Beam detection method, first device, and second device

Abstract

The present application relates to the field of communications. Disclosed are a beam detection method, a first device, and a second device. The beam detection method in the embodiments of the present application comprises: a first device predicting beam information on the basis of an artificial intelligence (AI) unit; and on the basis of the predicted beam information, the first device determining that a first BFI is about to occur.

Description

Beam detection method, first device and second device

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application claims priority to the Chinese patent application filed with the China Patent Office on February 5, 2024, with application number 202410165700.X and invention name “Beam Detection Method, First Device and Second Device”, the entire contents of which are incorporated by reference into this application. Technical Field

[0003] The present application relates to the field of communications, and more specifically, to a beam detection method, a first device, and a second device. Background Art

[0004] In the related art, beam failure detection (BFD) is used to detect whether beam failure (BF) occurs.

[0005] Specifically, the physical layer of the user equipment (UE) continuously tracks the beam failure detection (BFD) reference signal (RS) and calculates the hypothetical / assumed block error rate (BLER) based on the measured Layer 1 Signal to Interference plus Noise Ratio (L1-SINR). If the assumed BLER fails for all channels, this is recorded as a beam failure instance (BFI). After determining a BFI, the UE physical layer reports the event to the UE upper layer. The UE upper layer increases the BFI counter by 1. If the value of the BFI counter exceeds the threshold within the validity period of the timer, the UE determines that a BF has occurred.

[0006] However, the solution of performing BFD through BFDRS requires constant monitoring of BFDRS, which increases the overhead of time and frequency domain resources. Summary of the Invention

[0007] The embodiments of the present application provide a beam detection method, a first device, and a second device, which can not only save time-frequency domain resources but also improve the stability of the communication system connection.

[0008] In a first aspect, a beam detection method is provided, which is performed by a first device. The method includes:

[0009] The first device is based on an artificial intelligence (AI) unit that predicts beam information;

[0010] The first device determines that a first beam failure instance BFI will occur based on the predicted beam information.

[0011] In a second aspect, a beam detection method is provided, which is performed by a second device. The method includes:

[0012] The second device receives at least one of the first indication information and the third indication information from the first device;

[0013] The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

[0014] In a third aspect, a beam detection device is provided, comprising:

[0015] A first processing unit is configured to predict beam information based on an artificial intelligence (AI) unit;

[0016] The second processing unit is configured to determine that a first beam failure instance BFI will occur based on the predicted beam information.

[0017] In a fourth aspect, a beam detection device is provided, comprising:

[0018] a communication unit, configured to receive at least one of the first indication information and the third indication information from the first device;

[0019] The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

[0020] In a fifth aspect, a first device is provided, which includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the method described in the first aspect are implemented.

[0021] In a sixth aspect, a first device is provided, comprising a processor and a communication interface, wherein the processor is configured to:

[0022] Based on artificial intelligence AI unit, beam information is predicted;

[0023] Based on the predicted beam information, it is determined that a first beam failure instance BFI will occur.

[0024] In the seventh aspect, a second device is provided, which includes a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the method described in the second aspect are implemented.

[0025] In an eighth aspect, a second device is provided, comprising a processor and a communication interface, wherein the communication interface is configured to:

[0026] receiving at least one of first indication information and third indication information from the first device;

[0027] The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

[0028] In the ninth 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 are implemented, or the steps of the method described in the second aspect are implemented.

[0029] In the tenth aspect, a wireless communication system is provided, comprising: a first device and a second device, wherein the first device can be used to execute the steps of the method described in the first aspect, and the second device can be used to execute the steps of the method described in the second aspect.

[0030] In the eleventh aspect, a chip is provided, 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 steps of the method described in the first aspect, or to implement the steps of the method described in the second aspect.

[0031] In the twelfth aspect, a computer program / program product is provided, which is stored in a storage medium and is executed by at least one processor to implement the steps of the method described in the first aspect, or to implement the steps of the method described in the second aspect.

[0032] In an embodiment of the present application, the method includes: a first device predicts beam information based on an artificial intelligence (AI) unit; and the first device determines that a first BFI will occur based on the predicted beam information. On the one hand, by predicting the beam information through the AI ​​unit, it is avoided to determine the BFI by monitoring the BFDRS, thereby saving time-frequency domain resources. On the other hand, the first device determines that a first BFI will occur based on the predicted beam information. The first BFI can be used by the first device to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This not only reduces the number of beam failure recovery and candidate beam monitoring, further saves time-frequency domain resources, but also reduces the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0034] FIG1 is an example of a system architecture provided in an embodiment of the present application.

[0035] FIG2 is an example of a prediction principle of an AI unit provided in an embodiment of the present application.

[0036] FIG3 is an example of the prediction principle of another AI unit provided in an embodiment of the present application.

[0037] FIG4 is an example of the prediction principle of another AI unit provided in an embodiment of the present application.

[0038] FIG5 is a schematic flowchart of a beam detection method provided in an embodiment of the present application.

[0039] FIG6 is a schematic flowchart of a beam detection method provided in an embodiment of the present application.

[0040] FIG7 is a schematic block diagram of a beam detection device provided in an embodiment of the present application.

[0041] FIG8 is a schematic block diagram of another beam detection device provided in an embodiment of the present application.

[0042] FIG9 is a schematic block diagram of a communication device provided in an embodiment of the present application.

[0043] FIG10 is a schematic diagram of the hardware structure of a terminal provided in an embodiment of the present application.

[0044] FIG11 is a schematic block diagram of a network-side device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0045] 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.

[0046] The terms "first", "second", etc. in this application are used to distinguish similar objects, and are not used to describe a specific order. It should be understood that the terms used in this way are interchangeable where appropriate, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first" and "second" are generally of the same type, and do not limit the number of objects, for example, the first object can be one or more. In addition, "or" in this application represents at least one of the connected objects. For example, "A or B" covers three options, namely, Option 1: including A but not including B; Option 2: including B but not including A; Option 3: including both A and B. The character " / " generally indicates that the objects associated before and after are in an "or" relationship.

[0047] 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.

[0048] 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 the 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 the 6th generation (6G) system. th Generation, 6G) communication system.

[0049] FIG1 shows a block diagram of a wireless communication system applicable to an embodiment of the present application.

[0050] As shown in FIG1 , the wireless communication system includes a terminal 11 and a network-side device 12. The terminal 11 may be a mobile phone, tablet computer, laptop computer, notebook computer, personal digital assistant (PDA), handheld computer, netbook, ultra-mobile personal computer (UMPC), mobile internet device (MID), augmented reality (AR), virtual reality (VR) device, robot, wearable device, flight vehicle, vehicle user equipment (VUE), shipborne equipment, pedestrian user equipment (PUE), smart home (home appliances with wireless communication capabilities, such as refrigerators, televisions, washing machines, or furniture), game console, personal computer (PC), ATM, self-service kiosk, or other terminal-side devices. 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, vehicle-mounted controller, vehicle-mounted module, vehicle-mounted component, vehicle-mounted chip or 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.

[0051] The network side device 12 may include an access network device.

[0052] Access network equipment may also be referred to as radio access network (RAN) equipment, radio access network functions, or radio access network units. Access network equipment may include base stations, wireless local area network (WLAN) access points (APs), or wireless fidelity (WiFi) nodes. 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 (homeevolved Node B), Transmission Reception Point (TRP) or other appropriate terms in the field. As long as the same technical effect is achieved, the base station is not limited to a 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.

[0053] In order to facilitate a better understanding of the embodiments of the present application, the technologies related to the present application are explained.

[0054] (1) A solution for beam prediction using artificial intelligence (AI) methods.

[0055] In one possible approach, as shown in Figure 2, the Reference Signal Received Power (RSRP) of a subset of beam pairs is used as input, and the AI ​​unit outputs the RSRP results for all beam pairs. A beam pair consists of a transmit beam and a receive beam. The AI ​​unit's input count is the number of selected beam pairs, and its output count is the number of all beam pairs.

[0056] In another possible approach, as shown in Figure 3, contextual information is added to the input. This contextual information typically includes information about the angles corresponding to the selected beam pairs used for input, as well as beam identification (ID) information. Therefore, the number of inputs to this AI unit 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.

[0057] In another possible method, as shown in FIG4 , the output of the AI ​​unit is affected by changing the desired information input by the AI ​​unit. The input of the AI ​​unit includes at least one of the following:

[0058] Information related to beam quality;

[0059] Beam information, including at least one of the following: transmitting beam information of end A, receiving beam information of end B, and expected beam information of end B;

[0060] The expected information includes at least one of the following: beam information expected by the B-side and information related to the expected prediction time; the beam information expected by the B-side includes at least one of the following: receiving beam information expected by the B-side and transmitting beam information expected by the B-side;

[0061] Time-dependent information related to beam quality.

[0062] (2) Beam Failure Recovery (BFR).

[0063] High-frequency beams are easily blocked by moving objects and the rotation of user equipment (UE), which can lead to the inability to transmit using the original transmit / receive beam pair. The BFR mechanism can quickly restore beam connections at the physical layer to avoid frequent cell switching.

[0064] The BFR mechanism includes: Beam Failure Detection (BFD), New candidate beam identification, Beam failure recovery request transmission, and UE monitors gNB response for beam failure recovery request.

[0065] For a serving cell, the UE monitors the beam failure detection reference signal (RS) on all serving beams to evaluate whether the beam failure detection trigger condition is met. If the metric values ​​of all serving beams are detected to meet the preset conditions, the beam failure instance (BFI) count is increased by 1. After determining a BFI, the UE physical layer reports an indication to the UE upper layer (Media Access Control (MAC) layer). This reporting process is periodic. Conversely, if the UE physical layer determines that no BFI has occurred, it does not send a BFI indication to the UE upper layer.

[0066] Metric: Hypothetical Physical Downlink Control Channel (PDCCH) Block Error Rate (BLER). The UE measures the performance of the Reference Signal (RS) in the same beam as the downlink control channel and infers the PDCCH BLER based on the measured RS Signal to Interference plus Noise Ratio (SINR), eliminating the need for actual PDCCH demodulation and decoding.

[0067] In addition, each time the higher layer receives a BFI indication, the BFD timer is restarted and the BFI counter is incremented by 1. If the BFD timer expires, the BFI counter is cleared. If a BFI indication is received before the BFD timer expires, the BFI counter continues to increment by 1 and the BFD timer is restarted, meaning the BFD timer is restarted. If the number of detected BFIs exceeds the configured maximum number, a beam failure (BF) is determined, meaning all serving beams fail.

[0068] When the UE higher layer (MAC layer) fails to determine the beam, the UE physical layer measures the candidate beam reference signal (candidate beam RS) to find a new candidate beam.

[0069] It should be noted that this step is not mandatory to be performed after a beam failure event occurs, but can also be performed before.

[0070] Specifically, when the UE physical layer receives a request, instruction, or notification from the UE upper layer (MAC layer), it reports the measurement results that meet the preset conditions to the UE upper layer. The reported content is {beam RS index, L1-RSRP}. The UE upper layer selects the candidate beam based on the report of the physical layer.

[0071] As can be seen from the above, the physical layer of the user equipment (UE) continuously tracks the beam failure detection (BFD) reference signal (beam failure detection RS) and calculates the assumed block error rate (BLER) based on the measured layer 1 signal to interference plus noise ratio (L1-SINR). When the assumed BLER fails for all channels, it is recorded as a beam failure instance (BFI). After determining a BFI, the UE physical layer reports the event to the UE upper layer. The UE upper layer increases the BFI counter by 1. If the value of the BFI counter exceeds the threshold within the validity period of the timer, the UE determines that a BF has occurred.

[0072] However, the BFD solution using BFD RS requires constant monitoring of the BFD RS, which increases the overhead of time-frequency domain resources. On the other hand, there is a delay in determining BF, which causes delays in operations such as cell switching, reducing the stability of the communication system connection.

[0073] In view of this, an embodiment of the present application provides a beam detection method, which can not only save time-frequency domain resources, but also improve the stability of communication system connections.

[0074] Specifically, this application uses an AI unit to perform model inference to predict beam information, which can predict more or even all beam information or beam quality information. Secondly, the AI ​​unit also has the function of time domain prediction. If this function is turned on, it can also predict the beam information or beam quality information at future times. In the above-mentioned case, the reasoning side of the AI ​​unit is able to obtain more or all prediction information (spatial domain or time domain). This application takes into account that since the AI ​​unit reasoning side can obtain beam information, especially the AI ​​unit can predict information at future moments, the beam information predicted by the AI ​​unit can also be used for beam detection. For example, the beam information predicted by the AI ​​unit is used to determine that BFI will occur. On the one hand, by predicting the beam information through the AI ​​unit, it is avoided to determine the BFI by monitoring the BFD RS, thereby saving time-frequency domain resources. On the other hand, based on the predicted beam information, it is determined that BFI will occur, which can be used to determine the occurrence of beam failure in advance, and then perform cell switching and other operations in advance. It can not only reduce the number of beam failure recovery and candidate beam monitoring, further save time-frequency domain resources, but also reduce the user experience problem of disconnection caused by beam failure, thereby improving the stability of the communication system connection.

[0075] The beam detection method provided in the embodiments of the present application is described in detail below through some embodiments and their application scenarios in combination with the accompanying drawings.

[0076] FIG5 is a schematic flowchart of a beam detection method 210 according to an embodiment of the present application.

[0077] As shown in FIG5 , the beam detection method 210 may include at least part of the following:

[0078] S211, the first device predicts beam information based on the artificial intelligence AI unit.

[0079] Exemplarily, the first timing may be the current timing, or a future timing after the current timing. The first timing may be continuous with the current timing, or there may be an interval between the first timing and the current timing.

[0080] S212: The first device determines that a first beam failure instance BFI will occur based on the predicted beam information.

[0081] Exemplarily, the first device predicts beam information based on the AI ​​unit at the physical layer. The first BFI is a possible BFI, also referred to as a hypothetical (assumed) BFI.

[0082] In this embodiment, on the one hand, the first device is avoided from monitoring BFDRS, thereby saving time-frequency domain resources. On the other hand, the first device determines that a first BFI will occur based on the predicted beam information. The first BFI can be used by the first device to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This not only reduces the number of beam failure recovery and candidate beam monitoring, further saving time-frequency domain resources, but also reduces the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection.

[0083] It should be noted that the AI ​​unit may also be referred to as an AI model, AI structure, etc., or the AI ​​unit may also refer to a processing unit that can implement specific AI-related algorithms, formulas, processing procedures, capabilities, etc., or the AI ​​unit may be a processing method, algorithm, function, module or unit for a specific data set, or the AI ​​unit may be a processing method, algorithm, function, module or unit running on AI-related hardware such as a graphics processing unit (GPU), a neural network processing unit (NPU), a tensor processing unit (TPU), or an application-specific integrated circuit (ASIC). This application does not make any specific limitations on this.

[0084] Exemplarily, the specific data set may include at least one of the input and output of the AI ​​unit. Optionally, the identifier of the AI ​​unit may be an AI model identifier, an AI structure identifier, an AI algorithm identifier, or an identifier of a specific data set associated with the AI ​​unit, or an identifier of a specific scenario, environment, channel feature, or device associated with the AI, or an identifier of a function, feature, capability, or module associated with the AI, which is not specifically limited in this application.

[0085] Beam quality information includes but is not limited to at least one of the following types: Layer 1 Signal to Interference plus Noise Ratio (L1-SINR), Layer 1 Reference Signal Receiving Power (L1-RSRP), Layer 1 Reference Signal Receiving Quality (L1-RSRQ), L3-SINR, L3-RSRP, L3-RSRQ, etc.

[0086] The beam information includes but is not limited to at least one of the following: beam ID information, beam angle information, beam gain information, beam width information, expectation information, beam quality information, etc.

[0087] Among them, the beam ID information is used to characterize the relevant information of the identity identification of the beam, including but not limited to at least one of the following: transmitting beam ID, receiving beam ID, beam ID, reference signal set (set) ID corresponding to the beam, reference signal resource (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-RS resource indication (CSI-RS Resource Indicator, CRI), SSB resource block indication (SS / PBCH Resource Block Indicator, SSBRI), transmission configuration indication (Transmission configuration indication, TCI) state, etc.

[0088] Beam angle information is used to represent the angle information corresponding to the beam, including but not limited to at least one of the following: angle information, transmission angle information, and reception angle information. Angle information is related information used to represent angles or identities, such as angles, radians, index encoding values, ID values, and encoding values ​​processed by additional AI units.

[0089] In some embodiments, the S211 includes:

[0090] The first device predicts beam information corresponding to each of M1 opportunities based on the AI ​​unit;

[0091] Wherein, the S212 includes:

[0092] The first device determines that the first BFI will occur based on beam information corresponding to each of the M1 occasions.

[0093] Exemplarily, M1 is a positive integer, which can be 1 or greater than 1.

[0094] In some embodiments, the first device determines that the first BFI will occur based on beam information corresponding to each of the M1 opportunities, including:

[0095] In the M1 opportunities, if each beam information in the N1 beam information corresponding to each opportunity or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to a first threshold, the first device determines that the first BFI will occur: or

[0096] Selecting M2 opportunities that meet the first condition from the M1 opportunities, if each beam information in the N1 beam information corresponding to each opportunity in the M2 opportunities or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to a first threshold, then the first device determines that the first BFI will occur: or

[0097] Selecting, from the M1 opportunities, M2 opportunities in which each beam information in the N1 beam information or each beam information in the N2 beam information is less than or equal to a first threshold, and if the M2 opportunities meet a first condition, determining, by the first device, that the first BFI will occur;

[0098] Among them, M1 is greater than or equal to M2, and N1 is greater than or equal to N2.

[0099] In some embodiments, the first condition includes at least one of the following: the M2 opportunities are continuous, the M2 opportunities are within a first preset time window, the time interval between two adjacent opportunities in the M2 opportunities is greater than or equal to a reference time interval, and the first numerical value determined based on the weight of the M2 opportunities is greater than or equal to a second threshold.

[0100] In some embodiments, the method 210 further includes:

[0101] The first device determines the number of the first BFIs based on at least one of M2 and a second value.

[0102] Exemplarily, the first device determines the number of the first BFIs as the product of M2 and a second value.

[0103] Exemplarily, the first device determines the second value as the number of the first BFIs.

[0104] Exemplarily, the second value may be determined by at least one of network configuration, protocol agreement, UE reporting, etc.

[0105] In some embodiments, the S211 includes:

[0106] The first device predicts beam information K1 times based on the AI ​​unit;

[0107] Wherein, the S212 includes:

[0108] The first device determines that the first BFI will occur based on the beam information corresponding to the first timing in the K1 prediction results.

[0109] For example, the K1 execution times may be different. For example, K1 times refers to the prediction performed by the AI ​​unit at K1 times, with prediction performed once at each of the K1 times.

[0110] Exemplarily, the execution timings of K1 times may be the same. For example, K1 times means that the AI ​​unit predicts K1 times at the same timing.

[0111] In some embodiments, the first device determines that the first BFI will occur based on beam information corresponding to the first timing in the K1 prediction results, including:

[0112] In each prediction result of the K1 prediction results, if each beam information in the N1 beam information corresponding to the first timing or each beam information in the N2 beam information corresponding to the first timing is less than or equal to a third threshold, the first device determines that the first BFI will occur:

[0113] Selecting K2 prediction results that satisfy the second condition from the K1 prediction results, and in each prediction result of the K2 prediction results, if each beam information in the N1 beam information corresponding to the first timing or each beam information in the N2 beam information corresponding to the first timing is less than or equal to a third threshold, then the first device determines that the first BFI will occur: or

[0114] Selecting, from the K1 prediction results, K2 prediction results in which each piece of beam information in the N1 pieces of beam information corresponding to the first timing or each piece of beam information in the N2 pieces of beam information corresponding to the first timing in each prediction result is less than or equal to a third threshold, and if the K2 prediction results satisfy a second condition, determining, by the first device, that the first BFI will occur;

[0115] Among them, K1 is greater than or equal to K2, and N1 is greater than or equal to N2.

[0116] In some embodiments, the second condition includes at least one of the following: the K2 prediction results are continuous, the timing of the K2 prediction results is within a second preset time window, the time interval between two adjacent prediction results in the K2 prediction results is greater than or equal to a reference time interval, a third value determined based on the weight of the timing of the K2 prediction results is greater than or equal to a fourth threshold, and the K2 prediction results are the most recent K2 prediction results of the AI ​​unit.

[0117] In some embodiments, the method 210 further includes:

[0118] The first device determines a fourth value as the number of the first BFIs.

[0119] Exemplarily, the fourth value may be determined by at least one of network configuration, protocol agreement, UE reporting, etc.

[0120] In some embodiments, the reference time interval includes at least one of the following: a time interval required by BFI, a timing period required by BFI, a measurement resource period of the input information of the AI ​​unit, and a configuration period of a beam failure detection reference signal BFD RS.

[0121] In some embodiments, the method 210 further includes:

[0122] The first device receives first indication information from the physical layer through a higher layer, where the first indication information is used to indicate the number of the first BFIs.

[0123] Exemplarily, when the first device is a terminal, the first device receives the first indication information from the physical layer through a higher layer.

[0124] Exemplarily, the first indication information is used to indicate the number of the first BFIs, which can be equivalently replaced by the number of times the first indication information is sent being determined according to the number of the first BFIs, for example, the number of times the first indication information is sent is equal to the number of the first BFIs.

[0125] In some embodiments, the method 210 further includes:

[0126] The first device starts or restarts the first timer: or

[0127] The first device starts or restarts the second timer; or

[0128] The first device starts or restarts the first timer and the second timer.

[0129] In some embodiments, the method 210 further includes:

[0130] The first device receives second indication information from the physical layer through a higher layer, where the second indication information is used to indicate a number of second BFIs that occur based on a beam failure detection reference signal BFDRS;

[0131] The first device starts or restarts the third timer, or the first device starts or restarts the second timer, or the first device starts or restarts the third timer and the second timer.

[0132] Exemplarily, the second indication information is used to indicate the number of the second BFIs, which can be equivalently replaced by the number of times the second indication information is sent being determined according to the number of the second BFIs, for example, the number of times the second indication information is sent is equal to the number of the second BFIs.

[0133] In some embodiments, the method 210 further includes:

[0134] The first device sends first indication information to the second device, where the first indication information is used to indicate the number of the first BFIs.

[0135] Exemplarily, when the first device is a network-side device, the first device sends the first indication information to the second device. For example, the network-side device sends the first indication information to a terminal.

[0136] Exemplarily, the first indication information is used to indicate the number of the first BFIs, which can be equivalently replaced by the number of times the first indication information is sent being determined according to the number of the first BFIs, for example, the number of times the first indication information is sent is equal to the number of the first BFIs.

[0137] In some embodiments, the first indication information is prohibited from being sent again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI ​​unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

[0138] In some embodiments, the method 210 further includes:

[0139] If at least one of the following conditions is met, the first device determines that a beam failure BF occurs:

[0140] The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold;

[0141] The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFDRS.

[0142] Exemplarily, the first indication information is used to indicate the number of the first BFIs, and can be equivalently replaced by: the number of times the first indication information is sent is determined based on the number of the first BFIs, for example, the number of times the first indication information is sent is equal to the number of the first BFIs. Similarly, the second indication information is used to indicate the number of the second BFIs, and can be equivalently replaced by: the number of times the second indication information is sent is determined based on the number of the second BFIs, for example, the number of times the second indication information is sent is equal to the number of the second BFIs.

[0143] In some embodiments, the value of the third counter is determined based on at least one of the following:

[0144] the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product;

[0145] The first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

[0146] In some embodiments, the method 210 further includes:

[0147] The first device sends third indication information to the second device, where the third indication information is used to indicate that a beam failure occurs.

[0148] FIG6 is a schematic flowchart of a beam detection method 220 provided in an embodiment of the present application.

[0149] As shown in FIG6 , the beam detection method 220 may include at least part of the following:

[0150] S221, the second device receives at least one of the first indication information and the third indication information from the first device;

[0151] The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

[0152] Exemplarily, the first indication information is used to indicate the number of the first BFIs, which can be equivalently replaced by the number of times the first indication information is sent being determined according to the number of the first BFIs, for example, the number of times the first indication information is sent is equal to the number of the first BFIs.

[0153] In an embodiment of the present application, the second device receives at least one of the first indication information and the third indication information from the first device; wherein, the first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the prediction of beam information by the artificial intelligence AI unit, and the third indication information is used to indicate the occurrence of beam failure. On the one hand, by predicting the beam information by the AI ​​unit, it is avoided to determine the BFI by monitoring the BFD RS, thereby saving time-frequency domain resources. On the other hand, based on the beam information predicted by the AI ​​unit, the number of first BFIs that will occur is determined. The number of the first BFIs can be used to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This can not only reduce the number of beam failure recovery and candidate beam monitoring, further save time-frequency domain resources, but also reduce the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection.

[0154] In some embodiments, the second device receives the first indication information from the first device, and the method 220 further includes:

[0155] The second device starts or restarts the first timer: or

[0156] The second device starts or restarts a second timer; or

[0157] The second device starts or restarts the first timer and the second timer.

[0158] In some embodiments, the method 220 further includes:

[0159] The second device receives second indication information from the physical layer through a higher layer, where the second indication information is used to indicate a number of second BFIs that occur based on a beam failure detection reference signal BFD RS;

[0160] The second device starts or restarts the third timer, or the second device starts or restarts the second timer, or the second device starts or restarts the third timer and the second timer.

[0161] Exemplarily, the second indication information is used to indicate the number of the second BFIs, which can be equivalently replaced by the number of times the second indication information is sent being determined according to the number of the second BFIs, for example, the number of times the second indication information is sent is equal to the number of the second BFIs.

[0162] In some embodiments, the first indication information is prohibited from being sent again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI ​​unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

[0163] In some embodiments, the second device receives the first indication information from the first device, and the method 220 further includes:

[0164] The second device determines that a beam failure BF occurs if at least one of the following is satisfied:

[0165] The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold;

[0166] The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFD RS.

[0167] Exemplarily, the first indication information is used to indicate the number of the first BFIs, which can be equivalently replaced by the number of times the first indication information is sent being determined according to the number of the first BFIs, for example, the number of times the first indication information is sent is equal to the number of the first BFIs.

[0168] In some embodiments, the value of the third counter is determined based on at least one of the following:

[0169] the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product;

[0170] The first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

[0171] The beam detection method provided in the embodiment of the present application can be executed by a beam detection device. In the embodiment of the present application, the beam detection device provided in the embodiment of the present application is described by taking the beam detection method performed by the beam detection device as an example.

[0172] The solution provided in this application is described below with reference to specific embodiments.

[0173] Example 1:

[0174] In this embodiment, the first device predicts beam information corresponding to each of the M1 opportunities based on the AI ​​unit. The first device determines that a first BFI will occur based on the beam information corresponding to each of the M1 opportunities. In other words, the first device determines that a first BFI will occur based on the beam information corresponding to the M1 opportunities predicted by the AI ​​unit.

[0175] Exemplarily, in the M1 opportunities, if each beam information in the N1 beam information corresponding to each opportunity or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to the first threshold, the first device determines that the first BFI will occur.

[0176] Exemplarily, M2 opportunities that meet the first condition are selected from the M1 opportunities. If each beam information in the N1 beam information corresponding to each opportunity in the M2 opportunities or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to the first threshold, the first device determines that the first BFI will occur.

[0177] Exemplarily, among the M1 opportunities, M2 opportunities are selected in which each beam information in the N1 beam information or each beam information in the N2 beam information is less than or equal to the first threshold. If the M2 opportunities meet the first condition, the first device determines that the first BFI will occur.

[0178] Among them, M1 is greater than or equal to M2, and N1 is greater than or equal to N2.

[0179] Among them, the first condition includes at least one of the following: the M2 opportunities are continuous, the M2 opportunities are within a first preset time window, the time interval between two adjacent opportunities in the M2 opportunities is greater than or equal to a reference time interval, and the first numerical value determined based on the weight of the M2 opportunities is greater than or equal to a second threshold.

[0180] Exemplarily, the first device determines the number of the first BFIs based on at least one of M2 and a second value.

[0181] The following describes the technical solution of this embodiment by taking the first device as a UE and the second value as x as an example.

[0182] Exemplarily, if each beam information in the N1 beam information corresponding to each of the M1 moments predicted by the AI ​​unit or each beam information in the N2 beam information corresponding to each moment is less than or equal to the first threshold, the UE determines that the number of the first BFI is x.

[0183] Exemplarily, if each beam information of the N1 beam information corresponding to each of at least M2 moments in the M1 moments predicted by the AI ​​unit or each beam information of the N2 beam information corresponding to each moment is less than or equal to the first threshold, the UE determines that the number of the first BFI is x.

[0184] For example, if each piece of beam information in all beam information of one of the predicted M1 occasions is less than or equal to the first threshold, the UE reports a BFI indication to the UE upper layer once.

[0185] For example, if each piece of all beam information of two of the predicted M1 occasions is less than or equal to the first threshold, the UE reports a BFI indication to the UE upper layer once.

[0186] For example, if each beam information of all beam information of M2-1 occasions among the predicted M1 occasions is less than or equal to the first threshold, the UE does not consider that BFI is detected, that is, the BFI indication is not reported.

[0187] For example, if each piece of beam information of all beam information of M2 occasions among the predicted M1 occasions is less than or equal to the first threshold, the UE reports a BFI indication to the UE upper layer.

[0188] Exemplarily, if each piece of N1 beam information corresponding to each of the M1 moments that meet the first condition predicted by the AI ​​unit or each piece of N2 beam information corresponding to each moment is less than or equal to a first threshold, the UE determines the number of the first BFIs to be x. The first condition includes at least one of the following: the M2 moments are continuous, the M2 moments are within a first preset time window, the time interval between two adjacent moments in the M2 moments is greater than or equal to a reference time interval, and the first value determined based on the weight of the M2 moments is greater than or equal to a second threshold.

[0189] For example, if each beam information of all beam information of 2 of the predicted M1 occasions is less than or equal to the first threshold, but the time interval between the two occasions is close and does not meet or match the configuration period of BFD RS, the UE will not report the BFI indication to the UE upper layer.

[0190] Exemplarily, if each beam information of the N1 beam information corresponding to each of at least M2 consecutive moments in the M1 moments predicted by the AI ​​unit or each beam information of the N2 beam information corresponding to each moment is less than or equal to the first threshold, the UE determines that the number of the first BFI is x.

[0191] Exemplarily, if each beam information in the N1 beam information corresponding to any one of the M1 moments predicted by the AI ​​unit or each beam information in the N2 beam information corresponding to each moment is less than or equal to the first threshold, the UE determines that the number of the first BFI is x.

[0192] For example, if each beam information of all beam information of 2 occasions among the predicted M1 occasions is less than or equal to the first threshold, the UE reports the BFI indication twice to the UE upper layer, or reports the BFI indication to represent the counter + 2x.

[0193] It should be understood that the x, N1, N2, M1, M2, the first threshold or the second threshold mentioned above can be determined by at least one of network configuration, protocol agreement, UE reporting, etc., for example, the protocol stipulates x=1.

[0194] Example 2:

[0195] In this embodiment, the first device predicts beam information K1 times based on the AI ​​unit. Based on the beam information corresponding to the first opportunity in the K1 prediction results, the first device determines that the first BFI will occur. In other words, the first device determines the first BFI based on the K1 prediction results of the AI ​​unit for the first opportunity.

[0196] Exemplarily, in each prediction result of the K1 prediction results, if each beam information of the N1 beam information corresponding to the first opportunity or each beam information of the N2 beam information corresponding to the first opportunity is less than or equal to a third threshold, the first device determines that the first BFI will occur.

[0197] Exemplarily, K2 prediction results that meet the second condition are selected from the K1 prediction results. In each prediction result of the K2 prediction results, if each beam information of the N1 beam information corresponding to the first opportunity or each beam information of the N2 beam information corresponding to the first opportunity is less than or equal to the third threshold, the first device determines that the first BFI will occur.

[0198] Exemplarily, among the K1 prediction results, K2 prediction results are selected in which each beam information of the N1 beam information corresponding to the first moment in each prediction result or each beam information of the N2 beam information corresponding to the first moment is less than or equal to a third threshold. If the K2 prediction results meet the second condition, the first device determines that the first BFI will occur.

[0199] Among them, K1 is greater than or equal to K2, and N1 is greater than or equal to N2.

[0200] Among them, the second condition includes at least one of the following: the K2 prediction results are continuous, the timing of the K2 prediction results is within a second preset time window, the time interval between two adjacent prediction results in the K2 prediction results is greater than or equal to a reference time interval, the third value determined based on the weight of the timing of the K2 prediction results is greater than or equal to a fourth threshold, and the K2 prediction results are the most recent K2 prediction results of the AI ​​unit.

[0201] Exemplarily, the first device determines the fourth value as the number of the first BFIs.

[0202] The following describes the technical solution of this embodiment by taking the first device as a terminal and the fourth value as y as an example.

[0203] Exemplarily, if each piece of N1 beam information corresponding to the first moment predicted by the AI ​​unit for K1 consecutive times or each piece of N2 beam information corresponding to each moment is less than or equal to a third threshold, the UE determines the number of the first BFIs for the first moment to be y.

[0204] For example, time-domain predictions smoothly shift to predict future moments because a future moment may be predicted multiple times. At moment 5, the AI ​​unit performs model inference and predicts beam information for moments 6 to 15. Each piece of beam information at moment 10 is less than or equal to the third threshold. At moment 6, the AI ​​unit performs model inference and predicts beam information for moments 7 to 16. In this prediction, each piece of beam information at moment 10 is less than or equal to the third threshold. If N3 = 2, the UE reports a BFI indication.

[0205] Exemplarily, starting from the point where each piece of N1 beam information corresponding to the first opportunity predicted by the AI ​​unit for the first time or each piece of N2 beam information corresponding to each opportunity is less than or equal to a third threshold, within a second preset time window, if each piece of N1 beam information corresponding to the first opportunity or each piece of N2 beam information corresponding to each opportunity predicted by the AI ​​unit for K2 times is less than or equal to the third threshold, then the UE determines the number of the first BFIs for the first opportunity as y. The second preset time window may be determined by at least one of a protocol agreement, a network configuration, or a UE report.

[0206] For example, at the 5th moment, the AI ​​unit performs model reasoning to predict the beam information at moments 6 to 15, where each beam information in all the beam information at moment 10 is less than or equal to the third threshold. At the 6th moment, the AI ​​unit performs model reasoning to predict the beam information at moments 7 to 16. In this prediction, there is beam information greater than the third threshold in all the beam information at moment 10 (the condition is not met). At the 7th moment, the AI ​​unit performs model reasoning to predict the beam information at moments 8 to 17. In this prediction, each beam information in all the beam information at moment 10 is less than or equal to the third threshold. However, from the 5th moment to the 7th moment, it is all within the second preset time window, K2=2. Therefore, the UE reports the BFI indication at this moment.

[0207] Exemplarily, starting from the first time that each beam information of the N1 beam information corresponding to the first moment or each beam information of the N2 beam information corresponding to each moment is less than or equal to the third threshold value, within the second preset time window, the third value determined at the moment where the prediction result of each beam information of the N1 beam information corresponding to the first moment or each beam information of the N2 beam information corresponding to each moment predicted by the AI ​​unit is less than or equal to the third threshold value is greater than the preset fourth threshold value, then the UE determines the number of the first BFI for the first moment to be y. The preset time window can be determined by at least one of protocol agreement, network configuration, or UE reporting, and the third value is determined according to the sum of weights corresponding to the moments where the prediction result of each beam information of the N1 beam information corresponding to the first moment or each beam information of the N2 beam information corresponding to each moment is less than or equal to the third threshold value within the second preset time window.

[0208] Exemplarily, starting from the first time that each beam information of the N1 beam information corresponding to the first moment predicted by the AI ​​unit or each beam information of the N2 beam information corresponding to each moment is less than or equal to the third threshold, within the second preset time window, the last K2 times (also referred to as the K2 prediction results closest to the current moment or the latest K2 prediction results) predicted by the AI ​​unit for each beam information of the N1 beam information corresponding to the first moment or each beam information of the N2 beam information corresponding to each moment is less than or equal to the third threshold, then the UE determines the number of the first BFI for the first moment to be y. The second preset time window can be determined by at least one of protocol agreement, network configuration, or UE reporting.

[0209] It should be understood that the above-mentioned y, N1, N2, K1, K2, the third threshold or the fourth threshold may be determined by at least one of network configuration, protocol agreement, UE reporting, etc., for example, the protocol stipulates that y=1.

[0210] Example 3:

[0211] In this embodiment, the first device determines that BF occurs if at least one of the following conditions is met:

[0212] The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold;

[0213] Among them, the first counter is a counter that determines the updated value according to the first indication information, the second counter is a counter that determines the updated value according to the second indication information, the value of the third counter is determined according to the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of first BFIs that will occur based on the AI ​​unit predicted beam information, and the second indication information is used to indicate the number of second BFIs that will occur based on the detection beam failure detection reference signal BFDRS.

[0214] Exemplarily, the value of the third counter is determined based on at least one of the following:

[0215] the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product; wherein the first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

[0216] The following describes the technical solution of this embodiment by taking the first device as a UE as an example:

[0217] The UE determines that BF occurs if at least one of the following conditions is met:

[0218] The value of the first counter is greater than or equal to the fifth threshold or the value of the second counter is greater than or equal to the sixth threshold;

[0219] For example, when the value of the second counter is less than the sixth threshold, if the value of the first counter is greater than or equal to the fifth threshold, the UE determines that a BF has occurred. For example, when the value of the second counter is greater than or equal to the sixth threshold, or the value of the first counter is greater than or equal to the fifth threshold, the UE determines that a BF has occurred. For example, when the value of the second counter is greater than or equal to the sixth threshold, and the value of the first counter is greater than or equal to the fifth threshold, the UE determines that a BF has occurred.

[0220] The value of the third counter is greater than or equal to the seventh threshold; that is, the value of the third BFI counter determined according to the value of the first counter and the value of the second counter is greater than or equal to the seventh threshold.

[0221] For example, the third BFI counter is equal to the value of the first counter + the value of the second counter.

[0222] For example, the third BFI counter is equal to the value of the first counter*a+the value of the second counter.

[0223] For example, the third BFI counter is equal to the value of the first counter+the value of the second counter*b.

[0224] For example, the third BFI counter is equal to the value of the first counter*a+the value of the second counter*b.

[0225] It should be understood that a and b above represent weight coefficients of the first counter and the second counter, respectively, and may be determined by at least one of network configuration, protocol agreement, UE reporting, etc. Furthermore, the fifth threshold, sixth threshold, or seventh threshold mentioned above may be determined by at least one of network configuration, protocol agreement, UE reporting, etc.

[0226] Example 4:

[0227] In this embodiment, after the first device obtains the first indication information, the first device starts or restarts the first timer; or the first device starts or restarts the second timer; or the first device starts or restarts the first timer and the second timer. The first indication information is used to indicate the number of first BFIs that will occur based on the AI ​​unit predicted beam information.

[0228] Exemplarily, the first device obtains second indication information, where the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFD RS; the first device starts or restarts the third timer, or the first device starts or restarts the second timer, or the first device starts or restarts the third timer and the second timer.

[0229] The solution of this embodiment is described below by taking an example in which a higher layer of a first device obtains the first indication information through a physical layer.

[0230] Exemplarily, the manner in which the UE obtains the first indication information includes:

[0231] If the UE performs model inference of the AI ​​unit, the UE reports the first indication information to the UE upper layer.

[0232] If the UE performs model inference of the AI ​​unit and reports model inference related information, the network indicates the UE the first indication information.

[0233] If the model inference of the AI ​​unit is performed by the network side device, the network indicates the first indication information to the UE, or the network side indicates that the UE has a BF.

[0234] The following describes the UE timer (when the timer expires, the corresponding counter is cleared) in conjunction with the counter.

[0235] Exemplarily, the first counter is a counter that determines an updated value based on first indication information, the second counter is a counter that determines an updated value based on second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFDRS, and the UE's timer satisfies at least one of the following:.

[0236] 1 timer:

[0237] The first counter and the second counter use the same timer, namely the second timer. When the upper layer receives the first indication information or the second indication information, it starts or resets the second timer.

[0238] 2 timers:

[0239] For example, the first counter corresponds to the first timer, and the second counter corresponds to the third timer. When the upper layer receives the first indication information, it starts or resets the first timer; when the upper layer receives the second indication information, it starts or resets the third timer.

[0240] For another example, the first counter corresponds to the first timer and the second timer, and the second counter corresponds to the second timer. When the upper layer receives the first indication information, it starts or resets the first timer and the second timer; when the upper layer receives the second indication information, it starts or resets the second timer.

[0241] For another example, the first counter corresponds to the second timer, and the second counter corresponds to the third timer and the second timer; when the upper layer receives the first indication information, the second timer is started or reset; when the upper layer receives the second indication information, the third timer and the second timer are started or reset.

[0242] 3 timers:

[0243] The first counter and the second counter correspond to the first timer and the third timer respectively, and both correspond to the second timer. When the upper layer receives the first indication information, the first timer and the second timer are started or reset; when the upper layer receives the second indication information, the third timer and the second timer are started or reset.

[0244] It should be understood that the number of timers, the length of the timers or the corresponding relationship between the timers involved above are determined by at least one of UE reporting, network configuration, protocol agreement, etc.

[0245] Example 5:

[0246] In this embodiment, the first device determines that a first BFI will occur based on the beam information predicted by the AI ​​unit, and receives first indication information from the physical layer through a higher layer or sends first indication information to the second device, where the first indication information is used to indicate the number of the first BFIs.

[0247] Exemplarily, the first indication information is prohibited from being sent again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI ​​unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

[0248] The solution of this embodiment is described below by taking the first device as a UE and the UE receiving first indication information from the physical layer through a higher layer as an example.

[0249] Exemplarily, if the UE has reported a BFI indication (i.e., the first indication information) for a first opportunity, the UE assumes that the BFI indication is not reported or the BFI confirmation based on the AI ​​unit is not performed within a third preset time window starting from the first opportunity. The third preset time window may be determined by at least one of network configuration, protocol agreement, and UE reporting. For example, the third preset time window is equal to or a multiple of at least one of the following: a measurement resource period of the input information of the AI ​​unit, and a configuration period of a beam failure detection reference signal (BFD RS).

[0250] Exemplarily, if the UE has reported a BFI indication (i.e., the first indication information) for a first opportunity, then when subsequent model inference predicts the first opportunity, it is not necessary to continue reporting the BFI indication for the first opportunity, or the BFI indication corresponding to the first opportunity is reported at most D times (i.e., the eighth threshold). D is a positive integer.

[0251] It should be understood that the D or the eighth threshold mentioned above may be determined by at least one of network configuration, protocol agreement, UE reporting, etc.

[0252] Example 6:

[0253] In this embodiment, the UE determines that BF occurs, and actions corresponding to BF include at least one of the following:

[0254] The UE triggers a BFR process;

[0255] The UE reports relevant information of the occurrence of BF; the relevant information includes at least one of the BF event, the occurrence time of BF, and the duration of BF;

[0256] UE reports RLF event;

[0257] The UE reports a beam change request.

[0258] Optionally, the UE report may be reported to a higher layer of the UE, or to a base station reported by the UE.

[0259] It's worth noting that the first device may or may not distinguish between the first and second BFIs. Similarly, the first device may or may not distinguish between the first indication information and the second indication information. For example, the first device may not distinguish between the first and second indication information. This means that the first and second indication information are both BFI indication information from a high-level perspective. Therefore, the first BFI or first indication information mentioned above can also be directly considered as the BFI or BFI indication information.

[0260] In addition, the first indication information is used to indicate the number of the first BFIs, which can be equivalently replaced by the number of times the first indication information is sent being determined according to the number of the first BFIs, for example, the number of times the first indication information is sent is equal to the number of the first BFIs. Similarly, the second indication information is used to indicate the number of the second BFIs, which can be equivalently replaced by the number of times the second indication information is sent being determined according to the number of the second BFIs, for example, the number of times the second indication information is sent is equal to the number of the second BFIs. In addition, the different thresholds involved in this application can be the same or different, which is not limited here, and the thresholds involved can be determined by at least one of network configuration, protocol agreement, UE reporting, etc. The number of the first BFIs can also be equivalently replaced by the number of times the first BFI is sent, and the number of the second BFIs can also be equivalently replaced by the number of times the second BFI is sent.

[0261] FIG7 is a schematic block diagram of a beam detection device 300 provided according to an embodiment of the present application.

[0262] As shown in FIG7 , the beam detection device 300 includes:

[0263] A first processing unit 310 is configured to predict beam information based on an artificial intelligence (AI) unit;

[0264] The second processing unit 320 is configured to determine that a first beam failure instance BFI will occur based on the predicted beam information.

[0265] In some embodiments, the first processing unit 310 is specifically configured to:

[0266] Predicting beam information corresponding to each of M1 opportunities based on the AI ​​unit;

[0267] The second processing unit 320 is specifically configured to:

[0268] Based on the beam information corresponding to each of the M1 occasions, it is determined that the first BFI will occur.

[0269] In some embodiments, the second processing unit 320 is specifically configured to:

[0270] In the M1 moments, if each beam information in the N1 beam information corresponding to each moment or each beam information in the N2 beam information corresponding to each moment is less than or equal to a first threshold, it is determined that the first BFI will occur: or

[0271] Selecting M2 opportunities that meet the first condition from the M1 opportunities, and if each beam information in the N1 beam information corresponding to each opportunity in the M2 opportunities or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to a first threshold, determining that the first BFI will occur: or

[0272] Selecting M2 opportunities from the M1 opportunities, where each beam information in the N1 beam information or each beam information in the N2 beam information is less than or equal to a first threshold, and determining that the first BFI will occur if the M2 opportunities meet a first condition;

[0273] Among them, M1 is greater than or equal to M2, and N1 is greater than or equal to N2.

[0274] In some embodiments, the first condition includes at least one of the following: the M2 opportunities are continuous, the M2 opportunities are within a first preset time window, the time interval between two adjacent opportunities in the M2 opportunities is greater than or equal to a reference time interval, and the first numerical value determined based on the weight of the M2 opportunities is greater than or equal to a second threshold.

[0275] In some embodiments, the second processing unit 320 is further configured to:

[0276] The number of the first BFI is determined based on at least one of M2 and a second value.

[0277] In some embodiments, the first processing unit 310 is specifically configured to:

[0278] Based on the AI ​​unit, predict beam information K1 times;

[0279] The second processing unit 320 is specifically configured to:

[0280] Based on the beam information corresponding to the first timing in the K1 prediction results, it is determined that the first BFI will occur.

[0281] In some embodiments, the second processing unit 320 is specifically configured to:

[0282] In each prediction result of the K1 prediction results, if each beam information in the N1 beam information corresponding to the first timing or each beam information in the N2 beam information corresponding to the first timing is less than or equal to a third threshold, it is determined that the first BFI will occur:

[0283] Selecting K2 prediction results that meet the second condition from the K1 prediction results, and in each prediction result of the K2 prediction results, if each beam information in the N1 beam information corresponding to the first timing or each beam information in the N2 beam information corresponding to the first timing is less than or equal to a third threshold, it is determined that the first BFI will occur: or

[0284] Selecting, from the K1 prediction results, K2 prediction results in which each piece of the N1 beam information corresponding to the first timing or each piece of the N2 beam information corresponding to the first timing in each prediction result is less than or equal to a third threshold, and if the K2 prediction results satisfy a second condition, determining that the first BFI will occur;

[0285] Among them, K1 is greater than or equal to K2, and N1 is greater than or equal to N2.

[0286] In some embodiments, the second condition includes at least one of the following: the K2 prediction results are continuous, the timing of the K2 prediction results is within a second preset time window, the time interval between two adjacent prediction results in the K2 prediction results is greater than or equal to a reference time interval, a third value determined based on the weight of the timing of the K2 prediction results is greater than or equal to a fourth threshold, and the K2 prediction results are the most recent K2 prediction results of the AI ​​unit.

[0287] In some embodiments, the second processing unit 320 is further configured to:

[0288] The fourth value is determined as the number of the first BFIs.

[0289] In some embodiments, the reference time interval includes at least one of the following: a time interval required by BFI, a timing period required by BFI, a measurement resource period of the input information of the AI ​​unit, and a configuration period of a beam failure detection reference signal BFD RS.

[0290] In some embodiments, the apparatus 300 further includes a first sending unit configured to:

[0291] First indication information is received from a physical layer through a higher layer, where the first indication information is used to indicate the number of the first BFIs.

[0292] In some embodiments, the second processing unit 320 is further configured to:

[0293] Start or restart the first timer: or

[0294] starting or restarting a second timer; or

[0295] Start or restart the first timer and the second timer.

[0296] In some embodiments, the apparatus 300 further includes a second sending unit configured to:

[0297] The second processing unit 320 is further configured to receive second indication information from the physical layer through a higher layer, where the second indication information is used to indicate the number of second BFIs that occur based on a beam failure detection reference signal (BFDRS); and

[0298] Start or restart the third timer, or the first device starts or restarts the second timer, or the first device starts or restarts the third timer and the second timer.

[0299] In some embodiments, the apparatus 300 further includes a third sending unit configured to:

[0300] First indication information is sent to the second device, where the first indication information is used to indicate the number of the first BFIs.

[0301] In some embodiments, the first indication information is prohibited from being sent again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI ​​unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

[0302] In some embodiments, the second processing unit 320 is further configured to:

[0303] A beam failure (BF) occurs if at least one of the following conditions is met:

[0304] The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold;

[0305] The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFDRS.

[0306] In some embodiments, the value of the third counter is determined based on at least one of the following:

[0307] the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product;

[0308] The first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

[0309] In some embodiments, the apparatus 300 further includes a fourth sending unit configured to:

[0310] Send third indication information to the second device, where the third indication information is used to indicate that a beam failure has occurred.

[0311] It should be understood that the beam detection device 300 provided in the embodiment of the present application may correspond to the first device in the method embodiment of the present application, and the various units in the beam detection device 300 are respectively for implementing the corresponding processes of method 210 shown in Figure 5 or method 220 shown in Figure 6. For the sake of brevity, they will not be repeated here.

[0312] In an embodiment of the present application, beam information is predicted based on an artificial intelligence (AI) unit; based on the predicted beam information, it is determined that a first BFI will occur. On the one hand, by predicting beam information through the AI ​​unit, the determination of BFI by monitoring BFD RS is avoided, thereby saving time-frequency domain resources. On the other hand, based on the predicted beam information, it is determined that a first BFI will occur. The first BFI can be used to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This not only reduces the number of beam failure recovery and candidate beam monitoring, further saves time-frequency domain resources, but also reduces the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection.

[0313] FIG8 is a schematic block diagram of a beam detection device 400 provided according to an embodiment of the present application.

[0314] As shown in FIG8 , the beam detection device 400 includes:

[0315] The communication unit 410 is configured to receive at least one of the first indication information and the third indication information from the first device;

[0316] The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

[0317] In some embodiments, the second device receives the first indication information from the first device, and the apparatus 400 further includes a first processing unit configured to:

[0318] Start or restart the first timer: or

[0319] starting or restarting a second timer; or

[0320] Start or restart the first timer and the second timer.

[0321] In some embodiments, the communication unit 410 is further configured to:

[0322] Receive second indication information from the physical layer through a higher layer, where the second indication information is used to indicate a number of second BFIs that occur based on a beam failure detection reference signal (BFD RS); and the first processing unit is further configured to:

[0323] Start or restart the third timer, or start or restart the second timer, or start or restart the third timer and the second timer.

[0324] In some embodiments, the first indication information is prohibited from being sent again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI ​​unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

[0325] In some embodiments, the communication unit 410 receives the first indication information from the first device, and the apparatus 400 further includes a second processing unit configured to:

[0326] A beam failure (BF) occurs if at least one of the following conditions is met:

[0327] The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold;

[0328] The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFD RS.

[0329] In some embodiments, the value of the third counter is determined based on at least one of the following:

[0330] the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product;

[0331] The first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

[0332] It should be understood that the beam detection device 400 provided in the embodiment of the present application may correspond to the second device in the method embodiment of the present application, and the various units in the beam detection device 400 are respectively for implementing the corresponding processes of the method 220 shown in Figure 6. For the sake of brevity, they will not be repeated here.

[0333] In an embodiment of the present application, at least one of a first indication information and a third indication information is received from a first device; wherein, the first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the beam information predicted by the artificial intelligence AI unit, and the third indication information is used to indicate the occurrence of a beam failure. On the one hand, by predicting the beam information through the AI ​​unit, it is avoided to determine the BFI by monitoring the BFD RS, thereby saving time-frequency domain resources. On the other hand, based on the beam information predicted by the AI ​​unit, the number of first BFIs that will occur is determined. The number of the first BFIs can be used to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This can not only reduce the number of beam failure recovery and candidate beam monitoring, further save time-frequency domain resources, but also reduce the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection.

[0334] The beam detection device in the embodiment 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 a chip. The electronic device can be a first device or a second device, the first device can be a terminal, a network-side device or other device, and the second device can be a terminal or other device. For example, the type of terminal can include but is not limited to the type of terminal 11 listed above, the type of network-side device can include but is not limited to the type of network-side device 12 listed above, and other devices can be servers, network attached storage (NAS), etc., which are not specifically limited in the embodiment of the present application.

[0335] The beam detection device provided in the embodiment of the present application can implement the various processes implemented in the method embodiment of Figure 5 or Figure 6 and achieve the same technical effect. To avoid repetition, it will not be described here.

[0336] The embodiment of the present application also provides a communication device 500, as shown in Figure 9, the communication device 500 includes a processor 501 and a memory 502, and the memory 502 stores a program or instruction that can be run on the processor 501, and the program or instruction, when executed by the processor 501, implements the various steps of the above-mentioned beam detection method embodiment. For example, when the communication device 500 is a first device, when the program or instruction is executed by the processor 501, it implements the various steps executed by the first device in the above-mentioned beam detection method embodiment, and can achieve the same technical effect. When the communication device 500 is a second device, when the program or instruction is executed by the processor 501, it implements the various steps executed by the second device in the above-mentioned beam detection method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0337] An embodiment of the present application also provides a terminal, including a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the steps in the beam detection method embodiment described above. This terminal embodiment corresponds to the method embodiment on the first device side when the first device is a terminal, or this terminal embodiment corresponds to the method embodiment on the second device side. Each implementation process and implementation method of the corresponding method embodiment can be applied to the terminal embodiment and can achieve the same technical effect. Specifically, Figure 10 is a schematic diagram of the hardware structure of a terminal that implements an embodiment of the present application.

[0338] The terminal 600 includes but is not limited to: a radio frequency unit 601, a network module 602, an audio output unit 603, an input unit 604, a sensor 605, a display unit 606, a user input unit 607, an interface unit 608, a memory 609 and at least some of the components of the processor 610.

[0339] Those skilled in the art will appreciate that the terminal 600 may also include a power supply (such as a battery) to power various components. The power supply may be logically connected to the processor 610 through a power management system, thereby implementing functions such as charging, discharging, and power consumption management through the power management system. The terminal structure shown in FIG10 does not constitute a limitation of the terminal. The terminal may include more or fewer components than shown, or combine certain components, or have different component arrangements, which will not be described in detail here.

[0340] It should be understood that in an embodiment of the present application, the input unit 604 may include a graphics processing unit (GPU) 6041 and a microphone 6042, and the graphics processor 6041 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 606 may include a display panel 6061, and the display panel 6061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 607 includes a touch panel 6071 and at least one of other input devices 6072. The touch panel 6071 is also called a touch screen. The touch panel 6071 may include two parts: a touch detection device and a touch controller. Other input devices 6072 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.

[0341] In the embodiment of the present application, after receiving downlink data from a network-side device, the radio frequency unit 601 may transmit the data to the processor 610 for processing. Furthermore, the radio frequency unit 601 may send uplink data to the network-side device. Typically, the radio frequency unit 601 includes, but is not limited to, an antenna, an amplifier, a transceiver, a coupler, a low-noise amplifier, a duplexer, and the like.

[0342] The memory 609 can be used to store software programs or instructions and various data. The memory 609 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 609 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 a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM), and a direct memory bus random access memory (DRRAM). The memory 609 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

[0343] Processor 610 may include one or more processing units. Optionally, processor 610 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 610.

[0344] In one implementation, the first device is the terminal 600, and the processor 610 is configured to:

[0345] Based on artificial intelligence AI unit, beam information is predicted;

[0346] Based on the predicted beam information, it is determined that a first beam failure instance BFI will occur.

[0347] In an embodiment of the present application, beam information is predicted based on an artificial intelligence (AI) unit; based on the predicted beam information, it is determined that a first BFI will occur. On the one hand, by predicting beam information through the AI ​​unit, the determination of BFI by monitoring BFD RS is avoided, thereby saving time-frequency domain resources. On the other hand, based on the predicted beam information, it is determined that a first BFI will occur. The first BFI can be used to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This not only reduces the number of beam failure recovery and candidate beam monitoring, further saves time-frequency domain resources, but also reduces the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection.

[0348] In another implementation, the second device is the terminal 600, and the radio frequency unit 601 is configured to:

[0349] Used to receive at least one of the first indication information and the third indication information from the first device;

[0350] The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

[0351] In an embodiment of the present application, at least one of a first indication information and a third indication information is received from a first device; wherein, the first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the beam information predicted by the artificial intelligence AI unit, and the third indication information is used to indicate the occurrence of a beam failure. On the one hand, by predicting the beam information through the AI ​​unit, it is avoided to determine the BFI by monitoring the BFD RS, thereby saving time-frequency domain resources. On the other hand, based on the beam information predicted by the AI ​​unit, the number of first BFIs that will occur is determined. The number of the first BFIs can be used to determine in advance that a beam failure has occurred, and then perform operations such as cell switching in advance. This can not only reduce the number of beam failure recovery and candidate beam monitoring, further save time-frequency domain resources, but also reduce the user experience problem of disconnection due to beam failure, thereby improving the stability of the communication system connection.

[0352] It can be understood that the implementation process of each implementation method mentioned in this embodiment can refer to the relevant description of the method embodiment and achieve the same or corresponding technical effects. To avoid repetition, it will not be described here.

[0353] 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 beam detection method embodiment shown above. This network-side device embodiment corresponds to the method embodiment described above where the first device is a network-side device, and each implementation process and implementation method of the corresponding method embodiment are applicable to this network-side device embodiment and can achieve the same technical effects.

[0354] Specifically, embodiments of the present application also provide a network-side device. As shown in Figure 11, the network-side device 700 includes an antenna 71, a radio frequency device 72, a baseband device 73, a processor 74, and a memory 75. Antenna 71 is connected to radio frequency device 72. In the uplink direction, radio frequency device 72 receives information via antenna 71 and sends the received information to baseband device 73 for processing. In the downlink direction, baseband device 73 processes the information to be transmitted and sends it to radio frequency device 72. Radio frequency device 72 processes the received information and then sends it through antenna 71.

[0355] The method executed by the network-side device in the above embodiment may be implemented in the baseband device 73 , which includes a baseband processor.

[0356] The baseband device 73 may include, for example, at least one baseband board, on which multiple chips are arranged, as shown in Figure 7, one of which is, for example, a baseband processor, which is connected to the memory 75 through a bus interface to call the program in the memory 75 and execute the network side device operations shown in the above method embodiment.

[0357] The network side device may further include a network interface 76, which is, for example, a Common Public Radio Interface (CPRI).

[0358] Specifically, the network side device 700 of the embodiment of the present application also includes: instructions or programs stored in the memory 75 and can be run on the processor 74. The processor 74 calls the instructions or programs in the memory 75 to execute the methods of execution of each module shown in Figure 7 and achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0359] 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 beam detection method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0360] 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.

[0361] 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 beam detection method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0362] 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.

[0363] 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 beam detection method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0364] An embodiment of the present application also provides a communication system, including: a first device and a second device, wherein the first device can be used to execute the steps executed by the first device in the beam detection method as described above, and the second device can be used to execute the steps executed by the second device in the beam detection method as described above.

[0365] 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.

[0366] 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 the necessary general hardware platform, and of course can also be implemented 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 causing a terminal or network-side device to execute the methods described in each embodiment of the present application.

[0367] 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. A beam detection method, wherein: include: The first device is based on an artificial intelligence (AI) unit that predicts beam information; The first device determines, based on the predicted beam information, that a first beam failure instance BFI will occur.

2. The method according to claim 1, wherein The first device predicts beam information based on an artificial intelligence (AI) unit, including: The first device predicts beam information corresponding to each of M1 opportunities based on the AI unit; The first device determines, based on the predicted beam information, that a first beam failure instance BFI will occur, including: The first device determines that the first BFI will occur based on beam information corresponding to each of the M1 occasions.

3. The method according to claim 2, wherein: The first device determines, based on beam information corresponding to each of the M1 occasions, that the first BFI will occur, including: In the M1 opportunities, if each beam information in the N1 beam information corresponding to each opportunity or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to a first threshold, the first device determines that the first BFI will occur: or Selecting M2 opportunities that meet the first condition from the M1 opportunities, if each beam information in the N1 beam information corresponding to each opportunity in the M2 opportunities or each beam information in the N2 beam information corresponding to each opportunity is less than or equal to a first threshold, then the first device determines that the first BFI will occur: or Selecting, from the M1 opportunities, M2 opportunities where each beam information in the N1 beam information or each beam information in the N2 beam information is less than or equal to a first threshold, and if the M2 opportunities meet a first condition, determining, by the first device, that the first BFI will occur; Among them, M1 is greater than or equal to M2, and N1 is greater than or equal to N2.

4. The method according to claim 3, wherein: The first condition includes at least one of the following: the M2 opportunities are continuous, the M2 opportunities are within a first preset time window, the time interval between two adjacent opportunities in the M2 opportunities is greater than or equal to a reference time interval, and the first numerical value determined based on the weight of the M2 opportunities is greater than or equal to a second threshold.

5. The method according to claim 3 or 4, wherein: The method further comprises: The first device determines the number of the first BFIs based on at least one of M2 and a second value.

6. The method according to claim 1, wherein The first device predicts beam information based on an artificial intelligence (AI) unit, including: The first device predicts beam information K1 times based on the AI unit; The first device determines, based on the predicted beam information, that a first beam failure instance BFI will occur, including: The first device determines that the first BFI will occur based on the beam information corresponding to the first timing in the K1 prediction results.

7. The method according to claim 6, wherein: The first device determines, based on beam information corresponding to a first timing in K1 prediction results, that the first BFI will occur, including: In each prediction result of the K1 prediction results, if each beam information in the N1 beam information corresponding to the first timing or each beam information in the N2 beam information corresponding to the first timing is less than or equal to a third threshold, the first device determines that the first BFI will occur: Selecting K2 prediction results that satisfy the second condition from the K1 prediction results, and in each prediction result of the K2 prediction results, if each beam information in the N1 beam information corresponding to the first timing or each beam information in the N2 beam information corresponding to the first timing is less than or equal to a third threshold, then the first device determines that the first BFI will occur: or Selecting, from the K1 prediction results, K2 prediction results in which each piece of beam information in the N1 pieces of beam information corresponding to the first timing or each piece of beam information in the N2 pieces of beam information corresponding to the first timing in each prediction result is less than or equal to a third threshold, and if the K2 prediction results satisfy a second condition, determining, by the first device, that the first BFI will occur; Among them, K1 is greater than or equal to K2, and N1 is greater than or equal to N2.

8. The method according to claim 7, wherein: The second condition includes at least one of the following: the K2 prediction results are continuous, the timing of the K2 prediction results is within a second preset time window, the time interval between two adjacent prediction results in the K2 prediction results is greater than or equal to a reference time interval, the third value determined based on the weight of the timing of the K2 prediction results is greater than or equal to a fourth threshold, and the K2 prediction results are the most recent K2 prediction results of the AI unit.

9. The method according to claim 4 or 8, wherein The reference time interval includes at least one of the following: a time interval required by BFI, a timing period required by BFI, a measurement resource period of the input information of the AI unit, and a configuration period of a beam failure detection reference signal BFD RS.

10. The method according to any one of claims 1 to 9, wherein The method further comprises: The first device receives first indication information from the physical layer through a higher layer, where the first indication information is used to indicate the number of the first BFIs.

11. The method according to claim 10, wherein: The method further comprises: The first device starts or restarts the first timer: or The first device starts or restarts the second timer; or The first device starts or restarts the first timer and the second timer.

12. The method according to claim 11, wherein The method further comprises: The first device receives second indication information from the physical layer through a higher layer, where the second indication information is used to indicate a number of second BFIs that occur based on a beam failure detection reference signal BFDRS; The first device starts or restarts the third timer, or the first device starts or restarts the second timer, or the first device starts or restarts the third timer and the second timer.

13. The method according to any one of claims 1 to 9, wherein The method further comprises: The first device sends first indication information to the second device, where the first indication information is used to indicate the number of the first BFIs.

14. The method according to any one of claims 10 to 13, wherein It is prohibited to send the first indication information again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

15. The method according to any one of claims 1 to 14, wherein The method further comprises: If at least one of the following conditions is met, the first device determines that a beam failure BF occurs: The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold; The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFDRS.

16. The method according to claim 15, wherein The value of the third counter is determined based on at least one of the following: the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product; The first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

17. The method according to claim 15 or 16, wherein The method further comprises: The first device sends third indication information to the second device, where the third indication information is used to indicate that a beam failure occurs.

18. A beam detection method, wherein: The method comprises: The second device receives at least one of the first indication information and the third indication information from the first device; The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

19. The method according to claim 18, wherein The second device receives the first indication information from the first device, and the method further includes: The second device starts or restarts the first timer: or The second device starts or restarts a second timer; or The second device starts or restarts the first timer and the second timer.

20. The method according to claim 19, wherein The method further comprises: The second device receives second indication information from the physical layer through a higher layer, where the second indication information is used to indicate a number of second BFIs that occur based on a beam failure detection reference signal BFD RS; The second device starts or restarts the third timer, or the second device starts or restarts the second timer, or the second device starts or restarts the third timer and the second timer.

21. The method according to any one of claims 18 to 20, wherein It is prohibited to send the first indication information again within a third preset time window after the first indication information is sent, and the third preset time window is equal to or a multiple of at least one of the following: the measurement resource period of the input information of the AI unit, the configuration period of the beam failure detection reference signal BFD RS; or the maximum number of times the first indication information is sent is less than or equal to the eighth threshold.

22. The method according to any one of claims 18 to 20, wherein The second device receives the first indication information from the first device, and the method further includes: The second device determines that a beam failure BF occurs if at least one of the following is satisfied: The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold; The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFD RS.

23. The method according to claim 22, wherein The value of the third counter is determined based on at least one of the following: the sum of the value of the first counter and the value of the second counter, the sum of the first product and the value of the second counter, the sum of the value of the first counter and the second product, and the sum of the first product and the second product; The first product is the product of the value of the first counter and the weight of the first counter, and the second product is the product of the value of the second counter and the weight of the second counter.

24. A beam detection device, wherein: include: A first processing unit is configured to predict beam information based on an artificial intelligence (AI) unit; The second processing unit is configured to determine that a first beam failure instance BFI will occur based on the predicted beam information.

25. The apparatus according to claim 24, wherein The first processing unit is specifically configured to: Predicting beam information corresponding to each of M1 opportunities based on the AI unit; The second processing unit is specifically configured to: Based on the beam information corresponding to each of the M1 occasions, it is determined that the first BFI will occur.

26. The apparatus according to claim 24, wherein The first processing unit is specifically configured to: Based on the AI unit, predict beam information K1 times; The second processing unit is specifically configured to: Based on the beam information corresponding to the first timing in the K1 prediction results, it is determined that the first BFI will occur.

27. A beam detection device, wherein: include: a communication unit, configured to receive at least one of the first indication information and the third indication information from the first device; The first indication information is used to indicate the number of first beam failure instances BFI that will occur based on the artificial intelligence AI unit's predicted beam information, and the third indication information is used to indicate the occurrence of a beam failure.

28. The apparatus according to claim 27, wherein The communication unit is configured to receive the first indication information from the first device. The apparatus further includes a first processing unit configured to: Start or restart the first timer: or starting or restarting a second timer; or Start or restart the first timer and the second timer.

29. The apparatus according to claim 28, wherein The communication unit is further configured to: Receive second indication information from the physical layer through a higher layer, where the second indication information is used to indicate a number of second BFIs that occur based on a beam failure detection reference signal (BFD RS); and the first processing unit is further configured to: Start or restart the third timer, or start or restart the second timer, or start or restart the third timer and the second timer.

30. The device according to any one of claims 27 to 29, wherein The communication unit is configured to receive the first indication information from the first device. The apparatus further includes a second processing unit configured to: A beam failure (BF) occurs if at least one of the following conditions is met: The value of the first counter is greater than or equal to the fifth threshold, the value of the second counter is greater than or equal to the sixth threshold, and the value of the third counter is greater than or equal to the seventh threshold; The first counter is a counter that determines an updated value based on the first indication information, the second counter is a counter that determines an updated value based on the second indication information, the value of the third counter is determined based on the value of the first counter and the value of the second counter, the first indication information is used to indicate the number of the first BFIs, and the second indication information is used to indicate the number of second BFIs that occur based on the detection beam failure detection reference signal BFD RS.

31. A first device, wherein: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the beam detection method according to any one of claims 1 to 17 are implemented.

32. A second device, wherein: The method comprises a processor and a memory, wherein the memory stores a program or instruction that can be run on the processor, and when the program or instruction is executed by the processor, the steps of the beam detection method according to any one of claims 18 to 23 are implemented.

33. A readable storage medium, wherein: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the beam detection method according to any one of claims 1 to 17 are implemented, or the steps of the beam detection method according to any one of claims 18 to 23 are implemented.

Images