Communication method, terminal, network device, system, and storage medium

Abstract

The present disclosure relates to a communication method, a terminal, a network device, a system and a storage medium. The method comprises: receiving a reference signal sent by a network device, measuring the reference signal through a receiving antenna of the terminal to obtain measurement information corresponding to the receiving antenna, determining measurement result information corresponding to the reference signal according to receiving antenna information and the measurement information of the terminal, and the measurement result information is used to determine model input of an AI model. Thus, the measurement result of the reference signal is determined according to the receiving antenna information and the measurement information, the consistency of the measurement results on both sides is ensured, and the performance of the AI model is guaranteed.

Description

Communication method, terminal, network device, system and storage medium TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, and particularly relates to a communication method, a terminal, a network device, a system and a storage medium. BACKGROUND

[0002] The wide application of new generation communication technology brings great changes to all aspects of people's life. According to the vision of ITU (International Telecommunication Union), new generation communication technology will penetrate into all fields of future society to build a user-centered all-around information ecosystem.

[0003] SUMMARY

[0004] In order to overcome the technical problem that the reported measurement result information is inaccurate in the related art, the present disclosure provides a communication method, a terminal, a network device, a system and a storage medium.

[0005] According to a first aspect of an embodiment of the present disclosure, a communication method is provided, executed by a terminal, and the method comprises:

[0006] receiving a reference signal sent by a network device;

[0007] measuring the reference signal by a receiving antenna of the terminal;

[0008] obtaining measurement information corresponding to the receiving antenna;

[0009] determining measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information, wherein the measurement result information is used to determine model input of an AI model.

[0010] According to a second aspect of an embodiment of the present disclosure, a communication method is provided, executed by a network device, and the method comprises:

[0011] sending a reference signal to a terminal, wherein the reference signal is used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model is used to provide an AI service, and the measurement result information is used to determine model input of the AI model.

[0012] According to a third aspect of an embodiment of the present disclosure, a terminal is provided, comprising:

[0013] a transceiver module, configured to receive a reference signal sent by a network device;

[0014] The processing module is configured to: measure the reference signal through a receiving antenna of the terminal to obtain measurement information corresponding to the receiving antenna; and determine measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information, wherein the measurement result information is used to determine a model input of an AI model.

[0015] According to a fourth aspect of the embodiments of the present disclosure, a network device is provided, comprising:

[0016] The transceiver is configured to: send a reference signal to a terminal, wherein the reference signal is used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model is used to provide an AI service, and the measurement result information is used to determine a model input of the AI model.

[0017] According to a fifth aspect of the embodiments of the present disclosure, a terminal is provided, comprising:

[0018] one or more processors;

[0019] The terminal is configured to perform the communication method according to any one of the first aspect of the present disclosure.

[0020] According to a sixth aspect of the embodiments of the present disclosure, a network device is provided, comprising:

[0021] one or more processors;

[0022] The network device is configured to perform the communication method according to any one of the second aspect of the present disclosure.

[0023] According to a seventh aspect of the embodiments of the present disclosure, a communication system is provided, comprising a terminal and a network device;

[0024] The terminal is configured to perform the communication method according to any one of the first aspect of the present disclosure, and the network device is configured to perform the communication method according to any one of the second aspect of the present disclosure.

[0025] According to an eighth aspect of the embodiments of the present disclosure, a storage medium is provided, which stores instructions, when the instructions run on a communication device, cause the communication device to perform the communication method according to any one of the first aspect of the present disclosure, or cause the communication device to perform the communication method according to any one of the second aspect of the present disclosure.

[0026] According to a ninth aspect of the embodiments of the present disclosure, a computer program product is provided, including a computer program and / or instructions, which, when executed by a communication device, implement the communication method according to any one of the first aspect of the present disclosure, or which, when executed by a communication device, implement the communication method according to any one of the second aspect of the present disclosure.

[0027] With the above technical solutions, at least the following beneficial technical effects can be achieved:

[0028] The reference signal sent by the network device is received, the reference signal is measured through the receiving antenna of the terminal to obtain measurement information corresponding to the receiving antenna, the measurement result information corresponding to the reference signal is determined according to the receiving antenna information and the measurement information of the terminal, and the measurement result information is used to determine the model input of the AI model. Thus, the measurement result of the reference signal is determined according to the receiving antenna information and the measurement information, the consistency of the measurement results of the two sides is ensured, and the performance of the AI model is ensured. BRIEF DESCRIPTION OF DRAWINGS

[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following describes the drawings required for the embodiments, and the following drawings are only some embodiments of the present disclosure, and do not specifically limit the protection scope of the present disclosure.

[0030] FIG. 1 is an architecture schematic diagram of a communication system according to an embodiment of the present disclosure.

[0031] FIG. 2A is an interaction schematic diagram of a communication method according to an embodiment of the present disclosure.

[0032] FIG. 2B is an interaction schematic diagram of a communication method according to an embodiment of the present disclosure.

[0033] FIG. 3 is a flow schematic diagram of a communication method according to an embodiment of the present disclosure.

[0034] FIG. 4 is a flow schematic diagram of a communication method according to an embodiment of the present disclosure.

[0035] FIG. 5 is a flow schematic diagram of a communication method according to an embodiment of the present disclosure.

[0036] FIG. 6 is a structural schematic diagram of a terminal according to an embodiment of the present disclosure.

[0037] FIG. 7 is a structural schematic diagram of a network device according to an embodiment of the present disclosure.

[0038] FIG. 8 is a structural schematic diagram of a communication device 8100 according to an embodiment of the present disclosure.

[0039] FIG. 9 is a structural schematic diagram of a chip 8200 according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0040] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a system and a storage medium.

[0041] In a first aspect, the embodiments of the present disclosure provide a communication method, executed by a terminal, comprising:

[0042] receiving a reference signal sent by a network device;

[0043] measuring the reference signal by a receiving antenna of the terminal;

[0044] obtaining measurement information corresponding to the receiving antenna;

[0045] determining measurement result information corresponding to the reference signal according to receiving antenna information of the terminal and the measurement information, the measurement result information being used to determine model input of an AI model.

[0046] In the above embodiments, the measurement result of the reference signal is determined according to the receiving antenna information and the measurement information, ensuring the consistency of the measurement results on both sides and guaranteeing the performance of the AI model.

[0047] In combination with some embodiments of the first aspect, in some embodiments, the determining of the measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information comprises:

[0048] determining that multiple receiving antennas are configured in the terminal according to the receiving antenna information;

[0049] determining the measurement result information from the measurement information based on a set rule, the set rule comprising at least one of the following:

[0050] taking first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information, the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one;

[0051] taking second measurement information as the measurement result information, the receiving antenna type corresponding to the second measurement information being a set antenna type;

[0052] taking third measurement information as the measurement result information, the third measurement information being measurement information with the maximum signal power in the multiple measurement information;

[0053] taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulating the multiple measurement information;

[0054] taking the multiple measurement information as the measurement result information.

[0055] In the above embodiment, when the terminal supports multiple receiving antennas, the measurement result information is determined by using the setting rule, so as to ensure the consistency of the measurement result information on both sides and avoid the performance degradation of the AI model.

[0056] In some embodiments of the first aspect, in some embodiments, the determining, according to the receiving antenna information of the terminal and the measurement information, of the measurement result information corresponding to the reference signal comprises:

[0057] receiving first information sent by the network device, the first information being used to indicate a manner in which the terminal determines the measurement result information;

[0058] determining, according to the receiving antenna information, that multiple receiving antennas are configured in the terminal;

[0059] determining, according to the first information and the receiving antenna information, of the measurement result information.

[0060] In the above embodiment, the network device indicates the determination manner of the measurement result information, so as to ensure the consistency of the measurement result information on both sides and avoid the performance degradation of the AI model.

[0061] In some embodiments of the first aspect, in some embodiments, the first information comprises any of the following:

[0062] taking first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information; the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one;

[0063] taking second measurement information as the measurement result information, the second measurement information corresponding to a set antenna type;

[0064] taking third measurement information as the measurement result information, the third measurement information being measurement information with the maximum signal power in the multiple measurement information;

[0065] taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulating the multiple measurement information;

[0066] taking the multiple measurement information as the measurement result information.

[0067] In the above embodiment, the determination manner of the measurement result information configured by the network device comprises multiple manners, so as to adapt to the measurement requirements in different network environments and ensure the performance of the AI model.

[0068] In some embodiments of the first aspect, in some embodiments, the method further comprises:

[0069] sending second information to the network device, the second information being used for indicating the quantity information of the multiple receiving antennas.

[0070] In the above embodiment, the terminal reports the supported quantity information of antennas to the network device, so that the network device can indicate the corresponding measurement result information determination manner to the terminal according to the quantity of antennas, and ensure the consistency of the measurement result information on both sides.

[0071] In some embodiments of the first aspect, the method further includes:

[0072] sending third information to the network device, the third information including the measurement result information, and the third information further including at least one of:

[0073] the quantity information of the receiving antennas;

[0074] a manner in which the terminal determines the measurement result information.

[0075] In the above embodiment, the terminal reports the measurement result information to the network device, and reports the third information to indicate the manner in which the terminal determines the measurement result information, so that the network device adopts the corresponding AI model according to the determination manner, and ensures the performance of the AI model.

[0076] In some embodiments of the first aspect, the method further includes:

[0077] determining that the terminal is in the model training stage;

[0078] sending fourth information to the network device, the fourth information including the measurement result information and / or the quantity information of the receiving antennas, and the fourth information being used for instructing the network device to determine the AI model according to the fourth information.

[0079] In the above embodiment, in the model training stage of the AI model, the terminal reports the measurement result information and / or the quantity information of the receiving antennas, and improves the accuracy and robustness of the AI model.

[0080] In some embodiments of the first aspect, the determining the measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information includes:

[0081] determining that the terminal is in the model application stage;

[0082] sending information indicating the quantity of the receiving antennas to the network device according to the receiving antenna information;

[0083] receive fifth information sent by the network device, the fifth information being used to indicate a manner in which the terminal determines the measurement result information;

[0084] determine the measurement result information according to the fifth information.

[0085] In the above embodiment, in a model application stage of the AI model, the network device indicates, to the terminal, a determination manner of corresponding measurement result information according to a number of receiving antennas reported by the terminal, so as to ensure consistency of measurement result information on both sides and service performance of the AI model.

[0086] In some embodiments of the first aspect, the receiving antenna information includes at least one of:

[0087] the number information of the receiving antennas;

[0088] the type information of the receiving antennas.

[0089] In the above embodiment, the receiving antenna information is used to indicate a number and / or type of receiving antennas supported by the terminal, and the terminal determines the measurement result from the measurement information according to the number and / or type of receiving antennas, so as to determine the measurement result information based on the current actual situation and ensure consistency of measurement result information on both sides.

[0090] In a second aspect, the embodiments of the present disclosure provide a communication method, performed by a network device, and the method includes:

[0091] sending, to a terminal, a reference signal, the reference signal being used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model being used to provide an AI service, and the measurement result information is used to determine a model input of the AI model.

[0092] In some embodiments of the second aspect, the method further includes:

[0093] receiving second information sent by the terminal, the second information being used to indicate number information of receiving antennas supported by the terminal;

[0094] determining, according to the second information, that the terminal supports multiple receiving antennas;

[0095] sending, to the terminal, first information, the first information being used to indicate a manner in which the terminal determines the measurement result information.

[0096] In some embodiments of the second aspect, the first information includes any one of:

[0097] The first measurement information is taken as the measurement result information, the first measurement information being any one of a plurality of measurement information, the plurality of measurement information being measurement information corresponding to the plurality of receiving antennas one by one;

[0098] The second measurement information is taken as the measurement result information, the receiving antenna type corresponding to the second measurement information being a set antenna type;

[0099] The third measurement information is taken as the measurement result information, the third measurement information being measurement information with the largest signal power in the plurality of measurement information;

[0100] The fourth measurement information is taken as the measurement result information, the fourth measurement information being measurement information obtained by accumulation of the plurality of measurement information;

[0101] The plurality of measurement information is taken as the measurement result information.

[0102] In combination with some embodiments of the second aspect, in some embodiments, the method further includes:

[0103] receiving third information sent by the terminal, the third information including the measurement result information, and the third information further including at least one of:

[0104] the number information of receiving antennas supported by the terminal;

[0105] a manner in which the terminal determines the measurement result information.

[0106] In combination with some embodiments of the second aspect, in some embodiments, the method further includes:

[0107] receiving fourth information sent by the terminal, the fourth information including at least one of the measurement result information and the number information of receiving antennas supported by the terminal;

[0108] determining the AI model according to the fourth information.

[0109] In combination with some embodiments of the second aspect, in some embodiments, the method further includes:

[0110] receiving information of the number of receiving antennas sent by the terminal;

[0111] generating fifth information according to the information of the number of receiving antennas and the AI model, the fifth information being used to indicate a manner in which the terminal determines the measurement result information;

[0112] sending the fifth information to the terminal.

[0113] In a third aspect, the embodiments of the present disclosure provide a terminal, including:

[0114] transmitting a reference signal to the terminal device;

[0115] measuring the reference signal via a receiving antenna of the terminal device, obtaining measurement information corresponding to the receiving antenna, and determining measurement result information corresponding to the reference signal according to the receiving antenna information and the measurement information, the measurement result information being used to determine a model input of the AI model.

[0116] In some embodiments of the third aspect, the processing module is further configured to: determine, according to the receiving antenna information, that multiple receiving antennas are configured in the terminal device; and determine the measurement result information from the measurement information based on a preset rule, the preset rule including at least one of the following:

[0117] the first measurement information being any one of the multiple measurement information, the multiple measurement information being the measurement information corresponding to the multiple receiving antennas one by one;

[0118] the second measurement information corresponding to a preset antenna type;

[0119] the third measurement information being the measurement information with the maximum signal power in the multiple measurement information;

[0120] the fourth measurement information being measurement information obtained by accumulating the multiple measurement information;

[0121] the multiple measurement information being the measurement result information.

[0122] In some embodiments of the third aspect, the transceiver is further configured to receive first information transmitted by the network device, the first information being used to indicate a manner in which the terminal device determines the measurement result information.

[0123] the processing module being further configured to determine, according to the receiving antenna information, that multiple receiving antennas are configured in the terminal device, and determine the measurement result information according to the first information and the receiving antenna information.

[0124] In some embodiments of the third aspect, the first information includes any one of the following:

[0125] The first measurement information is used as the measurement result information, the first measurement information being any one of the plurality of measurement information, the plurality of measurement information being the measurement information corresponding to the plurality of receiving antennas respectively;

[0126] The second measurement information is used as the measurement result information, the second measurement information corresponding to a receiving antenna type being a set antenna type;

[0127] The third measurement information is used as the measurement result information, the third measurement information being the measurement information with the maximum signal power in the plurality of measurement information;

[0128] The fourth measurement information is used as the measurement result information, the fourth measurement information being the measurement information obtained by accumulating the plurality of measurement information;

[0129] The plurality of measurement information is used as the measurement result information.

[0130] In combination with some embodiments of the third aspect, in some embodiments, the transceiver module is further configured to send second information to the network device, the second information being used to indicate the quantity information of the plurality of receiving antennas.

[0131] In combination with some embodiments of the third aspect, in some embodiments, the transceiver module is further configured to send third information to the network device, the third information including the measurement result information, and the third information further including at least one of the following:

[0132] The quantity information of the receiving antennas;

[0133] A manner in which the terminal determines the measurement result information.

[0134] In combination with some embodiments of the third aspect, in some embodiments, the processing module is further configured to determine that the terminal is in the model training stage.

[0135] The transceiver module is further configured to send fourth information to the network device, the fourth information including the measurement result information and / or the quantity information of the receiving antennas, and the fourth information being used to instruct the network device to determine the AI model according to the fourth information.

[0136] In combination with some embodiments of the third aspect, in some embodiments, the processing module is further configured to determine that the terminal is in the model application stage.

[0137] The transceiver module is further configured to send information indicating the quantity of the receiving antennas to the network device according to the receiving antenna information, and receive fifth information sent by the network device, the fifth information being used to instruct the terminal to determine the manner in which the measurement result information is determined.

[0138] The processing module is further configured to determine the measurement result information according to the fifth information.

[0139] In some embodiments of the third aspect, in some embodiments, the receiving antenna information comprises at least one of:

[0140] the number information of the receiving antennas;

[0141] the type information of the receiving antennas.

[0142] In some embodiments of the fourth aspect, the network device further comprises a processing module.

[0143] The transceiver is configured to send a reference signal to a terminal, the reference signal being used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model being used to provide an AI service, and the measurement result information being used to determine a model input of the AI model.

[0144] In some embodiments of the fourth aspect, the network device further comprises a processing module.

[0145] The transceiver is further configured to receive second information sent by the terminal, the second information being used to indicate number information of receiving antennas supported by the terminal.

[0146] The processing module is configured to determine that the terminal supports multiple receiving antennas according to the second information.

[0147] The transceiver is further configured to send first information to the terminal, the first information being used to indicate a manner in which the terminal determines the measurement result information.

[0148] In some embodiments of the fourth aspect, the first information comprises any one of:

[0149] the first measurement information is any one of multiple measurement information, the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one;

[0150] the second measurement information corresponds to a set antenna type;

[0151] the third measurement information is measurement information with maximum signal power in the multiple measurement information;

[0152] The fourth measurement information is used as the measurement result information, the fourth measurement information being measurement information accumulated from the plurality of measurement information;

[0153] The plurality of measurement information is used as the measurement result information.

[0154] In combination with some embodiments of the fourth aspect, in some embodiments, the transceiver is further configured to receive third information sent by the terminal, the third information including the measurement result information, and the third information further including at least one of:

[0155] The number information of the receiving antennas supported by the terminal;

[0156] A manner in which the terminal determines the measurement result information.

[0157] In combination with some embodiments of the fourth aspect, in some embodiments, the network device further includes a processing module;

[0158] The transceiver is further configured to receive fourth information sent by the terminal, the fourth information including at least one of the measurement result information and the number information of the receiving antennas supported by the terminal;

[0159] The processing module is configured to determine the AI model according to the fourth information.

[0160] In combination with some embodiments of the fourth aspect, in some embodiments, the network device further includes a processing module;

[0161] The transceiver is further configured to receive information of the number of receiving antennas sent by the terminal;

[0162] The processing module is configured to generate fourth information according to the information of the number of receiving antennas and the AI model, the fourth information being used to indicate a manner in which the terminal determines the measurement result information.

[0163] The transceiver is further configured to send the fourth information to the terminal.

[0164] In the fifth aspect, the embodiments of the present disclosure provide a terminal, including:

[0165] One or more processors;

[0166] The terminal is configured to perform the communication method in any one of the first aspect of the present disclosure.

[0167] In the sixth aspect, the embodiments of the present disclosure provide a network device, including:

[0168] One or more processors;

[0169] The network device is configured to perform the communication method described in any of the second aspects of the present disclosure.

[0170] In a seventh aspect, the embodiments of the present disclosure provide a communication system, including a terminal and a network device.

[0171] The terminal is configured to perform the communication method described in any of the first aspects of the present disclosure, and the network device is configured to perform the communication method described in any of the second aspects of the present disclosure.

[0172] In an eighth aspect, the embodiments of the present disclosure provide a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device performs the communication method described in any of the first aspects of the present disclosure, or performs the communication method described in any of the second aspects of the present disclosure.

[0173] In a ninth aspect, the embodiments of the present disclosure provide a computer program product, which includes a computer program and / or instructions. When the computer program and / or instructions are executed on a communication device, the communication method described in any of the first aspects of the present disclosure is implemented, or the communication method described in any of the second aspects of the present disclosure is implemented.

[0174] In a tenth aspect, the embodiments of the present disclosure provide a computer program, which, when executed on a computer, causes the computer to perform the method described in the optional implementation of the first aspect and / or the second aspect.

[0175] In an eleventh aspect, the embodiments of the present disclosure provide a chip or a chip system. The chip or the chip system includes processing circuitry configured to perform the method described in the above first aspect and / or the optional implementation of the second aspect.

[0176] It can be understood that the above terminal, network device, communication device, communication system, storage medium, program product, computer program, chip or chip system are all used to perform the method proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved are referred to the beneficial effects in the corresponding method, which will not be described here.

[0177] The embodiments of the present disclosure provide a communication method, a terminal, a network device, a system and a storage medium. In some embodiments, the terms of beam indication method, information processing method and communication method can be replaced with each other, the terms of beam indication device, information processing device and communication device can be replaced with each other, and the terms of communication system, information processing system and beam indication system can be replaced with each other.

[0178] The embodiments of the present disclosure are not exhaustive, but only illustrate some embodiments, and are not specific limitations on the protection scope of the present disclosure. In the case of no contradiction, each step in an embodiment can be implemented as an independent embodiment, and the steps can be combined arbitrarily, for example, the scheme after removing part of the steps in an embodiment can also be implemented as an independent embodiment, and the order of the steps in an embodiment can be exchanged arbitrarily, in addition, the optional implementation manners in an embodiment can be combined arbitrarily; in addition, the embodiments can be combined arbitrarily, for example, part or all steps of different embodiments can be combined arbitrarily, an embodiment can be combined with optional implementation manners of other embodiments arbitrarily.

[0179] In each embodiment of the present disclosure, the terms and / or descriptions between the embodiments are consistent if there is no special description and logical conflict, and can be referred to each other, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0180] The terms used in the embodiments of the present disclosure are only for the purpose of describing the specific embodiments, and not as a limitation on the present disclosure.

[0181] In the embodiments of the present disclosure, unless otherwise specified, the elements expressed in singular form, such as "one", "a", "the", "above", "said", "preceding", "this" and the like, can represent "one and only one", and can also represent "one or more", "at least one" and the like. For example, in the case of using articles such as "a", "an", "the" and the like in English, the noun after the article can be understood as singular expression, and can also be understood as plural expression.

[0182] In the embodiments of the present disclosure, "plurality" means two or more.

[0183] In some embodiments, the terms "at least one of", "one or more", "a plurality of", "multiple" and the like can be replaced with each other.

[0184] In some embodiments, "at least one of A, B", "A and / or B", "in one case A, in another case B", "responsive to case A, responsive to case B" and the like, can be interpreted to include both cases, A and B, in some embodiments, A (A is performed regardless of B), in some embodiments, B (B is performed regardless of A), in some embodiments, selected from the group consisting of A and B (the selection between A and B is an option), in some embodiments, A and B (both A and B are performed).

[0185] In some embodiments, "A or B" and the like, can be interpreted to include both cases, A and B, in some embodiments, A (A is performed regardless of B), in some embodiments, B (B is performed regardless of A), in some embodiments, selected from the group consisting of A and B (the selection between A and B is an option).

[0186] In some embodiments, the prefix words "first", "second" and the like in the disclosure do not limit the position, order, priority, number or content of the described objects, and the description of the described objects should be understood in the context of the claims or embodiments, and should not be construed as redundant limitations. For example, the described object is "field", and the ordinal words before "field" in "first field" and "second field" do not limit the position or order between "fields", and "first" and "second" do not limit whether the "fields" modified by them are in the same message or not, nor do they limit the order of "first field" and "second field". For another example, the described object is "level", and the ordinal words before "level" in "first level" and "second level" do not limit the priority between "levels". For another example, the number of described objects is not limited by ordinal words, and can be one or more. For example, "first device", where the number of "devices" can be one or more. In addition, objects modified by different prefix words can be the same or different, for example, the described object is "device", and "first device" and "second device" can be the same device or different devices, and their types can be the same or different; for another example, the described object is "information", and "first information" and "second information" can be the same information or different information, and their contents can be the same or different.

[0187] In some embodiments, "including A", "containing A", "for indicating A", "carrying A" can be interpreted as directly carrying A, or indirectly indicating A.

[0188] In some embodiments, the terms "in response to", "in response to determining", "in the case of", "when", "when", "if", "if" and the like can be replaced with each other.

[0189] In some embodiments, the terms "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not lower than", "above", and the like can be replaced with each other, and the terms "less than", "less than or equal to", "not greater than", "fewer than", "fewer than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", "below", and the like can be replaced with each other.

[0190] In some embodiments, the apparatuses and devices can be interpreted as physical or virtual, and their names are not limited to the names described in the embodiments, and in some cases can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", and the like.

[0191] In some embodiments, "network" can be interpreted as an apparatus included in the network, such as an access network device, a core network device, and the like.

[0192] In some embodiments, an “access network device (AN device)” can also be referred to as a “radio access network device (RAN device),” a “base station (BS),” a “radio base station,” a “fixed station,” and in some embodiments can also be understood as a “node,” an “access point,” a “transmission point (TP),” a “reception point (RP),” a “transmission / reception point (TRP),” a “panel,” an “antenna panel,” an “antenna array,” a “cell,” a “macro cell,” a “small cell,” a “femto cell,” a “pico cell,” a “sector,” a “cell group,” a “serving cell,” a “carrier,” a “component carrier,” a “bandwidth part (BWP),” and the like.

[0193] In some embodiments, a "terminal" or "terminal device" can be referred to as a "user equipment" (UE), a "user terminal," a "mobile station" (MS), a "mobile terminal" (MT), a subscriber station, a mobile unit, a subscriber unit, a wireless unit, a remote unit, a mobile device, a wireless device, a wireless communication device, a remote device, a mobile subscriber station, an access terminal, a mobile terminal, a wireless terminal, a remote terminal, a handset, a user agent, a mobile client, a client, and / or the like.

[0194] In some embodiments, data, information and / or the like can be obtained in compliance with laws and regulations of a country in which data is obtained.

[0195] In some embodiments, data, information and / or the like can be obtained after obtaining consent of a user.

[0196] In addition, each element, each row, or each column in a table of embodiments of the present disclosure can be implemented as an independent embodiment, and a combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0197] FIG. 1 is an architecture diagram of a communication system according to an embodiment of the present disclosure. As shown in FIG. 1, the communication system 100 includes a terminal 101 and a network device 102.

[0198] In some embodiments, the terminal 101 includes at least one of a mobile phone, a wearable device, an Internet of Things device, a communication-capable automobile, a smart automobile, a tablet (Pad), a wireless transceiver-equipped computer, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, a wireless terminal device in a smart home, and the like, but is not limited thereto.

[0199] In some embodiments, the network device 102 is at least one of a node or a device that accesses a terminal to a wireless network, and can include an evolved NodeB (eNB) in a 5G communication system, a next generation eNB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an Open RAN, a Cloud RAN, a base station in other communication systems, an access node in a Wi-Fi system, and the like, but is not limited thereto.

[0200] In some embodiments, the technical solutions of the present disclosure can be applied to an Open RAN architecture, in which case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can become internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0201] In some embodiments, the access network device can be composed of a central unit (CU) and a distributed unit (DU), where the CU can also be referred to as a control unit. The CU-DU structure can split the protocol layers of the access network device, with some protocol layer functions being centrally controlled by the CU and the remaining protocol layer functions being distributed in the DUs, which are centrally controlled by the CU, but the present disclosure is not limited thereto.

[0202] It can be understood that the communication system described in the embodiments of the present disclosure is for more clearly illustrating the technical solutions of the embodiments of the present disclosure, and does not constitute a limitation on the technical solutions proposed in the embodiments of the present disclosure. It can be known by those skilled in the art that, as the system architecture evolves and new service scenarios appear, the technical solutions proposed in the embodiments of the present disclosure are also applicable to similar technical problems.

[0203] The following embodiments of the present disclosure can be applied to the communication system 100 shown in FIG. 1 or part of the subjects, but are not limited thereto. The subjects shown in FIG. 1 are exemplary, and the communication system can include all or part of the subjects in FIG. 1, or other subjects other than FIG. 1. The number and form of each subject is arbitrary, each subject can be physical or virtual, the connection relationship between each subject is exemplary, each subject can not be connected or can be connected, the connection can be in any way, can be direct connection or indirect connection, can be wired connection or wireless connection.

[0204] Embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (Bluetooth (registered trademark)), Public Land Mobile Network (PLMN) network, Device-to-Device (D2D) system, Machine to Machine (M2M) system, Internet of Things (IoT) system, Vehicle-to-Everything (V2X), system using other communication methods, next-generation system expanded based on them, and the like. In addition, a plurality of systems can be combined (for example, combination of LTE or LTE-A and 5G, and the like).

[0205] In some embodiments, the user experience rate of the new generation communication technology can reach 100 Mbit / s to 1 Gbit / s, and can support extreme service experience such as mobile virtual reality; the peak rate can reach 10 Gbit / s to 20 Gbit / s, and the traffic density can reach 10 Mbit / s / m 2, which can support the growth of mobile service traffic by more than 1,000 times in the future; the connection density can reach 1 million / m 2 , which can effectively support a large number of Internet of Things devices; the transmission delay can reach the order of milliseconds, which can meet the stringent requirements of vehicle networking and industrial control; the new generation of communication technology can support a mobile speed of 500 km / h, which can meet good user experience in a high-speed rail environment. As a new type of infrastructure, the new generation of communication technology will rebuild the future information society.

[0206] In some embodiments, artificial intelligence (AI) technology has made continuous breakthroughs in many fields. The continuous development of intelligent voice, computer vision and other fields not only brings a variety of applications to intelligent terminals, but also has wide application in education, transportation, home, medical care, retail, security and many other fields, bringing convenience to people's lives and promoting the industrial upgrading of various industries. AI technology is also accelerating the cross-penetration with other disciplines, and its development integrates knowledge from different disciplines, while also providing new directions and methods for the development of different disciplines.

[0207] In some embodiments, in the 3GPP Release 18 stage, a research project on the introduction of artificial intelligence technology in the wireless air interface is established in RAN1 (Radio Access Network Working Group 1). The project aims to study how to introduce artificial intelligence technology in the wireless air interface, while exploring how artificial intelligence technology can assist in improving the transmission technology of the wireless air interface.

[0208] In some embodiments, in the research of the new generation of communication technology, the new generation of communication system can provide more dimensional AI services, mainly including the following aspects: (1) AI-enabled communication connection, i.e., using AI methods to improve the performance of communication, such as using AI for beam management, etc.; (2) Computing power service, i.e., the network side can provide AI computing power to the terminal side, such as helping the terminal to perform AI model training, AI model inference, etc.; (3) Extreme AI service, i.e., enhancing the transmission pipeline of the network to improve the experience of AI application services.

[0209] In some embodiments, for an AI-based positioning service, the basic principle is to train an AI model, the input of the AI model is based on the measurement result of the positioning reference signal, and the output of the AI model is an AI positioning coordinate or an intermediate parameter for AI positioning. However, on the other hand, different terminals have different numbers of receiving antennas, and when a terminal is configured with multiple receiving antennas, the processing method for the measurement signal is different. Therefore, different numbers of antennas and different processing methods will result in different measurement results reported to the network, and when the network side is uncertain about the number of antennas supported by the terminal side and the corresponding processing method, the performance of the AI model may be degraded. Therefore, the present embodiment proposes a method for determining the number of antennas supported by the terminal and processing the positioning reference signal based on different numbers of antennas to ensure the service performance of the AI model.

[0210] FIG. 2A is an interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2A, the present embodiment relates to a communication method, and the method comprises:

[0211] In step S2101, the network device sends a reference signal to the terminal.

[0212] In some embodiments, the terminal receives the reference signal.

[0213] For example, the network device sends a reference signal to the terminal, and the reference signal is transmitted through a channel. There may be offset, signal quality attenuation, delay, misplacement, etc. between the received signal based on the reference signal received by the terminal and the reference signal. The terminal can measure the received signal to determine the signal quality information, signal offset information, signal delay information, etc. of the current network environment. The reference signal is a specific signal in the communication system, which is provided by the transmitting end to the receiving end to help the receiving end perform various types of reference signal processing tasks.

[0214] In some embodiments, the reference signal can have at least one of the following functions:

[0215] 1. Channel estimation: The reference signal is used to estimate the characteristics of the wireless channel, such as path loss, multipath effect, delay spread, etc. It helps the receiving end to understand what changes the signal has experienced during transmission;

[0216] 2. Data demodulation: In digital communication, the reference signal is used to assist the receiving end in demodulating the data signal. By comparing the received signal with the reference signal, the receiving end can recover the original data sent by the transmitting end;

[0217] 3. Synchronization: The reference signal can help the receiving end to achieve time synchronization and frequency synchronization. Time synchronization ensures correct data reception, and frequency synchronization ensures that the signal is received at the correct frequency;

[0218] 4. Cell search: In mobile communications, reference signals can be used to help user equipment identify and select a serving cell.

[0219] 5. Channel quality measurement: Reference signals enable the receiving end to measure channel quality, such as signal-to-interference ratio and reference signal received power.

[0220] 6. Beamforming: In a multi-antenna system, reference signals are used for beamforming technology to improve the directionality and coverage of signals.

[0221] 7. Positioning service: In some systems, such as LTE-R9, Positioning Reference Signals (PRS) are introduced to assist positioning services.

[0222] 8. Resource allocation: Reference signals can be used to help the base station decide how to effectively allocate wireless resources, such as frequency resources, time resources, and spatial resources.

[0223] 9. Network planning and optimization: Performance data of reference signals can be used for network planning and optimization to improve overall network performance.

[0224] 10. Signal detection: At the receiving end, reference signals can be used to detect the presence and quality of signals to decide whether to proceed with further processing.

[0225] In different communication scenarios, the role of the reference signal sent by the network device is different. In this embodiment, the reference signal sent can be applicable to any of the above communication scenarios, as well as other communication scenarios based on reference signals. The specific communication scenario is not limited.

[0226] In some embodiments, an AI model is configured in the network device, which is used to provide AI services.

[0227] In a communication scenario composed of a network device and a terminal, an AI model is configured in the network device, which is used to provide AI services. The AI services provided based on the AI model include at least one of the following: fault prediction and healing, network optimization, security protection, automated operation and maintenance, intelligent resource management, predictive maintenance, intelligent diagnosis, and energy efficiency optimization. The AI model can help the network device analyze the network environment and improve the intelligent level of the network device, achieving more efficient and reliable network services. In this embodiment, the AI model is set in the network device, the network device obtains the input of the AI model from the terminal, calculates the output result based on the AI model, and executes the corresponding communication steps according to the output result.

[0228] At step S2102, the terminal performs measurement on the reference signal transmitted by the network device through the receiving antenna to obtain measurement information corresponding to the receiving antenna.

[0229] For example, the terminal receives and measures the reference signal transmitted by the network device through the receiving antenna to obtain measurement information corresponding to the reference signal. In different communication scenarios, the reference signal has different functions, and the corresponding measurement information is different. The measurement information can be channel estimation information, channel quality measurement information, synchronization information, etc. The terminal can feed back the measurement information to the network device, so that the network device determines the current communication environment of the terminal and performs corresponding communication steps according to the communication environment. For example, the reference signal is a CSI (Channel State Information-Reference Signal), the terminal performs received signal power measurement on the CSI through the receiving antenna to obtain RSRP (Reference Signal Receiving Power / Reference Signal Received Power) information of the current network environment of the terminal, and the terminal feeds back the RSRP information to the network device. When the network device determines that the network signal of the current network environment of the terminal is poor according to the RSRP information, the network device can send a cell switching instruction to the terminal to assist the terminal to perform service cell switching, so as to improve the communication performance of the terminal.

[0230] It should be noted that the terminal is configured with one or more receiving antennas. When the terminal is configured with only one receiving antenna, the terminal receives and measures the reference signal through the receiving antenna to obtain one measurement information. When the terminal is configured with multiple receiving antennas, because the characteristics of the multiple receiving antennas in the same terminal, such as antenna type, antenna gain, polarization mode, direction, physical size, and signal processing capability, are different, the measurement information obtained by receiving and measuring the reference signal based on each receiving antenna is different. Therefore, when the terminal is configured with multiple receiving antennas, the terminal measures the reference signal transmitted by the network device through the multiple antennas to obtain multiple measurement information corresponding to the multiple antennas one by one.

[0231] At step S2103, the terminal determines measurement result information corresponding to the reference signal according to the receiving antenna information and the measurement information.

[0232] In some embodiments, the measurement result information is used to determine the model input of the AI model.

[0233] To ensure the AI service performance of the AI model and improve the accuracy of the output result of the AI model, model input information matched with the AI model needs to be input to the AI model. In this embodiment, the terminal measurement result information is used as the input of the AI model. Therefore, in the process of determining the measurement result information by the terminal, the terminal needs to determine the measurement result information matched with the model type of the AI model according to the reception antenna information and the measurement information. For example, in the model training stage of the AI model, the model input data in the data training set are all the measurement information corresponding to the specific model reception antenna. In the model application stage of the AI model, the terminal determines the measurement information corresponding to the specific signal reception antenna from the measurement information according to the reception antenna information, as the measurement result information, so as to ensure that there is no deviation in the model input of the AI model, and further ensure the accuracy of the model output result of the AI model.

[0234] In some embodiments, the reception antenna information includes at least one of the following: the number information of the reception antenna, and the type information of the reception antenna.

[0235] For example, the terminal determines that only one reception antenna is configured in the terminal according to the reception antenna information, and then receives and measures the reference signal through the reception antenna to obtain one measurement information, and uses the measurement information as the measurement result information. The terminal determines that multiple reception antennas are configured in the terminal according to the reception antenna information, and needs to select the target measurement information matched with the AI model from the multiple measurement information corresponding to the multiple reception antennas according to the reception antenna information, as the measurement result information input to the AI model, so as to ensure the accuracy of the model input. In this embodiment, when the terminal supports multiple reception antennas, the target measurement information can be selected from the multiple measurement information based on a preset rule and the reception antenna information, and the preset rule can be a preset communication protocol between the network device and the terminal. For example, the communication protocol specifies that the measurement information corresponding to the reception antenna A is used as the measurement result information, the terminal determines the reception antenna A from the multiple reception antennas according to the reception antenna information, and the target measurement information corresponding to the reception antenna A, and uses the target measurement information as the measurement result information.

[0236] Optionally, in some embodiments, the above step S2103 includes:

[0237] The terminal determines that multiple reception antennas are configured in the terminal according to the reception antenna information.

[0238] The terminal determines the measurement result information from the measurement information based on the preset rule.

[0239] In an example, according to the received antenna information, when the number of supported receiving antennas in the terminal is determined to be multiple, in order to avoid the case that the processing modes of multiple receiving antennas and multiple receiving signals are different, resulting in that the measurement result information reported to the network device does not match the AI model. The setting rule is used to determine the measurement result information matched with the AI model from the multiple measurement information corresponding to the multiple receiving antennas.

[0240] In some embodiments, the setting rule includes at least one of the following:

[0241] The first measurement information is used as the measurement result information, and the first measurement information is any measurement information in the multiple measurement information; the multiple measurement information is one-to-one corresponding measurement information of the multiple receiving antennas;

[0242] The second measurement information is used as the measurement result information, and the receiving antenna type corresponding to the second measurement information is the set antenna type;

[0243] The third measurement information is used as the measurement result information, and the third measurement information is the measurement information with the maximum signal power in the multiple measurement information;

[0244] The fourth measurement information is used as the measurement result information, and the fourth measurement information is the measurement information obtained by accumulating the multiple measurement information;

[0245] The multiple measurement information is used as the measurement result information.

[0246] In an example, (1) when it is determined that the terminal supports multiple receiving antennas, the multiple receiving antennas correspond to multiple measurement information, and the terminal selects any measurement information from the multiple measurement information as the measurement result information based on the setting rule. For example, the measurement information corresponding to the multiple receiving antennas of the terminal is H1, H2, H3, and H4, and based on the setting rule, H3 is randomly selected as the measurement result information.

[0247] (2) based on the setting rule, the measurement information corresponding to the set antenna type is selected as the measurement result information. That is, the AI model configured in the network device is only applicable to the measurement information measured by the receiving antenna of the set antenna type. For example, the measurement information corresponding to the multiple receiving antennas of the terminal is H1, H2, H3, and H4, and based on the setting rule, it is determined that the set antenna type is A4, and the measurement information H4 corresponding to the set receiving antenna A4 is determined as the measurement result information.

[0248] (3) in order to ensure the accuracy of the measurement signal, the measurement information with the maximum signal power in the multiple measurement information is selected as the measurement result information. For example, the measurement information corresponding to the multiple receiving antennas of the terminal is H1, H2, H3, and H4, and max{H1, H2, H3, H4} is selected as the measurement result information.

[0249] (4) Accumulate multiple measurement information, and take the result of accumulation as measurement result information. For example, the measurement information corresponding to multiple receive antennas of the terminal is H1, H2, H3, and H4 respectively, and H1+H2+H3+H4 is taken as the measurement result information.

[0250] (5) Directly send multiple measurement information corresponding to multiple receive antennas to the network device as measurement result information, and the network device determines the model input matched with the AI model according to the multiple measurement information.

[0251] Optionally, before step S2103, the method further includes:

[0252] determining that the terminal is in the model training phase of the AI model; or,

[0253] determining that the terminal is in the model application phase of the AI model.

[0254] For example, in the model training phase of the AI model and the model application phase of the AI model, any of the above embodiments can be used to determine the measurement result information as the model input of the AI model, thereby improving the robustness of the above determination method.

[0255] Optionally, in some embodiments, the method further includes:

[0256] the terminal determines that it is in the model training phase, and sends fourth information to the network device.

[0257] In some embodiments, the network device receives the fourth information.

[0258] In some embodiments, the fourth information includes at least one of the following: measurement result information, number information of receive antennas.

[0259] In some embodiments, the fourth information is used to instruct the network device to determine the AI model according to the fourth information.

[0260] For example, in the model training phase, the terminal reports the measurement result information and / or the number information of receive antennas to the network device, so that the network device determines the AI model matched with the reported information according to the information. For example, the fourth information includes measurement result information, the measurement result information is the measurement information corresponding to receive antenna B, the network device determines the AI model suitable for receive antenna B according to the fourth information, which is the AI model to be trained. The fourth information includes the number information of receive antennas, and the network device determines the AI model suitable for the number of receive antennas according to the fourth information, as the AI model to be trained.

[0261] Optionally, in some embodiments, step S2103 includes:

[0262] The terminal determines that it is in the model application stage, and sends information indicating the number of receiving antennas to the network device according to the receiving antenna information;

[0263] The terminal receives fifth information sent by the network device, and the fifth information is used to indicate the way in which the terminal determines the measurement result information;

[0264] The terminal determines the measurement result information according to the fifth information.

[0265] In an example, the terminal in the embodiment supports multiple receiving antennas, and the terminal is currently in the model application stage of the AI model. When the terminal measures the reference signal through the multiple receiving antennas to obtain multiple measurement information, the terminal sends information indicating the number of receiving antennas to the network device. The network device indicates the terminal the way in which the terminal determines the measurement result information according to the number of receiving antennas, generates fifth information and sends the fifth information to the terminal. The fifth information is used to indicate the way in which the terminal determines the measurement result information, for example, the fifth information can be that any measurement information is taken as the measurement result information; the fifth information can also be that the measurement information corresponding to a set antenna type is taken as the measurement result information, and the like. The terminal selects the corresponding measurement information from the multiple measurement information as the measurement result information according to the fifth information indicated by the network device.

[0266] In step S2104, the terminal sends third information to the network device.

[0267] In some embodiments, the network device receives the third information.

[0268] In some embodiments, the third information includes the measurement result information, and the third information further includes at least one of the following:

[0269] The number information of the receiving antennas;

[0270] The way in which the terminal determines the measurement result information.

[0271] In some embodiments, the third information is used to report the measurement result information to the network device, and the way in which the terminal determines the measurement result information. If the third information further includes the number information of the receiving antennas, the network device can select an AI model of a corresponding type based on the number information of the receiving antennas, and input the measurement result information into the AI model. If the third information further includes the way in which the terminal determines the measurement result information, the network device selects an AI model corresponding to the determination way, and inputs the measurement result information into the AI model.

[0272] In some embodiments, the names of information and the like are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "field", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", "chip", and the like can be replaced with each other.

[0273] In some embodiments, terms such as "codebook", "codeword", and "precoding matrix" can be replaced with each other. For example, a codebook can be a collection of one or more codewords / precoding matrices.

[0274] In some embodiments, terms such as "uplink", "uplink", "physical uplink", and the like can be replaced with each other, terms such as "downlink", "downlink", "physical downlink", and the like can be replaced with each other, and terms such as "side", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct connection link", "direct connection", "direct connection link communication", and the like can be replaced with each other.

[0275] In some embodiments, terms such as "downlink control information (DCI)", "downlink (DL) assignment", "DL DCI", "uplink (UL) grant", "UL DCI", and the like can be replaced with each other.

[0276] In some embodiments, terms such as "physical downlink shared channel (PDSCH)", "DL data", and the like can be replaced with each other, and terms such as "physical uplink shared channel (PUSCH)", "UL data", and the like can be replaced with each other.

[0277] In some embodiments, the terms “radio,” “wireless,” “radio access network” (RAN), “access network” (AN), “RAN-based,” and the like can be replaced with each other.

[0278] In some embodiments, the terms “search space,” “search space set,” “search space configuration,” “search space set configuration,” “control resource set” (CORESET), “CORESET configuration,” and the like can be replaced with each other.

[0279] In some embodiments, the terms “synchronization signal” (SS), “synchronization signal block” (SSB), “reference signal” (RS), “pilot,” “pilot signal,” and the like can be replaced with each other.

[0280] In some embodiments, the terms “time instant,” “time point,” “time,” “time location,” and the like can be replaced with each other, and the terms “time duration,” “time period,” “time window,” “window,” “time,” and the like can be replaced with each other.

[0281] In some embodiments, the terms “component carrier” (CC), “cell,” “frequency carrier,” “carrier frequency,” and the like can be replaced with each other.

[0282] In some embodiments, the terms “resource block” (RB), “physical resource block” (PRB), “sub-carrier group” (SCG), “resource element group” (REG), “PRB pair,” “RB pair,” “resource element” (RE), “sub-carrier,” and the like can be replaced with each other.

[0283] In some embodiments, the terms “wireless access scheme”, “waveform”, etc. can be replaced by each other.

[0284] In some embodiments, the terms “precoding”, “precoder”, “weight”, “precoding weight”, “quasi-co-location (QCL)”, “transmission configuration indication (TCI) state”, “spatial relation”, “spatial domain filter”, “transmission power”, “phase rotation”, “antenna port”, “antenna port group”, “layer”, “the number of layers”, “rank”, “resource”, “resource set”, “resource group”, “beam”, “beam width”, “beam angular degree”, “antenna”, “antenna element”, “panel”, etc. can be replaced by each other.

[0285] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, “transmission time interval (TTI)”, etc. can be replaced by each other.

[0286] In some embodiments, the terms “acquire”, “obtain”, “get”, “receive”, “transmit”, “bidirectional transmission”, “transmit and / or receive” can be replaced by each other, which can be interpreted as receiving from other subjects, acquiring from protocols, acquiring from higher layers, obtaining by oneself, implementing autonomously, etc.

[0287] In some embodiments, the terms “sending”, “transmitting”, “reporting”, “issuing”, “transferring”, “bidirectional transferring”, “sending and / or receiving” and the like can be replaced by each other.

[0288] In some embodiments, the terms “certain”, “preseted”, “preset”, “set”, “indicated”, “certain”, “arbitrary”, “first” and the like can be replaced by each other, “certain A”, “preset A”, “preset A”, “set A”, “indicated A”, “certain A”, “arbitrary A”, “first A” can be interpreted as A specified in advance in a protocol or the like, A obtained by setting, configuration or indication, or A specific, certain, arbitrary or first, but not limited thereto.

[0289] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values (for example, comparison with a predetermined value), but not limited thereto.

[0290] In some embodiments, “not expecting to receive” can be interpreted as not receiving on the time domain resource and / or frequency domain resource, or as not performing subsequent processing on the data or the like after receiving the data or the like; “not expecting to send” can be interpreted as not sending, or as sending but not expecting the receiving party to respond to the content of the sending.

[0291] The communication method related to the embodiments of the present disclosure can include at least one of steps S2101-S2104. For example, step S2101 can be implemented as an independent embodiment, step S2103 can be implemented as an independent embodiment, step S2104 can be implemented as an independent embodiment, steps S2101+S2102 can be implemented as an independent embodiment, steps S2102+S2103 can be implemented as an independent embodiment, but not limited thereto.

[0292] In some embodiments, the order of steps S2102, S2103 can be exchanged or executed simultaneously, and the order of steps S2101, S2102 can be exchanged or executed simultaneously.

[0293] In some embodiments, steps S2101, S2102, S2104 are optional, and one or more of these steps can be omitted or replaced in different embodiments.

[0294] In some embodiments, other optional implementations described before or after the description corresponding to FIG. 2A can be referred to.

[0295] FIG. 2B is an interaction diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 2B, the embodiment of the present disclosure relates to a communication method, and the method comprises:

[0296] In step S2201, the network device sends a reference signal to the terminal.

[0297] The optional implementation of step S2201 can refer to the optional implementation of step S2101 in FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be repeated here.

[0298] In step S2202, the network device sends first information to the terminal.

[0299] In some embodiments, the terminal receives the first information.

[0300] In some embodiments, the first information is used to indicate a manner in which the terminal determines the measurement result information.

[0301] For example, in the present embodiment, the network device indicates the first information to the terminal, the first information is used to indicate a manner in which the terminal determines the measurement result information, and the terminal can determine the measurement result information from the measurement information corresponding to the receiving antenna according to the first information.

[0302] In some embodiments, the first information comprises any of the following:

[0303] The first measurement information is used as the measurement result information, the first measurement information is any measurement information in the plurality of measurement information, and the plurality of measurement information is the measurement information corresponding to the plurality of receiving antennas one by one;

[0304] The second measurement information is used as the measurement result information, and the receiving antenna type corresponding to the second measurement information is the set antenna type;

[0305] The third measurement information is used as the measurement result information, and the third measurement information is the measurement information with the maximum signal power in the plurality of measurement information;

[0306] The fourth measurement information is used as the measurement result information, and the fourth measurement information is the measurement information obtained by accumulating the plurality of measurement information;

[0307] The plurality of measurement information is used as the measurement result information.

[0308] For example, in the present embodiment, the manner in which the first information indicates the determination of the measurement result information is the same as the manner in which the set rule indicates the determination of the measurement result information in the above-mentioned embodiments, which can be referred to the above-mentioned embodiments and will not be repeated here.

[0309] Optionally, in some embodiments, before step S2202, the method further comprises:

[0310] The terminal sends second information to the network device.

[0311] In some embodiments, the network device receives the second information.

[0312] In some embodiments, the second information is used to indicate the quantity information of the multiple receiving antennas supported by the terminal.

[0313] For example, the network device can select the way of determining the measurement result information in the terminal according to the multiple receiving antennas supported by the terminal. For example, the terminal reports that it supports 3 receiving antennas, and the network device can select to superimpose 3 measurement information corresponding to the 3 receiving antennas based on the current network environment, and take the result obtained by superimposing as the measurement result information.

[0314] In step S2203, the terminal measures the reference signal sent by the network device through the receiving antenna, and obtains the measurement information corresponding to the receiving antenna.

[0315] The optional implementation of step S2203 can refer to the optional implementation of step S2102 of FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be described here.

[0316] In step S2204, the terminal determines the measurement result information corresponding to the reference signal according to the receiving antenna information, the first information and the measurement information.

[0317] The optional implementation of step S2204 can refer to the optional implementation of step S2103 of FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be described here.

[0318] In step S2205, the terminal sends third information to the network device.

[0319] The optional implementation of step S2205 can refer to the optional implementation of step S2104 of FIG. 2A and other associated parts in the embodiments involved in FIG. 2A, which will not be described here.

[0320] The communication method involved in the embodiments of the present disclosure can include at least one of steps S2201-S2205. For example, step S2201 can be implemented as an independent embodiment, step S2203 can be implemented as an independent embodiment, step S2204 can be implemented as an independent embodiment, step S2205 can be implemented as an independent embodiment, steps S2201+S2202 can be implemented as an independent embodiment, steps S2202+S2203 can be implemented as an independent embodiment, steps S2202+S2203+S2204+step S2205 can be implemented as an independent embodiment, but not limited thereto.

[0321] In some embodiments, step S2202 and step S2203 can be exchanged in order or performed simultaneously, and step S2201 and step S2202 can be exchanged in order or performed simultaneously.

[0322] In some embodiments, step S2201, step S2202, step S2203 and step S2204 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0323] In some embodiments, other optional implementations can be described before or after the description of the corresponding embodiments of FIG. 2B.

[0324] FIG. 3 is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 3, the embodiments of the present disclosure relate to a communication method performed by a terminal, and the above method comprises:

[0325] In step S3101, a reference signal transmitted by a network device is measured by a receiving antenna of a terminal to obtain measurement information corresponding to the receiving antenna.

[0326] In some embodiments, an AI model is configured in the network device, and the AI model is used to provide an AI service.

[0327] Optional implementations of step S3101 can be referred to optional implementations of step S2102 of FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be described here.

[0328] Optional implementations of step S3101 can be referred to optional implementations of step S2203 of FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be described here.

[0329] In step S3102, measurement result information corresponding to the reference signal is determined according to the receiving antenna information and the measurement information of the terminal.

[0330] In some embodiments, the measurement result information is used to determine the model input of the AI model.

[0331] Optional implementations of step S3102 can be referred to optional implementations of step S2103 of FIG. 2A and other associated parts in the embodiments related to FIG. 2A, which will not be described here.

[0332] Optional implementations of step S3102 can be referred to optional implementations of step S2204 of FIG. 2B and other associated parts in the embodiments related to FIG. 2B, which will not be described here.

[0333] Optionally, in some embodiments, the above step S3102 comprises:

[0334] determining, according to the receiving antenna information, that the terminal is configured with multiple receiving antennas;

[0335] determining, from the measurement information, measurement result information based on a set rule, the set rule including at least one of:

[0336] taking first measurement information as the measurement result information, the first measurement information being any one of the multiple measurement information, the multiple measurement information being one-to-one corresponding measurement information of the multiple receiving antennas;

[0337] taking second measurement information as the measurement result information, the second measurement information corresponding to a set antenna type;

[0338] taking third measurement information as the measurement result information, the third measurement information being measurement information with the largest signal power among the multiple measurement information;

[0339] taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulating the multiple measurement information;

[0340] taking the multiple measurement information as the measurement result information.

[0341] Optionally, in some embodiments, the step S3102 includes:

[0342] receiving first information sent by the network device, the first information being used to indicate a manner in which the terminal determines the measurement result information;

[0343] determining, according to the receiving antenna information, that the terminal is configured with multiple receiving antennas;

[0344] determining, according to the first information and the receiving antenna information, the measurement result information.

[0345] Optionally, in some embodiments, the first information includes any one of:

[0346] taking first measurement information as the measurement result information, the first measurement information being any one of the multiple measurement information, the multiple measurement information being one-to-one corresponding measurement information of the multiple receiving antennas;

[0347] taking second measurement information as the measurement result information, the second measurement information corresponding to a set antenna type;

[0348] taking third measurement information as the measurement result information, the third measurement information being measurement information with the largest signal power among the multiple measurement information;

[0349] taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulating the multiple measurement information;

[0350] The plurality of measurement information is taken as the measurement result information.

[0351] Optionally, in some embodiments, the method further includes:

[0352] sending second information to the network device, the second information being used to indicate the quantity information of the plurality of receiving antennas.

[0353] Optionally, in some embodiments, the method further includes:

[0354] sending third information to the network device, the third information including the measurement result information, and the third information further including at least one of:

[0355] the quantity information of the receiving antennas;

[0356] a manner in which the terminal determines the measurement result information.

[0357] Optionally, in some embodiments, the method further includes:

[0358] determining that the terminal is in a model training stage, sending fourth information to the network device, the fourth information including the measurement result information and / or the quantity information of the receiving antennas, and the fourth information being used to instruct the network device to determine an AI model according to the fourth information.

[0359] Optionally, in some embodiments, the step S3102 includes:

[0360] determining that the terminal is in the model application stage;

[0361] sending information indicating the quantity of the receiving antennas to the network device according to the receiving antenna information;

[0362] receiving fifth information sent by the network device, the fifth information being used to instruct the terminal to determine a manner in which the terminal determines the measurement result information;

[0363] determining the measurement result information according to the fifth information.

[0364] Optionally, in some embodiments, the receiving antenna information includes at least one of:

[0365] the quantity information of the receiving antennas;

[0366] type information of the receiving antennas.

[0367] The communication method related to the embodiments of the present disclosure can include at least one of the step S3101 and the step S3102. For example, the step S3101 can be implemented as an independent embodiment, the step S3102 can be implemented as an independent embodiment, the step S3101+the step S3102 can be implemented as an independent embodiment, but is not limited thereto.

[0368] In some embodiments, step S3101 and step S3102 can be exchanged in order or performed simultaneously.

[0369] In some embodiments, step S3101 and step S3102 are optional, and one or more of the steps can be omitted or replaced in different embodiments.

[0370] In some embodiments, other optional implementations can be found in the description before or after the description of FIG. 3.

[0371] FIG. 4 is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 4, the embodiment of the present disclosure relates to a communication method, which is performed by a network device, and the above method comprises:

[0372] Step S4101: transmitting a reference signal to a terminal.

[0373] In some embodiments, the reference signal is used to instruct the terminal to measure the reference signal through a receiving antenna, obtain measurement information corresponding to the receiving antenna, and determine measurement result information corresponding to the reference signal according to receiving antenna information and the measurement information of the terminal.

[0374] In some embodiments, an AI model is configured in the network device, the AI model is used to provide an AI service, and the measurement result information is used to determine a model input of the AI model.

[0375] Optional implementations of step S4101 can be found in the optional implementations of step S2101 of FIG. 2A and other related parts in the embodiments related to FIG. 2A, which will not be described here.

[0376] Optionally, in some embodiments, the method further comprises:

[0377] receiving second information sent by the terminal, the second information being used to indicate quantity information of receiving antennas supported by the terminal;

[0378] determining that the terminal supports multiple receiving antennas according to the second information;

[0379] transmitting first information to the terminal, the first information being used to instruct the terminal to determine a manner of the measurement result information.

[0380] Optionally, in some embodiments, the first information comprises any of the following:

[0381] taking the first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information, and the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one;

[0382] The second measurement information is taken as the measurement result information, and a receiving antenna type corresponding to the second measurement information is a set antenna type.

[0383] The third measurement information is taken as the measurement result information, and the third measurement information is measurement information with the largest signal power in the plurality of measurement information.

[0384] The fourth measurement information is taken as the measurement result information, and the fourth measurement information is measurement information obtained by accumulating the plurality of measurement information.

[0385] The plurality of measurement information is taken as the measurement result information.

[0386] Optionally, in some embodiments, the method further includes:

[0387] The third information sent by the terminal is received, and the third information includes the measurement result information and further includes at least one of the following:

[0388] The number information of receiving antennas supported by the terminal;

[0389] The terminal determines the manner of the measurement result information.

[0390] Optionally, in some embodiments, the method further includes:

[0391] The fourth information sent by the terminal is received, and the fourth information includes the measurement result information and / or the number information of receiving antennas;

[0392] The AI model is determined according to the fourth information.

[0393] Optionally, in some embodiments, the method further includes:

[0394] The terminal sends the number information of receiving antennas;

[0395] The fifth information is generated according to the number information of receiving antennas and the AI model, and the fifth information is used to indicate the manner of the measurement result information determined by the terminal;

[0396] The fifth information is sent to the terminal.

[0397] FIG. 5 is a flow diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG. 5, the embodiment of the present disclosure relates to a communication method, and the above method includes:

[0398] In step S5101, a measurement signal is determined based on receiving antenna information of a terminal.

[0399] In some embodiments, the measurement signal is used to determine an input of an AI-based positioning model.

[0400] Optionally, in some embodiments, the step S5101 comprises:

[0401] In response to the terminal supporting multiple receiving antennas, the terminal determines the measurement signal based on a preset rule.

[0402] In some embodiments, the preset rule comprises at least one of the following:

[0403] The measurement signal of a randomly selected receiving antenna from the multiple receiving antennas is determined as the target measurement signal;

[0404] The measurement signal of a certain fixed receiving antenna is determined as the target measurement signal;

[0405] The measurement signal with the largest power among the multiple antenna measurement signals corresponding to the multiple receiving antennas is determined as the target measurement signal;

[0406] The multiple antenna measurement signals corresponding to the multiple receiving antennas are accumulated to determine the target measurement signal;

[0407] The multiple antenna measurement signals corresponding to the multiple receiving antennas are determined as the target measurement signal.

[0408] Optionally, in some embodiments, the method further comprises:

[0409] In response to the terminal reporting the measurement signal to the network device, the terminal sends the reporting content to the network device.

[0410] In some embodiments, the reporting content further comprises at least one of the following:

[0411] The number of receiving antennas supported by the terminal;

[0412] The way in which the terminal determines the measurement signal.

[0413] Optionally, in some embodiments, the step S5101 comprises:

[0414] In response to the terminal supporting multiple receiving antennas, the terminal determines the measurement signal based on the indication information sent by the network device and the receiving antenna information.

[0415] In some embodiments, the indication information sent by the network device is used to indicate the way in which the terminal determines the measurement signal, and the way comprises any one of the following:

[0416] The measurement signal of a randomly selected receiving antenna from the multiple receiving antennas is determined as the target measurement signal, for example, the measurement information corresponding to the two antennas supported by the terminal is H1 and H2. Through the indication of the network device, H1 or H2 is randomly selected as the target measurement signal;

[0417] Select a measurement signal corresponding to a fixed receiving antenna as the target measurement signal. For example, H1 is fixedly selected as the target measurement signal.

[0418] Select a measurement signal with the maximum signal power from multiple antenna measurement signals corresponding to multiple receiving antennas as the target measurement signal. For example, max{H1, H2} is selected as the target measurement signal.

[0419] Add multiple measurement signals corresponding to multiple receiving antennas, and determine the result of the addition as the target measurement signal. For example, H1+H2 is determined as the target measurement signal.

[0420] Determine multiple measurement signals corresponding to multiple receiving antennas as the target measurement signal. For example, (H1, H2) is determined as the target measurement signal.

[0421] Optionally, in some embodiments, the method further includes:

[0422] The terminal reports to the network device the number of receiving antennas supported by the terminal, and the number is greater than 1.

[0423] In some embodiments, the terminal determines the measurement signal in the training data collection stage or the AI model-based positioning stage in the above manner.

[0424] In some embodiments, in the data collection stage, the network device classifies the data according to the measurement data reported by the terminal and / or the number of antennas supported by the terminal, and then develops a model. For example, the network device can divide the data into N classes according to different numbers of antennas supported by the terminal and / or different processing methods of the measurement signal, and develop N corresponding AI models. In the AI model application stage, according to the number of antennas supported by the current terminal and / or the processing method of the measurement signal of the current terminal, the corresponding AI model is used as the AI model input by the measurement signal.

[0425] In some embodiments, in the AI-based positioning model inference stage, the network device can obtain the number of antennas supported by the terminal, and the network device can indicate the corresponding processing method to the terminal according to the number of receiving antennas and / or the processing mode of the measurement signal corresponding to the AI model deployed on the network side, so that the terminal reports data according to the corresponding processing method.

[0426] In the above manner, the measurement result of the reference signal is determined according to the receiving antenna information and the measurement information, the consistency of the measurement results on both sides is ensured, and the performance of the AI model is guaranteed.

[0427] The embodiments of the present disclosure further provide a device for implementing any of the above methods, for example, a device comprising units or modules for implementing the steps performed by the terminal in any of the above methods. For another example, another device is provided, comprising units or modules for implementing the steps performed by the network equipment (such as an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0428] It should be understood that the division of each unit or module in the above device is only a logical function division, and all or part of the units or modules can be integrated into one physical entity or physically separated in actual implementation. In addition, the units or modules in the device can be implemented in the form of processor invoking software: for example, the device comprises a processor connected with a memory, the memory stores instructions, and the processor invokes the instructions stored in the memory to implement any of the above methods or to implement the functions of each unit or module of the device, wherein the processor is a general processor such as a central processing unit (CPU) or a microprocessor, and the memory is a memory in the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuit, and the functions of part or all of the units or modules can be implemented by the design of the hardware circuit, and the hardware circuit can be understood as one or more processors; for example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC), and the functions of part or all of the units or modules are implemented by the design of the logical relationship between the elements in the circuit; for another example, in another implementation, the hardware circuit is a programmable logic device (PLD), and taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by a configuration file, so as to implement the functions of part or all of the units or modules. All units or modules of the above device can be implemented in the form of processor invoking software, or all units or modules can be implemented in the form of hardware circuit, or part of the units or modules are implemented in the form of processor invoking software, and the remaining part is implemented in the form of hardware circuit.

[0429] In the embodiments of the present disclosure, the processor is a circuit with signal processing capability. In one implementation, the processor can be a circuit with instruction reading and running capability, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), a digital signal processor (DSP), or the like. In another implementation, the processor can implement certain functions through a logical relationship of a hardware circuit, and the logical relationship of the hardware circuit is fixed or can be reconfigured. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In the reconfigurable hardware circuit, the processor loads a configuration document to implement the configuration of the hardware circuit. It can be understood that the processor loads instructions to implement the functions of the above part or all units or modules. In addition, the hardware circuit can also be designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), and the like.

[0430] FIG. 6 is a structural schematic diagram of a terminal according to the embodiments of the present disclosure. As shown in FIG. 6, the terminal 6100 can include a transceiver module 6101 and a processing module 6102. In some embodiments, the transceiver module 6101 is configured to receive a reference signal sent by a network device, and the processing module 6102 is configured to measure the reference signal through a receiving antenna of the terminal, obtain measurement information corresponding to the receiving antenna, determine measurement result information corresponding to the reference signal according to receiving antenna information and the measurement information of the terminal, and use the measurement result information to determine a model input of an AI model. Optionally, the transceiver module 6101 and the processing module 6102 are configured to perform at least one of the determining and / or obtaining communication steps performed by the terminal 101 in any of the above methods. Details are not described herein again.

[0431] In some embodiments, the transceiver module can include a receiving module and a sending module, and the receiving module and the sending module can be separate or integrated together. Optionally, the sending module can be replaced by the transmitter. The receiving module can be replaced by the receiver.

[0432] In some embodiments, the processing module can be one module, or can include multiple sub-modules. Optionally, the multiple sub-modules perform all or part of the steps required to be performed by the processing module, respectively. Optionally, the processing module can be mutually replaced with the processor.

[0433] FIG. 7 is a structural schematic diagram of a network device according to embodiments of the present disclosure. As shown in FIG. 7, the network device 7100 can include a transceiver module 7101. In some embodiments, the transceiver module 7101 is configured to send a reference signal to a terminal, the reference signal being used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model being used to provide an AI service, and the measurement result information being used to determine a model input of the AI model. Optionally, the transceiver module 7101 is configured to perform at least one of the determining and / or obtaining and / or the like communication steps performed by the network device 102 in any of the above methods, which will not be described herein again.

[0434] In some embodiments, the transceiver module can include a receiving module and a sending module, which can be separate or integrated together. Optionally, the sending module can be mutually replaced with the transmitter. The receiving module can be mutually replaced with the receiver.

[0435] FIG. 8 is a structural schematic diagram of a communication device 8100 according to embodiments of the present disclosure. The communication device 8100 can be a network device (such as an access network device, a core network device, etc.), a terminal (such as a user equipment, etc.), a chip, a chip system, or a processor supporting the network device to implement any of the above methods, or a chip, a chip system, or a processor supporting the terminal to implement any of the above methods. The communication device 8100 can be used to implement the methods described in the above method embodiments, and specific implementation can be referred to the descriptions in the above method embodiments.

[0436] As shown in FIG. 8, the communication device 8100 includes one or more third processors 8101. The third processor 8101 can be a general-purpose processor or a special-purpose processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process data of the programs. Optionally, the communication device 8100 is configured to perform any of the above methods. Optionally, the one or more third processors 8101 are configured to invoke instructions to cause the communication device 8100 to perform any of the above methods.

[0437] In some embodiments, the communication device 8100 further includes one or more third transceivers 8102. When the communication device 8100 includes one or more third transceivers 8102, the third transceiver 8102 performs at least one of the communication steps of sending and / or receiving in the above-described methods, and the third processor 8101 performs at least one of the other steps. In optional embodiments, a transceiver can include a receiver and / or a transmitter, which can be separate or integrated together. Optionally, the terms transceiver, transceiving unit, transceiver, transceiving circuit, interface circuit, interface, and the like can be replaced with each other, the terms transmitter, transmitting unit, transmitter, transmitting circuit, and the like can be replaced with each other, and the terms receiver, receiving unit, receiver, receiving circuit, and the like can be replaced with each other.

[0438] In some embodiments, the communication device 8100 further includes one or more third memories 8103 for storing data. Optionally, all or part of the third memory 8103 can also be outside the communication device 8100. In optional embodiments, the communication device 8100 can include one or more first interface circuits 8104. Optionally, the first interface circuit 8104 is connected to the third memory 8103, and the first interface circuit 8104 can be used to receive data from the third memory 8103 or other devices, and can be used to send data to the third processor 8101 or other devices. For example, the first interface circuit 8104 can read the data stored in the third memory 8103 and send the data to the third processor 8101.

[0439] The communication device 8100 described in the above embodiments can be a network device or a terminal, but the scope of the communication device 8100 described in the present disclosure is not limited thereto, and the structure of the communication device 8100 can not be limited by Figure 8. The communication device can be a standalone device or can be part of a larger device. For example, the communication device can be: 1) a standalone integrated circuit (IC), or a chip, or a chip system or subsystem; (2) a set of one or more ICs, which can optionally include storage components for storing data, programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, a smart terminal device, a cellular phone, a wireless device, a handset, a mobile unit, a vehicle-mounted device, a network device, a cloud device, an artificial intelligence device, and the like; (6) others, and the like.

[0440] Figure 9 is a structural schematic diagram of a chip 8200 according to an embodiment of the present disclosure. For the case where the communication device 8100 is a chip or a chip system, reference can be made to the structural schematic diagram of the chip 8200 shown in Figure 9, but not limited thereto.

[0441] The chip 8200 includes one or more fourth processors 8201. The chip 8200 is configured to perform any of the above methods.

[0442] In some embodiments, the chip 8200 further includes one or more second interface circuits 8202. Optionally, the terms interface circuit, interface, transceiver pin, etc. can replace each other. In some embodiments, the chip 8200 further includes one or more fourth memories 8203 configured to store data. Optionally, all or part of the fourth memory 8203 can be outside the chip 8200. Optionally, the second interface circuit 8202 is connected with the fourth memory 8203, the second interface circuit 8202 can be configured to receive data from the fourth memory 8203 or other devices, and the second interface circuit 8202 can be configured to send data to the fourth memory 8203 or other devices. For example, the second interface circuit 8202 can read the data stored in the fourth memory 8203 and send the data to the fourth processor 8201.

[0443] In some embodiments, the second interface circuit 8202 performs at least one of the communication steps such as sending and / or receiving in the above methods. The second interface circuit 8202 performs the communication steps such as sending and / or receiving in the above methods, for example, means that the second interface circuit 8202 performs data interaction between the fourth processor 8201, the chip 8200, the fourth memory 8203 or the transceiver device. In some embodiments, the fourth processor 8201 performs at least one of the other steps.

[0444] The modules and / or devices described in each of the embodiments of the virtual device, the physical device, the chip, etc. can be combined or separated according to the situation. Optionally, part or all of the steps can also be performed by multiple modules and / or devices in cooperation, which is not limited here.

[0445] The disclosure also proposes a storage medium, and the above storage medium stores instructions, when the instructions run on the communication device 8100, the communication device 8100 performs any of the above methods. Optionally, the above storage medium is an electronic storage medium. Optionally, the above storage medium is a computer readable storage medium, but is not limited to this, it can also be a storage medium readable by other devices. Optionally, the above storage medium can be a non-transitory storage medium, but is not limited to this, it can also be a transitory storage medium.

[0446] The disclosure also proposes a program product, and the above program product is executed by the communication device 8100, so that the communication device 8100 performs any of the above methods. Optionally, the above program product is a computer program product.

[0447] The disclosure also proposes a computer program, when it runs on a computer, the computer performs any of the above methods.

Claims

1. A communication method characterized by comprising: The method is performed by a terminal, and the method comprises: receiving a reference signal transmitted by a network device; measuring the reference signal by a receiving antenna of the terminal; obtaining measurement information corresponding to the receiving antenna; determining measurement result information corresponding to the reference signal according to receiving antenna information of the terminal and the measurement information, the measurement result information being used to determine model input of an AI model.

2. The method of claim 1, wherein, The determining of the measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information comprises: determining that multiple receiving antennas are configured in the terminal according to the receiving antenna information; determining the measurement result information from the measurement information based on a set rule, the set rule comprising at least one of the following: taking first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information, the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one; taking second measurement information as the measurement result information, the second measurement information corresponding to a set antenna type; taking third measurement information as the measurement result information, the third measurement information being measurement information with maximum signal power in the multiple measurement information; taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulation of the multiple measurement information; taking the multiple measurement information as the measurement result information.

3. The method of claim 1, wherein, The determining of the measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information comprises: receiving first information transmitted by the network device, the first information being used to indicate a manner in which the terminal determines the measurement result information; determining that multiple receiving antennas are configured in the terminal according to the receiving antenna information; determining the measurement result information according to the first information and the receiving antenna information.

4. The method of claim 3, wherein, The first information comprises any one of the following: taking first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information, the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one; taking second measurement information as the measurement result information, the second measurement information corresponding to a set antenna type; taking third measurement information as the measurement result information, the third measurement information being measurement information with maximum signal power in the multiple measurement information; taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulation of the multiple measurement information; taking the multiple measurement information as the measurement result information.

5. The method according to claim 3 or 4, characterized in that, The method further comprises: transmitting second information to the network device, the second information being used to indicate quantity information of the multiple receiving antennas.

6. The method according to any one of claims 1-5, characterized in that, The method further comprises: transmitting third information to the network device, the third information comprising the measurement result information, the third information further comprising at least one of the following: quantity information of the receiving antennas; a manner in which the terminal determines the measurement result information.

7. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: determining that the terminal is in the model training stage; sending fourth information to the network device, the fourth information including the measurement result information and / or the number of receiving antennas information, the fourth information being used to instruct the network device to determine the AI model according to the fourth information.

8. The method according to any one of claims 1-6, characterized in that, The determination of the measurement result information corresponding to the reference signal according to the receiving antenna information of the terminal and the measurement information includes: determining that the terminal is in the model application stage; sending information indicating the number of receiving antennas to the network device according to the receiving antenna information; receiving fifth information sent by the network device, the fifth information being used to instruct the terminal to determine the measurement result information; determining the measurement result information according to the fifth information.

9. The method according to any one of claims 1-8, characterized in that, The receiving antenna information includes at least one of: The number of receiving antennas information; The type information of the receiving antenna.

10. A communication method characterized by comprising: The method is performed by a network device, and the method includes: sending a reference signal to a terminal, the reference signal being used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model being used to provide an AI service, and the measurement result information being used to determine a model input of the AI model.

11. The method of claim 10, wherein, The method further includes: receiving second information sent by the terminal, the second information being used to indicate the number of receiving antennas supported by the terminal; determining that the terminal supports multiple receiving antennas according to the second information; sending first information to the terminal, the first information being used to instruct the terminal to determine the measurement result information.

12. The method of claim 11, wherein, The first information includes any of: taking first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information; the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one; taking second measurement information as the measurement result information, the receiving antenna type corresponding to the second measurement information being a set antenna type; taking third measurement information as the measurement result information, the third measurement information being measurement information with the maximum signal power in the multiple measurement information; taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulation of the multiple measurement information; taking the multiple measurement information as the measurement result information.

13. The method according to any one of claims 10-12, characterized in that, The method further includes: receiving third information sent by the terminal, the third information including the measurement result information, and the third information further including at least one of: The number of receiving antennas supported by the terminal; The way in which the terminal determines the measurement result information.

14. The method according to any one of claims 10-13, characterized in that, The method further includes: receiving fourth information sent by the terminal, the fourth information including at least one of: the measurement result information, and the number of receiving antennas supported by the terminal; determining the AI model according to the fourth information.

15. The method according to any one of claims 10-13, characterized in that, The method further includes: receiving information of the number of receiving antennas sent by the terminal; generate fifth information according to the information about the number of the receiving antennas and the AI model, the fifth information being used to indicate a manner in which the terminal determines the measurement result information; transmit the fifth information to the terminal.

16. A terminal, characterized by comprise: a transceiver module, configured to receive a reference signal transmitted by a network device; a processing module, configured to measure the reference signal by using receiving antennas of the terminal; obtain measurement information corresponding to the receiving antennas; and determine measurement result information corresponding to the reference signal according to receiving antenna information of the terminal and the measurement information, the measurement result information being used to determine model input of an AI model.

17. The terminal according to claim 16, wherein the processing module is further configured to: determine, according to the receiving antenna information, that multiple receiving antennas are configured in the terminal; and determine the measurement result information from the measurement information based on a setting rule, the setting rule comprising at least one of the following: taking first measurement information as the measurement result information, the first measurement information being any one of multiple measurement information, the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one; taking second measurement information as the measurement result information, the second measurement information corresponding to a receiving antenna type being a set antenna type; taking third measurement information as the measurement result information, the third measurement information being measurement information with maximum signal power in the multiple measurement information; taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulating the multiple measurement information; and taking the multiple measurement information as the measurement result information.

18. The terminal according to claim 16, wherein the transceiver module is further configured to receive first information transmitted by the network device, the first information being used to indicate the manner in which the terminal determines the measurement result information; the processing module is further configured to: determine, according to the receiving antenna information, that multiple receiving antennas are configured in the terminal; and determine the measurement result information according to the first information and the receiving antenna information.

19. The terminal according to claim 18, characterized by the first information comprises any one of the following: taking first measurement information as the measurement result information, the first measurement information being any one of multiple measurement information, the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one; taking second measurement information as the measurement result information, the second measurement information corresponding to a receiving antenna type being a set antenna type; taking third measurement information as the measurement result information, the third measurement information being measurement information with maximum signal power in the multiple measurement information; taking fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulating the multiple measurement information; and taking the multiple measurement information as the measurement result information.

20. The terminal according to claim 18 or 19, characterized by the transceiver module is further configured to: transmit second information to the network device, the second information being used to indicate number information of the multiple receiving antennas.

21. The terminal according to any one of claims 16-20, characterized by the transceiver module is further configured to: sending third information to the network device, the third information comprising the measurement result information, and the third information further comprising at least one of: the number information of the receiving antennas; a manner in which the terminal determines the measurement result information.

22. The terminal of any of claims 16-21, wherein: the processing module is further configured to determine that the terminal is in the model training phase; the transceiver module is further configured to send fourth information to the network device, the fourth information comprising the measurement result information and / or the number information of the receiving antennas, and the fourth information being used to instruct the network device to determine the AI model according to the fourth information.

23. The terminal of any of claims 16-21, wherein: the processing module is further configured to determine that the terminal is in the model application phase; the transceiver module is further configured to send information indicating the number of the receiving antennas to the network device according to the receiving antenna information; and receive fifth information sent by the network device, the fifth information being used to instruct the terminal to determine the measurement result information according to the fifth information. the processing module is further configured to determine the measurement result information according to the fifth information.

24. The terminal according to any one of claims 16-23, characterized by the receiving antenna information comprises at least one of: the number information of the receiving antennas; type information of the receiving antennas.

25. A network device, comprising: comprising: a transceiver module configured to send a reference signal to a terminal, the reference signal being used by the terminal to determine measurement result information corresponding to the reference signal, wherein an AI model is configured in the network device, the AI model being used to provide an AI service, and the measurement result information being used to determine a model input of the AI model.

26. The network device of claim 25, wherein, the network device further comprises a processing module; the transceiver module is further configured to receive second information sent by the terminal, the second information being used to indicate number information of receiving antennas supported by the terminal; the processing module is configured to determine, according to the second information, that the terminal supports multiple receiving antennas; the transceiver module is further configured to send first information to the terminal, the first information being used to instruct the terminal to determine the measurement result information.

27. The network device of claim 26, wherein, the first information comprises any of: first measurement information as the measurement result information, the first measurement information being any measurement information in multiple measurement information, and the multiple measurement information being measurement information corresponding to the multiple receiving antennas one by one; second measurement information as the measurement result information, a receiving antenna type corresponding to the second measurement information being a set antenna type; third measurement information as the measurement result information, the third measurement information being measurement information with maximum signal power in the multiple measurement information; fourth measurement information as the measurement result information, the fourth measurement information being measurement information obtained by accumulation of the multiple measurement information; the multiple measurement information as the measurement result information.

28. The network device of any of claims 25-27, wherein: The transceiver module is further configured to receive third information sent by the terminal, the third information comprising the measurement result information, and the third information further comprising at least one of the following: the number of receive antennas supported by the terminal; a manner in which the terminal determines the measurement result information.

29. The network device of any of claims 25-28, wherein, The network device further comprises a processing module, The transceiver module is further configured to receive fourth information sent by the terminal, the fourth information comprising at least one of the following: the measurement result information, and the number of receive antennas supported by the terminal. The processing module is configured to determine the AI model according to the fourth information.

30. The network device of any of claims 25-28, wherein, The network device further comprises a processing module, The transceiver module is further configured to receive information about the number of receive antennas sent by the terminal. The processing module is configured to generate fourth information according to the information about the number of receive antennas and the AI model, the fourth information being used to indicate a manner in which the terminal determines the measurement result information. The transceiver module is further configured to send the fourth information to the terminal.

31. A terminal, characterized by comprise: one or more processors; The terminal is configured to perform the communication method of any one of claims 1-9.

32. A network device, comprising: comprise: one or more processors; The network device is configured to perform the communication method of any one of claims 10-15.

33. A communication system, characterized by comprise: a terminal configured to perform the method of any one of claims 1-9; and a network device configured to perform the method of any one of claims 10-15.

34. A storage medium, the storage medium storing instructions, wherein, The instructions, when executed on a communication device, cause the communication device to perform the communication method of any one of claims 1-9, or cause the communication device to perform the communication method of any one of claims 10-15.

35. A computer program product comprising computer programs and / or instructions, characterized in that, The computer program and / or instructions, when executed on a communication device, implement the communication method of any one of claims 1-9, or implement the communication method of any one of claims 10-15.

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