

[0117] Step S401: The terminal sends a first request signaling to a network device.

[0118] In some embodiments, an AI model is deployed on the terminal. The AI ​​model can be used for direct AI positioning and / or AI-assisted positioning. For example, the terminal can be a UE as shown in Figure 2A, or the terminal can be a UE as shown in Figure 2B. For the AI-based positioning process, please refer to the embodiments related to Figures 2A and 2B above, which will not be repeated here.

[0119] In some embodiments, the network device may include a core network device. In some embodiments, the core network device may include a LMF.

[0120] In some embodiments, the first request signaling is used to request the first TRP to perform PRS muting processing.

[0121] In some embodiments, the terminal may receive PRSs sent by multiple TRPs, and the first TRP may include one or more TRPs among the multiple TRPs.

[0122] In some embodiments, the first TRP may include a TRP in which the PRS sent to the terminal does not meet the quality requirements of the AI ​​model. And / or, the first TRP may include a TRP in which the PRS sent by the first TRP interferes with the PRS sent by the second TRP, resulting in the PRS sent by the second TRP to the terminal not meeting the quality requirements of the AI ​​model.

[0123] It should be noted that in the embodiments of the relevant technology, the PRS silence configuration is usually determined by the network side, which may result in the PRS configured on the network side not meeting the quality requirements of the AI ​​model on the UE side. In the above embodiment of the present disclosure, the terminal sends a first request signaling to the network device through the terminal, and the terminal can request the first TRP to perform PRS silence processing. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silence processing on the first TRP, which is conducive to the terminal triggering the PRS silence configuration on demand and reducing the interference between the PRSs sent by multiple TRPs, thereby meeting the quality requirements of the AI ​​model for data (including but not limited to the original data collected by the terminal, the training data in the training phase, the input data in the reasoning phase, etc.), thereby improving the positioning accuracy.

[0124] In some embodiments, the first request signaling is used to indicate that the terminal expects the first TRP not to send a PRS, that is, the terminal sending the first request signaling expects the first TRP not to send a PRS to the terminal and not to send a PRS to other terminals. And / or, the first request signaling is used to indicate that the terminal expects the first TRP not to send a PRS to the terminal. And / or, the first request signaling is used to indicate that the terminal expects the first TRP to stop sending a PRS to the terminal.

[0125] It should be noted that in the above embodiment, "stop sending PRS" may mean that the network device has already started sending PRS to the terminal, and the terminal requests the network device to stop sending PRS. "not sending PRS" may mean that the network device has not yet started sending PRS to the terminal, and the terminal requests the network device not to send PRS, or it may mean that the network device has already started sending PRS to the terminal, and the terminal requests the network device to stop sending PRS.

[0126] In the above embodiment, the first request signaling may include the TRP identifier of the first TRP. For example, the first request signaling may include the TRP ID of the first TRP. In some possible implementations, the dl-PRS-ID IE in the first request signaling may represent the TRP identifier. For the specific implementation of the dl-PRS-ID IE, please refer to the embodiment related to step 501 below, which will not be described in detail here.

[0127] In some embodiments, the first request signaling is used to indicate that the terminal desires the first TRP not to send the first PRS resource set. That is, the terminal sending the first request signaling desires the first TRP not to send the first PRS resource set to the terminal itself and not to send the first PRS resource set to other terminals. And / or, the first request signaling is used to indicate that the terminal desires the first TRP not to send PRS to the terminal on the first PRS resource set. And / or, the first request signaling is used to indicate that the terminal desires the first TRP to stop sending PRS to the terminal on the first PRS resource set.

[0128] In the above embodiment, the first request signaling may include the resource set identifier of the first PRS resource set, or the TRP identifier of the first TRP and the resource set identifier of the first PRS resource set. For example, the first request signaling may include the resource set ID of the first PRS resource set. In some possible implementations, the NR-DL-PRS-ResourceSet IE in the first request signaling may represent the resource set identifier. For the specific implementation of the NR-DL-PRS-ResourceSet IE, please refer to the embodiment related to step 501 below, which will not be described in detail here.

[0129] It should be noted that, in the above embodiment, when the first request signaling is used to indicate that the terminal expects the first TRP not to send PRS or the first PRS resource set, the network device may not reconfigure the first PRS configuration information and not send PRS or the first PRS resource set, or the network device may first reconfigure the first PRS configuration information and then not send PRS or the first PRS resource set according to the reconfigured first PRS configuration information.

[0130] In some embodiments, the first request signaling is used to indicate that the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS muting requirement. The first PRS configuration information is used for data collection in the AI ​​model training phase.

[0131] In the above embodiment, the first request signaling may include a TRP identifier, a resource set identifier, and / or a PRS muting pattern. The PRS muting pattern is used to indicate the PRS muting requirement of the terminal. For example, the first request signaling may include the TRP ID of the first TRP and the PRS muting pattern desired by the terminal.

[0132] In some embodiments, the PRS muting mode includes a first mode and / or a second mode. The first mode is used to indicate whether a PRS muting period includes multiple consecutive PRS transmission periods, and whether muting is performed on the PRS resource sets within each PRS transmission period during each PRS muting period. The second mode is used to indicate whether a PRS muting period includes one PRS transmission period, and whether muting is performed on repeated instances in the PRS resource sets during each PRS muting period. For the specific implementation of the first mode, please refer to the embodiment related to FIG. 6A below, and for the specific implementation of the second mode, please refer to the embodiment related to FIG. 6B below, which will not be described in detail here.

[0133] In some possible implementations, the DL-PRS-MutingOption1 IE in the first request signaling may indicate that the PRS muting mode expected by the terminal is the first mode, and the NR-MutingPattern IE in the first request signaling may indicate the specific content of the first mode. In other possible implementations, the DL-PRS-MutingOption2 IE in the first request signaling may indicate that the PRS muting mode expected by the terminal is the second mode, and the NR-MutingPattern IE in the first request signaling may indicate the specific content of the second mode. For the specific implementation of the DL-PRS-MutingOption1 IE, the DL-PRS-MutingOption2 IE, and the NR-MutingPattern IE, please refer to the embodiment related to step 501 below, which will not be described in detail here.

[0134] In some embodiments, in addition to the PRS muting mode, the PRS muting requirement may also include at least one of the following: a frequency range of the PRS, such as FR1, FR2, etc.; a PRS resource allocation bandwidth, such as the number of PRBs; a PRS resource period; a PRS resource set period; the number of repeated transmissions of the PRS resource; the number of PRS symbols; the comb density of the PRS; and spatial domain information of the PRS, such as quasi-co-location (QCL) information.

[0135] In some embodiments, the first PRS configuration information and the legacy PRS configuration information may be independent of each other. In this case, the first request signaling may be effective only for the first PRS configuration information. The legacy PRS configuration information refers to the PRS configuration information known to those skilled in the art before the introduction of the AI ​​model for positioning enhancement, and is not described in detail here.

[0136] In other embodiments, the first PRS configuration information and the legacy PRS configuration information are not independent of each other, that is, the legacy PRS configuration information may be used as the first PRS configuration information, or the legacy PRS configuration information may be adjusted to obtain the first PRS configuration information.

[0137] In some embodiments, the terminal may send the first request signaling to the network device before data collection in the AI ​​model training phase. And / or, the terminal may send the first request signaling to the network device after data collection in the AI ​​model training phase begins.

[0138] In some embodiments, the terminal may send a first request signaling to the network device based on prior information before collecting data in the AI ​​model training phase. The prior information may include information obtained in the previous AI model training phase. For example, during the previous model training process, it was found that the PRS received by the terminal from TRP#1 did not meet the quality requirements of the AI ​​model, and TRP#1 and TRP#2 interfered with each other. Therefore, before collecting data in this AI model training phase, a first request signaling may be sent to the network device. The first request signaling is used to request the network device to reconfigure the first PRS configuration information of TRP#1 and TRP#2, or the first request signaling is used to request the network device not to send PRS to the terminal on TRP#1 and TRP#2.

[0139] In some embodiments, after the data collection of the AI ​​model training phase begins, the terminal may send a first request signaling to the network device in response to the received PRS not meeting the quality requirements of the AI ​​model. If the signal-to-noise ratio (SNR) corresponding to the PRS received by the terminal is less than the first threshold, it can be determined that the received PRS does not meet the quality requirements of the AI ​​model. And / or, if the signal-to-interference-plus-noise ratio (SINR) corresponding to the PRS received by the terminal is less than the second threshold, it can be determined that the received PRS does not meet the quality requirements of the AI ​​model. Regarding the specific values ​​of the first threshold and the second threshold, the present disclosure does not limit this.

[0140] In some embodiments, the terminal sends a first request signaling to the network device in response to the PRS received in any PRS transmission period not meeting the quality requirements of the AI ​​model. Alternatively, the terminal sends a first request signaling to the network device in response to the number of PRS transmission periods in which the PRS received in any PRS silent period does not meet the quality requirements of the AI ​​model exceeding a third threshold. The third threshold is greater than 0 and less than the number of PRS transmission periods included in a PRS silent period. The specific value of the third threshold is not limited in this disclosure.

[0141] In some embodiments, the PRS may include a PRS sent on one PRS resource; or, the PRS includes a PRS sent on one PRS resource set; or, the PRS includes a PRS sent on one TRP.

[0142] In some embodiments, the terminal sends a first request signaling to the network device in response to a PRS received on a PRS resource not meeting the quality requirements of the AI ​​model. And / or, the terminal sends a first request signaling to the network device in response to a PRS received on a PRS resource set not meeting the quality requirements of the AI ​​model. The terminal sends a first request signaling to the network device in response to a PRS received on a TRP not meeting the quality requirements of the AI ​​model.

[0143] In some embodiments, the first request signaling is used to indicate that the terminal does not expect to receive the PRS sent by the first TRP after the first duration. The first duration may at least include the sum of the transmission duration of the terminal sending the first request signaling to the network device and the transmission duration of the network device sending the PRS to the terminal.

[0144] In some embodiments, the first request signaling is used to indicate that the terminal does not expect to receive the first PRS resource set sent by the first TRP after the second duration. The second duration may at least include the sum of the transmission duration of the terminal sending the first request signaling to the network device and the transmission duration of the network device sending the first PRS resource set to the terminal.

[0145] In some embodiments, the first request signaling is used to indicate that the terminal expects to receive a PRS sent by the first TRP according to the reconfigured first PRS configuration information after a third duration. The third duration may at least include the sum of a transmission duration for the terminal to send the first request signaling to the network device and a transmission duration for the network device to send the PRS to the terminal.

[0146] In some embodiments, the first PRS configuration information is used for data collection during the AI ​​model training phase, and the second PRS configuration information is used during the AI ​​model inference phase. If the terminal sends a first request signaling to the network device, and the network device reconfigures the first PRS configuration information, the terminal expects the second PRS configuration information to be consistent with the reconfigured first PRS configuration information.

[0147] In the above embodiments, the terminal can actively request the network device to reconfigure the first PRS configuration information during the training phase of the AI ​​model, so that the PRS sent by the network device to the terminal according to the reconfigured first PRS configuration information can meet the data quality requirements of the AI ​​model and improve the training effect of the AI ​​model; and the terminal expects that in the inference phase of the AI ​​model, the network device can send PRS to the terminal according to the second PRS configuration information consistent with the reconfigured first PRS configuration information, so that the input data in the inference phase of the AI ​​model can also meet the data quality requirements of the AI ​​model, thereby improving the positioning accuracy.

[0148] In some embodiments, the network device may receive first request signaling.

[0149] Step S402: The network device performs PRS silencing processing on the first TRP.

[0150] In some embodiments, the network device may perform PRS muting processing on the first TRP according to the PRS muting requirements of the terminal.

[0151] In one possible implementation, the first request signaling is used to instruct the first TRP not to send a PRS to the terminal, and the network device may not send a PRS to the terminal on the first TRP. And / or, the first request signaling is used to instruct the first TRP not to send a PRS to the terminal on the first PRS resource set, and the network device may cause the first TRP to not send a PRS to the terminal on the first PRS resource set. And / or, the first request signaling is used to instruct the first TRP to reconfigure the first PRS configuration information according to the PRS muting requirement, and the network device may cause the first PRS configuration information to be reconfigured according to the PRS muting requirement. The PRS muting mode included in the first request signaling is a first mode, and the network device reconfigures the first PRS configuration information according to the first mode. Alternatively, the PRS muting mode included in the first request signaling is a second mode, and the network device reconfigures the first PRS configuration information according to the second mode.

[0152] In the above embodiment, by sending a first request signaling to the network device by the terminal, the terminal can request to perform PRS silencing processing on the first TRP according to the PRS silencing requirement of the terminal. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silencing processing on the first TRP, which is conducive to the terminal triggering PRS silencing configuration on demand, reducing interference between PRSs sent by multiple TRPs, thereby meeting the AI ​​model's data quality requirements and improving positioning accuracy.

[0153] In other embodiments, the network device may not perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal. In one possible implementation, the network device may not perform PRS muting processing on the first TRP, or the network device may independently determine new first PRS muting configuration information, and the new first PRS muting configuration information may fully or partially meet the PRS muting requirement.

[0154] In the above embodiment, since a TRP may send PRS to multiple UEs based on the same PRS configuration, when the TRP receives the first request signaling sent by some of the UEs, the TRP can comprehensively consider the overall network conditions and determine whether the current PRS configuration needs to be adjusted, instead of adjusting the PRS configuration in response to the first request signaling sent by any UE. This is beneficial to improving the overall performance and stability of the network and avoiding unnecessary signaling overhead, that is, avoiding the network equipment from frequently reconfiguring the PRS configuration and notifying the terminal of the new PRS configuration.

[0155] In some embodiments, the network device may send the PRS to the terminal according to the reconfigured first PRS configuration information.

[0156] In some embodiments, the network device may send the PRS to the terminal according to the second PRS configuration information. In some possible implementations, the second PRS configuration information is consistent with the reconfigured first PRS configuration information.

[0157] The communication method involved in the embodiment of the present disclosure may include at least one of steps S401 to 402. For example, step S401 may be implemented as an independent embodiment, and step S402 may be implemented as an independent embodiment.

[0158] In some embodiments, steps S401 and S402 may be performed in an interchangeable order or simultaneously.

[0159] In some embodiments, step S401 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0160] In some embodiments, step S402 is optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0161] In some embodiments, reference may be made to other optional embodiments described before or after the description corresponding to FIG. 4 .

[0162] First, embodiments of the present disclosure provide a method for requesting positioning reference signal muting. Figure 5 is a schematic flow chart illustrating a method for requesting positioning reference signal muting according to an embodiment of the present disclosure. The method for requesting positioning reference signal muting illustrated in this embodiment can be executed by a terminal.

[0163] As shown in FIG5 , the method for requesting positioning reference signal muting may include the following steps:

[0164] In step S501, a first request signaling is sent to a network device, where the first request signaling is used to request a first TRP to perform PRS silencing processing.

[0165] For example, UE#1 may send a first request signaling to the LMF, where the first request signaling is used to request TRP#1 to perform PRS silencing processing.

[0166] It should be noted that the embodiment shown in FIG. 5 can be implemented independently or in combination with at least one other embodiment in the present disclosure. The specific selection can be made as needed and the present disclosure does not limit it.

[0167] Optionally, the network device may receive a first request signaling sent by the terminal. In a further implementation, the network device may perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal; or may not perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal.

[0168] According to an embodiment of the present disclosure, the terminal sends a first request signaling to the network device through the terminal, and the terminal can request the first TRP to perform PRS silencing processing. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silencing processing on the first TRP, which is beneficial for the terminal to trigger the PRS silencing configuration on demand, reduce the interference between the PRSs sent by multiple TRPs, thereby meeting the AI ​​model's quality requirements for data (including but not limited to the original data collected by the terminal, training data in the training phase, input data in the inference phase, etc.), and thus improve positioning accuracy.

[0169] In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal expects the first TRP not to send PRS to the terminal; the terminal expects the first TRP not to send PRS to the terminal on the first PRS resource set; the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silence requirement, and the first PRS configuration information is used for data collection in the artificial intelligence AI model training phase, and the AI ​​model is deployed on the terminal.

[0170] In some embodiments, the first request signaling includes at least one of the following: a TRP identifier, the TRP identifier is used to identify the first TRP; a resource set identifier, the resource set identifier is used to identify the first PRS resource set; a PRS muting mode, the PRS muting mode is used to indicate a PRS muting requirement.

[0171] In some embodiments, the PRS silent mode includes a first mode and / or a second mode; wherein the first mode is used to indicate whether one PRS silent period includes multiple consecutive PRS transmission periods, and whether silent processing is performed on the PRS resource set in each PRS transmission period in each PRS silent period; and the second mode is used to indicate whether one PRS silent period includes one PRS transmission period, and whether silent processing is performed on the repeated instances in the PRS resource set in each PRS silent period.

[0172] In some possible implementations, the dl-PRS-ID IE in the first request signaling may indicate a TRP identifier. The NR-DL-PRS-ResourceSet IE in the first request signaling may indicate a resource set identifier. The DL-PRS-MutingOption1 IE in the first request signaling may indicate that the terminal's desired PRS muting mode is the first mode. The DL-PRS-MutingOption2 IE in the first request signaling may indicate that the terminal's desired PRS muting mode is the second mode. The NR-MutingPattern IE in the first request signaling may indicate the specific content of the first mode or the second mode.

[0173] For example, the IE information that may be included in the first request signaling is as follows:

[0174] In some possible implementations, the first mode may be a mode of muting based on a DL PRS resource set. In the IE information of the above example, the dl-prs-MutingBitRepetitionFactor in the DL-PRS-MutingOption1 IE may indicate the number of PRS transmission periods included in a PRS muting period, and the NR-MutingPattern is a bitmap in which each bit indicates whether each PRS transmission period in the dl-prs-MutingBitRepetitionFactor PRS transmission periods is muted.

[0175] For example, FIG6A is a schematic diagram illustrating a method for performing PRS muting based on a first mode according to an embodiment of the present disclosure. As shown in FIG6A , the dl-prs-MutingBitRepetitionFactor is 4, meaning that a PRS muting period includes four consecutive PRS transmission periods. The NR-MutingPattern may include four bits, wherein the second bit indicates that the corresponding PRS transmission period is muted, and wherein the first, third, and fourth bits indicate that the corresponding PRS transmission period is not muted. That is, the first mode shown in FIG6A indicates that, in every four PRS transmission periods, muting is performed on the DL PRS resource set within the second PRS transmission period (indicated by a small rectangle with an unfilled gray background color).

[0176] In some possible implementations, the second mode may be a muting mode based on repeated instances in a DL PRS resource set. In the above example IE information, NR-MutingPattern is a bitmap, in which each bit indicates whether repeated instances of all resources in a PRS transmission period are muted.

[0177] For example, FIG6B is a schematic diagram illustrating a second pattern for performing PRS muting according to an embodiment of the present disclosure. As shown in FIG6B , a PRS resource set may include four PRS resources and repeated instances of each PRS resource (repeated instances are shown with the same pattern). In this case, the NR-MutingPattern may include eight bits, wherein the third and fifth bits indicate that the corresponding PRS transmission period is muted, and wherein the first, second, fourth, sixth, seventh, and eighth bits indicate that the corresponding PRS transmission period is not muted. That is, the second pattern shown in FIG6B indicates that, within the PRS resource set transmitted within each PRS transmission period, muting is performed on PRS resource #3 and PRS resource #5 (shown by small rectangles with an unfilled gray background color), while muting is not performed on the other resources in each PRS resource set (shown by small rectangles with a filled gray background color).

[0178] In some embodiments, sending a first request signaling to a network device includes: sending a first request signaling to the network device before data collection in an AI model training phase.

[0179] In some embodiments, sending the first request signaling to the network device includes: sending the first request signaling to the network device based on a priori information.

[0180] In some embodiments, sending a first request signaling to a network device includes: after data collection in the AI ​​model training phase begins, in response to the received PRS not meeting the quality requirements of the AI ​​model, sending a first request signaling to the network device.

[0181] In some embodiments, the received PRS does not meet the quality requirements of the AI ​​model, including at least one of the following: the signal-to-noise ratio (SNR) corresponding to the received PRS is less than a first threshold; the signal-to-interference-plus-noise ratio (SINR) corresponding to the received PRS is less than a second threshold.

[0182] In some embodiments, in response to the received PRS not meeting the quality requirements of the AI ​​model, a first request signaling is sent to the network device, including at least one of the following: in response to the PRS received in any PRS transmission period not meeting the quality requirements of the AI ​​model, a first request signaling is sent to the network device; in response to the number of PRS transmission periods in which the PRS received in any PRS silent period does not meet the quality requirements of the AI ​​model exceeds a third threshold, a first request signaling is sent to the network device.

[0183] In some embodiments, the PRS includes a PRS sent on one PRS resource; or, the PRS includes a PRS sent on one PRS resource set; or, the PRS includes a PRS sent on one TRP.

[0184] In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal does not expect to receive the PRS sent by the first TRP after the first time duration; the terminal does not expect to receive the PRS sent by the first TRP on the first PRS resource set after the second time duration; the terminal expects to receive the PRS sent by the first TRP according to the reconfigured first PRS configuration information after the third time duration, and the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

[0185] In some embodiments, the terminal expects that the second PRS configuration information is consistent with the reconfigured first PRS configuration information, and the second PRS configuration information is used in the AI ​​model inference stage.

[0186] It should be noted that, in the above embodiment related to FIG5 , for matters not described in detail, please refer to the embodiment related to FIG4 , and no further description will be given here.

[0187] In a second aspect, embodiments of the present disclosure provide a method for configuring positioning reference signal muting. Figure 7 is a schematic flow chart illustrating a method for configuring positioning reference signal muting according to an embodiment of the present disclosure. The method for configuring positioning reference signal muting illustrated in this embodiment can be executed by a network device.

[0188] As shown in FIG7 , the method for configuring positioning reference signal muting may include the following steps:

[0189] In step S701, a first request signaling sent by a receiving terminal is used to request a first TRP to perform PRS silencing processing.

[0190] For example, the LMF may receive a first request signaling sent by UE#1, where the first request signaling is used to request TRP#1 to perform PRS muting processing.

[0191] It should be noted that the embodiment shown in FIG. 7 can be implemented independently or in combination with at least one other embodiment in the present disclosure. The specific selection can be made as needed and the present disclosure does not limit it.

[0192] Optionally, the terminal sends a first request signaling to the network device.

[0193] According to an embodiment of the present disclosure, the terminal sends a first request signaling to the network device through the terminal, and the terminal can request the first TRP to perform PRS silencing processing. Accordingly, in the case where the AI ​​model is deployed on the UE side, the terminal can actively request the network device to perform PRS silencing processing on the first TRP, which is beneficial for the terminal to trigger the PRS silencing configuration on demand, reduce the interference between the PRSs sent by multiple TRPs, thereby meeting the AI ​​model's quality requirements for data (including but not limited to the original data collected by the terminal, training data in the training phase, input data in the inference phase, etc.), and thus improve positioning accuracy.

[0194] In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal expects the first TRP not to send PRS to the terminal; the terminal expects the first TRP not to send PRS to the terminal on the first PRS resource set; the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silence requirement, and the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

[0195] In some embodiments, the first request signaling includes at least one of the following: a TRP identifier, the TRP identifier is used to identify the first TRP; a resource set identifier, the resource set identifier is used to identify the first PRS resource set; a PRS muting mode, the PRS muting mode is used to indicate a PRS muting requirement.

[0196] In some embodiments, the PRS silent mode includes a first mode and / or a second mode; wherein the first mode is used to indicate whether one PRS silent period includes multiple consecutive PRS transmission periods, and whether silent processing is performed on the PRS resource set in each PRS transmission period in each PRS silent period; and the second mode is used to indicate whether one PRS silent period includes one PRS transmission period, and whether silent processing is performed on the repeated instances in the PRS resource set in each PRS silent period.

[0197] In some embodiments, the first request signaling is sent by the terminal before data collection in the AI ​​model training phase; or, the first request signaling is sent by the terminal after data collection starts in the AI ​​model training phase and the received PRS does not meet the quality requirements of the AI ​​model.

[0198] In some embodiments, the method further includes: performing PRS muting processing on the first TRP according to the PRS muting requirement of the terminal; or, not performing PRS muting processing on the first TRP according to the PRS muting requirement of the terminal.

[0199] In some embodiments, the method further includes: sending the PRS to the terminal according to the reconfigured first PRS configuration information.

[0200] In some embodiments, the method further includes: sending PRS to the terminal according to second PRS configuration information, the second PRS configuration information is used for the AI ​​model inference stage, and the second PRS configuration information is consistent with the reconfigured first PRS configuration information.

[0201] It should be noted that, in the above embodiment related to FIG7 , for matters not described in detail, please refer to the embodiment related to FIG4 and the embodiment related to FIG7 , and no further description will be given here.

[0202] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0203] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.

[0204] In some embodiments, the terms "component carrier (CC)", "cell", "frequency carrier", "carrier frequency" and the like can be used interchangeably.

[0205] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0206] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0207] Corresponding to the aforementioned embodiment of the method for requesting and configuring positioning reference signal muting, the present disclosure also provides an embodiment of an apparatus for requesting and configuring positioning reference signal muting.

[0208] FIG8 is a schematic block diagram of a device for requesting positioning reference signal muting according to an embodiment of the present disclosure. As shown in FIG8 , the device for requesting positioning reference signal muting 800 includes a first transceiver module 801 .

[0209] In some embodiments, the first transceiver module is used to send a first request signaling to a network device, where the first request signaling is used to request the first TRP to perform PRS silencing processing.

[0210] In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal expects the first TRP not to send PRS to the terminal; the terminal expects the first TRP not to send PRS to the terminal on the first PRS resource set; the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silence requirement, and the first PRS configuration information is used for data collection in the artificial intelligence AI model training phase, and the AI ​​model is deployed on the terminal.

[0211] In some embodiments, the first request signaling includes at least one of the following: a TRP identifier, the TRP identifier is used to identify the first TRP; a resource set identifier, the resource set identifier is used to identify the first PRS resource set; a PRS muting mode, the PRS muting mode is used to indicate the PRS muting requirement.

[0212] In some embodiments, the PRS silent mode includes a first mode and / or a second mode; wherein the first mode is used to indicate whether one PRS silent period includes multiple consecutive PRS transmission periods, and whether silent processing is performed on the PRS resource set in each PRS transmission period in each PRS silent period; the second mode is used to indicate whether one PRS silent period includes one PRS transmission period, and whether silent processing is performed on the repeated instances in the PRS resource set in each PRS silent period.

[0213] In some embodiments, the first transceiver module is used to send the first request signaling to the network device before data collection in the AI ​​model training phase.

[0214] In some embodiments, the first transceiver module is configured to send the first request signaling to the network device based on prior information.

[0215] In some embodiments, the first transceiver module is used to send the first request signaling to the network device in response to the received PRS not meeting the quality requirements of the AI ​​model after data collection begins in the AI ​​model training phase.

[0216] In some embodiments, the received PRS does not meet the quality requirements of the AI ​​model, including at least one of the following: the signal-to-noise ratio SNR corresponding to the received PRS is less than a first threshold; the signal to interference plus noise ratio SINR corresponding to the received PRS is less than a second threshold.

[0217] In some embodiments, the first transceiver module is used to send the first request signaling to the network device in response to the PRS received in any PRS transmission period not meeting the quality requirements of the AI ​​model; and / or, the first transceiver module is used to send the first request signaling to the network device in response to the number of PRS transmission periods in which the PRS received in any PRS silent period does not meet the quality requirements of the AI ​​model exceeds a third threshold.

[0218] In some embodiments, the PRS includes a PRS sent on a PRS resource; or, the PRS includes a PRS sent on a PRS resource set; or, the PRS includes a PRS sent on a TRP.

[0219] In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal does not expect to receive the PRS sent by the first TRP after the first time duration; the terminal does not expect to receive the PRS sent by the first TRP on the first PRS resource set after the second time duration; the terminal expects to receive the PRS sent by the first TRP according to the reconfigured first PRS configuration information after the third time duration, and the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

[0220] In some embodiments, the terminal expects that the second PRS configuration information is consistent with the reconfigured first PRS configuration information, and the second PRS configuration information is used in the AI ​​model inference stage.

[0221] FIG9 is a schematic block diagram of a device for configuring positioning reference signal muting according to an embodiment of the present disclosure. As shown in FIG9 , the device for configuring positioning reference signal muting 900 includes a second transceiver module 901 .

[0222] In some embodiments, the second transceiver module is used to receive a first request signaling sent by the terminal, where the first request signaling is used to request the first TRP to perform PRS silencing processing.

[0223] In some embodiments, the first request signaling is used to indicate at least one of the following: the terminal expects the first TRP not to send PRS to the terminal; the terminal expects the first TRP not to send PRS to the terminal on the first PRS resource set; the terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silence requirement, and the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

[0224] In some embodiments, the first request signaling includes at least one of the following: a TRP identifier, the TRP identifier is used to identify the first TRP; a resource set identifier, the resource set identifier is used to identify the first PRS resource set; a PRS muting mode, the PRS muting mode is used to indicate the PRS muting requirement.

[0225] In some embodiments, the PRS silent mode includes a first mode and / or a second mode; wherein the first mode is used to indicate whether one PRS silent period includes multiple consecutive PRS transmission periods, and whether silent processing is performed on the PRS resource set in each PRS transmission period in each PRS silent period; the second mode is used to indicate whether one PRS silent period includes one PRS transmission period, and whether silent processing is performed on the repeated instances in the PRS resource set in each PRS silent period.

[0226] In some embodiments, the first request signaling is sent by the terminal before data collection in the AI ​​model training phase; or, the first request signaling is sent by the terminal after data collection starts in the AI ​​model training phase and the received PRS does not meet the quality requirements of the AI ​​model.

[0227] In some embodiments, the apparatus further comprises a processing module configured to perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal, or not perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal.

[0228] In some embodiments, the apparatus further includes: the second transceiver module, further configured to send the PRS to the terminal according to the reconfigured first PRS configuration information.

[0229] In some embodiments, the device also includes: the second transceiver module, which is also used to send PRS to the terminal according to second PRS configuration information, the second PRS configuration information is used for the AI ​​model inference stage, and the second PRS configuration information is consistent with the reconfigured first PRS configuration information.

[0230] It should be noted that the modules included in the positioning reference signal silence requesting device 800 and / or the positioning reference signal silence configuring device 900 are not limited to the modules described in the above embodiments, and may also include other modules, such as a processing module, a positioning calculation module, a training module, an inference module, a storage module, a display module, etc.

[0231] For the device embodiment, since it basically corresponds to the method embodiment, the relevant parts can be referred to the partial description of the method embodiment. The device embodiment described above is merely illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art can understand and implement it without paying any creative work.

[0232] An embodiment of the present disclosure further proposes a terminal, comprising: one or more processors; wherein the processor is used to call instructions to enable the terminal to execute the positioning reference signal silencing request method described in the first aspect and the optional embodiment of the first aspect.

[0233] An embodiment of the present disclosure further proposes a network device, comprising: one or more processors; wherein the processor is used to call instructions to enable the network device to execute the configuration method for silencing the positioning reference signal as described in the second aspect and the optional embodiment of the second aspect.

[0234] An embodiment of the present disclosure also proposes a communication device, comprising: one or more processors; wherein the processor is used to call instructions to cause the communication device to execute the method for requesting positioning reference signal silencing described in the first aspect and the optional embodiment of the first aspect, and / or the method for configuring positioning reference signal silencing described in the second aspect and the optional embodiment of the second aspect.

[0235] An embodiment of the present disclosure also proposes a communication system, including a terminal and a network device, wherein the terminal is configured to implement the method for requesting positioning reference signal silencing as described in the first aspect and the optional embodiment of the first aspect, and the network device is configured to implement the method for configuring positioning reference signal silencing as described in the second aspect and the optional embodiment of the second aspect.

[0236] An embodiment of the present disclosure further provides a storage medium storing instructions. When the instructions are executed on a communication device, the communication device executes the method for requesting positioning reference signal silencing described in the first aspect and the optional embodiment of the first aspect, and / or the method for configuring positioning reference signal silencing described in the second aspect and the optional embodiment of the second aspect.

[0237] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0238] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0239] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0240] Figure 10 is a schematic diagram of the structure of a communication device 10100 proposed in an embodiment of the present disclosure. Communication device 10100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user device, etc.), a chip, a chip system, or a processor that supports a network device to implement any of the above methods, or a chip, a chip system, or a processor that supports a terminal to implement any of the above methods. Communication device 10100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0241] As shown in Figure 10, the communication device 10100 includes one or more processors 10101. The processor 10101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The processor 10101 is used to call instructions to enable the communication device 10100 to execute any of the above methods.

[0242] In some embodiments, the communication device 10100 further includes one or more memories 10102 for storing instructions. Optionally, all or part of the memory 10102 may be located outside the communication device 10100.

[0243] In some embodiments, the communication device 10100 further includes one or more transceivers 10103. When the communication device 10100 includes one or more transceivers 10103, the communication steps such as sending and receiving in the above method are performed by the transceiver 10103, and the other steps are performed by the processor 10101.

[0244] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0245] Optionally, the communication device 10100 further includes one or more interface circuits 10104, which are connected to the memory 10102. The interface circuits 10104 may be configured to receive signals from the memory 10102 or other devices, and may be configured to send signals to the memory 10102 or other devices. For example, the interface circuits 10104 may read instructions stored in the memory 10102 and send the instructions to the processor 10101.

[0246] The communication device 10100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 10100 described in the present disclosure is not limited thereto, and the structure of the communication device 10100 may not be limited by FIG. 7 . The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0247] FIG11 is a schematic diagram of the structure of a chip 11200 according to an embodiment of the present disclosure. If the communication device 10100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 11200 shown in FIG11 , but the present disclosure is not limited thereto.

[0248] The chip 11200 includes one or more processors 11201 , and the processor 11201 is used to call instructions so that the chip 11200 executes any of the above methods.

[0249] In some embodiments, the chip 11200 further includes one or more interface circuits 11202, which are connected to the memory 11203. The interface circuit 11202 can be used to receive signals from the memory 11203 or other devices, and can be used to send signals to the memory.

[0250] 11203 or other devices to send signals. For example, the interface circuit 11202 can read the instructions stored in the memory 11203 and send the instructions to the processor 11201. Optionally, the terms interface circuit, interface, transceiver pin, transceiver, etc. can be used interchangeably.

[0251] In some embodiments, the chip 11200 further includes one or more memories 11203 for storing instructions. Alternatively, all or part of the memories 11203 may be located outside the chip 11200.

[0252] The present disclosure also provides a storage medium having instructions stored thereon. When the instructions are executed on the communication device 10100, the communication device 10100 is caused to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

[0253] The present disclosure also provides a program product, which, when executed by the communication device 10100, enables the communication device 10100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0254] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. A method for requesting positioning reference signal silencing, characterized in that: The method comprises: A first request signaling is sent to a network device, where the first request signaling is used to request a first transmission point TRP to perform positioning reference signal PRS muting processing.

2. The method according to claim 1, characterized in that The first request signaling is used to indicate at least one of the following: The terminal expects that the first TRP does not send a PRS to the terminal; The terminal expects that the first TRP does not send a PRS to the terminal on a first PRS resource set; The terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silence requirement, and the first PRS configuration information is used for data collection during the artificial intelligence AI model training phase, and the AI ​​model is deployed on the terminal.

3. The method according to claim 2, characterized in that The first request signaling includes at least one of the following: A TRP identifier, where the TRP identifier is used to identify the first TRP; A resource set identifier, where the resource set identifier is used to identify the first PRS resource set; A PRS muting mode is used to indicate the PRS muting requirement.

4. The method according to claim 3, characterized in that The PRS silent mode includes a first mode and / or a second mode; wherein, The first mode is used to indicate whether a PRS silent period includes multiple consecutive PRS transmission periods, and whether to perform silent processing on a PRS resource set in each PRS transmission period in each PRS silent period; The second mode is used to indicate that one PRS silent period includes one PRS transmission period, and whether to perform silent processing on repeated instances in a PRS resource set in each PRS silent period.

5. The method according to any one of claims 1 to 4, characterized in that The sending of the first request signaling to the network device includes: Before data collection in the AI ​​model training phase, the first request signaling is sent to the network device.

6. The method according to claim 5, characterized in that The sending of the first request signaling to the network device includes: The first request signaling is sent to the network device based on the priori information.

7. The method according to any one of claims 1 to 4, characterized in that The sending of the first request signaling to the network device includes: After data collection in the AI ​​model training phase begins, in response to the received PRS not meeting the quality requirements of the AI ​​model, the first request signaling is sent to the network device.

8. The method according to claim 7, characterized in that The received PRS does not meet the quality requirements of the AI ​​model, including at least one of the following: The signal-to-noise ratio (SNR) corresponding to the received PRS is less than a first threshold; A signal to interference plus noise ratio SINR corresponding to the received PRS is less than a second threshold.

9. The method according to any one of claims 7 to 8, characterized in that The sending, in response to the received PRS not meeting the quality requirement of the AI ​​model, the first request signaling to the network device, includes at least one of the following: In response to a PRS received in any PRS transmission period not meeting the quality requirement of the AI ​​model, sending the first request signaling to the network device; In response to the number of PRS transmission periods in which the PRS received in any PRS silent period does not meet the quality requirements of the AI ​​model exceeding a third threshold, the first request signaling is sent to the network device.

10. The method according to any one of claims 7 to 9, characterized in that The PRS includes a PRS transmitted on one PRS resource; or, the PRS includes a PRS transmitted on one PRS resource set; or, the PRS includes a PRS transmitted on one TRP.

11. The method according to any one of claims 7 to 10, characterized in that The first request signaling is used to indicate at least one of the following: The terminal does not expect to receive the PRS sent by the first TRP after the first duration; The terminal does not expect to receive the PRS sent by the first TRP on the first PRS resource set after the second duration; After the third time period, the terminal expects to receive the PRS sent by the first TRP according to the reconfigured first PRS configuration information, where the first PRS configuration information is used for data collection during the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

12. The method according to any one of claims 5 to 11, characterized in that The terminal expects that the second PRS configuration information is consistent with the reconfigured first PRS configuration information, and the second PRS configuration information is used in the AI ​​model inference stage.

13. A method for configuring positioning reference signal muting, characterized in that: The method comprises: The first request signaling sent by the receiving terminal is used to request the first TRP to perform PRS silencing processing.

14. The method according to claim 13, wherein: The first request signaling is used to indicate at least one of the following: The terminal expects that the first TRP does not send a PRS to the terminal; The terminal expects that the first TRP does not send a PRS to the terminal on a first PRS resource set; The terminal expects the first TRP to reconfigure the first PRS configuration information according to the PRS silence requirement, and the first PRS configuration information is used for data collection in the AI ​​model training phase, and the AI ​​model is deployed on the terminal.

15. The method according to claim 14, characterized in that The first request signaling includes at least one of the following: A TRP identifier, where the TRP identifier is used to identify the first TRP; A resource set identifier, where the resource set identifier is used to identify the first PRS resource set; A PRS muting mode is used to indicate the PRS muting requirement.

16. The method according to claim 15, characterized in that The PRS silent mode includes a first mode and / or a second mode; wherein, The first mode is used to indicate whether a PRS silent period includes multiple consecutive PRS transmission periods, and whether to perform silent processing on a PRS resource set in each PRS transmission period in each PRS silent period; The second mode is used to indicate that one PRS silent period includes one PRS transmission period, and whether to perform silent processing on repeated instances in a PRS resource set in each PRS silent period.

17. The method according to any one of claims 13 to 16, characterized in that The first request signaling is sent by the terminal before data collection in the AI ​​model training phase; or, The first request signaling is sent by the terminal after data collection starts in the AI ​​model training phase and the received PRS does not meet the quality requirements of the AI ​​model.

18. The method according to any one of claims 13 to 17, characterized in that The method further comprises: Perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal; or do not perform PRS muting processing on the first TRP according to the PRS muting requirement of the terminal.

19. The method according to claim 18, characterized in that The method further comprises: The PRS is sent to the terminal according to the reconfigured first PRS configuration information.

20. The method according to claim 19, wherein The method further comprises: A PRS is sent to the terminal according to second PRS configuration information, where the second PRS configuration information is used in the AI ​​model inference phase, and the second PRS configuration information is consistent with the reconfigured first PRS configuration information.

21. A positioning reference signal silencing request device, characterized in that: The device comprises: The first transceiver module is used to send a first request signaling to the network device, where the first request signaling is used to request the first TRP to perform PRS silencing processing.

22. A device for configuring positioning reference signal muting, characterized in that: The device comprises: The second transceiver module is used to receive a first request signaling sent by the terminal, where the first request signaling is used to request the first TRP to perform PRS silencing processing.

23. A terminal, characterized in that: include: one or more processors; The terminal is configured to execute the positioning reference signal silencing request method according to any one of claims 1 to 12.

24. A network device, characterized in that: include: one or more processors; The network device is used to execute the positioning reference signal silencing configuration method according to any one of claims 13 to 20.

25. A communication system, characterized in that: The method comprises a terminal and a network device, wherein the terminal is configured to implement the method for requesting positioning reference signal silencing according to any one of claims 1 to 12, and the network device is configured to implement the method for configuring positioning reference signal silencing according to any one of claims 13 to 20.

26. A storage medium storing instructions, characterized in that: When the instruction is executed on a communication device, the communication device is enabled to execute the positioning reference signal muting request method according to any one of claims 1 to 12 or the positioning reference signal muting configuration method according to any one of claims 13 to 20.

Images