Communication method, apparatus and system, and device, storage medium and program product

Abstract

The present disclosure relates to the technical field of communications, and relates to a communication method, apparatus and system, and a device, a storage medium and a program product. The method comprises: on at least one first time unit, sending a first sounding reference signal (SRS) to a network device on the basis of an SRS resource; and on at least one second time unit, sending a second SRS to the network device on the basis of the SRS resource, wherein the SRS resource comprises at least one first offset and at least one second offset, the at least one first time unit is a time unit indicated by the at least one first offset, and the at least one second time unit is a time unit indicated by the at least one second offset. The communication method, apparatus and system, and the device, the storage medium and the program product, which are provided in the present disclosure, are used for monitoring the performance of an artificial-intelligence or machine-learning model in a network device.

Description

Communication methods, devices, equipment, systems, storage media and software products Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a communication method, apparatus, device, system, storage medium, and program product. Background Technology

[0002] In related technologies, the terminal can send a sounding reference signal (SRS) to the network device, and the network device can determine the uplink channel information based on the SRS.

[0003] With the continuous breakthroughs achieved by artificial intelligence (AI) and machine learning (ML) technologies in multiple fields, the third-generation partnership program (3) rd In the Generation Partnership Project (3GPP) Release 18, the Radio Access Network (RAN) Working Group (WG) #1 established a research project on AI / ML technologies in the radio air interface. This project aimed to investigate how to introduce AI / ML technologies into the radio air interface and explore how AI / ML technologies can assist in improving radio air interface transmission technologies.

[0004] Currently, network devices can use AI / ML models to predict future uplink channel information without requiring the terminal to send SRS in the future. Summary of the Invention

[0005] This disclosure provides a communication method, apparatus, device, system, storage medium, and program product for monitoring the performance of artificial intelligence or machine learning models in network devices.

[0006] According to a first aspect of the present disclosure, a communication method is provided, executed by a terminal, the method comprising: transmitting a first SRS to a network device according to a probe reference signal (SRS) resource at at least one first time unit; and transmitting a second SRS to the network device according to the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit being a time unit indicated by the at least one first offset, and the at least one second time unit being a time unit indicated by the at least one second offset.

[0007] In this embodiment of the disclosure, the terminal sends a first SRS to the network device based on the SRS resource at at least one first time unit; and sends a second SRS to the network device based on the SRS resource at at least one second time unit, which helps to improve the accuracy of the network device in monitoring the performance of its AI / ML model based on the first SRS and the second SRS.

[0008] According to a second aspect of the present disclosure, a communication method is provided, performed by a network device, the method comprising: receiving a first SRS from a terminal according to an SRS resource at at least one first time unit; and receiving a second SRS from the terminal according to the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit being a time unit indicated by the at least one first offset, and the at least one second time unit being a time unit indicated by the at least one second offset.

[0009] In this embodiment of the disclosure, the network device receives a first SRS according to the SRS resource at at least one first time unit; and receives a second SRS according to the SRS resource at at least one second time unit. This enables the network device to monitor the performance of its AI / ML model according to the first SRS and the second SRS, which helps to improve the accuracy of the network device in monitoring the performance of its AI / ML model according to the first SRS and the second SRS.

[0010] According to a third aspect of the present disclosure, a communication device is provided, comprising:

[0011] A transceiver module is configured to transmit a first SRS to a network device based on a probe reference signal (SRS) resource at at least one first time unit; and to transmit a second SRS to the network device based on the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit being a time unit indicated by the at least one first offset, and the at least one second time unit being a time unit indicated by the at least one second offset.

[0012] According to a fourth aspect of the present disclosure, a communication device is provided, comprising:

[0013] A transceiver module is configured to receive a first SRS from a terminal based on an SRS resource at least in a first time unit; and to receive a second SRS from the terminal based on the SRS resource at least in a second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit being a time unit indicated by the at least one first offset, and the at least one second time unit being a time unit indicated by the at least one second offset.

[0014] According to a fifth aspect of the present disclosure, a terminal is provided, comprising: one or more processors; wherein the terminal is configured to perform the communication method of any of the first aspects.

[0015] According to a sixth aspect of the present disclosure, a network device is provided, comprising: one or more processors; wherein the network device is configured to perform the communication method of any of the second aspects.

[0016] According to a seventh aspect of the embodiments of this disclosure, a communication system is provided, comprising: a terminal and a network device. The terminal is configured to implement the communication method of any of the first aspects. The network device is configured to implement the communication method of any of the second aspects.

[0017] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions which, when executed on a communication device, implement a communication method as described in either the first or second aspect.

[0018] According to a ninth aspect of the present disclosure, a program product is provided, the program product including a program and / or instructions, which, when executed by a communication device, implement a communication method as described in either the first or second aspect. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0020] Figure 1a is a schematic diagram of a time unit allocation for periodic SRS provided in an embodiment of this disclosure;

[0021] Figure 1b is a schematic diagram in the time domain of the time unit for transmitting SRS and the time unit not used for transmitting SRS provided in the embodiments of this disclosure;

[0022] Figure 1c is a schematic diagram in the time domain of the time unit for transmitting SRS and the time unit not used for transmitting SRS provided in the embodiments of this disclosure.

[0023] Figure 1d is an exemplary architecture diagram of a communication system according to an embodiment of this disclosure;

[0024] Figure 2a is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure;

[0025] Figure 2b is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure;

[0026] Figure 2c is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure;

[0027] Figure 3 is a schematic diagram of a time domain allocation of the first time unit and the second time unit provided in an embodiment of this disclosure;

[0028] Figure 4a is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure;

[0029] Figure 4b is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure;

[0030] Figure 5a is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure;

[0031] Figure 5b is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. Detailed Implementation

[0032] This disclosure provides a communication method, apparatus, device, system, storage medium, and program product for monitoring the performance of artificial intelligence or machine learning models in network devices.

[0033] In a first aspect, embodiments of this disclosure provide a communication method executed by a terminal, the method comprising:

[0034] At least one first time unit, a first SRS is sent to the network device based on the probe reference signal SRS resource;

[0035] At least one second time unit, a second SRS is sent to the network device according to the SRS resource;

[0036] The SRS resource includes at least one first bias and at least one second bias, wherein the at least one first time unit is a time unit indicated by the at least one first bias, and the at least one second time unit is a time unit indicated by the at least one second bias.

[0037] In this embodiment of the disclosure, the terminal sends a first SRS to the network device based on the SRS resource at at least one first time unit; and sends a second SRS to the network device based on the SRS resource at at least one second time unit, which helps to improve the accuracy of the network device in monitoring the performance of its AI / ML model based on the first SRS and the second SRS.

[0038] In conjunction with some embodiments of the first aspect, in some embodiments, any two of the at least one first bias are not the same.

[0039] In this embodiment of the disclosure, at least two of the first biases are different, which can enable the transmission of the first SRS on different first time units, reduce interference between the first SRS, and improve the accuracy of the network device in determining the uplink channel information based on the first SRS.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, any two of the at least one second bias are not the same.

[0041] In this embodiment of the disclosure, at least two of the second biases are different, which enables the transmission of the second SRS on different first time units, thereby reducing interference between the second SRS and improving the accuracy of the network device in determining uplink channel information based on the second SRS.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, any one of the at least one first bias is not the same as any one of the at least one second bias.

[0043] In the embodiments of this disclosure, any one of the at least one first bias is different from any one of the at least one second bias, which enables the transmission of the first SRS and the second SRS at different time units. This helps to reduce interference between the first SRS and the second SRS and improve the accuracy of network devices in monitoring the performance of their AI / ML models based on the first SRS and the second SRS.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, the SRS resource further includes a first period and a second period;

[0045] The first cycle is the cycle during which the terminal sends the first SRS;

[0046] The second cycle is the cycle in which the terminal sends the second SRS.

[0047] In this embodiment of the disclosure, the SRS resource also includes a first period and a second period, enabling the terminal to periodically send the first SRS and the second SRS, which helps the network device to periodically monitor the performance of its AI / ML model and improves the accuracy of the network device in monitoring the performance of its AI / ML model based on the first SRS and the second SRS.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, the SRS resource includes at least one first bias group;

[0049] Each of the at least one first bias group includes at least one third bias;

[0050] The at least one first bias is a third bias in one or more of the at least one first bias groups.

[0051] In conjunction with some embodiments of the first aspect, in some embodiments, any two third biases of any first bias group in the at least one first bias group are different from each other.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, the SRS resource further includes at least one first cycle;

[0053] One of the at least one first cycles is associated with one of the at least one first bias groups;

[0054] The first cycle is the cycle in which the terminal sends the first SRS.

[0055] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0056] Receive the first information from the network device;

[0057] The first information is used to indicate any of the following:

[0058] The one or more first bias groups; or,

[0059] The first cycle associated with one or more first bias groups.

[0060] SRS resources may be indicated via RRC signaling, which is inflexible and makes it difficult to modify / update the first offset group and / or the first period. Therefore, in this embodiment of the present disclosure, if SRS resources are indicated via RRC signaling, the first offset group and / or the first period can be modified / updated via the first information, which helps to improve the flexibility of the terminal to send the first SRS using different first offset groups and / or first periods.

[0061] In conjunction with some embodiments of the first aspect, in some embodiments, the SRS resource includes at least one second bias group;

[0062] Each of the at least one second bias group includes at least one fourth bias;

[0063] Wherein, the at least one second bias is the fourth bias in one or more second bias groups of the at least one second bias group.

[0064] In conjunction with some embodiments of the first aspect, in some embodiments, any two fourth biases of any second bias group in the at least one second bias group are different from each other.

[0065] In conjunction with some embodiments of the first aspect, in some embodiments, the SRS resource further includes at least one second cycle;

[0066] One of the at least two second cycles is associated with one of the at least two second bias groups;

[0067] The second cycle is the cycle in which the terminal sends the second SRS.

[0068] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0069] Receive the second information from the network device;

[0070] The second information is used to indicate any of the following:

[0071] The one or more second bias groups; or,

[0072] The second cycle associated with one or more second bias groups.

[0073] SRS resources may be indicated via RRC signaling, which is inflexible and makes it difficult to modify / update the second bias group and / or the second period. Therefore, in this embodiment of the present disclosure, if SRS resources are indicated via RRC signaling, the second bias group and / or the second period can be modified / updated via the second information, which helps to improve the flexibility of the terminal to send the second SRS using different second bias groups and / or second periods.

[0074] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes: receiving third information from the network device, the third information being used to indicate SRS resources.

[0075] In this embodiment of the disclosure, the network device uses third information to indicate SRS resources, enabling the terminal to send SRS according to the network device's requirements, and ensuring that the network device receives the same SRS and the terminal sends the same SRS resources.

[0076] In conjunction with some embodiments of the first aspect, in some embodiments, the network device includes an artificial intelligence or machine learning model; the first SRS and the second SRS are used by the network device to monitor the performance of the artificial intelligence or machine learning model.

[0077] In conjunction with some embodiments of the first aspect, in some embodiments, the at least one first time unit is located before and closest to the at least one second time unit.

[0078] In this embodiment of the disclosure, at least one first time unit is used to send a first SRS so that the network device can determine first channel information based on the first SRS, and at least one second time unit is used to send a first SRS so that the network device can determine second channel information based on the second SRS. When at least one first time unit is located before at least one second time unit and is closest to at least one second time unit, the first channel information and the second channel information can be made to be relatively similar. This helps the network device to monitor the accuracy of the performance of artificial intelligence or machine learning models based on the first channel information and the second channel information.

[0079] Secondly, embodiments of this disclosure provide a communication method executed by a network device, the method comprising:

[0080] At least one first time unit, a first SRS is received according to the SRS resource;

[0081] At least one second time unit, a second SRS is received according to the SRS resource;

[0082] The SRS resource includes at least one first bias and at least one second bias, wherein the at least one first time unit is a time unit indicated by the at least one first bias, and the at least one second time unit is a time unit indicated by the at least one second bias.

[0083] In this embodiment of the disclosure, the network device receives a first SRS according to the SRS resource at at least one first time unit; and receives a second SRS according to the SRS resource at at least one second time unit. This enables the network device to monitor the performance of its AI / ML model according to the first SRS and the second SRS, which helps to improve the accuracy of the network device in monitoring the performance of its AI / ML model according to the first SRS and the second SRS.

[0084] In conjunction with some embodiments of the second aspect, in some embodiments, any two of the at least one first bias are not the same.

[0085] In this embodiment of the disclosure, at least two of the first biases are different, which can enable the transmission of the first SRS on different first time units, reduce interference between the first SRS, and improve the accuracy of the network device in determining the uplink channel information based on the first SRS.

[0086] In conjunction with some embodiments of the second aspect, in some embodiments, any two of the at least one second bias are not the same.

[0087] In this embodiment of the disclosure, at least two of the second biases are different, which enables the transmission of the second SRS on different first time units, thereby reducing interference between the second SRS and improving the accuracy of the network device in determining uplink channel information based on the second SRS.

[0088] In conjunction with some embodiments of the second aspect, in some embodiments, any one of the at least one first bias is not the same as any one of the at least one second bias.

[0089] In the embodiments of this disclosure, any one of the at least one first bias is different from any one of the at least one second bias, which enables the transmission of the first SRS and the second SRS at different time units. This helps to reduce interference between the first SRS and the second SRS and improve the accuracy of network devices in monitoring the performance of their AI / ML models based on the first SRS and the second SRS.

[0090] In conjunction with some embodiments of the second aspect, in some embodiments, the SRS resource further includes a first period and a second period;

[0091] The first cycle is the cycle for receiving the first SRS;

[0092] The second cycle is the cycle for receiving the second SRS.

[0093] In this embodiment of the disclosure, the SRS resource also includes a first period and a second period, enabling the terminal to periodically send the first SRS and the second SRS, which helps the network device to periodically monitor the performance of its AI / ML model and improves the accuracy of the network device in monitoring the performance of its AI / ML model based on the first SRS and the second SRS.

[0094] In conjunction with some embodiments of the second aspect, in some embodiments, the SRS resource includes at least one first bias group;

[0095] Each of the at least one first bias group includes at least one third bias;

[0096] The at least one first bias is a third bias in one or more first bias groups of the at least one first bias group.

[0097] In conjunction with some embodiments of the second aspect, in some embodiments, any two third biases in any first bias group of the at least one first bias group are different from each other.

[0098] In conjunction with some embodiments of the second aspect, in some embodiments, the SRS resource further includes at least one first cycle;

[0099] One of the at least one first cycles is associated with one of the at least one first bias groups;

[0100] The first cycle is the cycle for receiving the first SRS.

[0101] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0102] Send the first message;

[0103] The first information is used to indicate any of the following:

[0104] The one or more first bias groups; or,

[0105] The first cycle associated with one or more first bias groups.

[0106] SRS resources may be indicated via RRC signaling, which is inflexible and makes it difficult to modify / update the first offset group and / or the first period. Therefore, in this embodiment of the present disclosure, if SRS resources are indicated via RRC signaling, the first offset group and / or the first period can be modified / updated via the first information, which helps to improve the flexibility of the terminal to send the first SRS using different first offset groups and / or first periods.

[0107] In conjunction with some embodiments of the second aspect, in some embodiments, the SRS resource includes at least one second bias group;

[0108] Each of the at least one second bias group includes at least one fourth bias;

[0109] Wherein, the at least one second bias is the fourth bias in one or more second bias groups of the at least one second bias group.

[0110] In conjunction with some embodiments of the second aspect, in some embodiments, any two fourth biases in any second bias group of the at least one second bias group are different from each other.

[0111] In conjunction with some embodiments of the second aspect, in some embodiments, the SRS resource further includes at least one second cycle;

[0112] One of the at least two second cycles is associated with one of the at least two second bias groups;

[0113] The second cycle is the cycle for receiving the second SRS.

[0114] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0115] Send a second message;

[0116] The second information is used to indicate any of the following:

[0117] The one or more second bias groups; or,

[0118] The second cycle associated with one or more second bias groups.

[0119] SRS resources may be indicated via RRC signaling, which is inflexible and makes it difficult to modify / update the second bias group and / or the second period. Therefore, in this embodiment of the present disclosure, if SRS resources are indicated via RRC signaling, the second bias group and / or the second period can be modified / updated via the second information, which helps to improve the flexibility of the terminal to send the second SRS using different second bias groups and / or second periods.

[0120] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0121] Send a third message that indicates the SRS resource.

[0122] In this embodiment of the disclosure, the network device uses third information to indicate SRS resources, enabling the terminal to send SRS according to the network device's requirements, and ensuring that the network device receives the same SRS and the terminal sends the same SRS resources.

[0123] In conjunction with some embodiments of the second aspect, in some embodiments, the network device includes an artificial intelligence or machine learning model, and the method further includes:

[0124] Based on the first SRS, determine the first channel information;

[0125] Based on this second SRS, determine the second channel information;

[0126] The performance of the artificial intelligence or machine learning model is monitored based on the first channel information and the second channel information.

[0127] In conjunction with some embodiments of the second aspect, in some embodiments, monitoring the performance of the artificial intelligence or machine learning model based on the first channel information and the second channel information includes:

[0128] The first channel information is processed using this artificial intelligence or machine learning model to obtain the third channel information;

[0129] The performance of the artificial intelligence or machine learning model is monitored based on the third channel information and the second channel information.

[0130] In conjunction with some embodiments of the second aspect, in some embodiments, the at least one first time unit is located before and closest to the at least one second time unit.

[0131] In this embodiment of the disclosure, when at least one first time unit is located before and closest to at least one second time unit, the first channel information and the second channel information can be made to be relatively similar. This helps the network device to monitor the accuracy of the performance of artificial intelligence or machine learning models based on the first channel information and the second channel information.

[0132] Thirdly, embodiments of this disclosure provide a communication device, the device comprising:

[0133] A transceiver module is configured to transmit a first SRS to a network device based on a probe reference signal (SRS) resource at at least one first time unit; and to transmit a second SRS to the network device based on the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit being a time unit indicated by the at least one first offset, and the at least one second time unit being a time unit indicated by the at least one second offset.

[0134] Fourthly, embodiments of this disclosure provide a communication device, the device comprising:

[0135] A transceiver module is configured to receive a first SRS according to an SRS resource at at least one first time unit; and to receive a second SRS according to the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit being a time unit indicated by the at least one first offset, and the at least one second time unit being a time unit indicated by the at least one second offset.

[0136] Fifthly, embodiments of this disclosure provide a terminal, including: one or more processors; wherein the terminal is configured to execute the communication method of any one of the first aspects.

[0137] In a sixth aspect, embodiments of this disclosure provide a network device, including: one or more processors; wherein the network device is configured to perform the communication method of any of the second aspects.

[0138] In a seventh aspect, embodiments of this disclosure provide a communication system, including: a terminal and / or a network device; wherein the terminal is configured to implement the communication method of any of the first aspects; and the network device is configured to implement the communication method of any of the second aspects.

[0139] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, implement a communication method as described in either the first or second aspect.

[0140] Ninthly, embodiments of this disclosure provide a program product, the program product including a program and / or instructions, which, when executed by a communication device, implement a communication method as described in either the first or second aspect.

[0141] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform a communication method as described in either the first or second aspect.

[0142] Eleventhly, embodiments of this disclosure provide a chip or chip system. The chip or chip system includes processing circuitry configured to perform the communication method described in either the first or second aspect.

[0143] It is understood that the aforementioned communication devices, terminals, network equipment, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0144] This disclosure provides a communication method, apparatus, device, system, storage medium, and program product. In some embodiments, the terms "communication method" and "bearer processing method," "SRS transmission method," etc., can be used interchangeably; the terms "communication apparatus" and "bearer processing apparatus," "SRS transmission apparatus," etc., can be used interchangeably.

[0145] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0146] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0147] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0148] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the aforementioned," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0149] In the embodiments disclosed herein, "multiple" refers to two or more.

[0150] In some embodiments, the terms “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0151] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of B); in some embodiments, B (execute B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, A and B (both A and B are executed). The same applies when there are more branches such as A, B, C, etc.

[0152] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execution of A regardless of B); in some embodiments, B (execution of B regardless of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, C, etc.

[0153] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. For descriptions of the descriptive objects, please refer to the claims or the context of the embodiments. The use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is "measurement," the ordinal numbers preceding "measurement" in "first measurement" and "second measurement" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "measurements" they modify are in the same message, nor do they restrict the order of "first measurement" and "second measurement."

[0154] In some embodiments, “including A,” “containing A,” “instructing A,” and “carrying A” can be interpreted as directly carrying A or indirectly instructing A.

[0155] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0156] 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,” and “above” can be used interchangeably, as can the terms “less than,” “less than or equal to,” “not greater than,” “less than,” “less than or equal to,” “not more than,” “lower than,” “lower than or equal to,” “not higher than,” and “below”.

[0157] In some embodiments, the apparatus and device may be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they may also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "body", etc.

[0158] In some embodiments, " / " represents "or". For example, "indicate / activate / trigger" means indicating or activating or triggering, and "indicate", "activate", and "trigger" can be used interchangeably in some embodiments.

[0159] In some embodiments, terms such as correspondence, association, and indication can be used to connect two or more related entities. For example, a bias group corresponding to / associating with a period can indicate that the bias group and the period are related entities.

[0160] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated. In some embodiments, data, information, etc., may be acquired with the user's consent.

[0161] 1. Sounding reference signal (SRS)

[0162] SRS is a reference signal sent by a terminal to network equipment. In the 5G New Radio (NR) interface, SRS is used for codebook-based uplink transmission, non-codebook-based uplink transmission, downlink channel state information (CSI) acquisition, and beam management.

[0163] For codebook-based uplink transmission, the terminal sends an SRS to the network device according to the SRS resource set configured by the network device. The network device determines the uplink channel information based on the SRS and selects an uplink precoding matrix from the uplink codebook based on the uplink channel information, then instructs the terminal to do so. The terminal uses the uplink precoding matrix indicated by the network device to send a Physical Uplink Shared Channel (PUSCH) to the network device. Uplink channel information may include one or more of the following: uplink channel gain, uplink channel state information (CSI), signal-to-noise ratio (SNR), interference information, and channel matrix. In the case of a single transmission reception point (TRP), the network device configures one SRS resource set for the terminal. In the case of multiple TRPs (mTRP), the network device configures two SRS resource sets for the terminal. In some embodiments, one SRS resource set includes one to eight SRS ports. For example, in fullpowerMode1 mode, one SRS resource set includes one to two SRS resources, and all SRS resources have the same number of SRS ports. For example, in fullpowerMode2 mode, one SRS resource set includes one to four SRS resources, and all SRS resources may have the same or different number of SRS ports.

[0164] For non-codebook-based uplink transmissions, the network device sends a Channel State Information-Reference Signal (CSI-RS) to the terminal. The terminal obtains downlink channel information based on the CSI-RS, utilizes channel exclusivity to determine at least one uplink precoding matrix, and sends the SRS to the network device based on the SRS resource set configured by the network device and the at least one uplink precoding matrix. The network device uses the uplink precoding matrix of the SRS among multiple uplink precoding matrices and indicates this uplink precoding matrix to the terminal. The terminal sends a PUSCH to the network device based on the at least one uplink precoding matrix indicated by the network device. In some embodiments, one SRS resource set includes 1 to 8 SRS ports. For example, in fullpower Mode 1, one SRS resource set includes 1 to 2 SRS resources, all of which have the same number of SRS ports. For example, in fullpowerMode1 mode, one SRS resource set includes 1 to 4 SRS resources, and the number of SRS ports of all SRS resources can be the same or different.

[0165] For downlink CSI acquisition, the terminal uses time division multiplexing (TDM) to sequentially send SRS to the network device from different (receive) antenna ports, based on one periodic SRS resource set and / or one to two semi-persistent SRS resource sets configured by the network device. The network device determines the uplink channel information based on the received SRS and determines the downlink CSI based on channel heterogeneity.

[0166] 2. Time Unit

[0167] A time unit represents a unit of time, which can be, for example, one slot, multiple slots, one millisecond (ms), or multiple milliseconds.

[0168] In this embodiment, the first time unit and the second time unit are the time units for the terminal to send SRS and for the network device to receive SRS. The second time unit is also the time unit corresponding to the uplink channel information predicted and output by the AI / ML model of the network device.

[0169] 3. SRS resource

[0170] SRS resources are a set of physical resources configured by network devices for SRS. SRS resources must include at least the SRS period and offset.

[0171] 4. SRS resource set

[0172] An SRS resource set is a collection that includes one or more SRS resources.

[0173] In some embodiments, the SRS resource can be a periodic SRS resource or a semi-persistent SRS resource, which may be simply referred to as a periodic / semi-persistent SRS resource.

[0174] For periodic / semi-persistent SRS resources, the number of SRS resources included in one SRS resource set is equal to the number of antenna switching operations, i.e., R / T, where T represents the number of transmit antenna ports of the terminal, and R represents the number of receive antenna ports of the terminal. Here, / represents a division operation. For periodic / semi-persistent SRS resources, the number of SRS ports included in one SRS resource is equal to the number of transmit antenna ports of the terminal (i.e., T).

[0175] It should be understood that periodic / semi-persistent SRS resources correspond to periodic / semi-persistent SRS.

[0176] Periodic / semi-persistent SRSs are both periodically repeating in the time domain, and the period and bias of the SRS are configured in the SRS resources. Generally, all SRS resources in the SRS resource set have the same period, while the biases of all these SRS resources may be the same or different.

[0177] In some embodiments, the SRS period, the SRS offset, and the number / index of the time unit used to transmit the SRS within a system frame satisfy the following formula:

[0178] in, n represents the number of time units in a system frame when the subcarrier spacing is configured as μ. f Indicates the system frame number (SFN). T represents the number / index of the time unit used to send SRS within a system frame. SRS T represents the period of the SRS. offset This indicates the bias of SRS, and mod indicates the modulo operation.

[0179] The time unit allocation for periodic SRS is the same as that for semi-continuous SRS. The following explanation uses periodic SRS as an example to illustrate the time unit allocation for SRS.

[0180] Figure 1a is a schematic diagram of time unit allocation for a periodic SRS provided in an embodiment of this disclosure. Figure 1a illustrates an example where one grid represents one time unit, one time unit is one time slot, and the duration of one time slot is 1 ms. As shown in Figure 1a, exemplarily, one SRS resource set includes multiple SRS resources. Exemplarily, the multiple SRS resources include two SRS resources, such as SRS resource 1 and SRS resource 2. Exemplarily, the period of both SRS resources is T. SRS T SRS =10ms.

[0181] SRS resource 1 is used to transmit SRS1, and SRS resource 1 includes the bias T of SRS1. offset,1 T offset,1 =0.

[0182] SRS resource 2 is used to transmit SRS2, and SRS resource 2 includes the offset T of SRS2. offset,2 T offset,2 =5.

[0183] When μ = 0 (i.e., the subcarrier spacing is 15 kHz),

[0184] In T offset,1 When = 0, Characterizing the terminal at any T SRS SRS1 is transmitted in the first time slot within the time slot.

[0185] In T offset,2 =5, Characterizing the terminal at any T SRS SRS2 is transmitted in the 6th time slot within the time slot.

[0186] Accordingly, the network device receives SRS1 in the first time slot and determines the uplink channel information corresponding to the first time slot based on SRS1.

[0187] Accordingly, the network device receives SRS2 in the 6th time slot and determines the uplink channel information corresponding to the 6th time slot based on SRS2.

[0188] The key difference between periodic and semi-persistent SRS lies in the following: For periodic SRS, after the network device configures a periodic SRS resource set for the terminal via Radio Resource Control (RRC) signaling, the SRS resource set takes effect immediately, and the terminal periodically sends SRS messages according to the set. For semi-persistent SRS, after the network device configures the semi-persistent SRS resource set for the terminal via RRC signaling, the network device also needs to send a Medium Access Control-Control Element (MAC-CE) to the terminal to activate / deactivate one or more SRS resource sets. The terminal then periodically sends SRS messages according to the activated SRS resource set.

[0189] Currently, terminals can transmit SRS on certain time units. Network devices receive and measure these SRS, determine the uplink channel information for that specific time unit, and input it into the AI / ML model, causing the AI / ML model to output the uplink channel information for the time units not used to transmit SRS.

[0190] The following section, with reference to Figure 1b, explains the allocation of time units used for transmitting SRS and time units not used for transmitting SRS when predicting uplink channel information based on the AI / ML model.

[0191] Referring to Figure 1b, Figure 1b is a schematic diagram in the time domain of the time unit for transmitting SRS and the time unit not used for transmitting SRS provided in the embodiments of this disclosure. Hereinafter, we will use μ = 0 (i.e., subcarrier spacing of 15kHz) as an example. Taking one time unit as one time slot and one time slot as 1ms as an example, as shown in Figure 1b, for example, the network device has two SRS resources for the terminal, such as SRS resource 1 and SRS resource 2.

[0192] For example, the terminal transmits SRS1 in the first and sixth time slots in Figure 1b according to SRS resource 1.

[0193] For example, the terminal transmits SRS2 in the 11th and 16th time slots in Figure 1b according to SRS resource 2.

[0194] Accordingly, the network device receives SRS1 in the first and sixth time slots of Figure 1b based on SRS resource 1. The network device determines the uplink channel information corresponding to the first time slot based on the SRS1 received in the first time slot, and determines the uplink channel information corresponding to the sixth time slot based on the SRS1 received in the sixth time slot. The network device inputs the uplink channel information corresponding to the first and sixth time slots into the AI / ML model, and outputs the uplink channel information corresponding to the 21st and 26th time slots.

[0195] The network device receives SRS2 in slots 11 and 16 in Figure 1b, based on SRS resource 2. The network device determines the uplink channel information corresponding to slot 11 based on the SRS2 received in slot 11, and determines the uplink channel information corresponding to slot 16 based on the SRS2 received in slot 16. The network device inputs the uplink channel information corresponding to slots 11 and 16 into the AI / ML model, and outputs the uplink channel information corresponding to slots 31 and 36.

[0196] Referring to Figure 1c, Figure 1c is a schematic diagram in the time domain of the time unit for transmitting SRS and the time unit not used for transmitting SRS provided in the embodiments of this disclosure. Hereinafter, we will use μ = 0 (i.e., subcarrier spacing of 15kHz) as an example. Taking one time unit as one time slot and one time slot as 1ms as an example, as shown in Figure 1c, the network device configures two SRS resources for the terminal, such as SRS resource 1 and SRS resource 2.

[0197] For example, the terminal transmits SRS1 in the first and eleventh time slots in Figure 1c according to SRS resource 1.

[0198] For example, the terminal transmits SRS2 in the 6th and 16th time slots in Figure 1c according to SRS resource 2.

[0199] Accordingly, the network device receives SRS1 in the first and eleventh time slots of Figure 1c according to SRS resource 1. Based on the SRS1 received in the first time slot, the network device determines the uplink channel information corresponding to the first time slot, and based on the SRS1 received in the eleventh time slot, determines the uplink channel information corresponding to the eleventh time slot. The network device inputs the uplink channel information corresponding to the first and eleventh time slots into the AI / ML model, and outputs the uplink channel information corresponding to the twentieth and thirtieth time slots.

[0200] The network device receives SRS2 in time slots 6 and 16 of Figure 1c, based on SRS resource 2. The network device determines the uplink channel information corresponding to time slot 6 based on the SRS2 received in time slot 6, and determines the uplink channel information corresponding to time slot 16 based on the SRS2 received in time slot 16. The network device inputs the uplink channel information corresponding to time slots 6 and 16 into the AI / ML model, and outputs the uplink channel information corresponding to time slots 26 and 36.

[0201] It should be understood that in Figures 1b and 1c above, the terminal does not need to send SRS in the 21st, 26th, 31st and 36th time slots. The network device can predict and output the uplink channel information corresponding to the 21st, 26th, 31st and 36th time slots by itself through AI / ML model.

[0202] Currently, the predictive performance of AI / ML models can fluctuate due to factors such as changes in time, scene, or channel environment. For example, changes in the channel environment can lead to a decline in the predictive performance of AI / ML models. Therefore, how to monitor the predictive performance of AI / ML models has become an urgent technical problem to be solved.

[0203] To address the aforementioned issues, this disclosure provides a communication method, apparatus, device, system, storage medium, and program product. In this method, a terminal can send a first SRS based on SRS resources in at least a first time unit, and send a second SRS based on the SRS resources in at least a second time unit, enabling a network device to monitor the performance of an AI / ML model based on the first and second SRSs.

[0204] Before describing the communication methods, apparatus, devices, systems, storage media, and program products provided in the embodiments of this disclosure, the communication system involved in the embodiments of this disclosure will first be described with reference to FIG1d.

[0205] Figure 1d is an exemplary architecture diagram of a communication system according to an embodiment of this disclosure. As shown in Figure 1d, the communication system 100 includes a terminal 101 and a network device 102. It should be understood that the number and form of each device shown in Figure 1d are for illustrative purposes only and do not constitute a limitation on the embodiments of this disclosure. In actual applications, it may include two or more terminals and two or more network devices. The communication system 100 shown in Figure 1d is only illustrated by example, including one terminal 101 and one network device 102.

[0206] In some embodiments, the communication system 100 is, for example, Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), Super 3G, International Mobile Telecommunications-Advanced (IMT-Advanced), 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), Code Division Multiple Access (CDMA), Ultra Mobile Broadband (UMB), Wi-Fi, and World Interoperability for Microwave. Access (WiMAX), Ultra-Wideband (UWB), Bluetooth, Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other communication methods, and next-generation systems built upon them. Furthermore, multiple systems can be combined for application.

[0207] In some embodiments, terminal 101 includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal, augmented reality (AR) terminal, wireless terminal in industrial control, wireless terminal in self-driving, wireless terminal in remote medical surgery, wireless terminal in smart grid, wireless terminal in transportation safety, wireless terminal in smart city, and wireless terminal in smart home.

[0208] In some embodiments, network device 102 may also be referred to as access network device, such as a node or device that connects a terminal to a wireless network. Network device 102 may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation evolved Node B (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), radio backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a Wi-Fi system.

[0209] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0210] In some embodiments, the network device 102 may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0211] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0212] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1d, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1d are illustrative. The communication system 100 may include all or some of the main bodies in FIG1d, or may include other main bodies other than those in FIG1d. The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0213] The communication methods, apparatus, devices, systems, storage media, and program products provided in this disclosure will be described in detail below with reference to the accompanying drawings.

[0214] Referring to Figure 2a, which is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure, the method includes the following steps:

[0215] In step S2101, the network device sends third information to the terminal, which is used to indicate SRS resources.

[0216] In some embodiments, the third information may be carried at least in RRC signaling, MAC-CE, or downlink control information (DCI).

[0217] The following examples illustrate the contents included in SRS resources.

[0218] Example A1, the SRS resource includes: at least one first bias and at least one second bias.

[0219] In some embodiments, any two of the first biases in at least one first bias are not the same; in other words, at least one first bias includes a plurality of first biases, which are not the same as each other, or rather, the plurality of first biases are all different.

[0220] It should be understood that at least two of the first biases are different, and that the two parameters do not need to indicate the same first time unit for transmitting the first SRS.

[0221] In some embodiments, any two of the at least one second bias are not the same; in other words, at least one second bias includes a plurality of second biases, and the plurality of second biases are not the same as each other.

[0222] It should be understood that at least two of the second biases are not the same, and that the two parameters do not need to indicate the same second time unit for transmitting the second SRS.

[0223] In some embodiments, any one of the at least one first bias is different from any one of the at least one second bias.

[0224] Example A2, the SRS resource includes: at least one first bias, one first cycle, at least one second bias and one second cycle.

[0225] In some embodiments, at least one first bias is associated with the first cycle.

[0226] In some embodiments, at least one second bias is associated with the second cycle.

[0227] In some embodiments, the first period is the period during which the terminal transmits SRS according to at least one first bias, or the period during which the network device receives SRS according to at least one first bias.

[0228] In some embodiments, the second period is the period during which the terminal transmits SRS according to at least one second bias, or the period during which the network device receives SRS according to at least one second bias.

[0229] To distinguish the SRS sent by the terminal based on different biases, the SRS sent based on the first bias can be called the first SRS, and the SRS sent based on the second bias can be called the second SRS. It should be understood that the first period is the period during which the terminal sends the first SRS, and the second period is the period during which the terminal sends the second SRS.

[0230] For example, if the SRS resource includes a first offset, a first period, a second offset, and a second period, then the terminal can determine at least one first time unit based on the first period and at least one first offset, wherein in each first period, at least one first offset corresponds one-to-one with at least one first time unit; similarly, the terminal can determine at least one second time unit based on the second period and at least one second offset, wherein in each second period, at least one second offset corresponds one-to-one with at least one second time unit.

[0231] The following uses an SRS resource that includes a first offset, a first period, a second offset, and a second period as an example to illustrate the conditions that the index / identifier / number / ID of at least one first time unit within a system frame must satisfy, and the conditions that the index / identifier / number / ID of at least one second time unit within a system frame must satisfy.

[0232] A first offset indicator / corresponding first time unit within a system frame The following conditions must be met:

[0233] A second offset indicator / corresponding to a second time unit within a system frame The following conditions must be met:

[0234] Among them, T offset,1 Indicates the first bias, T offset,2 Indicates the second bias, T SRS,1 T represents the first period. SRS,2 Indicates the second cycle. The index / identifier / number / ID of the first time unit indicated by the first offset within a system frame. The index / identifier / number / ID of the second time unit indicated by the second offset within a system frame.

[0235] Example A3, the SRS resource includes: at least one first bias group and at least one second bias group.

[0236] In some embodiments, each of the first bias groups in at least one first bias group includes at least one third bias.

[0237] In some embodiments, any two third biases in any first bias group are distinct; in other words, at least one third bias in any first bias group is different. Alternatively, if a first bias group includes multiple third biases, the multiple third biases are distinct / all are different, or rather, every two third biases are distinct.

[0238] In some embodiments, each of the second bias groups in at least one second bias group includes at least one fourth bias.

[0239] In some embodiments, any two fourth biases in any second bias group are distinct; in other words, at least one fourth bias in any first bias group is distinct. Alternatively, if a second bias group includes multiple fourth biases, these multiple fourth biases are distinct or all are different, or rather, every two fourth biases are distinct.

[0240] In some embodiments, one of the first bias groups is associated with one of the first bias groups in at least one second bias group.

[0241] In some embodiments, the number of at least one first bias group and the number of at least one second bias group may be the same or different.

[0242] In some embodiments, at least one first bias group and at least one second bias group correspond one-to-one.

[0243] It should be understood that a first bias group and a second bias group can constitute a pair of first bias groups and a second bias group, that is, an SRS resource includes at least a pair of first bias groups and a second bias group.

[0244] Example A4, the SRS resource includes: at least one first bias group, at least one first cycle, at least one second bias group, and at least one second cycle.

[0245] In some embodiments, one of the at least one first cycle is associated with one of the at least one first bias group. It can also be understood that at least one first cycle and at least one first bias group are associated one-to-one.

[0246] In some embodiments, the number of at least one first cycle may be the same as or different from the number of at least one first bias group.

[0247] In some embodiments, one of the at least two second cycles is associated with one of the at least two second bias groups. It may also be understood that at least one second cycle and at least one second bias group are associated one-to-one.

[0248] In some embodiments, the number of at least one second cycle and the number of at least one second bias group may be the same or different.

[0249] In some embodiments, examples A1 to A4 may be split and / or recombined to obtain new examples.

[0250] In some embodiments, splitting and / or recombining Examples A1 and A3 can yield Examples A5 and A6 as follows.

[0251] Example A5, SRS resources include: at least one first bias and at least one second bias group.

[0252] Example A6, the SRS resource includes: at least one first bias group and at least one second bias.

[0253] In some embodiments, splitting and / or recombining Examples A2 and A4 can yield Examples A7 and A8 as follows.

[0254] Example A7, the SRS resource includes: at least one first bias, a first cycle, at least one second bias group, and at least one second cycle.

[0255] Example A8, the SRS resources include: at least one first bias group, at least one first cycle, at least one second bias and one second cycle.

[0256] In step S2102, the terminal sends the first SRS and the second SRS to the network device according to the SRS resources.

[0257] The following examples, A1 to A4, along with B1 to B15, illustrate the implementation of step S2102. It should be understood that the implementation of step S2102 includes, but is not limited to, examples B1 to B15.

[0258] Example B1, based on Example A1, involves the terminal sending a first SRS to the network device at at least one first time unit with at least one first bias indication, according to the SRS resource; and the terminal sending a second SRS to the network device at at least one second time unit with at least one second bias indication, according to the SRS resource.

[0259] Example B2, based on Example A2, involves the terminal sending a first SRS to the network device according to the SRS resource at at least one first time unit with at least one first bias indication, according to a first period; and the terminal sending a second SRS to the network device according to the SRS resource at at least one second time unit with at least one second bias indication, according to a second period.

[0260] Example B3, based on Example A3, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more first bias groups in at least one first bias group, and one or more second bias groups in at least one second bias group;

[0261] The terminal determines a third bias in one or more first bias groups that are indicated / activated / triggered as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by at least one first bias.

[0262] The terminal determines the fourth bias in one or more second bias groups that are indicated / activated / triggered as at least one second bias, and sends a second SRS to the network device in accordance with the SRS resource at at least one second time unit indicated by at least one second bias.

[0263] In this embodiment of the disclosure, one first bias group can be indicated / activated / triggered at a time. In other words, at most one first bias group can be indicated / activated / triggered at any given time.

[0264] In this embodiment of the disclosure, multiple first bias groups can be indicated / activated / triggered simultaneously. In other words, multiple first bias groups can be indicated / activated / triggered at the same time. No two third biases in these multiple first bias groups are identical.

[0265] It should be understood that the third bias in different first bias groups can be the same or different.

[0266] In this embodiment of the disclosure, one second bias group can be indicated / activated / triggered at a time. In other words, at most one second bias group can be indicated / activated / triggered at any given time.

[0267] In this embodiment of the disclosure, multiple second bias groups can be indicated / activated / triggered simultaneously. In other words, multiple second bias groups can be indicated / activated / triggered at the same time. No two fourth biases in these multiple second bias groups are identical.

[0268] It should be understood that the fourth bias in different second bias groups can be the same or different.

[0269] Example B4, based on Example A3, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more pairs of first bias groups and second bias groups from at least one pair of first bias groups and second bias groups;

[0270] The terminal determines the third bias in one or more pairs of first bias groups and second bias groups that are indicated / activated / triggered as at least one first bias, and sends a first SRS to the network device according to the SRS resource at at least one first time unit indicated by at least one first bias.

[0271] The terminal determines the fourth bias in one or more pairs of first and second bias groups that are indicated / activated / triggered as at least one second bias, and sends a second SRS to the network device in accordance with the SRS resource at at least one second time unit indicated by at least one second bias.

[0272] Example B5, based on Example A3, when one of the first bias groups in at least one first bias group is associated with one of the first bias groups in at least one second bias group, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more of the first bias groups in at least one first bias group;

[0273] The terminal determines a third bias in one or more first bias groups that are indicated / activated / triggered as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by at least one first bias.

[0274] The terminal determines the fourth bias in one or more second bias groups associated with one or more first bias groups as at least one second bias, and sends a second SRS to the network device in accordance with the SRS resource at at least one second time unit indicated by the at least one second bias.

[0275] Example B6, based on Example A3, when one of the first bias groups in at least one first bias group is associated with one of the first bias groups in at least one second bias group, the network device can also send second information to the terminal, the first information being used to indicate / activate / trigger one or more of the first second bias groups;

[0276] The terminal determines the fourth bias in one or more second bias groups that are indicated / activated / triggered as at least one second bias, and sends a second SRS to the network device in accordance with the SRS resource at at least one second time unit indicated by at least one second bias.

[0277] The terminal determines a third bias in one or more first bias groups associated with one or more second bias groups as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by at least one first bias.

[0278] Example B7, based on Example A3, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more first bias groups in at least one first bias group;

[0279] The network device can also send a second message to the terminal, the second message being used to indicate / activate / trigger one or more of at least one second bias group;

[0280] The terminal determines a third bias in one or more first bias groups that are indicated / activated / triggered as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by at least one first bias.

[0281] The terminal determines the fourth bias in one or more second bias groups associated with one or more first bias groups as at least one second bias, and sends a second SRS to the network device in accordance with the SRS resource at at least one second time unit indicated by the at least one second bias.

[0282] Example B8, based on Example A3, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more first bias groups in at least one first bias group, and one or more second bias groups in at least one second bias group;

[0283] The network device can also send a fourth message to the terminal, which is used to deactivate N first bias groups in one or more first bias groups and M second bias groups in one or more second bias groups; N and M can be integers greater than or equal to 0;

[0284] The terminal determines a third bias in one or more first bias groups, excluding the N active first bias groups, as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by the at least one first bias.

[0285] The terminal determines the fourth bias in one or more second bias groups, excluding the M active second bias groups, as at least one second bias, and sends a second SRS to the network device according to the SRS resource at at least one second time unit indicated by the at least one second bias.

[0286] Example B9, based on Example A3, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more first bias groups in at least one first bias group, and one or more second bias groups in at least one second bias group;

[0287] The network device can also send a fourth message to the terminal, which is used to deactivate N first bias groups in one or more first bias groups;

[0288] The network device can also send a fifth message to the terminal, which is used to deactivate M second bias groups in one or more second bias groups;

[0289] The terminal determines a third bias in one or more first bias groups, excluding the N active first bias groups, as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by the at least one first bias.

[0290] The terminal determines the fourth bias in one or more second bias groups, excluding the M active second bias groups, as at least one second bias, and sends a second SRS to the network device according to the SRS resource at at least one second time unit indicated by the at least one second bias.

[0291] Example B10, based on Example A3, the network device can also send first information to the terminal, the first information being used to indicate / activate / trigger one or more first bias groups in at least one first bias group;

[0292] The network device can also send a second message to the terminal, the second message being used to indicate / activate / trigger one or more of at least one second bias group;

[0293] The network device can also send a fourth message to the terminal, which is used to deactivate N first bias groups in one or more first bias groups;

[0294] The network device can also send a fifth message to the terminal, which is used to deactivate M second bias groups in one or more second bias groups;

[0295] The terminal determines a third bias in one or more first bias groups, excluding the N active first bias groups, as at least one first bias, and sends a first SRS to the network device in accordance with the SRS resource at at least one first time unit indicated by the at least one first bias.

[0296] The terminal determines the fourth bias in one or more second bias groups, excluding the M active second bias groups, as at least one second bias, and sends a second SRS to the network device according to the SRS resource at at least one second time unit indicated by the at least one second bias.

[0297] Example B11, based on Example A4, the network device may also send first information to the terminal, the first information being used to indicate / activate / trigger the following: one or more first bias groups in at least one first bias group, a first cycle associated with one or more first bias groups, one or more second bias groups in at least one second bias group, and a second cycle associated with one or more second bias groups;

[0298] For each of one or more first bias groups that are indicated / activated / triggered, the terminal determines a third bias in the first bias group as at least one first bias, and sends a first SRS to the network device according to the SRS resource at at least one first time unit indicated by at least one first bias, in accordance with the first period associated with the first bias group.

[0299] For each of the one or more second bias groups that are indicated / activated / triggered, the terminal determines the fourth bias in the second bias group as at least one second bias, and sends a second SRS to the network device according to the SRS resource at at least one second time unit indicated by at least one second bias group, in accordance with the second period associated with the second bias group.

[0300] Example B12, based on Example A4, the network device may also send first information to the terminal, the first information being used to indicate / activate / trigger the following: one or more first bias groups in at least one first bias group, and a first cycle associated with the one or more first bias groups.

[0301] The network device may also send a second message to the terminal, which is used to indicate / activate / trigger the following: one or more second bias groups in at least one second bias group, and a second cycle associated with the one or more second bias groups.

[0302] For each of one or more first bias groups that are indicated / activated / triggered, the terminal determines a third bias in the first bias group as at least one first bias, and sends a first SRS to the network device according to the SRS resource at at least one first time unit indicated by at least one first bias, in accordance with the first period associated with the first bias group.

[0303] For each of the one or more second bias groups that are indicated / activated / triggered, the terminal determines the fourth bias in the second bias group as at least one second bias, and sends a second SRS to the network device according to the SRS resource at at least one second time unit indicated by at least one second bias group, in accordance with the second period associated with the second bias group.

[0304] Example B13, based on Example A4, the network device may also send first information to the terminal, the first information being used to indicate / activate / trigger the following: one or more first bias groups in at least one first bias group, a first cycle associated with one or more first bias groups, one or more second bias groups in at least one second bias group, and a second cycle associated with one or more second bias groups;

[0305] The network device can also send a fourth message to the terminal, which is used to deactivate the following: N first bias groups in one or more first bias groups, a first period associated with the N first bias groups, M second bias groups in one or more second bias groups, and a second period associated with the M second bias groups.

[0306] The terminal determines the remaining first bias groups from one or more first bias groups, excluding the N active first bias groups;

[0307] The terminal determines the remaining second bias groups from one or more second bias groups, excluding the M active second bias groups;

[0308] For each of the remaining first bias groups, the terminal determines the third bias in the first bias group as at least one first bias, and sends a first SRS to the network device according to the SRS resource in accordance with the first period associated with the first bias group at at least one first time unit indicated by the first bias group.

[0309] For each of the remaining second bias groups, the terminal determines the fourth bias in the second bias group as at least one second bias, and sends a second SRS to the network device according to the SRS resource in accordance with the second period associated with the second bias group at at least one second time unit indicated by the at least one second bias.

[0310] Example B14, based on Example A4, the network device may also send first information to the terminal, the first information being used to indicate / activate / trigger the following: one or more first bias groups in at least one first bias group, a first cycle associated with one or more first bias groups, one or more second bias groups in at least one second bias group, and a second cycle associated with one or more second bias groups;

[0311] The network device can also send a fourth message to the terminal, which is used to deactivate the following: N first bias groups in one or more first bias groups, and the first period associated with the N first bias groups;

[0312] The network device can also send a fifth message to the terminal, which is used to deactivate the following: M second bias groups in one or more second bias groups, and the second period associated with the M second bias groups;

[0313] The terminal determines the remaining first bias groups from one or more first bias groups, excluding the N active first bias groups;

[0314] The terminal determines the remaining second bias groups from one or more second bias groups, excluding the M active second bias groups;

[0315] For each of the remaining first bias groups, the terminal determines the third bias in the first bias group as at least one first bias, and sends a first SRS to the network device according to the SRS resource in accordance with the first period associated with the first bias group at at least one first time unit indicated by the first bias group.

[0316] For each of the remaining second bias groups, the terminal determines the fourth bias in the second bias group as at least one second bias, and sends a second SRS to the network device according to the SRS resource in accordance with the second period associated with the second bias group at at least one second time unit indicated by the at least one second bias.

[0317] Example B15, based on Example A4, the network device may also send first information to the terminal, the first information being used to indicate / activate / trigger the following: one or more first bias groups in at least one first bias group, and a first period associated with the one or more first bias groups;

[0318] The network device may also send a second message to the terminal, the second message being used to indicate / activate / trigger the following: one or more second bias groups in at least one second bias group, and a second cycle associated with the one or more second bias groups;

[0319] The network device can also send a fourth message to the terminal, which is used to deactivate the following: N first bias groups in one or more first bias groups, and the first period associated with the N first bias groups;

[0320] The network device can also send a fifth message to the terminal, which is used to deactivate the following: M second bias groups in one or more second bias groups, and the second period associated with the M second bias groups;

[0321] The terminal determines the remaining first bias groups from one or more first bias groups, excluding the N active first bias groups;

[0322] The terminal determines the remaining second bias groups from one or more second bias groups, excluding the M active second bias groups;

[0323] For each of the remaining first bias groups, the terminal determines the third bias in the first bias group as at least one first bias, and sends a first SRS to the network device according to the SRS resource in accordance with the first period associated with the first bias group at at least one first time unit indicated by the first bias group.

[0324] For each of the remaining second bias groups, the terminal determines the fourth bias in the second bias group as at least one second bias, and sends a second SRS to the network device according to the SRS resource in accordance with the second period associated with the second bias group at at least one second time unit indicated by the at least one second bias.

[0325] In the above embodiments, the first information can be carried on at least MAC-CE or DCI.

[0326] In the above embodiments, the second information can be carried on at least MAC-CE or DCI.

[0327] In the above embodiments, the fourth information can be carried on at least MAC-CE or DCI.

[0328] In the above embodiments, the fifth information can be carried on at least MAC-CE or DCI.

[0329] In some embodiments, when one or more of the first, second, fourth, and fifth information are carried in a MAC-CE, this information can be carried through different MAC-CEs. Different MAC-CEs can be understood as MAC-CEs sent at different times.

[0330] In some embodiments, when one or more of the first, second, fourth, and fifth information are carried in a DCI, these information can be carried through different DCIs. Different DCIs can be understood as DCIs sent at different times.

[0331] In some embodiments, the network device includes an artificial intelligence or machine learning model. A first SRS and a second SRS are used by the network device to monitor the performance of the artificial intelligence or machine learning model.

[0332] In some embodiments, if the first SRS and the second SRS are used by the network device to monitor the performance of an artificial intelligence or machine learning model, then at least one first time unit for sending the first SRS may be located before and closest to at least one second time unit for sending the second SRS.

[0333] In step S2103, the network device determines the first channel information based on the first SRS, determines the second channel information based on the second SRS, and monitors the performance of the artificial intelligence or machine learning model (i.e., AI / ML model) based on the first channel information and the second channel information.

[0334] In some embodiments, the first channel information includes uplink channel information corresponding to at least one first time unit.

[0335] In some embodiments, the network device determines first channel information based on a first SRS, including:

[0336] The network device receives the first SRS according to the SRS resource at least in at least one first time unit;

[0337] Based on the first SRS received at least one first time unit, the uplink channel information corresponding to each of the at least one first time unit is determined, wherein the first SRS received at a first time unit is associated with the uplink channel information corresponding to that first time unit.

[0338] The uplink channel information corresponding to at least one first time unit is determined as the first channel information.

[0339] In some embodiments, the second channel information includes uplink channel information corresponding to at least one second time unit.

[0340] In some embodiments, the network device determines the second channel information based on the second SRS, including:

[0341] The network device receives a second SRS according to the SRS resource at least once in a second time unit;

[0342] Based on the second SRS received at least one second time unit, the uplink channel information corresponding to each of the at least one second time unit is determined, wherein the second SRS received in a second time unit is associated with the uplink channel information corresponding to that second time unit;

[0343] The uplink channel information corresponding to at least one second time unit is determined as the second channel information.

[0344] It is worth noting that the method by which network devices determine the uplink channel information corresponding to the time unit based on SRS can be found in relevant technologies, and will not be elaborated here.

[0345] In some embodiments, the first channel information is processed by an artificial intelligence or machine learning model to obtain the third channel information; the performance of the AI / ML model is monitored based on the third channel information and the second channel information.

[0346] In some embodiments, the third channel information includes prediction channel information corresponding to at least one second time unit.

[0347] In some embodiments, the performance (or predictive performance) of an AI / ML model can be characterized using square generalized cosine similarity (SGCS).

[0348] In some embodiments, if the first channel information is represented as X1 and the AI / ML model is represented as a function f(x), then the third channel information X3 satisfies: X3 = f(X1).

[0349] In some embodiments, the performance SGCS of the AI / ML model satisfies the following formula 3:

[0350] Where K represents the total number of at least one second time unit, X 3,k This represents the predicted channel information corresponding to the k-th second time unit in the third channel information X3, where X... 2,k Let X represent the uplink channel information corresponding to the kth second time unit in the second channel information X2, let ‖‖ represent the norm operation, and let H represent the conjugate transpose.

[0351] It is worth noting that the AI / ML model predicts the third channel information based on the first channel information. The first channel information includes channel information corresponding to at least one first time unit indicated by at least one first bias, and the third channel information includes channel information corresponding to at least one second time unit indicated by at least one second bias. For the AI / ML model to make the prediction of future channel information meaningful, any first time unit in the at least one first time unit and any second time unit in the at least one second time unit must be distinct from each other; that is, any first bias in the at least one first bias must be distinct from any second bias in the at least one second bias.

[0352] In some embodiments, when a decrease in SGCS is detected, the network device can switch from the currently used AI / ML model to another AI / ML model, or determine uplink channel information using existing technologies to improve network performance.

[0353] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2103. For example, step S2101 may be implemented as a standalone embodiment, steps S2101 and S2102 may be implemented as standalone embodiments, and steps S2102 and S2103 may be implemented as standalone embodiments, but are not limited thereto.

[0354] In some embodiments, steps S2101 and S210 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0355] In the embodiments disclosed herein, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations in other embodiments.

[0356] Referring to Figure 2b, which is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure, the communication method includes the following steps:

[0357] In step S2201, the network device sends third information to the terminal. The third information is used to indicate SRS resources, and the SRS resources include at least one first bias group and at least one second bias group.

[0358] In step S2202, the network device sends first information to the terminal, the first information indicating / activating / triggering one or more first bias groups in at least one first bias group, and indicating / activating / triggering one or more second bias groups in at least one second bias group.

[0359] In step S2203, the terminal determines the third bias in one or more first bias groups of indication / activation / trigger as at least one first bias based on the third information and the first information, and determines the fourth bias in one or more second bias groups of indication / activation / trigger as at least one second bias.

[0360] In step S2204, the terminal sends a first SRS to the network device according to the SRS resource at at least one first time unit with at least one first bias indication.

[0361] In step S2205, the terminal sends a second SRS to the network device according to the SRS resource at at least one second time unit of at least one second bias indication.

[0362] In step S2206, the network device determines the first channel information based on the first SRS, determines the second channel information based on the second SRS, and monitors the performance of the AI / ML model based on the first channel information and the second channel information.

[0363] The communication method involved in the embodiments of this disclosure may include at least one of steps S2201 to S2206. For example, step S2201 may be implemented as a standalone embodiment, steps S2201 and S2202 may be implemented as standalone embodiments, steps S2204 and S2205 may be implemented as standalone embodiments, and steps S2204 to S2206 may be implemented as standalone embodiments, but are not limited thereto.

[0364] In some embodiments, steps S2201 and S2202 may be performed in an alternate order or simultaneously, and steps S2204 and S2205 may be performed in an alternate order or simultaneously.

[0365] In some embodiments, steps S2201, S2202, S2203, and S2205 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0366] In the embodiments disclosed herein, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations in other embodiments.

[0367] Referring to Figure 2c, which is an exemplary flowchart of a communication method provided according to an embodiment of the present disclosure, the communication method includes the following steps:

[0368] In step S2301, the network device sends third information to the terminal. The third information is used to indicate SRS resources, and the SRS resources include at least one first bias group and at least one second bias group.

[0369] In step S2302, the network device sends first information to the terminal, the first information indicating / activating / triggering one or more first bias groups from at least one first bias group.

[0370] In step S2303, the network device sends second information to the terminal, the second information indicating / activating / triggering one or more second bias groups in at least one second bias group.

[0371] In step S2304, the terminal determines the third bias in one or more first bias groups that are indicated / activated / triggered as at least one first bias based on the third information and the first information.

[0372] In step S2305, the terminal determines the fourth bias in one or more second bias groups that are indicated / activated / triggered as at least one second bias based on the third information and the second information.

[0373] In step S2306, the terminal sends a first SRS to the network device at at least one first time unit with at least one first bias indication, based on the SRS resource.

[0374] In step S2307, the terminal sends a second SRS to the network device according to the SRS resource at at least one second time unit of at least one second bias indication.

[0375] In step S2308, the network device determines the first channel information based on the first SRS, determines the second channel information based on the second SRS, and monitors the performance of the AI / ML model based on the first channel information and the second channel information.

[0376] The communication method involved in the embodiments of this disclosure may include at least one of steps S2301 to S2308. For example, step S2301 may be implemented as a standalone embodiment, steps S2306 and S2307 may be implemented as standalone embodiments, steps S2302 to S2303 may be implemented as standalone embodiments, steps S2302 to S2307 may be implemented as standalone embodiments, and steps S2304 to S2306 may be implemented as standalone embodiments, but are not limited thereto.

[0377] In some embodiments, steps S2301 to S2303 may be performed in an alternate order or simultaneously, steps S2304 and S2305 may be performed in an alternate order or simultaneously, and steps S2306 and S2307 may be performed in an alternate order or simultaneously.

[0378] In some embodiments, steps S2301 to S2305 and step S2308 are optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0379] In the embodiments disclosed herein, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations in other embodiments.

[0380] In the embodiments disclosed herein, some or all of the steps, their optional implementations, and any examples thereof may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0381] The allocation of the first and second time units in the time domain of this design is explained below with reference to Figure 3.

[0382] Please refer to Figure 3, which is a schematic diagram of a time-domain allocation of the first and second time units provided in an embodiment of this disclosure. Hereinafter, μ = 0 (i.e., subcarrier spacing is 15kHz). Taking one time unit as one time slot, and one time slot as 1ms as an example, the SRS resource period T is shown in Figure 3. SRS =5ms, bias T offset =0.

[0383] The network device activates a first bias group and a first cycle. This first bias group includes two third biases; it should be understood that the first bias group includes two first bias Ts. offset,1,1 and T offset,1,2 , among which, T offset,1,1 =0,T offset,1,2 =5. First period T SRS,1 For: T SRS,1 =20ms.

[0384] The network device also activated a second bias group and a second cycle. This second bias group includes two fourth biases; it should be understood that this second bias group includes two second bias Ts. offset,2,1 and T offset,2,2 , among which, T offset,2,1 =30, T offset,2,2 =35. Second period T SRS,2 For: T SRS,2 =40ms.

[0385] For example, the terminal determines a plurality of first time units, including the first time unit, the sixth time unit, the 21st time unit and the 26th time unit in FIG3, based on the first bias group and the first period; and determines at least one second time unit, including the 31st time unit and the 36th time unit in FIG3, based on the second bias group and the second period.

[0386] The terminal transmits a first SRS, denoted as SRS1, on multiple first time units and transmits a second SRS, denoted as SRS2, on at least one second time unit.

[0387] The network device receives SRS1 in at least one first time unit that is closest to and precedes at least one second time unit among multiple first time units, determines the first channel information, inputs the first channel information into the AI / ML model, and outputs the third channel information; the network device receives SRS2 in at least one second time unit, determines the second channel information; and determines the performance of the AI / ML model based on the second channel information and the third channel information, thereby completing the performance monitoring of the AI / ML model.

[0388] For example, in Figure 3, at least one first time unit is the 21st time unit and the 26th time unit.

[0389] According to the method provided in the embodiments of this disclosure, the network device can also send a first SRS resource to the terminal. The first SRS resource includes at least one first offset and at least one second offset. The first offset is used to indicate a first timeslot, and the second offset is used to indicate a second timeslot. The first timeslot is the timeslot in which the terminal sends the first SRS, and the second timeslot is the timeslot in which the terminal sends the second SRS.

[0390] The terminal sends the first SRS and the second SRS to the network device based on the first SRS resource.

[0391] The network device receives the first SRS and the second SRS sent by the terminal according to the first SRS resource, determines the first channel information according to the first SRS, determines the second channel information according to the second SRS, and then monitors the performance of the AI / ML model according to the first channel information and the second channel information.

[0392] The network device monitors the performance of the AI / ML model based on the first channel information and the second channel information, including: the network device includes an AI / ML model, the AI / ML model is used to predict the third channel information based on the first channel information, the network device uses the first channel information as input to the AI / ML model, outputs the third channel information, and determines the prediction performance of the AI / ML model based on the third channel information and the second channel information.

[0393] Optionally, if at least one first bias includes multiple first biases, then every two of the first biases are different.

[0394] Optionally, if at least one second bias includes multiple second biases, then every two of the second biases are different.

[0395] Optionally, any one of the first biases in at least one first bias is different from any one of the second biases in at least one second bias.

[0396] Example C1: The first SRS resource includes a first period and a second period. The first period is used to indicate the period during which the terminal sends the first SRS, and the second period is used to indicate the period during which the terminal sends the second SRS.

[0397] Example C2, the first SRS resource includes at least one set of first biases and at least one set of second biases, each set of first biases including at least one first bias, and each set of second biases including at least one second bias.

[0398] Optionally, if a set of first biases includes multiple first biases, then every two of the first biases are different.

[0399] Optionally, if a set of second biases includes multiple second biases, then every two of the second biases are different.

[0400] Building upon example C2, the network device can send initial information to the terminal.

[0401] In some embodiments, the first information may be used to activate / deactivate one or more of at least one set of first biases;

[0402] Optionally, the first information is carried on MAC-CE or DCI;

[0403] Optionally, multiple sets of first biases may be activated simultaneously, wherein no two first biases are the same;

[0404] Optionally, at most one set of first biases can be activated at any given time.

[0405] In some embodiments, the first information may also be used to simultaneously activate / deactivate one or more of at least one set of second biases.

[0406] Optionally, multiple sets of second biases may be activated simultaneously, wherein no two second biases are identical.

[0407] Optionally, at most one set of second biases can be activated at any given time.

[0408] Optionally, at least one set of first biases is associated with at least one set of second biases.

[0409] Optionally, at least one set of first biases has the same number of groups as at least one set of second biases.

[0410] Optionally, at least one set of first biases and at least one set of second biases correspond one-to-one.

[0411] In some embodiments, the network device sends second information to the terminal.

[0412] In some embodiments, the second information activates / deactivates one or more of at least one set of second biases.

[0413] Optionally, the second information is carried on MAC-CE or DCI;

[0414] Optionally, multiple sets of second biases may be activated simultaneously, wherein no two of the second biases in the multiple sets are the same.

[0415] Optionally, at most one set of second biases can be activated at any given time.

[0416] Example C3: The first SRS resource includes at least one first cycle and at least one second cycle.

[0417] At least one set of first biases is associated with at least one first cycle, and at least one set of second biases is associated with at least one second cycle.

[0418] Optionally, at least one set of first biases has the same number of groups as at least one first cycle, and at least one set of second biases has the same number of groups as at least one second cycle.

[0419] Optionally, at least one set of first biases is associated with at least one first cycle, and at least one set of second biases is associated with at least one second cycle.

[0420] In some embodiments, the network device sends first information to the terminal.

[0421] In some embodiments, the first information activates / deactivates one or more of a set of first biases from at least one set of first biases.

[0422] The first information activates / deactivates one or more sets of first biases from at least one set of first biases, including: activating one or more sets of first biases with the first information, and activating one or more first cycles associated with the set of one or more sets of first biases.

[0423] In some embodiments, the first information and / or the second information activate / deactivate one or more sets of second biases from at least one set of second biases.

[0424] The first information and / or the second information activate / deactivate one or more sets of second biases from at least one set of second biases, including: the first information and / or the second information simultaneously activate one or more sets of second biases, and one or more second cycles associated with one or more sets of second biases.

[0425] In another optional embodiment of this disclosure, steps 1-5 are shown below.

[0426] Step 1: The network device sends a first SRS resource to the terminal device. The first SRS resource includes at least one first offset and at least one second offset. The first offset is used to indicate a first timeslot, and the second offset is used to indicate a second timeslot. The first timeslot is the timeslot in which the terminal device sends the first SRS, and the second timeslot is the timeslot in which the terminal device sends the second SRS.

[0427] Step 2: The terminal device receives the first SRS resource sent by the network device.

[0428] Step 3: The terminal device sends the first SRS to the network device in the first time slot and the second SRS to the network device in the second time slot, based on the first SRS resource.

[0429] Step 4: The network device receives the first SRS and the second SRS sent by the terminal device, then determines the first channel information based on the first SRS and the second channel information based on the second SRS.

[0430] Step 5: The network device monitors the performance of the AI / ML model based on the first channel information and the second channel information.

[0431] Optionally, "the network device monitors the performance of the AI / ML model based on the first channel information and the second channel information" includes: the network device includes an AI / ML model, the AI / ML model is used to predict the second channel information based on the first channel information, the network device uses the first channel information as input to the AI / ML model, outputs the third channel information, and determines the prediction performance of the AI / ML model based on the third channel information and the second channel information.

[0432] For example, if the first channel information is H1 and the second channel information is H2, the AI / ML model can be represented by the function f(x), then the output of the AI / ML model is H3 = f(H1), which is the third channel information; the prediction performance of the AI / ML model can be characterized by SGCS.

[0433] Where H 2,k H represents a sample of H2. 3,k A sample of H3 is represented by H3. There are K samples in total. Each sample can be understood as an uplink channel information. It should be understood that this disclosure does not exclude other methods for characterizing performance.

[0434] Optionally, if at least one first offset includes multiple first offsets, then every two first offsets must be different. It should be understood that the two parameters do not need to indicate the same transmit SRS slot.

[0435] Optionally, if at least one second offset includes multiple second offsets, then every two second offsets must be different. It should be understood that the two parameters do not need to indicate the same transmit SRS slot.

[0436] Optionally, any one of the at least one first biases is distinct from any one of the at least one second biases. It should be understood that the AI / ML model predicts the second channel information based on the first channel information, where the first channel information is the channel information on at least one first time slot indicated by at least one first bias, and the predicted second channel information is the channel information on at least one second time slot indicated by at least one second bias. For the AI / ML model to predict future channel information meaningfully, any one of the at least one first biases is distinct from any one of the at least one second biases; that is, any one of the at least one first time slots and any one of the at least one second time slots are distinct.

[0437] Optionally, the first SRS resource includes a first period and a second period. The first period is used to indicate the period during which the terminal device transmits the first SRS, and the second period is used to indicate the period during which the terminal device transmits the second SRS. It should be understood that the terminal device determines at least one first time slot based on the first period included in the first SRS resource and at least one first offset, and the first offset corresponds one-to-one with the first time slot. The determination method is consistent with the prior art. Similarly, the terminal device determines at least one second time slot based on the second period included in the first SRS resource and at least one second offset, and the second offset corresponds one-to-one with the second time slot.

[0438] For example, if the first resource includes a first cycle and a first offset, a second cycle and a second offset, then the first time slot and the second time slot respectively satisfy the following conditions:

[0439] Among them, T offset,1 For the first bias, T offset,2 For the second bias, T SRS,1 For the first period, T SRS,2 For the second cycle, The index of the first time slot corresponding to the first offset within a system frame. The index of the second time slot corresponding to the second offset within a system frame.

[0440] Optionally, the first SRS resource includes at least one set of first biases and at least one set of second biases, each set of first biases including at least one first bias and each set of second biases including at least one second bias.

[0441] Optionally, if a set of first biases includes multiple first biases, then every two first biases are different.

[0442] Optionally, if a set of second biases includes multiple second biases, then every two second biases are different.

[0443] Optionally, the network device sends first information to the terminal device to activate / deactivate one or more of at least one set of first biases.

[0444] Optionally, the first information is carried on MAC-CE or DCI.

[0445] Optionally, multiple sets of first biases may be activated simultaneously, where no two first biases are identical. It should be understood that the values ​​of the first biases in different sets of first biases may be the same or different.

[0446] Optionally, at most one set of first biases can be activated at any given time.

[0447] Optionally, the first information may also simultaneously activate / deactivate at least one or more of the second biases.

[0448] Optionally, multiple sets of second biases may be activated simultaneously, wherein no two second biases are identical.

[0449] Optionally, at most one set of second biases can be activated at any given time.

[0450] Optionally, at least one set of first biases is associated with at least one set of second biases.

[0451] Optionally, at least one set of first biases has the same number of groups as at least one set of second biases.

[0452] Optionally, at least one set of first biases and at least one set of second biases correspond one-to-one.

[0453] It should be understood that a first bias and a second bias constitute a pair. The network device configures at least one pair of first bias groups and second bias groups for the terminal device. The first information will activate / deactivate one of the first bias groups and second bias groups.

[0454] Optionally, the network device sends a second message to the terminal device to activate / deactivate one or more of at least one set of second biases.

[0455] Optionally, the second information is carried on MAC-CE or DCI.

[0456] Optionally, multiple sets of second biases may be activated simultaneously, wherein no two second biases are identical.

[0457] Optionally, at most one set of second biases can be activated at any given time.

[0458] It should be understood that under this scheme, network devices use different information to activate / deactivate one or more sets of first bias and one or more sets of second bias.

[0459] Optionally, the first SRS resource includes at least one first cycle and at least one second cycle.

[0460] Optionally, at least one set of first biases is associated with at least one first cycle, and at least one set of second biases is associated with at least one second cycle.

[0461] Optionally, at least one set of first biases has the same number of groups as at least one first cycle, and at least one set of second biases has the same number of groups as at least one second cycle.

[0462] Optionally, at least one set of first biases is associated with at least one first cycle, and at least one set of second biases is associated with at least one second cycle.

[0463] Optionally, the first information activates / deactivates one or more sets of first biases from at least one set of first biases, including: the first information simultaneously activates one or more first cycles associated with one or more sets of first biases.

[0464] It should be understood that the first information simultaneously activates one or more sets of first biases and one or more associated first cycles, and the terminal device determines the first time slot based on this set of one or more sets of first biases and one or more associated first cycles.

[0465] Optionally, the first information and / or the second information activate / deactivate one or more sets of second biases from at least one set of second biases, including: the first information and / or the second information simultaneously activate one or more second cycles associated with one or more sets of second biases.

[0466] It should be understood that the first information and / or the second information simultaneously activate one or more sets of second biases and one or more associated second cycles, and the terminal device determines the second time slot based on this set of one or more sets of second biases and one or more associated second cycles.

[0467] It should be understood that since the first SRS resource is carried on RRC signaling, it has poor flexibility and is not easy to modify. In order to improve flexibility, multiple sets of first offsets, multiple sets of second offsets, multiple first cycles and / or multiple second cycles can be configured, and one set of offsets and / or one cycle can be activated / deactivated through first information and / or second information.

[0468] This disclosure also provides embodiments of an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the first device in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by the second device in any of the above methods.

[0469] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0470] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute capabilities, such as a Central Processing Unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and configuring the hardware circuit can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. Furthermore, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a Neural Network Processing Unit (NPU), a Tensor Processing Unit (TPU), or a Deep Learning Processing Unit (DPU).

[0471] Figure 4a is a schematic diagram of the structure of a communication device according to an embodiment of the present disclosure. As shown in Figure 4a, the communication device 4100 may include at least one of a transceiver module 4101 and a processing module 4102.

[0472] In some embodiments, the transceiver module 4101 is configured to transmit a first SRS to a network device based on a probe reference signal (SRS) resource at at least one first time unit; and to transmit a second SRS to the network device based on the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first offset and at least one second offset, the at least one first time unit is a time unit indicated by at least one first offset, and the at least one second time unit is a time unit indicated by at least one second offset.

[0473] Optionally, the transceiver module 4101 is used to perform at least one of the communication steps such as sending and / or receiving performed by the terminal 101 in any of the above methods (e.g., steps S2102, S2204, S2205, S2306, S2307, but not limited thereto), which will not be described in detail here.

[0474] Optionally, the processing module 4102 is used to execute at least one of the other steps (such as step S2203, step S2304, step S2305, but not limited thereto) executed by the terminal 101 in any of the above methods, which will not be described in detail here.

[0475] Figure 4b is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure. As shown in Figure 4b, the communication device 4200 may include at least one of a transceiver module 4201 and a processing module 4202.

[0476] In some embodiments, the transceiver module 4201 is configured to receive a first SRS from the terminal according to the SRS resource at at least one first time unit; and to receive a second SRS from the terminal according to the SRS resource at at least one second time unit; wherein the SRS resource includes at least one first bias and at least one second bias, the at least one first time unit is a time unit indicated by at least one first bias, and the at least one second time unit is a time unit indicated by at least one second bias.

[0477] Optionally, the transceiver module 4201 is used to perform at least one of the communication steps such as sending and / or receiving performed by the network device 102 in any of the above methods (e.g., steps S2101, S2201, S2202, S2301, S2302, S2303, but not limited thereto), which will not be described in detail here.

[0478] Optionally, the processing module 4202 is used to perform at least one of the other steps (such as step S2103, step S2206, step S2308, but not limited thereto) performed by the network device 102 in any of the above methods, which will not be described in detail here.

[0479] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0480] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module. Optionally, the processing module may be interchangeable with a processor.

[0481] Figure 5a is a schematic diagram of the structure of the communication device 5100 proposed in an embodiment of this disclosure. The communication device 5100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 5100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0482] As shown in Figure 5a, the communication device 5100 includes one or more processors 5101. The processor 5101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminals, terminal chips, DUs or CUs, etc.), execute programs, and process program data. Optionally, the communication device 5100 can be used to execute any of the above methods. Optionally, one or more processors 5101 can be used to invoke instructions to cause the communication device 5100 to execute any of the above methods.

[0483] In some embodiments, the communication device 5100 further includes one or more transceivers 5102. When the communication device 5100 includes one or more transceivers 5102, the transceivers 5102 perform at least one of the communication steps such as sending and / or receiving in the above method (e.g., steps S2102, S2204, S2205, S2306, S2307, S2101, S2201, S2202, S2301, S2302, S2303, but not limited thereto), and the processor 5101 performs at least one of other steps (e.g., steps S2203, S2304, S2305, S2103, S2206, S2308, but not limited thereto). In optional embodiments, the transceivers may include a receiver and / or a transmitter, which may be separate or integrated together. Optionally, terms such as transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface can be used interchangeably; terms such as transmitter, transmitting unit, transmitter, and transmitting circuit can be used interchangeably; and terms such as receiver, receiving unit, receiver, and receiving circuit can be used interchangeably.

[0484] In some embodiments, the communication device 5100 further includes one or more memories 5103 for storing data. Optionally, all or part of the memories 5103 may be located outside the communication device 5100. In optional embodiments, the communication device 5100 may include one or more interface circuits 5104. Optionally, the interface circuits 5104 are connected to the memories 5102, and the interface circuits 5104 can be used to receive data from the memories 5102 or other devices, and can be used to send data to the memories 5102 or other devices. For example, the interface circuits 5104 can read data stored in the memories 5102 and send the data to the processor 5101.

[0485] The communication device 5100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 5100 described in this disclosure is not limited thereto, and the structure of the communication device 5100 may not be limited by FIG. 5a. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal, smart terminal, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0486] Figure 5b is a schematic diagram of the structure of the chip 5200 proposed in an embodiment of this disclosure. For cases where the communication device 5100 can be a chip or a chip system, the schematic diagram of the chip 5200 shown in Figure 5b can be referenced, but the invention is not limited thereto.

[0487] Chip 5200 includes one or more processors 5201. Chip 5200 is used to perform any of the methods described above.

[0488] In some embodiments, chip 5200 further includes one or more interface circuits 5202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 5200 further includes one or more memories 5203 for storing data. Optionally, all or part of the memories 5203 may be located outside of chip 5200. Optionally, interface circuit 5202 is connected to memory 5203, and interface circuit 5202 can be used to receive data from memory 5203 or other devices, and interface circuit 5202 can be used to send data to memory 5203 or other devices. For example, interface circuit 5202 can read data stored in memory 5203 and send the data to processor 5201.

[0489] In some embodiments, the interface circuit 5202 performs at least one of the communication steps such as sending and / or receiving in the above-described method (e.g., steps S2102, S2204, S2205, S2306, S2307, S2101, S2201, S2202, S2301, S2302, S2303, but not limited thereto). The interface circuit 5202 performing the communication steps such as sending and / or receiving in the above-described method refers, for example, to the interface circuit 5202 performing data interaction between the processor 5201, the chip 5200, the memory 5203, or the transceiver device. In some embodiments, the processor 5201 performs at least one of other steps (e.g., steps S2203, S2304, S2305, S2103, S2206, S2308, but not limited thereto).

[0490] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0491] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 5100, cause the communication device 5100 to perform any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0492] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by the communication device 5100, cause the communication device 5100 to perform any of the above methods. Optionally, the above program product is a computer program product.

[0493] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0494] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0495] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0496] The above are merely specific embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A communication method, characterized in that, The method is executed by a terminal, and the method includes: At least one first time unit, a first SRS is sent to the network device based on the probe reference signal SRS resource; At least one second time unit, a second SRS is sent to the network device according to the SRS resource; The SRS resource includes at least one first bias and at least one second bias, wherein the at least one first time unit is the time unit indicated by the at least one first bias, and the at least one second time unit is the time unit indicated by the at least one second bias.

2. The method of claim 1, wherein, Any two of the at least one first bias are different.

3. The method according to claim 1, characterized in that, Any two of the at least one second bias are different.

4. The method according to any one of claims 1-3, characterized in that, The first bias in the at least one first bias is not the same as the second bias in the at least one second bias.

5. The method according to any one of claims 1-4, characterized in that, The SRS resources also include a first cycle and a second cycle; The first period is the period during which the terminal sends the first SRS; The second period is the period during which the terminal sends the second SRS.

6. The method according to any one of claims 1-4, characterized in that, The SRS resource includes at least one first bias group; Each of the at least one first bias group includes at least one third bias; The at least one first bias is a third bias in one or more of the at least one first bias group.

7. The method according to claim 6, characterized in that, In the at least one first bias group, any two third biases of any first bias group are different from each other.

8. The method according to claim 6 or 7, characterized in that, The SRS resources also include at least one first cycle; One of the at least one first cycles is associated with one of the at least one first bias groups; The first period is the period during which the terminal sends the first SRS.

9. The method according to any one of claims 6-8, characterized in that, The method further includes: Receive first information from the network device; Wherein, the first information is used to indicate any of the following: The one or more first bias groups; or... The first cycle associated with one or more first bias groups.

10. The method according to any one of claims 1-4 or 6-9, characterized in that, The SRS resource includes at least one second bias group; Each of the at least one second bias group includes at least one fourth bias; Wherein, the at least one second bias is the fourth bias in one or more second bias groups of the at least one second bias group.

11. The method according to claim 10, characterized in that, In the at least one second bias group, any two fourth biases of any second bias group are different from each other.

12. The method according to claim 10 or 11, characterized in that, The SRS resources also include at least one second cycle; One of the at least two second cycles is associated with one of the at least two second bias groups; The second period is the period during which the terminal sends the second SRS.

13. The method according to any one of claims 10-12, characterized in that, The method further includes: Receive second information from the network device; The second information is used to indicate any of the following: The one or more second bias groups; or... The second cycle associated with one or more second bias groups.

14. The method according to any one of claims 1-13, characterized in that, The method further includes: Receive third information from the network device, the third information being used to indicate the SRS resource.

15. The method according to any one of claims 1-14, characterized in that, The network device includes an artificial intelligence or machine learning model; The first SRS and the second SRS are used by the network device to monitor the performance of the artificial intelligence or machine learning model.

16. The method according to claim 15, characterized in that, The at least one first time unit is located before and closest to the at least one second time unit.

17. A communication method, characterized in that, The method is performed by a network device, and the method includes: At least one first time unit, a first SRS is received according to the SRS resource; At least one second time unit, a second SRS is received according to the SRS resource; The SRS resource includes at least one first bias and at least one second bias, wherein the at least one first time unit is the time unit indicated by the at least one first bias, and the at least one second time unit is the time unit indicated by the at least one second bias.

18. The method according to claim 17, characterized in that, Any two of the at least one first bias are different.

19. The method according to claim 17, characterized in that, Any two of the at least one second bias are different.

20. The method according to any one of claims 17-19, characterized in that, The first bias in the at least one first bias is not the same as the second bias in the at least one second bias.

21. The method according to any one of claims 17-19, characterized in that, The SRS resources also include a first cycle and a second cycle; The first period is the period for receiving the first SRS; The second period is the period for receiving the second SRS.

22. The method according to any one of claims 17-19, characterized in that, The SRS resource includes at least one first bias group; Each of the at least one first bias group includes at least one third bias; The at least one first bias is a third bias in one or more first bias groups of the at least one first bias group.

23. The method according to claim 22, characterized in that, The three third biases in any two of the at least one first bias groups are different from each other.

24. The method according to claim 22 or 23, characterized in that, The SRS resources also include at least one first cycle; One of the at least one first cycles is associated with one of the at least one first bias groups; The first period is the period for receiving the first SRS.

25. The method according to any one of claims 22-24, characterized in that, The method further includes: Send the first message; Wherein, the first information is used to indicate any of the following: The one or more first bias groups; or... The first cycle associated with one or more first bias groups.

26. The method according to any one of claims 17-20 or 22-25, characterized in that, The SRS resource includes at least one second bias group; Each of the at least one second bias group includes at least one fourth bias; Wherein, the at least one second bias is the fourth bias in one or more second bias groups of the at least one second bias group.

27. The method according to claim 26, characterized in that, The four fourth biases in any two of the at least one second bias groups are not the same.

28. The method according to claim 26 or 27, characterized in that, The SRS resources also include at least one second cycle; One of the at least two second cycles is associated with one of the at least two second bias groups; The second period is the period for receiving the second SRS.

29. The method according to any one of claims 26-28, characterized in that, The method further includes: Send a second message; The second information is used to indicate any of the following: The one or more second bias groups; or... The second cycle associated with one or more second bias groups.

30. The method according to any one of claims 17-29, characterized in that, The method further includes: Send a third message, which is used to indicate the SRS resource.

31. The method according to any one of claims 17-30, characterized in that, The network device includes an artificial intelligence or machine learning model, and the method further includes: Based on the first SRS, determine the first channel information; The second channel information is determined based on the second SRS; The performance of the artificial intelligence or machine learning model is monitored based on the first channel information and the second channel information.

32. The method according to claim 31, characterized in that, The step of monitoring the performance of the artificial intelligence or machine learning model based on the first channel information and the second channel information includes: The first channel information is processed using the artificial intelligence or machine learning model to obtain the third channel information; The performance of the artificial intelligence or machine learning model is monitored based on the third channel information and the second channel information.

33. The method according to claim 32, characterized in that, The at least one first time unit is located before and closest to the at least one second time unit.

34. A communication device, characterized in that, The communication device is used to perform the communication method according to any one of claims 1 to 16 or any one of claims 17 to 33.

35. A communication system, characterized in that, include: Terminals and network equipment; The terminal is configured to implement the communication method according to any one of claims 1 to 16; The network device is configured to implement the communication method according to any one of claims 17 to 33.

36. A storage medium storing instructions, characterized in that, When the instructions are executed on the communication device, the communication device performs the communication method according to any one of claims 1 to 16 or any one of claims 17 to 33.

37. A program product comprising a program and / or instructions, characterized in that, When the program and / or instructions are executed by the communication device, they implement the communication method as described in any one of claims 1 to 16 and any one of claims 17 to 33.

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