Information transmission method and apparatus, user equipment, and network side device

Abstract

The present application relates to the technical field of communications and discloses an information transmission method and apparatus, a user equipment (UE), and a network side device. The information transmission method of the present application comprises: in a first time period from a first time unit to a second time unit, a UE uses first beam information to perform information transmission, wherein the first time period is determined on the basis of a performance monitoring result of a first AI model used by the UE, or the first time period is a time period in which a first operation related to the first AI model is performed. In this way, beam information used for information transmission with a network side device can be determined, and the beam information can be applied to a situation where the performance of an AI model degrades or an AI model does not match the current environment.

Description

Information transmission method, device, user equipment and network side equipment

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to the Chinese patent application filed with the China Patent Office on December 26, 2023, with application number 202311813536.0 and titled “A method, device, user equipment and network side equipment for information transmission”, the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The present application belongs to the field of communication technology, and specifically relates to an information transmission method, device, user equipment and network side equipment. Background Art

[0004] When a user equipment (UE) communicates with a network-side device (e.g., a base station, test equipment), in the absence of indicated beam information or before the indicated beam information takes effect, a beam information specified in the protocol is used as Quasi Co-Location (QCL) information for information transmission.

[0005] The protocol specifies that beam information can be predicted by the UE using an artificial intelligence (AI) model as QCL information. However, the beam information predicted by the UE using the AI ​​model may not be applicable in some situations (for example, when the AI ​​model performance degrades or the AI ​​model does not match the current environment). Therefore, determining the beam information used for information transmission with network-side devices is a technical problem that needs to be solved. Summary of the Invention

[0006] The embodiments of the present application provide an information transmission method, apparatus, user equipment, and network-side equipment, which can determine the beam information used for information transmission with the network-side equipment. This beam information can be applicable to situations such as AI model performance degradation or AI model mismatch with the current environment.

[0007] In a first aspect, a method for transmitting information is provided, the method comprising:

[0008] The user equipment UE uses the first beam information to transmit information in a first time period from the first time unit to the second time unit, where the first time period is determined based on a performance monitoring result of a first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0009] In a second aspect, an information transmission method is provided, the method comprising:

[0010] The network side device uses the first beam information to transmit information with the user equipment UE within a first time period from the first time unit to the second time unit, where the first time period is determined based on the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0011] In a third aspect, an information transmission device is provided, the device comprising:

[0012] A first transmission module is configured to transmit information using first beam information within a first time period from a first time unit to a second time unit, where the first time period is determined based on a performance monitoring result of a first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0013] In a fourth aspect, an information transmission device is provided, the device comprising:

[0014] A second transmission module is configured to transmit information with a user equipment UE using first beam information within a first time period from the first time unit to the second time unit, where the first time period is determined based on a performance monitoring result of a first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0015] In a fifth aspect, a user device is provided, which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the first aspect are implemented.

[0016] In a sixth aspect, a network side device is provided, which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the second aspect are implemented.

[0017] In a seventh aspect, a readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect or the second aspect are implemented.

[0018] In an eighth aspect, a chip is provided, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the steps of the method described in the first aspect or the second aspect.

[0019] In a ninth aspect, a computer program / program product is provided, wherein the computer program / program product is stored in a storage medium, and the program / program product is executed by at least one processor to implement the steps of the method described in the first aspect or the second aspect.

[0020] In an embodiment of the present application, the user equipment UE uses the first beam information to transmit information in a first time period from the first time unit to the second time unit, and the first time period is determined based on the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model. In order to determine the situation where the performance of the AI ​​model is degraded or the AI ​​model does not match the current environment, the present application proposes to use the performance monitoring result of the first AI model as one of the considerations for using the first beam information to transmit information in the first time period, or to use the execution of the first operation related to the first AI model as one of the considerations for using the first beam information to transmit information in the first time period. In this way, the embodiment of the present application considers one or more factors to determine the beam information used for information transmission with the network side device, so that the beam information can be applicable to situations where the performance of the AI ​​model is degraded or the AI ​​model does not match the current environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] FIG1 is a block diagram of a wireless communication system to which embodiments of the present application may be applied;

[0022] FIG2 is a schematic diagram of an AI model beam prediction method in an embodiment of the present application;

[0023] FIG3 is a flow chart of an information transmission method according to an embodiment of the present application;

[0024] FIG4 is a flow chart of another information transmission method in an embodiment of the present application

[0025] FIG5 is a schematic diagram of an information transmission device according to an embodiment of the present application;

[0026] FIG6 is a schematic diagram of another information transmission device in an embodiment of the present application;

[0027] FIG7 is a schematic structural diagram of a communication device in an embodiment of the present application;

[0028] FIG8 is a schematic structural diagram of a terminal in an embodiment of the present application;

[0029] FIG9 is a schematic structural diagram of a network-side device in an embodiment of the present application. DETAILED DESCRIPTION

[0030] The following will be combined with the accompanying drawings in the embodiments of this application to clearly describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0031] The terms "first," "second," and the like in this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable, where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein. Furthermore, the objects distinguished by "first" and "second" generally refer to a class and do not limit the number of objects. For example, the first object can be one or more. Furthermore, "or" in this application represents at least one of the connected objects. For example, the scope of protection for "A or B" covers at least three options: Option 1: includes A but not B; Option 2: includes B but not A; and Option 3: includes both A and B. Furthermore, the terms "A and / or B," "at least one of A and B," and "at least one of A or B" also cover at least the above three options, respectively. The character " / " generally indicates that the objects associated with each other are in an "or" relationship.

[0032] The term "indication" in this application can be either a direct indication (or explicit indication) or an indirect indication (or implicit indication). A direct indication can be understood as the sender explicitly informing the receiver of specific information, the operation to be performed, or the requested result, etc. in the instruction sent; an indirect indication can be understood as the receiver determining the corresponding information based on the instruction sent by the sender, or making a judgment and determining the operation to be performed or the requested result, etc. based on the judgment result.

[0033] It is worth noting that the technology described in the embodiments of the present application is not limited to the Long Term Evolution (LTE) / LTE-Advanced (LTE-A) system, but can also be used in other wireless communication systems, such as Code Division Multiple Access (CDMA), Time Division Multiple Access (TDMA), Frequency Division Multiple Access (FDMA), Orthogonal Frequency Division Multiple Access (OFDMA), Single-carrier Frequency-Division Multiple Access (SC-FDMA) or other systems. The terms "system" and "network" in the embodiments of the present application are often used interchangeably, and the technology described can be used for the systems and radio technologies mentioned above, as well as for other systems and radio technologies. The following description describes a New Radio (NR) system for illustrative purposes, and NR terminology is used in most of the following description, but these technologies can also be applied to systems other than NR systems, such as 6th generation (6G) systems. th Generation, 6G) communication system.

[0034] FIG1 is a block diagram of a wireless communication system applicable to an embodiment of the present application. The wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 may be a mobile phone, a tablet computer, a laptop computer, a notebook computer, a personal digital assistant (PDA), a handheld computer, a netbook, an ultra-mobile personal computer (UMPC), a mobile internet device (MID), an augmented reality (AR), a virtual reality (VR) device, a robot, a wearable device, an aircraft, a vehicle user equipment (VUE), a ship-borne device, a pedestrian user equipment (PUE), a smart home (a household appliance with wireless communication capabilities, such as a refrigerator, a television, a washing machine, or furniture), a game console, a personal computer (PC), a teller machine, or a self-service machine, or other terminal-side device. Wearable devices include: smart watches, smart bracelets, smart headphones, smart glasses, smart jewelry (smart bracelets, smart bracelets, smart rings, smart necklaces, smart anklets, smart anklets, etc.), smart wristbands, smart clothing, etc. Among them, the vehicle-mounted device can also be called a vehicle-mounted terminal, a vehicle-mounted controller, a vehicle-mounted module, a vehicle-mounted component, a vehicle-mounted chip or a vehicle-mounted unit, etc. It should be noted that the specific type of the terminal 11 is not limited in the embodiment of the present application. The network side device 12 may include an access network device or a core network device, wherein the access network device may also be called a radio access network (Radio Access Network, RAN) device, a radio access network function or a radio access network unit. The access network device may include a base station, a wireless local area network (WLAN) access point (AP) or a wireless fidelity (WiFi) node, etc.Among them, the base station can be referred to as Node B (NB), Evolved Node B (eNB), the next generation Node B (gNB), New Radio Node B (NR Node B), access point, Relay Base Station (RBS), Serving Base Station (SBS), Base Transceiver Station (BTS), radio base station, radio transceiver, Basic Service Set (BSS), Extended Service Set (ESS), Home Node B (HNB), Home evolved Node B (home evolved Node B), Transmit / Receive Point (TRP) or other appropriate terms in the relevant field. As long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary. It should be noted that in the embodiment of the present application, only the base station in the NR system is used as an example for introduction, and the specific type of the base station is not limited.

[0035] The core network equipment may include but is not limited to at least one of the following: core network node, core network function, mobility management entity (MME), access mobility management function (AMF), session management function (SMF), user plane function (UPF), policy control function (PCF), policy and charging rules function unit (PCRF), edge application service discovery function (EASDF), unified data management (UDM), unified data repository (UDR), home user server (HSS), centralized network configuration (CNC), network storage function (NRF), network exposure function (NEF), local NEF (L-NEF), binding support function (BSF), application function ( It should be noted that in the embodiments of the present application, only the core network device in the NR system is introduced as an example, and the specific type of the core network device is not limited.

[0036] To facilitate understanding of the technical solutions provided by this application, the main technical concepts involved in the embodiments of this application are briefly described below.

[0037] Using AI models for beam prediction:

[0038] When using the AI ​​model for beam prediction, the Reference Signal Received Power (RSRP) of a subset of beam pairs is used as input, and the AI ​​model outputs the RSRP results for all beam pairs. A beam pair consists of a transmit beam and a receive beam. The AI ​​model's input is the number of selected beam pairs, and its output is the number of all beam pairs.

[0039] In one AI model beam prediction method, contextual information is added to the AI ​​model's input. This contextual information typically includes angle-related information corresponding to the selected beam pairs used for input, as well as beam ID information. Therefore, the number of inputs to this AI model is still related to the number of selected beam pairs, and the number of outputs is still equal to the number of all beam pairs. Based on this, an improved AI model beam prediction method influences the AI ​​model's output by changing the expected information within the AI ​​model.

[0040] Among them, the input type of the AI ​​unit includes at least one of the following: information related to beam quality; beam information; beam information sent by end A; beam information received by end B; beam information expected by end B; beam information received by end B expected by end B; beam information sent by end A expected by end B; time-related information related to beam quality; expected predicted time-related information.

[0041] Beam indication effective time:

[0042] (1) For the Physical Downlink Control Channel (PDCCH)

[0043] If the UE receives a Multiple Access Channel Control Element (MAC CE) activation command indicating a validation event, and one of the TCI states is present, the UE validates the activation command from , where k is the timeslot in which the UE sends a PUCCH with HARQ-ACK for the PDSCH providing the activation command (i.e., HARQ-ACK for the activated MAC CE), and u is the SCS of the PDCCH. The activated carrier bandwidth (BWP) is defined as the BWP activated in the timeslot in which the activation command takes effect.

[0044] (2) For Physical Downlink Shared Channel (PDSCH)

[0045] MAC-CE activation effective time, the effective time of PUCCH with HARQ / ACK (corresponding to PDSCH, the activation command carried by MAC CE) in slot n, that is, the mapping relationship between the Transmission Configuration Indication state (TCI state) and the DCI TCI field becomes effective The first time slot after that, where μ is the subcarrier spacing (SCS) of PUCCH, that is, the MAC CE activation command becomes effective 3 ms after the corresponding HARQ / ACK.

[0046] Downlink Control Information (DCI) effective time, if tci-PresentInDCI is enabled or tci-PresentDCI-1-2 is configured in the CORESET scheduling PDSCH, the time offset between receiving DCI and the scheduled PDSCH should be greater than or equal to timeDurationForQCL (if this parameter is reported).

[0047] If the PDCCH carrying the scheduling DCI is received on one Call control (CC), and the scheduled PDSCH is on another CC, that is, in the case of cross-carrier scheduling, timeDUrationForQCL is determined according to the SCS of the scheduled PDSCH. If u_PDCCH < u_PDSCH, an additional

[0048] unified TCI effective time:

[0049] If only one codepoint-activated TCI state in the MAC CE, the effective time is the same as the legacy effective time; if multiple codepoint-activated TCI states in the MAC CE, the effective time of the TCI indicated in the DCI is the first time slot after Y symbols after receiving the ACK corresponding to the DCI activation command, and the gap between this effective slot and the last symbol of the DCI used for this beam indication needs to meet the UE capability. The Y symbols are configured by the network according to the UE-reported capability. For Carrier Aggregation (CA), the above first slot and Y symbols both depend on the carrier with the smallest SCS in the CA.

[0050] Default beam application:

[0051] (1) For PDCCH

[0052] For the case of CORESET 0, in the case of non-unified TCI and before the MAC CE activation command for indicating TCI information takes effect, or, in the case of unified TCI and before the DCI set command for indicating TCI information takes effect and the SSB QCL, it is the SSB identified by the UE in the most recent contention-free random access procedure triggered by a non-PDCCH command, or the SSB identified in the most recent CG PUSCH transmission (inactive).

[0053] For the non-CORESET 0 case, if the UE has not provided the TCI state configuration for the CORESET via tci-StatesPDCCH-ToAddList and tci-StatesPDCCH-ToReleaseList, or has provided the CORESET with the initial configuration of more than one TCI state via tci-StatesPDCCH-ToAddList and tci-StatesPDCCH-ToReleaseList but has not received a MAC CE command to activate a TCI, the UE assumes that the DMRS port corresponding to the PDCCH reception is the same as the SSB QCL of the UE in the initial access procedure or the most recent CG PUSCH (PUSCH transmission in RRC inactive) transmission QCL with the same HARQ ACK. If the UE reconfiguration with sync procedure provides the CORESET with the configuration of more than one TCI state(s) via tci-StatesPDCCH-ToAddList and tci-StatesPDCCH-ToReleaseList, and without receiving a MAC CE to activate a TCI state, the UE assumes that the DMRS port corresponding to the PDCCH reception is the Synchronization Signal Block (SSB) or CSI-RS resource QCL identified by the UE in the random access procedure triggered by the reconfiguration with sync procedure.

[0054] (2) For PDCCH

[0055] The RRC configures multiple TCI information. Before the MAC CE is activated, the RRC parameter indicates that the TCI field in the DCI is not in effect or does not include the TCI field, and the QCL of the PDSCH follows the SSB at initial access.

[0056] The RRC configures multiple TCIs and activates multiple MAC CEs. However, the RRC parameter indicates that the TCI field in the DCI is in effect or includes the TCI field. If the time when the DCI schedules the PDSCH is less than or equal to the time duration for QCL, the QCL of the PDSCH follows the SSB at initial access.

[0057] If the UE is not provided with dl - orJointTCI - statlist - Rel17, and if the offset between the DL DCI and the corresponding PDSCH < timeDurationForQCL, and at least one TCI state including type D is configured on the serving cell of the scheduled PDSCH. QCL to PDCCH: serving cell, activated DL BWP, observed time slot = the most recent time slot with one or more monitored CORESETs, CORESET ID = the CORESET with the smallest ID on the observed time slot; If the UE is configured with enableDefaultTCIStatePerCoresetPoolIndex(M - DCI), when multiple CORESETs in the UE's PDCCH - Config are configured with two different CORESETPoolIndex values, it is similar to the above, but the only difference is to only look at the smallest CORESET ID with the same CORESET pool index; If the UE is configured with enableTwoDefaultTCI - States(S - DCI), and when at least one TCI codepoint indicates 2 TCI states, the UE assumes that the DMRS ports or PDSCH transmission occasions of the PDSCH in a serving cell are QCL with the RS corresponding to the lowest codepoint carrying two different TCI states in the TCI codepoint; If the UE is not configured with sfnSchemePdsch, and sfnSchemePdcch ='sfnSchemeA', and the activation command does not include the TCI codepoint with two TCI states, and the CORESET with the lowest ID in the most recent time slot is indicated to have two TCI states, the DM - RS ports of the PDSCH in the serving cell are quasi - co - located with the first TCI state in the two TCI states indicated for the CORESET.

[0058] If the UE provides dl-OrJointTCI-StateList-r17 (unified TCI mode), and if the offset between the DL DCI and the corresponding PDSCH < timeDurationForQCL, and at least one TCI state of type D is configured on the serving cell of the scheduled PDSCH. If the indicated TCI state (previous TCI) is associated with the PCI of the serving cell, the indicated TCI state is applied to receive the PDSCH; if the indicated TCI state is associated with the PCI of a non-serving cell, the UE assumes that the DM-RS ports of the PDSCH(s) of the serving cell are QCL with the RS(s) of the CORESET associated with the search space having the lowest controlResourceSetId with respect to the QCL parameters for the PDCCH.

[0059] For cross-carrier scheduling of PDSCH, if the offset between the DL DCI and the corresponding PDSCH < timeDurationForQCL, the UE assumes that the DM-RS ports of the PDSCH(s) of the serving cell are the same as the TCI state with the smallest ID among the active TCI states on the active DL BWP on the PDSCH carrier.

[0060] The current behavior of applying the default beam information agreed upon in the protocol is to use a beam information specified in the protocol as the QCL information when there is no indicated beam information or before the indicated beam information becomes effective. The beam information specified in the protocol can be the beam information predicted by the UE using an AI model as the QCL information. However, when the UE uses the beam information predicted by the AI model, it is not applicable in some cases (such as: the performance of the AI model deteriorates or the AI model does not match the current environment, etc.). Therefore, how to determine the beam information used for information transmission with the network-side device is a technical problem that needs to be solved.

[0061] Therefore, an embodiment of the present application provides an information transmission method, in which the UE uses the first beam information to transmit information in a first time period from the first time unit to the second time unit, and the first time period is determined based on the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model. In order to determine the situation where the performance of the AI ​​model is degraded or the AI ​​model does not match the current environment, the present application proposes to use the performance monitoring result of the first AI model as one of the considerations for using the first beam information for information transmission in the first time period, or to use the execution of the first operation related to the first AI model as one of the considerations for using the first beam information for information transmission in the first time period. In this way, the embodiment of the present application considers one or more factors to determine the beam information used for information transmission with the network side device, so that the beam information can be applicable to situations where the performance of the AI ​​model is degraded or the AI ​​model does not match the current environment.

[0062] In a first aspect of an embodiment of the present application, a method for information transmission is provided. The method is applied to a user equipment. FIG3 is a flowchart of an implementation of the method for information transmission provided in an embodiment of the present application. The method may include the following steps:

[0063] Step S310: The user equipment UE uses the first beam information to transmit information within a first time period from the first time unit to the second time unit, where the first time period is determined based on the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0064] In the embodiment of the present application, the user equipment may be the terminal equipment 11 in FIG1 . For an example of the terminal equipment 11 , please refer to the above text and will not be described in detail here.

[0065] Among them, the first AI model refers to the AI ​​model used by the UE for beam information prediction. The AI ​​model can also be called an AI unit, AI structure, etc. The AI ​​model can also refer to a processing unit that can implement specific algorithms, formulas, processing procedures, capabilities, etc. related to AI. The AI ​​model can be a processing method, algorithm, function, module or unit for a specific data set, or a processing method, algorithm, function, module or unit running on AI-related hardware such as GPU, NPU, TPU, ASIC, etc. The embodiment of the present application does not specifically limit this. In one example, the specific data set includes the input and / or output of the AI ​​model. Optionally, the identifier of the AI ​​model can be an AI unit identifier, an AI structure identifier, an AI algorithm identifier, or an identifier of a specific data set associated with the AI ​​model, or an identifier of the specific scenario, environment, channel characteristics, or device related to the AI, or an identifier of a function, feature, capability or module related to the AI ​​model. The embodiment of the present application does not specifically limit this.

[0066] The first beam information includes at least one of the following: beam ID information, beam angle information, beam gain information, beam width information, expectation information, beam quality information, etc.

[0067] Among them, the beam ID information is used to characterize the relevant information of the beam identification, and the beam ID includes at least one of the following: transmitting beam ID, receiving beam ID, beam ID, reference signal set ID corresponding to the beam, reference signal resource ID corresponding to the beam, uniquely identified random ID, coded value after additional AI network processing, beam angle information, resource index information, resource ID, resource set ID, CSI reference signal resource indicator (CSI-RS Resource Indicator, CSI reference signal resource indicator, where CSI is channel state information Channel State Information), SSB resource indicator (SS / PBCH Block Resource Indicator, SSBRI), TCI state, etc.

[0068] Beam angle information is used to represent the angle information corresponding to the beam, and includes at least one of the following: angle information, transmit angle information, and receive angle information. Angle information is information related to angle or identity, such as angle, radian, index code value, ID value, and code value processed by an additional AI unit.

[0069] Beam quality information includes at least one of the following types: L1 signal to interference plus noise ratio (L1-SINR), L1 reference signal received power (L1-RSRP), L1 reference signal received quality (L1-RSRQ), L3 signal to interference plus noise ratio (L3-SINR), L3 reference signal received power (L3-RSRP), and L3 reference signal received quality (L3-RSRQ).

[0070] In an embodiment of the present application, the first beam information is used to transmit information in a first time period from the first time unit to the second time unit, that is, the first time unit is the time unit for starting to use the first beam information for information transmission, and the second time unit is the time unit for stopping using the first beam information for information transmission. The use of the first beam information in the first time period is related to one or more considerations. In some embodiments, a consideration for using the first beam information in the first time period is: a performance monitoring result of the first AI model used by the UE. In some embodiments, a consideration for using the first beam information in the first time period is: performing a first operation related to the first AI model. In some embodiments, the consideration for using the first beam information in the first time period includes: a performance monitoring result of the first AI model used by the UE, or performing a first operation related to the first AI model.

[0071] The embodiments of the present application take into account one or more factors to determine the beam information used for information transmission with the network side device, so that the beam information can be applicable to situations such as the AI ​​model performance degradation or the AI ​​model does not match the current environment. Specifically, since the performance monitoring result of the first AI model is taken as one of the considerations for using the first beam information for information transmission within the first time period, the first beam information can be used for information transmission when the performance of the first AI model is degraded; since the execution of the first operation related to the first AI model is taken as one of the considerations for using the first beam information for information transmission within the first time period, the first beam information can be used for information transmission when the first operation of the first AI model is executed (for example, model switching). Therefore, in situations such as the AI ​​model performance degradation or the AI ​​model does not match the current environment, the beam information used for information transmission with the network side device can be determined.

[0072] In a specific implementation, the UE uses the first beam information to transmit information, including:

[0073] The UE uses the first beam information to transmit information when a first condition is met, where the first condition includes at least one of the following:

[0074] Item F-1: A first operation related to the first AI model needs to be performed;

[0075] Item F-2: The performance monitoring results of the first AI model do not meet the preset requirements.

[0076] In an embodiment of the present application, it is necessary to perform a first operation related to the first AI model, or the performance monitoring result of the first AI model does not meet the preset requirements, indicating that the beam information predicted by the first AI model may be inaccurate at this time, so the UE needs to use the first beam information for information transmission.

[0077] In some embodiments, the UE uses the first beam information to transmit information, which can be triggered when the performance monitoring result of the first AI model does not meet the preset requirements, or when the first AI model does not match the current environment and thus needs to perform a first operation related to the first AI model.

[0078] In a specific embodiment, the preset requirement is a model performance-related indicator or a system performance indicator determined based on at least one of the following:

[0079] Item G-1: Agreement;

[0080] Item G-2: Network-side device configuration information;

[0081] Item G-3: the result reported by the UE.

[0082] In an embodiment of the present application, the preset requirement is a pre-set indicator or requirement (requirement), and the performance monitoring result of the AI ​​model is judged to be good or bad according to the preset requirement. For example, the performance monitoring result that meets the preset requirement is confirmed to be good, and the performance monitoring result that does not meet the preset requirement is confirmed to be bad. The preset requirement can be determined by at least one of the above items G-1 to G-3. Among them, the result reported by the UE in item G-3 refers to: the UE reports the AI ​​model performance monitoring result, or the UE reports the model prediction result, and then the network side device confirms the AI ​​model performance indicator based on the result reported by the UE.

[0083] In a specific embodiment, the first operation related to the first AI model includes at least one of the following:

[0084] Item A-1: ​​Switch the first AI model to a second AI model;

[0085] A-2: Activate the second AI model;

[0086] Item A-3: Fine-tune the first AI model;

[0087] Item A-4: Reactivate the first AI model;

[0088] Item A-5: Deactivate the first AI model;

[0089] Item A-6: Switch the model function of the first AI model.

[0090] Specifically, for item A-1, multiple AI models for beam prediction (such as a first AI model and a second AI model) are deployed in the UE. When the performance monitoring results of the first AI model do not meet the preset requirements, or the first AI model does not match the current environment, the first AI model can be switched to the second AI model, and the UE subsequently uses the second AI model for beam prediction.

[0091] For item A-2, when the second AI model is not used, the second AI model is in an inactive state. When the UE needs to use the second AI model for beam prediction, the second AI model can be activated, and the UE can subsequently use the activated second AI model for beam prediction.

[0092] For item A-3, when the performance monitoring results of the first AI model do not meet the preset requirements, or the first AI model does not match the current environment, the first AI model is fine-tuned so that the performance monitoring results of the first AI model meet the preset requirements or match the current environment. The UE then uses the fine-tuned first AI model for beam prediction.

[0093] For item A-4, the performance monitoring results of the first AI model do not meet the preset requirements, which may be due to the failure of some functions of the first AI model. Therefore, the first AI model can be reactivated, and the UE uses the reactivated first AI model for beam prediction.

[0094] For item A-5, when the UE does not use the first AI model for beam prediction, the first AI model is deactivated; if the UE subsequently needs to use the first AI model for beam prediction, the first AI model needs to be activated.

[0095] Regarding item A-6, the first AI model includes multiple model functions. When the UE uses the first AI model for beam prediction, it is the model function of the first AI model that performs beam prediction. When the performance monitoring result of the first AI model does not meet the preset requirements, or the current model function of the first AI model does not match the current environment, the model function of the first AI model is switched to improve the performance of the first AI model or to match the function of the first AI model with the environment. The UE subsequently performs beam prediction based on the switched model function.

[0096] In a specific embodiment, the first time unit includes at least a time unit determined according to at least one of the following:

[0097] Item B-1: The UE receives signaling of the first target operation;

[0098] Item B-2: The UE sends a request for the first target operation, or the network-side device receives the request for the first target operation;

[0099] Item B-3: the UE sends information about the first target operation;

[0100] Item B-4: The UE starts to perform the first target operation;

[0101] Item B-5: The network-side device sends confirmation information for the request for the first target operation;

[0102] Item B-6: The UE determines that the performance monitoring result of the first AI model does not meet preset requirements;

[0103] Item B-7: The performance monitoring result of the first AI model reported by the UE to the network-side device does not meet the preset requirements, or the performance monitoring result of the first AI model received by the network-side device does not meet the preset requirements;

[0104] Item B-8: The UE requests the network device to report fallback beam information;

[0105] Item B-9: The UE reports the performance monitoring result of the first AI model to the network-side device;

[0106] Item B-10: The network-side device sends confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements;

[0107] The first target operation is any one of the first operations.

[0108] In this embodiment of the present application, the first time period from the first time unit to the second time unit is determined based on the performance monitoring results of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model. Therefore, the first time unit is related to the time unit determined in at least one of items B-1 to B-10 above.

[0109] Specifically, for item B-1, the signaling of the first target operation is sent by the network-side device to notify the UE to perform the first target operation. After receiving the signaling of the first target operation, the UE performs the first target operation. For example, if the first target operation is to activate the second AI model, the UE activates the second AI model after receiving the signaling to activate the second AI model. In order to ensure that information can be transmitted normally between the UE and the network-side device during the execution of the first target operation, the time when the UE receives the signaling of the first target operation can be used as the first time unit, that is, the first beam information is started to be used for information transmission.

[0110] For item B-2, the UE sends a request for the first target operation to the network side device to request to perform the first target operation. The time when the UE sends the request for the first target operation to the network side device and the time when the network side device receives the request for the first target operation are the same time. In order to ensure that information can be transmitted normally between the UE and the network side device during the execution of the first target operation, the time when the UE sends the request for the first target operation, or the moment when the network side device receives the request for the first target operation, can be used as the first time unit.

[0111] For item B-3, the information of the first target operation refers to the relevant information for performing the first target operation, and the first target operation is performed based on the information of the first target operation. For example, if the first target operation is to switch the model function of the first AI model, the information of the first target operation includes the identifier of the first AI model, the identifier of the module function to be switched, etc. The UE sends the information of the first target operation to perform the first target operation. In order to ensure that information can be transmitted normally between the UE and the network side device during the execution of the first target operation, the time when the UE sends the information of the first target operation can be used as the first time unit.

[0112] Regarding item B-4, when the UE is executing the first target operation, the beam information predicted by the first AI model may be inaccurate. Therefore, in order to ensure that information can be transmitted normally between the UE and the network side device during the execution of the first target operation, the time when the UE starts to execute the first target operation is used as the first time unit.

[0113] With respect to item B-5, after the network-side device receives the request for the first target operation sent by the UE, the network-side device will send confirmation information of the request for the first target operation to the UE to inform the UE to confirm the execution of the first target operation. In order to ensure that information can be transmitted normally between the UE and the network-side device during the execution of the first target operation, the time when the network-side device sends the confirmation information of the request for the first target operation can be used as the first time unit.

[0114] Regarding item B-6, when the performance monitoring results of the first AI model do not meet the preset requirements, the beam information predicted by the first AI model may be inaccurate. In order to ensure that information can be transmitted normally between the UE and the network side device when the performance monitoring results of the first AI model do not meet the preset requirements, the time when the UE determines that the performance monitoring results of the first AI model do not meet the preset requirements can be used as the first time unit.

[0115] With respect to item B-7, the UE monitors the performance of the first AI model. When the UE determines that the performance monitoring result of the first AI model does not meet the preset requirements, the UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirements. The time when the UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirements and the time when the network-side device receives that the performance monitoring result of the first AI model does not meet the preset requirements are the same time. In order to ensure that information can be transmitted normally between the UE and the network-side device when the performance monitoring result of the first AI model does not meet the preset requirements, the time when the UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirements, or the time when the network-side device receives that the performance monitoring result of the first AI model does not meet the preset requirements, can be used as the first time unit.

[0116] Regarding item B-8, when the UE needs to perform the first target operation or the UE determines that the performance test result of the first AI model does not meet the performance requirements, the UE reports a request for fallback beam information to the network-side device to request the use of the fallback beam information for information transmission. Therefore, the time when the UE reports the request for fallback beam information to the network-side device can be used as the first time unit.

[0117] With respect to item B-9, the UE monitors the performance of the first AI model and reports the performance monitoring result of the first AI model to the network-side device, so that the network-side device determines whether the performance monitoring result of the first AI model meets the preset requirements. Specifically, the UE reports the performance monitoring result of the first AI model to the network-side device when a change is found in the performance monitoring result. If the performance monitoring result of the first AI model does not meet the preset requirements, the beam information predicted by the first AI model may be inaccurate. In order to ensure that information can be transmitted normally between the UE and the network-side device when the performance monitoring result of the first AI model does not meet the preset requirements, the time when the UE reports the performance monitoring result of the first AI model to the network-side device can be used as the first time unit.

[0118] With respect to item B-10, when the UE reports the performance monitoring result of the first AI model to the network-side device, the network-side device determines whether the performance monitoring result of the first AI model meets the preset requirements. If the performance monitoring result of the first AI model does not meet the preset requirements, the network-side device sends confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements. In order to ensure that information can be transmitted normally between the UE and the network-side device when the performance monitoring result of the first AI model does not meet the preset requirements, the time at which the network-side device sends the confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements can be used as the first time unit.

[0119] In a specific embodiment, the first time unit further includes at least one of the following:

[0120] Item C-1: the time unit at which the first time unit begins;

[0121] Item C-2: The time unit at the end of the first time unit;

[0122] Item C-3: the x1th time unit starting from the first time unit after the first time unit;

[0123] Item C-4: the x1th time unit after the first time unit;

[0124] Wherein, x1 is an integer greater than 0.

[0125] In the embodiment of the present application, a time unit (eg, a first time unit, a second time unit) is a unit used to represent time, and may be a time slot, a symbol, a frame, or a second, etc., which is not limited here.

[0126] In the embodiment of the present application, the first time unit is a time unit. In some embodiments, the first time unit includes at least one of the time units determined according to at least one of items B-1 to B-9 and at least one of items C-1 to C-4 above.

[0127] In a specific embodiment, the second time unit includes at least a time unit determined according to at least one of the following:

[0128] Item D-1: the moment when the UE completes the second target operation;

[0129] Item D-2: the moment when the UE reports the beam prediction result for the first time after completing the second target operation;

[0130] Item D-3: the moment when the network-side device first sends beam information signaling after the UE completes the second target operation;

[0131] Item D-4: the first time the UE determines the effective time of the beam information after completing the second target operation;

[0132] Item D-5: the moment when the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0133] Item D-6: the time at which the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0134] Item D-7: the moment when the UE first receives the beam information indicated or configured by the network-side device after performing the second target operation;

[0135] Item D-8: the time at which the UE first receives the effective beam information indicated or configured by the network-side device after performing the second target operation;

[0136] Item D-9: the moment when the UE receives the beam information indicated or configured by the network-side device after the first time unit;

[0137] Item D-10: the time at which the UE receives, after the first time unit, the effective moment of the beam information indicated or configured by the network-side device;

[0138] Item D-11: The UE determines that the performance monitoring result of the first AI model meets preset requirements;

[0139] Item D-12: The performance monitoring result of the first AI model reported by the UE to the network-side device meets the preset requirement, or the performance monitoring result of the first AI model received by the network-side device meets the preset requirement;

[0140] Item D-13: The UE reports a request to the network device to terminate the fallback beam information;

[0141] Item D-14: The network-side device sends confirmation information that the performance monitoring result of the first AI model meets the preset requirements;

[0142] The second target operation is any one of the first operations.

[0143] In this embodiment of the present application, the first time period from the first time unit to the second time unit is determined based on the performance monitoring results of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model. Therefore, the second time unit is related to the time unit determined by at least one of items D-1 to D-14 above.

[0144] Specifically, for item D-1, after the UE completes the second target operation, the AI ​​model at this time can predict accurate beam information, and the UE and network-side device can transmit information based on the beam information predicted by the AI ​​model. For example, the first AI model is switched to the second AI model, and the UE can use the second AI model to perform beam prediction. Therefore, the moment when the UE completes the second target operation can be used as the second time unit, that is, the time when the first beam information is stopped for information transmission.

[0145] Regarding item D-2, after the UE completes the second target operation, the AI ​​model after the second target operation can accurately predict beam information. The UE reports the beam prediction result to the network device. The UE and the network device can then transmit information based on the beam information predicted by the AI ​​model. Therefore, the moment when the UE first reports the beam prediction result after completing the second target operation can be used as the second time unit.

[0146] For item D-3, after the UE completes the second target operation, the UE uses the AI ​​model after the second target operation to predict the beam information, and reports the beam prediction result to the network side device. After receiving the beam prediction result reported by the UE, the network side device sends a signaling of the beam information to the UE to notify the UE that the network side device has received the reported beam prediction result. Therefore, the moment when the network side device sends the signaling of the beam information for the first time after the UE completes the second target operation can be used as the second time unit.

[0147] For item D-4, after the UE completes the second target operation, the UE uses the AI ​​model after the second target operation to predict the beam information. When the UE determines that the predicted beam information is effective, the UE and the network side device can transmit information based on the effective beam information. Therefore, the first time the UE determines the effectiveness of the beam information after completing the second target operation can be used as the second time unit.

[0148] For item D-5, after the UE performs the second target operation, if the UE receives fallback beam information indicated or configured by the network-side device, the UE and the network-side device may transmit information based on the fallback beam information without using the first beam information. Therefore, the moment when the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation can be used as the second time unit.

[0149] For item D-6, after the UE performs the second target operation, if the UE receives the effective fallback beam information indicated or configured by the network-side device, the UE and the network-side device may transmit information based on the effective fallback beam information without using the first beam information. Therefore, the moment when the UE first receives the effective fallback beam information indicated or configured by the network-side device after performing the second target operation can be used as the second time unit.

[0150] With respect to item D-7, after the UE performs the second target operation, if the UE receives beam information indicated or configured by the network-side device, the UE and the network-side device may transmit information based on the indicated or configured beam information without using the first beam information. Therefore, the moment when the UE first receives the beam information indicated or configured by the network-side device after performing the second target operation can be used as the second time unit.

[0151] With respect to item D-8, after the UE performs the second target operation, if the UE receives effective beam information indicated or configured by the network device, the UE and the network device may transmit information based on the effective beam information indicated or configured, without using the first beam information. Therefore, the moment when the UE first receives effective beam information indicated or configured by the network device after performing the second target operation may be used as the second time unit.

[0152] For item D-9, the UE uses the first beam information for information transmission after the first time unit. If the UE receives beam information indicated or configured by the network device after the first time unit, the UE and the network device may transmit information based on the beam information indicated or configured by the network device without using the first beam information. Therefore, the moment when the UE receives the beam information indicated or configured by the network device after the first time unit can be used as the second time unit.

[0153] For item D-10, the UE uses the first beam information for information transmission after the first time unit. If the UE receives effective beam information indicated or configured by the network device after the first time unit, the UE and the network device may transmit information based on the effective beam information indicated or configured by the network device without using the first beam information. Therefore, the moment when the UE receives effective beam information indicated or configured by the network device after the first time unit can be used as the second time unit.

[0154] For item D-11, after the UE determines that the performance monitoring results of the first AI model meet the preset requirements, it can use the first AI model for beam prediction and use the beam predicted by the first AI model to transmit information with the network side device. Therefore, the time when the UE determines that the performance monitoring results of the first AI model meet the preset requirements can be used as the second time unit.

[0155] For item D-12, the UE detects the performance of the first AI model and reports the performance monitoring results of the first AI model to the network-side device. The time when the UE reports the performance monitoring results of the first AI model to the network-side device is the same as the time when the network-side device receives the performance monitoring results of the first AI model. When the performance monitoring results of the first AI model meet the preset requirements, the UE can use the first AI model to perform beam prediction and use the beam predicted by the first AI model to transmit information with the network-side device. Therefore, the time when the UE reports the performance monitoring results of the first AI model to the network-side device to meet the preset requirements, or the time when the performance monitoring results of the first AI model received by the network-side device meet the preset requirements, can be used as the second time unit.

[0156] For item D-13, when the UE reports a request to terminate the fallback beam information to the network side device, it means that information can be transmitted according to the predicted beam of the first AI model at this time. Therefore, the time when the UE reports the request to terminate the fallback beam information to the network side device can be used as the second time unit.

[0157] For item D-14, when the network-side device determines that the performance monitoring result of the first AI model meets the preset requirements, it sends confirmation information to the UE that the performance monitoring result of the first AI model meets the preset requirements, and then the UE and the network-side device can transmit information according to the beam information predicted by the first AI model. Therefore, the time when the network-side device sends the confirmation information that the performance monitoring result of the first AI model meets the preset requirements is used as the second time unit.

[0158] In a specific embodiment, the second time unit further includes at least one of the following:

[0159] Item E-1: the time unit at which the second time unit begins;

[0160] Item E-2: The time unit at the end of the second time unit;

[0161] Item E-3: the first time unit before the second time unit;

[0162] Item E-4: the x2th time unit before the second time unit, where x2 is an integer greater than 1;

[0163] Item E-5: the first time unit after the second time unit;

[0164] Item E-6: the x3th time unit after the second time unit, where x3 is an integer greater than 1.

[0165] In the embodiment of the present application, a time unit (eg, a first time unit, a second time unit) is a unit used to represent time, and may be a time slot, a symbol, a frame, or a second, etc., which is not limited here.

[0166] In the embodiment of the present application, the second time unit is a time unit. In some embodiments, the second time unit includes at least one of the above items E-1 to E-4 in addition to the time unit determined according to at least one of items D-1 to D-14.

[0167] In a specific implementation, the UE uses the first beam information to transmit information, including:

[0168] The UE receives or sends first target information using first beam information, where the first target information includes at least one of the following:

[0169] K-1 item: PDCCH;

[0170] K-2 item: PDSCH;

[0171] K-3: Downlink reference signal;

[0172] K-4 item: PUCCH;

[0173] K-5 items: PUSCH;

[0174] Item K-6: Uplink reference signal.

[0175] In an embodiment of the present application, the UE uses the first beam information as the QCL information of the first target information, and the first target information includes at least one of the above items K-1 to K-6.

[0176] In a specific embodiment, before the first time unit, when the first target information is associated with beam information at multiple time moments, the method further includes:

[0177] After the first time unit, the UE determines that the beam information that has not taken effect in the beam information at the multiple time moments is not effective.

[0178] In specific implementations, the network-side device may indicate beam information for a period of time in the future to the UE (i.e., beam information for multiple moments), which includes several beam information within this period of time. For example, the network-side device indicates the beam information for the next three time units to the UE in advance. The first time unit uses beam 1, the second time unit uses beam 2, and the third time unit uses beam 3. When the UE uses beam 1 for information transmission in the first time unit, if the AI ​​model performance degrades or the AI ​​model does not match the current environment, beam 2 and beam 3 will no longer be effective in the corresponding second and third time units. The UE uses the first beam information for information transmission in the second and third time units.

[0179] In a specific embodiment, the first beam information is at least one of the following:

[0180] Item H-1: When the beam information indicated by the network-side device is associated with the PCI of the serving cell, the first beam information is the beam information most recently indicated by the network-side device;

[0181] Item H-2: When the beam information indicated by the network device is associated with the PCI of a non-serving cell, the first beam information is the QCL parameter of the PDCCH relative to the RS of the CORESET associated with the search space having the lowest controlResourceSetId;

[0182] Item H-3: SSB during initial access or random access;

[0183] Item H-4: Beam information for PUSCH transmission scheduled by UL grant during initial access or random access;

[0184] Item H-5: Beam information associated with the CORESET with the smallest ID in the most recent time slot in which one or more CORESETs were monitored on the DL BWP activated on the serving cell;

[0185] Item H-6: Default beam information of the most recent prediction;

[0186] H-7: beam information of the most recent measurement;

[0187] Item H-8: The most recently effective beam information;

[0188] Item H-9: The most recently effective prediction beam information;

[0189] Item H-10: The most recently reported beam information corresponding to the associated specific reporting configuration;

[0190] Item H-11: predicted beam information of the most recent measurement;

[0191] Item H-12: information about the first specific beam among multiple predicted beam information measured most recently;

[0192] Item H-13: Resources measured during the most recent model monitoring;

[0193] Item H-14: Resources reported during the most recent model monitoring process.

[0194] In an embodiment of the present application, the first beam information is beam information that meets the information transmission requirements of the UE and the network side device. Specifically, for item H-1, being associated with the PCI of the service cell means being associated with the PCI of the service cell of the current UE. If the beam information indicated by the network side device is associated with the PCI of the service cell, the beam information indicated by the network side device for the most recent time can be used as the first beam information, wherein the beam information indicated by the network side device for the most recent time can be the beam information indicated by the network side device for the most recent time unit.

[0195] For item H-2, being associated with the PCI of a non-serving cell means being associated with the PCI of a serving cell other than the current UE. If the beam information indicated by the network-side device is associated with the PCI of a non-serving cell, the QCL parameters of the PDCCH can be used as the RS of the CORESET associated with the search space with the lowest controlResourceSetId as the first beam information.

[0196] For item H-3, the SSB during initial access or random access refers to the SSB used by the UE when it initially accesses the network, or the SSB used by the UE during random access.

[0197] For item H-4, beam information of PUSCH transmission scheduled by UL grant during initial access or random access.

[0198] For item H-5, on the DL BWP activated on the serving cell, the beam information associated with the CORESET with the smallest ID in the most recent timeslot in which one or more CORESETs were monitored.

[0199] For item H-6, the most recently predicted default beam information refers to the backup beam information predicted by the backup AI model. When the performance monitoring results of the first AI model do not meet the preset requirements, or the first operation related to the first AI model is performed, the backup beam information predicted by the backup AI model can be used as the first beam information.

[0200] For item H-7, when the first AI model performs beam prediction, part of the measured beam is used as the input of the first AI model. When the performance monitoring result of the first AI model does not meet the preset requirements, or when the first operation related to the first AI model is performed, the most recently measured beam information can be used as the first beam information.

[0201] For item H-8, the most recently effective beam information refers to the most recently effective beam information indicated or configured by the network-side device.

[0202] For item H-9, the most recently effective predicted beam information refers to the beam information predicted by the first AI model and effective.

[0203] For item H-10, associate the most recently reported beam information corresponding to the specific reporting configuration. In one embodiment, the specific reporting configuration can be a fallback beam measurement, or the corresponding first AI model inference output, or the corresponding first AI model output label.

[0204] For item H-11, the predicted beam information refers to the predicted beam information of the first AI model. When the performance monitoring result of the first AI model does not meet the preset requirements, or the first operation related to the first AI model is performed, the most recently measured predicted beam information can be used as the first beam information.

[0205] For item H-12, the first specific beam information among the multiple predicted beam information measured most recently, in one embodiment, the first specific beam information can be beam information with the smallest ID, the most recent resource sending time, the earlier resource sending time, the best beam quality information, etc.

[0206] For item H-13, when the UE monitors the performance of the first AI model, it will measure the relevant beam information (or resources) to obtain the performance monitoring results of the first AI model based on the measurement results. Therefore, the resources measured during the most recent model monitoring process are used as the first beam information.

[0207] For item H-14, the UE monitors the performance of the first model and reports the performance monitoring results to the network side device. The resources reported by the UE during the most recent model monitoring process can be used as the first beam information.

[0208] In a specific implementation, the most recent reference time is: the first time unit, or a moment related to the first time unit.

[0209] In an embodiment of the present application, the most recent reference time is: the first time unit, or a moment related to the first time unit. For example, the most recently effective beam information refers to the most recently effective beam information from the first time unit; for another example, the resources measured during the most recent model monitoring process refer to the resources measured during the most recent model monitoring process of the first time unit after the first time unit.

[0210] In a specific implementation, when the first beam information corresponds to multiple beams or multiple resources, the following steps J1 and J2 are also included:

[0211] Step J1: The UE determines beam information or designated beam information according to at least one of the beam information ID, the resource ID, and the time domain position;

[0212] Step J2: The UE uses the determined beam information or the determined designated beam information to transmit information.

[0213] In an embodiment of the present application, the first beam information corresponds to multiple beams or multiple resources. The UE and the network side device only need to select one beam or resource for information transmission, for example, to determine a pair of beam information for SFN or MTRP scenarios.

[0214] In one embodiment, the UE determines a beam information or specifies the beam information based on the beam information ID, including: determining a beam information or specifies the beam information based on the maximum or minimum beam information ID; the UE determines a beam information or specifies the beam information based on the resource ID, including: determining a beam information or specifies the beam information based on the maximum or minimum resource ID; the UE determines a beam information or specifies the beam information based on the time domain position, including: determining a beam information or specifies the beam information based on the latest or earliest time domain position.

[0215] In a specific implementation, the beam or resource corresponding to the first beam information is: the beam or resource that the UE has measured before the first time unit.

[0216] In this embodiment of the present application, the beam or resource measured by the UE before the first time unit indicates that the beam and resource meet the requirements for information transmission between the UE and the network-side device. Therefore, the beam or resource measured by the UE is used as the beam and resource corresponding to the first beam information. Subsequently, during the first time period, the UE can transmit information with the network-side device based on the beam or resource corresponding to the first beam information.

[0217] In a second aspect, an information transmission method is provided, which is applied to a network-side device. Referring to FIG4 , FIG4 is a flowchart of an information transmission method provided in an embodiment of the present application. The method includes at least the following steps:

[0218] Step S410: The network side device uses the first beam information to transmit information with the user equipment UE in a first time period from the first time unit to the second time unit, where the first time period is determined based on the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0219] In the embodiment of the present application, the network side device may be the core network device or access network device 12 in FIG1 . For examples of the network side device 12 , please refer to the previous text and will not be repeated here.

[0220] Through the above steps, in order to determine the situation where the AI ​​model performance is degraded or the AI ​​model does not match the current environment, the present application proposes to use the performance monitoring result of the first AI model as one of the considerations for using the first beam information for information transmission within the first time period, or to use the execution of the first operation related to the first AI model as one of the considerations for using the first beam information for information transmission within the first time period. In this way, the embodiment of the present application considers one or more factors to determine the beam information used for information transmission with the network side device, so that the beam information can be applicable to situations where the AI ​​model performance is degraded or the AI ​​model does not match the current environment.

[0221] In a specific embodiment, the first operation related to the first AI model includes at least one of the following:

[0222] Switching the first AI model to a second AI model;

[0223] Activate the second AI model;

[0224] Fine-tuning the first AI model;

[0225] Reactivating the first AI model;

[0226] Deactivating the first AI model;

[0227] Switch the model function of the first AI model.

[0228] In a specific embodiment, the first time unit includes at least a time unit determined according to at least one of the following:

[0229] The UE receives signaling of the first target operation;

[0230] The UE sends a request for the first target operation, or the network-side device receives the request for the first target operation;

[0231] The UE sends information about the first target operation;

[0232] The UE starts to perform the first target operation;

[0233] The network side device sends confirmation information for the request for the first target operation;

[0234] The UE determines that a performance monitoring result of the first AI model does not meet a preset requirement;

[0235] The UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirement, or the performance monitoring result of the first AI model received by the network-side device does not meet the preset requirement;

[0236] The UE reports a request for fallback beam information to the network side device;

[0237] The UE reports the performance monitoring result of the first AI model to the network-side device;

[0238] The network-side device sends confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements;

[0239] The first target operation is any one of the first operations.

[0240] In a specific embodiment, the first time unit further includes at least one of the following:

[0241] a time unit at which the first time unit begins;

[0242] The time unit at which the first time unit ends;

[0243] the x1th time unit starting from the first time unit after the first time unit;

[0244] the x1th time unit after the first time unit;

[0245] Wherein, x1 is an integer greater than 0.

[0246] In a specific embodiment, the second time unit includes at least a time unit determined according to at least one of the following:

[0247] The moment when the UE completes the second target operation;

[0248] The moment when the UE reports the beam prediction result for the first time after completing the second target operation;

[0249] The moment when the network-side device sends beam information signaling for the first time after the UE completes the second target operation;

[0250] The UE determines, for the first time after completing the second target operation, a time at which beam information takes effect;

[0251] The moment when the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0252] The time at which the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0253] The moment when the UE receives the beam information indicated or configured by the network-side device for the first time after performing the second target operation;

[0254] The time at which the UE first receives the effective beam information indicated or configured by the network-side device after performing the second target operation;

[0255] A moment when the UE receives the beam information indicated or configured by the network-side device after the first time unit;

[0256] The UE receives, after the first time unit, a time at which the beam information indicated or configured by the network-side device is effective;

[0257] The UE determines that a performance monitoring result of the first AI model meets a preset requirement;

[0258] The UE reports, to the network-side device, a performance monitoring result of the first AI model that meets a preset requirement, or the performance monitoring result of the first AI model received by the network-side device meets the preset requirement;

[0259] The UE reports a request to the network side device to terminate the fallback beam information;

[0260] The network-side device sends confirmation information that the performance monitoring result of the first AI model meets the preset requirements;

[0261] The second target operation is any one of the first operations.

[0262] In a specific embodiment, the second time unit further includes at least one of the following:

[0263] a time unit at which the second time unit begins;

[0264] The time unit at which the second time unit ends;

[0265] the first time unit before the second time unit;

[0266] The x2th time unit before the second time unit, where x2 is an integer greater than 1;

[0267] the first time unit after the second time unit;

[0268] The x3th time unit after the second time unit, where x3 is an integer greater than 1.

[0269] In a specific implementation, the network side device uses the first beam information to transmit information with the user equipment UE, including:

[0270] The network-side device receives or sends first target information using the first beam information, where the first target information includes at least one of the following:

[0271] PDCCH;

[0272] PDSCH;

[0273] Downlink reference signal;

[0274] PUCCH;

[0275] PUSCH;

[0276] Uplink reference signal.

[0277] In a specific implementation, the network side device uses the first beam information to transmit information with the user equipment UE, including:

[0278] The network-side device uses the first beam information to transmit information with the UE when a first condition is met, where the first condition includes at least one of the following:

[0279] A first operation related to the first AI model needs to be performed;

[0280] The performance monitoring results of the first AI model do not meet the preset requirements.

[0281] In a specific embodiment, the preset requirement is a model performance-related indicator or a system performance indicator determined based on at least one of the following:

[0282] Agreement;

[0283] Network-side device configuration information;

[0284] The result reported by the UE.

[0285] In a specific embodiment, the first beam information is at least one of the following:

[0286] In a case where the beam information indicated by the network side device is associated with the PCI of the serving cell, the first beam information is the beam information most recently indicated by the network side device;

[0287] In a case where the beam information indicated by the network-side device is associated with the PCI of a non-serving cell, the first beam information is the QCL parameter of the PDCCH relative to the RS of the CORESET associated with the search space with the lowest controlResourceSetId;

[0288] SSB during initial access or random access;

[0289] Beam information for PUSCH transmission scheduled by UL grant during initial access or random access;

[0290] On the DL BWP activated on the serving cell, the beam information associated with the CORESET with the smallest ID in the most recent timeslot in which one or more CORESETs were monitored;

[0291] The default beam information of the most recent prediction;

[0292] The beam information of the most recent measurement;

[0293] The most recently effective beam information;

[0294] The most recently effective prediction beam information;

[0295] The most recently reported beam information corresponding to the associated specific reporting configuration;

[0296] The predicted beam information of the most recent measurement;

[0297] The first specific beam information among the multiple predicted beam information measured most recently;

[0298] the resources measured during the most recent model monitoring;

[0299] Resources reported during the most recent model monitoring process.

[0300] In a specific implementation, the most recent reference time is: the first time unit, or a moment related to the first time unit.

[0301] In a specific implementation, when the first beam information corresponds to multiple beams or multiple resources, the method further includes:

[0302] The UE determines beam information or designated beam information according to at least one of the beam information ID, the resource ID, and the time domain position;

[0303] The UE uses the first beam information to transmit information, including:

[0304] The UE uses the determined beam information or the determined designated beam information to transmit information.

[0305] In a specific implementation, the beam or resource corresponding to the first beam information is: the beam or resource that the UE has measured before the first time unit.

[0306] In a third aspect, an information transmission device is provided. The device is applied to a user equipment. As shown in FIG5 , the information transmission device 500 includes:

[0307] The first transmission module 510 is configured to transmit information using first beam information within a first time period from a first time unit to a second time unit, where the first time period is determined based on a performance monitoring result of a first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0308] In a specific embodiment, the first operation related to the first AI model includes at least one of the following:

[0309] Switching the first AI model to a second AI model;

[0310] Activate the second AI model;

[0311] Fine-tuning the first AI model;

[0312] Reactivating the first AI model;

[0313] Deactivating the first AI model;

[0314] Switch the model function of the first AI model.

[0315] In a specific embodiment, the first time unit includes at least a time unit determined according to at least one of the following:

[0316] The UE receives signaling of the first target operation;

[0317] The UE sends a request for the first target operation, or the network-side device receives the request for the first target operation;

[0318] The UE sends information about the first target operation;

[0319] The UE starts to perform the first target operation;

[0320] The network side device sends confirmation information for the request for the first target operation;

[0321] The UE determines that a performance monitoring result of the first AI model does not meet a preset requirement;

[0322] The UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirement, or the performance monitoring result of the first AI model received by the network-side device does not meet the preset requirement;

[0323] The UE reports a request for fallback beam information to the network side device;

[0324] The UE reports the performance monitoring result of the first AI model to the network-side device;

[0325] The network-side device sends confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements;

[0326] The first target operation is any one of the first operations.

[0327] In a specific embodiment, the first time unit further includes at least one of the following:

[0328] a time unit at which the first time unit begins;

[0329] The time unit at which the first time unit ends;

[0330] the x1th time unit starting from the first time unit after the first time unit;

[0331] the x1th time unit after the first time unit;

[0332] Wherein, x1 is an integer greater than 0.

[0333] In a specific embodiment, the second time unit includes at least a time unit determined according to at least one of the following:

[0334] The moment when the UE completes the second target operation;

[0335] The moment when the UE reports the beam prediction result for the first time after completing the second target operation;

[0336] The moment when the network-side device sends beam information signaling for the first time after the UE completes the second target operation;

[0337] The UE determines, for the first time after completing the second target operation, a time at which beam information takes effect;

[0338] The moment when the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0339] The time at which the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0340] The moment when the UE receives the beam information indicated or configured by the network-side device for the first time after performing the second target operation;

[0341] The time at which the UE first receives the effective beam information indicated or configured by the network-side device after performing the second target operation;

[0342] A moment when the UE receives the beam information indicated or configured by the network-side device after the first time unit;

[0343] The UE receives, after the first time unit, a time at which the beam information indicated or configured by the network-side device is effective;

[0344] The UE determines that a performance monitoring result of the first AI model meets a preset requirement;

[0345] The UE reports, to the network-side device, a performance monitoring result of the first AI model that meets a preset requirement, or the performance monitoring result of the first AI model received by the network-side device meets the preset requirement;

[0346] The UE reports a request to the network side device to terminate the fallback beam information;

[0347] The network-side device sends confirmation information that the performance monitoring result of the first AI model meets the preset requirements;

[0348] The second target operation is any one of the first operations.

[0349] In a specific embodiment, the second time unit further includes at least one of the following:

[0350] a time unit at which the second time unit begins;

[0351] The time unit at which the second time unit ends;

[0352] the first time unit before the second time unit;

[0353] The x2th time unit before the second time unit, where x2 is an integer greater than 1;

[0354] the first time unit after the second time unit;

[0355] The x3th time unit after the second time unit, where x3 is an integer greater than 1.

[0356] In a specific implementation, the UE uses the first beam information to transmit information, including:

[0357] The UE receives or sends first target information using first beam information, where the first target information includes at least one of the following:

[0358] PDCCH;

[0359] PDSCH;

[0360] Downlink reference signal;

[0361] PUCCH;

[0362] PUSCH;

[0363] Uplink reference signal.

[0364] In a specific embodiment, before the first time unit, when the first target information is associated with beam information at multiple time moments, the apparatus further includes:

[0365] The first determination module is used to determine, by the UE, that the beam information that has not taken effect in the beam information at the multiple moments is not effective after the first time unit.

[0366] In a specific implementation, the UE uses the first beam information to transmit information, including:

[0367] The UE uses the first beam information to transmit information when a first condition is met, where the first condition includes at least one of the following:

[0368] A first operation related to the first AI model needs to be performed;

[0369] The performance monitoring results of the first AI model do not meet the preset requirements.

[0370] In a specific embodiment, the preset requirement is a model performance-related indicator or a system performance indicator determined based on at least one of the following:

[0371] Agreement;

[0372] Network-side device configuration information;

[0373] The result reported by the UE.

[0374] In a specific embodiment, the first beam information is at least one of the following:

[0375] In a case where the beam information indicated by the network side device is associated with the PCI of the serving cell, the first beam information is the beam information most recently indicated by the network side device;

[0376] In a case where the beam information indicated by the network-side device is associated with the PCI of a non-serving cell, the first beam information is the QCL parameter of the PDCCH relative to the RS of the CORESET associated with the search space with the lowest controlResourceSetId;

[0377] SSB during initial access or random access;

[0378] Beam information for PUSCH transmission scheduled by UL grant during initial access or random access;

[0379] On the DL BWP activated on the serving cell, the beam information associated with the CORESET with the smallest ID in the most recent timeslot in which one or more CORESETs were monitored;

[0380] The default beam information of the most recent prediction;

[0381] The beam information of the most recent measurement;

[0382] The most recently effective beam information;

[0383] The most recently effective prediction beam information;

[0384] The most recently reported beam information corresponding to the associated specific reporting configuration;

[0385] The predicted beam information of the most recent measurement;

[0386] The first specific beam information among the multiple predicted beam information measured most recently;

[0387] the resources measured during the most recent model monitoring;

[0388] Resources reported during the most recent model monitoring process.

[0389] In a specific implementation, the most recent reference time is: the first time unit, or a moment related to the first time unit.

[0390] In a specific implementation, when the first beam information corresponds to multiple beams or multiple resources, the apparatus further includes:

[0391] A second determination module is configured to determine beam information or designated beam information based on at least one of the beam information ID, the resource ID, and the time domain position;

[0392] The UE uses the first beam information to transmit information, including:

[0393] The UE uses the determined beam information or the determined designated beam information to transmit information.

[0394] In a specific implementation, the beam or resource corresponding to the first beam information is: the beam or resource that the UE has measured before the first time unit.

[0395] The information transmission device in the embodiments of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or chip. The electronic device can be a terminal, or it can be other devices other than a terminal. For example, the terminal can include but is not limited to the types of terminal 11 listed above, and other devices can be servers, network attached storage (NAS), etc., which are not specifically limited in the embodiments of the present application.

[0396] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the corresponding information transmission method embodiment and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0397] In a fourth aspect, an information transmission device is provided. The device is applied to a user equipment. As shown in FIG6 , the information transmission device 600 includes:

[0398] The second transmission module 610 is configured to transmit information with a user equipment UE using first beam information within a first time period from a first time unit to a second time unit, where the first time period is determined based on a performance monitoring result of a first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0399] In a specific embodiment, the first operation related to the first AI model includes at least one of the following:

[0400] Switching the first AI model to a second AI model;

[0401] Activate the second AI model;

[0402] Fine-tuning the first AI model;

[0403] Reactivating the first AI model;

[0404] Deactivating the first AI model;

[0405] Switch the model function of the first AI model.

[0406] In a specific embodiment, the first time unit includes at least a time unit determined according to at least one of the following:

[0407] The UE receives signaling of the first target operation;

[0408] The UE sends a request for the first target operation, or the network-side device receives the request for the first target operation;

[0409] The UE sends information about the first target operation;

[0410] The UE starts to perform the first target operation;

[0411] The network side device sends confirmation information for the request for the first target operation;

[0412] The UE determines that a performance monitoring result of the first AI model does not meet a preset requirement;

[0413] The UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirement, or the performance monitoring result of the first AI model received by the network-side device does not meet the preset requirement;

[0414] The UE reports a request for fallback beam information to the network side device;

[0415] The UE reports the performance monitoring result of the first AI model to the network-side device;

[0416] The network-side device sends confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements;

[0417] The first target operation is any one of the first operations.

[0418] In a specific embodiment, the first time unit further includes at least one of the following:

[0419] a time unit at which the first time unit begins;

[0420] The time unit at which the first time unit ends;

[0421] the x1th time unit starting from the first time unit after the first time unit;

[0422] the x1th time unit after the first time unit;

[0423] Wherein, x1 is an integer greater than 0.

[0424] In a specific embodiment, the second time unit includes at least a time unit determined according to at least one of the following:

[0425] The moment when the UE completes the second target operation;

[0426] The moment when the UE reports the beam prediction result for the first time after completing the second target operation;

[0427] The moment when the network-side device sends beam information signaling for the first time after the UE completes the second target operation;

[0428] The UE determines, for the first time after completing the second target operation, a time at which beam information takes effect;

[0429] The moment when the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0430] The time at which the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation;

[0431] The moment when the UE receives the beam information indicated or configured by the network-side device for the first time after performing the second target operation;

[0432] The time at which the UE first receives the effective beam information indicated or configured by the network-side device after performing the second target operation;

[0433] A moment when the UE receives the beam information indicated or configured by the network-side device after the first time unit;

[0434] The UE receives, after the first time unit, a time at which the beam information indicated or configured by the network-side device is effective;

[0435] The UE determines that a performance monitoring result of the first AI model meets a preset requirement;

[0436] The UE reports, to the network-side device, a performance monitoring result of the first AI model that meets a preset requirement, or the performance monitoring result of the first AI model received by the network-side device meets the preset requirement;

[0437] The UE reports a request to the network side device to terminate the fallback beam information;

[0438] The network-side device sends confirmation information that the performance monitoring result of the first AI model meets the preset requirements;

[0439] The second target operation is any one of the first operations.

[0440] In a specific embodiment, the second time unit further includes at least one of the following:

[0441] a time unit at which the second time unit begins;

[0442] The time unit at which the second time unit ends;

[0443] the first time unit before the second time unit;

[0444] The x2th time unit before the second time unit, where x2 is an integer greater than 1;

[0445] the first time unit after the second time unit;

[0446] The x3th time unit after the second time unit, where x3 is an integer greater than 1.

[0447] In a specific implementation, the network side device uses the first beam information to transmit information with the user equipment UE, including:

[0448] The network-side device receives or sends first target information using the first beam information, where the first target information includes at least one of the following:

[0449] PDCCH;

[0450] PDSCH;

[0451] Downlink reference signal;

[0452] PUCCH;

[0453] PUSCH;

[0454] Uplink reference signal.

[0455] In a specific implementation, the network side device uses the first beam information to transmit information with the user equipment UE, including:

[0456] The network-side device uses the first beam information to transmit information with the UE when a first condition is met, where the first condition includes at least one of the following:

[0457] A first operation related to the first AI model needs to be performed;

[0458] The performance monitoring results of the first AI model do not meet the preset requirements.

[0459] In a specific embodiment, the preset requirement is a model performance-related indicator or a system performance indicator determined based on at least one of the following:

[0460] Agreement;

[0461] Network-side device configuration information;

[0462] The result reported by the UE.

[0463] In a specific embodiment, the first beam information is at least one of the following:

[0464] In a case where the beam information indicated by the network side device is associated with the PCI of the serving cell, the first beam information is the beam information most recently indicated by the network side device;

[0465] In a case where the beam information indicated by the network-side device is associated with the PCI of a non-serving cell, the first beam information is the QCL parameter of the PDCCH relative to the RS of the CORESET associated with the search space with the lowest controlResourceSetId;

[0466] SSB during initial access or random access;

[0467] Beam information for PUSCH transmission scheduled by UL grant during initial access or random access;

[0468] On the DL BWP activated on the serving cell, the beam information associated with the CORESET with the smallest ID in the most recent timeslot in which one or more CORESETs were monitored;

[0469] The default beam information of the most recent prediction;

[0470] The beam information of the most recent measurement;

[0471] The most recently effective beam information;

[0472] The most recently effective prediction beam information;

[0473] The most recently reported beam information corresponding to the associated specific reporting configuration;

[0474] The predicted beam information of the most recent measurement;

[0475] The first specific beam information among the multiple predicted beam information measured most recently;

[0476] the resources measured during the most recent model monitoring;

[0477] Resources reported during the most recent model monitoring process.

[0478] In a specific implementation, the most recent reference time is: the first time unit, or a moment related to the first time unit.

[0479] In a specific implementation, when the first beam information corresponds to multiple beams or multiple resources, the method further includes:

[0480] The UE determines beam information or designated beam information according to at least one of the beam information ID, the resource ID, and the time domain position;

[0481] The UE uses the first beam information to transmit information, including:

[0482] The UE uses the determined beam information or the determined designated beam information to transmit information.

[0483] In a specific implementation, the beam or resource corresponding to the first beam information is: the beam or resource that the UE has measured before the first time unit.

[0484] The information transmission device in the embodiments of the present application can be an electronic device, such as an electronic device with an operating system, or a component in an electronic device, such as an integrated circuit or chip. The electronic device can be a terminal, or it can be other devices other than a terminal. For example, the terminal can include but is not limited to the types of terminal 11 listed above, and other devices can be servers, network attached storage (NAS), etc., which are not specifically limited in the embodiments of the present application.

[0485] The information transmission device provided in the embodiment of the present application can implement the various processes implemented in the corresponding information transmission method embodiment and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0486] As shown in Figure 7, an embodiment of the present application further provides a communication device 700, including a processor 701 and a memory 702. The memory 702 stores a program or instruction that can be run on the processor 701. For example, when the communication device 700 is a terminal, the program or instruction, when executed by the processor 701, implements the various steps of the above-mentioned information transmission method embodiment and can achieve the same technical effect. When the communication device 700 is a network-side device, the program or instruction, when executed by the processor 701, implements the various steps of the above-mentioned information transmission method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0487] The present application also provides a user device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to execute a program or instruction to implement the steps of the method embodiment shown in the user device side. This user device embodiment corresponds to the method embodiment shown in the user device side. The various implementation processes and implementation methods of the method embodiment shown in the above method embodiment are applicable to this user device embodiment and can achieve the same technical effects. Specifically, Figure 8 is a schematic diagram of the hardware structure of a user device implementing an embodiment of the present application.

[0488] The terminal 800 includes but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809 and at least some of the components of the processor 810.

[0489] Those skilled in the art will appreciate that the terminal 800 may also include a power supply (such as a battery) to power various components. The power supply may be logically connected to the processor 810 via a power management system, thereby enabling the power management system to manage charging, discharging, and power consumption. The terminal structure shown in FIG8 does not limit the terminal. The terminal may include more or fewer components than shown, or may combine certain components, or have different component arrangements, which will not be described in detail here.

[0490] It should be understood that in an embodiment of the present application, the input unit 804 may include a graphics processing unit (GPU) 8041 and a microphone 8042, and the graphics processor 8041 processes the image data of a static picture or video obtained by an image capture device (such as a camera) in a video capture mode or an image capture mode. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 807 includes a touch panel 8071 and at least one of other input devices 8072. The touch panel 8071 is also called a touch screen. The touch panel 8071 may include two parts: a touch detection device and a touch controller. Other input devices 8072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

[0491] In the embodiment of the present application, after receiving downlink data from a network-side device, the radio frequency unit 801 may transmit the data to the processor 810 for processing. Furthermore, the radio frequency unit 801 may send uplink data to the network-side device. Typically, the radio frequency unit 801 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and the like.

[0492] The memory 809 can be used to store software programs or instructions and various data. The memory 809 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, applications or instructions required for at least one function (such as a sound playback function, an image playback function, etc.). In addition, the memory 809 may include a volatile memory or a non-volatile memory. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be random access memory (RAM), static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDRSDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct RAM bus random access memory (DRRAM). The memory 809 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0493] Processor 810 may include one or more processing units. Optionally, processor 810 integrates an application processor and a modem processor. The application processor primarily handles operations related to the operating system, user interface, and application programs, while the modem processor primarily processes wireless communication signals, such as a baseband processor. It is understood that the modem processor may not be integrated into processor 810.

[0494] Among them, the radio frequency unit 801 is used for the user equipment to transmit information using the first beam information within a first time period from the first time unit to the second time unit. The first time period is determined based on the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0495] Processor 810 is configured to enable a user equipment to transmit information using first beam information within a first time period from a first time unit to a second time unit, where the first time period is determined based on a performance monitoring result of a first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

[0496] In order to determine the situation where the AI ​​model performance is degraded or the AI ​​model does not match the current environment, the present application proposes to use the performance monitoring result of the first AI model as one of the considerations for using the first beam information for information transmission within the first time period, or to use the execution of the first operation related to the first AI model as one of the considerations for using the first beam information for information transmission within the first time period. In this way, the embodiment of the present application considers one or more factors to determine the beam information used for information transmission with the network side device, so that the beam information can be applicable to situations where the AI ​​model performance is degraded or the AI ​​model does not match the current environment.

[0497] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the information transmission method in the method embodiment, and achieve the same or corresponding technical effects. To avoid repetition, it will not be repeated here.

[0498] The present application also provides a network-side device, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is configured to execute a program or instruction to implement the steps of the method embodiment shown on the network-side device side. This network-side device embodiment corresponds to the aforementioned network-side device method embodiment, and each implementation process and implementation method of the aforementioned method embodiment are applicable to this network-side device embodiment and can achieve the same technical effects.

[0499] Specifically, an embodiment of the present application further provides a network-side device. As shown in FIG9 , the network-side device 900 includes a processor 901, a network interface 902, and a memory 903. The network interface 902 is, for example, a common public radio interface (CPRI).

[0500] Specifically, the network side device 900 of the embodiment of the present application also includes: instructions or programs stored in the memory 903 and can be run on the processor 901. The processor 901 calls the instructions or programs in the memory 903 to execute the methods executed by each module shown on the network side device side and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0501] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information transmission method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0502] The processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk. In some examples, the readable storage medium may be a non-transitory readable storage medium.

[0503] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned information transmission method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0504] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0505] An embodiment of the present application further provides a computer program / program product, which is stored in a storage medium. The computer program / program product is executed by at least one processor to implement the various processes of the above-mentioned information transmission method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0506] An embodiment of the present application also provides an information transmission system, which includes: a user device and a network side device, wherein the user device is used to execute the steps executed by the user device in the above method embodiment, and the network side device is used to execute the steps executed by the network side device in the above method embodiment.

[0507] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0508] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of a computer software product plus a necessary general-purpose hardware platform, or of course, by hardware. The computer software product is stored in a storage medium (such as ROM, RAM, magnetic disk, optical disk, etc.) and includes a number of instructions for enabling a terminal or network-side device to execute the methods described in each embodiment of the present application.

[0509] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms of implementation methods without departing from the purpose of this application and the scope of protection of the claims. These implementation methods are all within the protection of this application.

Claims

1. An information transmission method, wherein, Including: The user equipment UE performs information transmission using the first beam information within the first time period from the first time unit to the second time unit. The first time period is determined according to the performance monitoring result of the first AI model used by the UE, or the first time period is the time period for performing the first operation related to the first AI model.

2. The method according to claim 1, wherein The first operation related to the first AI model includes at least one of the following: Switching the first AI model to a second AI model; Activating a second AI model; Fine-tuning the first AI model; Reactivating the first AI model; Deactivating the first AI model; Switching the model function of the first AI model.

3. The method according to claim 1 or 2, wherein The first time unit at least includes the time unit determined according to at least one of the following: The UE receives the signaling of the first target operation; The UE sends a request for the first target operation, or the network side device receives the request for the first target operation; The UE sends the information of the first target operation; The UE starts to perform the first target operation; The network side device sends the confirmation information for the request of the first target operation; The UE determines that the performance monitoring result of the first AI model does not meet the preset requirements; The UE reports to the network side device that the performance monitoring result of the first AI model does not meet the preset requirements, or the network side device receives the performance monitoring result of the first AI model that does not meet the preset requirements; The UE reports a request for fallback beam information to the network side device; The UE reports the performance monitoring result of the first AI model to the network side device; The network side device sends the confirmation information that the performance monitoring result of the first AI model does not meet the preset requirements; Wherein, the first target operation is any one of the first operations.

4. The method according to claim 3, wherein, The first time unit further includes at least one of the following: The time unit when the first time unit starts; The time unit when the first time unit ends; The x1th time unit starting from the first time unit after the first time unit; The x1th time unit after the first time unit; Wherein, x1 is an integer greater than 0.

5. According to the method as claimed in any one of claims 1 to 4, wherein, The second time unit at least includes the time unit determined according to at least one of the following: The moment when the UE completes the second target operation; The moment when the UE first reports the beam prediction result after completing the second target operation; The moment when the network side device first sends the signaling of the beam information after the UE completes the second target operation; The moment when the UE first determines the effective moment of the beam information after completing the second target operation; The moment when the UE first receives the fallback beam information indicated or configured by the network side device after performing the second target operation; The moment when the UE first receives the effective moment of the fallback beam information indicated or configured by the network side device after performing the second target operation; The moment when the UE first receives the beam information indicated or configured by the network side device after performing the second target operation; The effective moment when the UE first receives the beam information indicated or configured by the network side device after performing the second target operation; The moment when the UE receives the beam information indicated or configured by the network side device after the first time unit; The effective moment when the UE receives the beam information indicated or configured by the network side device after the first time unit; The UE determines that the performance monitoring result of the first AI model meets the preset requirements; The UE reports to the network side device that the performance monitoring result of the first AI model meets the preset requirements, or the performance monitoring result of the first AI model received by the network side device meets the preset requirements; The UE reports a request to abort the fallback beam information to the network side device; The network side device sends confirmation information indicating that the performance monitoring result of the first AI model meets the preset requirements; Wherein, the second target operation is any one of the first operations.

6. The method according to claim 5, wherein, The second time unit further includes at least one of the following: The time unit at which the second time unit starts; The time unit at which the second time unit ends; The first time unit before the second time unit; The x2-th time unit before the second time unit, where x2 is an integer greater than 1; The first time unit after the second time unit; The x3-th time unit after the second time unit, where x3 is an integer greater than 1.

7. According to the method as claimed in any one of claims 1-6, wherein, The UE uses the first beam information for information transmission, including: The UE receives or sends first target information using the first beam information, and the first target information includes at least one of the following: PDCCH; PDSCH; Downlink reference signal; PUCCH; PUSCH; Uplink reference signal.

8. The method according to claim 7, wherein Before the first time unit, when the first target information is associated with beam information at multiple moments, it further includes: After the first time unit, the UE determines that the beam information that has not become effective among the beam information at the multiple moments does not become effective.

9. The method according to any one of claims 1-8, wherein, The UE uses the first beam information for information transmission, including: The UE uses the first beam information for information transmission when meeting the first condition, and the first condition includes at least one of the following: It is necessary to perform the first operation related to the first AI model; The performance monitoring result of the first AI model does not meet the preset requirements.

10. The method according to claim 3 or 5, wherein, The preset requirements are determined according to at least one of the following model performance-related indicators or system performance indicators: Protocol agreement; Information configured by the network side device; The result reported by the UE.

11. According to the method described in any one of claims 1-10, wherein, The first beam information is at least one of the following: When the beam information indicated by the network side device is associated with the PCI of the serving cell, the first beam information is the most recent beam information indicated by the network side device; In the case where the beam information indicated by the network - side device is associated with the PCI of the non - serving cell, the first beam information is the RS of the QCL parameter of the PDCCH associated with the CORESET of the search space with the lowest controlResourceSetId; SSB in the initial access or random access procedure; Beam information for PUSCH transmission scheduled by UL grant in the initial access or random access procedure; Beam information associated with the CORESET with the smallest ID on the time slot where one or more CORESETs are monitored on the activated DL BWP of the serving cell; The most recently predicted default beam information; The most recently measured beam information; The most recently effective beam information; The most recently effective predicted beam information; The most recently reported beam information corresponding to a specific reporting configuration; The most recently measured predicted beam information; The first specific beam information among the multiple predicted beam information measured most recently; Resources measured during the most recent model monitoring process; Resources reported during the most recent model monitoring process.

12. The method according to claim 11, wherein, The most recent reference time is: the first time unit, or, a moment related to the first time unit.

13. The method according to any one of claims 1 to 12, wherein, In the case where the first beam information corresponds to multiple beams or multiple resources, it further includes: The UE determines one beam information or determines the specified beam information according to at least one of the beam information ID, resource ID, and time - domain position; The UE uses the first beam information for information transmission, including: The UE uses the determined one beam information or the determined specified beam information for information transmission.

14. According to the method according to any one of claims 1-13, wherein, The beam or resource corresponding to the first beam information is: the beam or resource measured by the UE before the first time unit.

15. An information transmission method, wherein, It includes: The network - side device uses the first beam information to perform information transmission with the user equipment UE within the first time period from the first time unit to the second time unit, and the first time period is determined according to the performance monitoring result of the first AI model used by the UE, or the first time period is the time period for performing the first operation related to the first AI model.

16. The method according to claim 15, wherein, The first operation related to the first AI model includes at least one of the following: Switch the first AI model to the second AI model; Activate the second AI model; Fine - tune the first AI model; Re - activate the first AI model; De - activate the first AI model; Switch the model function of the first AI model.

17. The method according to claim 15 or 16, wherein, The first time unit at least includes the time unit determined according to at least one of the following: The UE receives the signaling of the first target operation; The UE sends the request of the first target operation, or, the network - side device receives the request of the first target operation; The UE sends the information of the first target operation; The UE starts to execute the first target operation; The network - side device sends the confirmation information of the request for the first target operation; The UE determines that the performance monitoring result of the first AI model does not meet the preset requirements; The UE reports to the network-side device that the performance monitoring result of the first AI model does not meet the preset requirements, or the network-side device receives the performance monitoring result of the first AI model that does not meet the preset requirements; The UE reports a request for fallback beam information to the network-side device; The UE reports the performance monitoring result of the first AI model to the network-side device; The network-side device sends a confirmation message indicating that the performance monitoring result of the first AI model does not meet the preset requirements; Wherein, the first target operation is any one of the first operations.

18. The method according to claim 17, wherein The first time unit further includes at least one of the following: The time unit at which the first time unit starts; The time unit at which the first time unit ends; The x1-th time unit starting from the first time unit after the first time unit; The x1-th time unit after the first time unit; Wherein, x1 is an integer greater than 0.

19. The method according to any one of claims 15-18, wherein, The second time unit at least includes a time unit determined according to at least one of the following: The moment when the UE completes the second target operation; The moment when the UE first reports the beam prediction result after completing the second target operation; The moment when the network-side device first sends a signaling of beam information after the UE completes the second target operation; The moment when the UE first determines the effective moment of the beam information after completing the second target operation; The moment when the UE first receives the fallback beam information indicated or configured by the network-side device after performing the second target operation; The moment when the UE first receives the effective moment of the fallback beam information indicated or configured by the network-side device after performing the second target operation; The moment when the UE first receives the beam information indicated or configured by the network-side device after performing the second target operation; The moment when the UE first receives the effective moment of the beam information indicated or configured by the network-side device after performing the second target operation; The moment when the UE receives the beam information indicated or configured by the network-side device after the first time unit; The moment when the UE receives the effective moment of the beam information indicated or configured by the network-side device after the first time unit; The UE determines that the performance monitoring result of the first AI model meets the preset requirements; The UE reports to the network-side device that the performance monitoring result of the first AI model meets the preset requirements, or the network-side device receives the performance monitoring result of the first AI model that meets the preset requirements; The UE reports a request to abort the fallback beam information to the network-side device; The network-side device sends a confirmation message indicating that the performance monitoring result of the first AI model meets the preset requirements; Wherein, the second target operation is any one of the first operations.

20. The method according to claim 19, wherein The second time unit further includes at least one of the following: The time unit at which the second time unit starts; The time unit at which the second time unit ends; The first time unit before the second time unit; The x2-th time unit before the second time unit, where x2 is an integer greater than 1; The first time unit after the second time unit; The x3-th time unit after the second time unit, where x3 is an integer greater than 1.

21. The method according to any one of claims 15-20, wherein The network-side device uses the first beam information to perform information transmission with the user equipment UE, including: The network-side device receives or transmits first target information using the first beam information, and the first target information includes at least one of the following: PDCCH; PDSCH; Downlink reference signal; PUCCH; PUSCH; Uplink reference signal.

22. The method according to any one of claims 15-21, wherein, The network-side device uses the first beam information to perform information transmission with the user equipment UE, including: The network-side device, when meeting the first condition, uses the first beam information to perform information transmission with the UE, and the first condition includes at least one of the following: It is necessary to perform a first operation related to the first AI model; The performance monitoring result of the first AI model does not meet the preset requirements.

23. The method according to claim 17 or 19, wherein The preset requirements are determined according to at least one of the following model performance-related metrics or system performance metrics: Protocol agreement; Information configured by the network-side device; The result reported by the UE.

24. The method according to any one of claims 15-23, wherein, The first beam information is at least one of the following: When the beam information indicated by the network-side device is associated with the PCI of the serving cell, the first beam information is the beam information indicated by the network-side device most recently; When the beam information indicated by the network-side device is associated with the PCI of a non-serving cell, the first beam information is the QCL parameter of the PDCCH with respect to the RS of the CORESET associated with the search space having the lowest controlResourceSetId; SSB in the initial access or random access process; Beam information for PUSCH transmission scheduled by UL grant in the initial access or random access process; Beam information associated with the CORESET having the smallest ID on the time slot where one or more CORESETs are monitored most recently on the activated DL BWP of the serving cell; The most recently predicted default beam information; The most recently measured beam information; The most recently effective beam information; The most recently effective predicted beam information; The most recently reported beam information associated with a specific reporting configuration; The most recently measured predicted beam information; The first specific beam information among the most recently measured multiple predicted beam information; Resources measured during the most recent model monitoring process; Resources reported during the most recent model monitoring process.

25. The method according to claim 24, wherein, The most recent reference time is: the first time unit, or a moment related to the first time unit.

26. The method according to any one of claims 15-25, wherein, When the first beam information corresponds to multiple beams or multiple resources, it further includes: The UE determines one beam information or determines the specified beam information according to at least one of the beam information ID, resource ID, and time domain position; The UE uses the first beam information to perform information transmission, including: The UE uses the determined beam information or the determined specified beam information for information transmission.

27. The method according to any one of claims 15-26, wherein, The beam or resource corresponding to the first beam information is: the beam or resource that the UE has measured before the first time unit.

28. An information transmission device, wherein, including: A first transmission module, configured to use the first beam information for information transmission in a first time period from a first time unit to a second time unit, where the first time period is determined according to the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

29. An information transmission device, wherein, including: A second transmission module, configured to use the first beam information to perform information transmission with a user equipment (UE) in a first time period from a first time unit to a second time unit, where the first time period is determined according to the performance monitoring result of the first AI model used by the UE, or the first time period is a time period for performing a first operation related to the first AI model.

30. A user equipment, wherein, including a processor and a memory, where the memory stores a program or instruction that can run on the processor, and when the program or instruction is executed by the processor, the steps of the information transmission method according to any one of claims 1 to 14 are implemented.

31. A network-side device, wherein, including a processor and a memory, where the memory stores a program or instruction that can run on the processor, and when the program or instruction is executed by the processor, the steps of the information transmission method according to any one of claims 15 to 27 are implemented.

32. A readable storage medium, wherein, A program or instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the information transmission method according to any one of claims 1 to 14 are implemented, or the steps of the information transmission method according to any one of claims 15 to 27 are implemented.

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