Determination method, communication device, communication system and storage medium

Abstract

The invention provides a determination method, a communication device, a communication system and a storage medium, the method comprising: receiving a first instruction sent by a network device, the first instruction being used for instructing a first processing unit of a terminal to execute a first artificial intelligence (AI) task; determining a first time length, wherein the first time length comprises a time length from a first moment to a second moment; the first moment comprises a moment when the terminal receives the first instruction, and the second moment comprises a moment when the terminal reports a task result of the first AI task to the network equipment. According to the method, the accuracy of terminal reporting is ensured, unnecessary power consumption of the terminal can be avoided, and the power consumption of the terminal is saved.

Description

Determine the method, communication equipment, communication system, and storage medium. Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to determination methods, communication devices, communication systems, and storage media. Background Technology

[0002] With the continuous development of Artificial Intelligence (AI) technology, its applications are becoming increasingly widespread. In communication systems, terminals often need to handle AI tasks, and how to avoid unnecessary power consumption when terminals handle AI tasks is a pressing technical problem that needs to be solved.

[0003] Summary of the Invention

[0004] This disclosure proposes a method for determining communication equipment, a communication system, and a storage medium.

[0005] According to a first aspect of the embodiments of this disclosure, a determination method is proposed, executed by a terminal, comprising at least one of the following:

[0006] The terminal receives a first instruction sent by a network device, the first instruction being used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0007] A first duration is determined, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0008] According to a second aspect of the embodiments of this disclosure, a determination method is provided, performed by a network device, the method comprising:

[0009] Send a first instruction to the terminal, the first instruction being used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task;

[0010] A first duration is determined, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0011] According to a third aspect of the present disclosure, a determination method is provided for a communication system, the communication system including a terminal and a network device, the method comprising:

[0012] The network device sends a first instruction to the terminal, the first instruction being used to instruct the terminal's first processing unit to execute a first artificial intelligence (AI) task.

[0013] The terminal receives the first instruction sent by the network device;

[0014] The terminal and / or the network device determine a first duration, which includes the length of time between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0015] According to a fourth aspect of the embodiments of this disclosure, a terminal is provided, comprising:

[0016] The transceiver module is used to receive a first instruction sent by the network device, wherein the first instruction is used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0017] The processing module is used to determine a first duration, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0018] According to a fifth aspect of the embodiments of this disclosure, a network device is provided, comprising:

[0019] The transceiver module is used to send a first instruction to the terminal, wherein the first instruction is used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0020] The processing module is used to determine a first duration, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0021] According to a sixth aspect of the present disclosure, a communication device is provided, comprising:

[0022] One or more processors;

[0023] The processor is configured to invoke instructions to cause the communication device to execute any of the determination methods described in the first or second aspect.

[0024] According to a seventh aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to implement the determination method described in the first aspect, and the network device is configured to implement the determination method described in the second aspect.

[0025] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions that, when executed on a communication device, cause the communication device to perform a determination method as described in any of the first to second aspects.

[0026] In a ninth aspect, embodiments of this disclosure provide a program product, including a computer program that, when executed by a communication device, implements the determination method as described in the first and second aspects.

[0027] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the determination method as described in the first and second aspects.

[0028] It is understood that the aforementioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of 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. Attached Figure Description

[0029] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0030] Figure 1 is a schematic diagram of the architecture of some communication systems provided in the embodiments of this disclosure;

[0031] Figure 2 is an interactive schematic diagram of a determination method provided in an embodiment of this disclosure;

[0032] Figure 3 is a flowchart illustrating the determination method provided in another embodiment of this disclosure;

[0033] Figure 4 is a flowchart illustrating the determination method provided in another embodiment of this disclosure;

[0034] Figure 5 is a flowchart illustrating the determination method provided in another embodiment of this disclosure;

[0035] Figure 6A is a schematic diagram of the structure of a terminal provided in an embodiment of this disclosure;

[0036] Figure 6B is a schematic diagram of the structure of a network device provided in an embodiment of this disclosure;

[0037] Figure 7A is a schematic diagram of the structure of a communication device provided in an embodiment of this disclosure;

[0038] Figure 7B is a schematic diagram of the structure of a chip provided in an embodiment of this disclosure. Detailed Implementation

[0039] This disclosure provides a determination method, communication device, communication system, and storage medium.

[0040] In a first aspect, embodiments of this disclosure provide a determination method executed by a terminal, the method comprising at least one of the following:

[0041] The terminal receives a first instruction sent by a network device, the first instruction being used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0042] A first duration is determined, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0043] In the above embodiments, a first duration is determined, which includes the time length between a first moment and a second moment. The first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device. Therefore, the first duration can be understood as: the time it takes for the terminal to respond to the task result from the network device after receiving the first AI task, or as: the terminal's working response time for the first AI task. This disclosure provides a method for determining the terminal's working response time, so that after determining the working response time, the terminal can request the network device to schedule appropriate reporting resources for reporting task results based on that working response time. This avoids situations where "the reporting resources scheduled by the network device are earlier than the terminal's working response time, causing the terminal to be unable to complete the task result reporting, or the reporting resources scheduled by the network device are later than the terminal's working response time, causing the terminal to wait for a period of time after determining the task result before completing the task result reporting, thus causing unnecessary power consumption." This ensures the accuracy of the terminal's reporting and avoids unnecessary power consumption, saving terminal power consumption.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, determining the first duration includes:

[0045] A second duration is determined; the second duration includes the time length between the first moment and the third moment, wherein the third moment includes the moment when the first processing unit begins to execute the first AI task;

[0046] A third duration is determined, which includes: the length of time required for the first processing unit to execute the first AI task;

[0047] The first duration is determined based on the second duration and the third duration.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, determining the second duration includes:

[0049] The second duration is determined based on the working state of the first processing unit; wherein the second duration may be the same or different for different working states.

[0050] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0051] A first correspondence is determined based on the protocol agreement and / or the instructions of the network device, wherein the first correspondence is the correspondence between the working state and the second duration.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, determining the second duration includes:

[0053] The second duration is determined based on the task type of the first AI task and / or the working state of the first processing unit; wherein

[0054] The second duration varies when the first processing unit executes different types of first AI tasks under the same working state; and / or

[0055] The second duration may be the same or different when the first AI task of the same type is executed under different working states.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0057] A second correspondence is determined based on the protocol agreement and / or the instructions of the network device. The second correspondence is the correspondence between the working state and / or task type and the second duration.

[0058] In conjunction with some embodiments of the first aspect, in some embodiments, determining the second duration includes:

[0059] The second duration is determined based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task; wherein

[0060] The second duration varies when the first processing unit of terminals with different capabilities is in the same working state; and / or

[0061] The second duration varies when the first processing unit of different capability terminals executes the same type of first AI task.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0063] A third correspondence is determined based on protocol agreements and / or instructions from network devices. The third correspondence is a correspondence between at least one of the following: working status, task type, and terminal capabilities, and the second duration.

[0064] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes at least one of the following:

[0065] Indicate the second duration to the network device;

[0066] Indicate the operating status of the first processing unit to the network device;

[0067] Indicate the terminal's capabilities to the network device.

[0068] In conjunction with some embodiments of the first aspect, in some embodiments, determining the first duration based on the second duration and the third duration includes:

[0069] The sum of the second duration and the third duration is determined as the first duration.

[0070] In conjunction with some embodiments of the first aspect, in some embodiments, the first AI task includes at least one execution step, and the third duration includes at least one sub-duration, the sub-duration including the execution time of the execution step;

[0071] Determining the first duration based on the second duration and the third duration includes:

[0072] Determine the first sub-duration, which is the execution time of the first execution step of the first AI task;

[0073] The first duration is determined by the sum of the larger of the first duration and the second duration, and the durations other than the first duration.

[0074] The above embodiments illustrate a method for the terminal to determine the first duration, enabling the terminal to successfully determine the first duration. This allows the terminal to request the network device to schedule appropriate reporting resources for reporting task results based on the response time. This avoids situations where "the reporting resources scheduled by the network device are earlier than the terminal's response time, causing the terminal to be unable to complete the task result reporting, or the reporting resources scheduled by the network device are later than the terminal's response time, causing the terminal to wait for a period of time after determining the task result before completing the task result reporting, thus causing unnecessary power consumption." This ensures the accuracy of the terminal's reporting and avoids unnecessary power consumption, saving terminal power consumption.

[0075] Secondly, embodiments of this disclosure provide a determination method, executed by a network device, the method comprising:

[0076] Send a first instruction to the terminal, the first instruction being used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task;

[0077] A first duration is determined, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0078] In conjunction with some embodiments of the second aspect, in some embodiments, determining the first duration includes:

[0079] A second duration is determined; the second duration includes the time length between the first moment and the third moment, wherein the third moment includes the moment when the first processing unit begins to execute the first AI task;

[0080] A third duration is determined, which includes: the length of time required for the first processing unit to execute the first AI task;

[0081] The first duration is determined based on the second duration and the third duration.

[0082] In conjunction with some embodiments of the second aspect, in some embodiments, determining the second duration includes:

[0083] Receive the working status of the first processing unit sent by the terminal;

[0084] The second duration is determined based on the working state of the first processing unit; wherein the second duration may be the same or different for different working states.

[0085] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0086] The network device autonomously determines and / or determines a first correspondence based on the protocol agreement, wherein the first correspondence is the correspondence between the working state and the second duration.

[0087] In conjunction with some embodiments of the second aspect, in some embodiments, determining the second duration includes:

[0088] Receive the working status of the first processing unit sent by the terminal;

[0089] The second duration is determined based on the task type of the first AI task and / or the working state of the first processing unit; wherein

[0090] The second duration varies when the first processing unit executes different types of first AI tasks under the same working state; and / or

[0091] The second duration may be the same or different when the first AI task of the same type is executed under different working states.

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

[0093] The network device autonomously determines and / or determines the second correspondence based on the protocol agreement, the second correspondence being the correspondence between the working state and / or task type and the second duration.

[0094] In conjunction with some embodiments of the second aspect, in some embodiments, determining the second duration includes:

[0095] Receive the operating status of the first processing unit and / or the capabilities of the terminal sent by the terminal;

[0096] The second duration is determined based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task; wherein

[0097] The second duration varies when the first processing unit of terminals with different capabilities is in the same working state; and / or

[0098] The second duration varies when the first processing unit of different capability terminals executes the same type of first AI task.

[0099] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0100] The network device autonomously determines and / or determines a third correspondence based on protocol agreement. The third correspondence is a correspondence between at least one of the working status, task type, and terminal capabilities and the second duration.

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

[0102] The network device autonomously determines at least one of the first correspondence, the second correspondence, and the third correspondence, and indicates at least one of the first correspondence, the second correspondence, and the third correspondence to the terminal.

[0103] In conjunction with some embodiments of the second aspect, in some embodiments, determining the second duration includes:

[0104] The second duration indicated by the terminal is received.

[0105] In conjunction with some embodiments of the second aspect, in some embodiments, determining the first duration based on the second duration and the third duration includes:

[0106] The sum of the second duration and the third duration is determined as the first duration.

[0107] In conjunction with some embodiments of the second aspect, in some embodiments, the first AI task includes at least one execution step, and the third duration includes at least one sub-duration, the sub-duration including the execution time of the execution step;

[0108] Determining the first duration based on the second duration and the third duration includes:

[0109] Determine the first sub-duration, which is the execution time of the first execution step of the first AI task;

[0110] The first duration is determined by the sum of the larger of the first duration and the second duration, and the durations other than the first duration.

[0111] Thirdly, embodiments of this disclosure provide a determination method for a communication system, the communication system including a terminal and a network device, the method comprising:

[0112] The network device sends a first instruction to the terminal, the first instruction being used to instruct the terminal's first processing unit to execute a first artificial intelligence (AI) task.

[0113] The terminal receives the first instruction sent by the network device;

[0114] The terminal and / or the network device determine a first duration, which includes the length of time between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0115] Fourthly, embodiments of this disclosure provide a terminal, including:

[0116] The transceiver module is used to receive a first instruction sent by the network device, wherein the first instruction is used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0117] The processing module is used to determine a first duration, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0118] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining the first duration includes:

[0119] A second duration is determined; the second duration includes the time length between the first moment and the third moment, wherein the third moment includes the moment when the first processing unit begins to execute the first AI task;

[0120] A third duration is determined, which includes: the length of time required for the first processing unit to execute the first AI task;

[0121] The first duration is determined based on the second duration and the third duration.

[0122] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining the second duration includes:

[0123] The second duration is determined based on the working state of the first processing unit; wherein the second duration may be the same or different for different working states.

[0124] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0125] A first correspondence is determined based on the protocol agreement and / or the instructions of the network device, wherein the first correspondence is the correspondence between the working state and the second duration.

[0126] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining the second duration includes:

[0127] The second duration is determined based on the task type of the first AI task and / or the working state of the first processing unit; wherein

[0128] The second duration varies when the first processing unit executes different types of first AI tasks under the same working state; and / or

[0129] The second duration may be the same or different when the first AI task of the same type is executed under different working states.

[0130] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0131] A second correspondence is determined based on the protocol agreement and / or the instructions of the network device. The second correspondence is the correspondence between the working state and / or task type and the second duration.

[0132] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining the second duration includes:

[0133] The second duration is determined based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task; wherein

[0134] The second duration varies when the first processing unit of terminals with different capabilities is in the same working state; and / or

[0135] The second duration varies when the first processing unit of different capability terminals executes the same type of first AI task.

[0136] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0137] A third correspondence is determined based on protocol agreements and / or instructions from network devices. The third correspondence is a correspondence between at least one of the following: working status, task type, and terminal capabilities, and the second duration.

[0138] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes at least one of the following:

[0139] Indicate the second duration to the network device;

[0140] Indicate the operating status of the first processing unit to the network device;

[0141] Indicate the terminal's capabilities to the network device.

[0142] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining the first duration based on the second duration and the third duration includes:

[0143] The sum of the second duration and the third duration is determined as the first duration.

[0144] In conjunction with some embodiments of the fourth aspect, in some embodiments, the first AI task includes at least one execution step, and the third duration includes at least one sub-duration, the sub-duration including the execution time of the execution step;

[0145] Determining the first duration based on the second duration and the third duration includes:

[0146] Determine the first sub-duration, which is the execution time of the first execution step of the first AI task;

[0147] The first duration is determined by the sum of the larger of the first duration and the second duration, and the durations other than the first duration.

[0148] Fifthly, embodiments of this disclosure provide a network device, comprising:

[0149] The transceiver module is used to send a first instruction to the terminal, wherein the first instruction is used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0150] The processing module is used to determine a first duration, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0151] In conjunction with some embodiments of the fifth aspect, in some embodiments, determining the first duration includes:

[0152] A second duration is determined; the second duration includes the time length between the first moment and the third moment, wherein the third moment includes the moment when the first processing unit begins to execute the first AI task;

[0153] A third duration is determined, which includes: the length of time required for the first processing unit to execute the first AI task;

[0154] The first duration is determined based on the second duration and the third duration.

[0155] In conjunction with some embodiments of the fifth aspect, in some embodiments, determining the second duration includes:

[0156] Receive the working status of the first processing unit sent by the terminal;

[0157] The second duration is determined based on the working state of the first processing unit; wherein the second duration may be the same or different for different working states.

[0158] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0159] The network device autonomously determines and / or determines a first correspondence based on the protocol agreement, wherein the first correspondence is the correspondence between the working state and the second duration.

[0160] In conjunction with some embodiments of the fifth aspect, in some embodiments, determining the second duration includes:

[0161] Receive the working status of the first processing unit sent by the terminal;

[0162] The second duration is determined based on the task type of the first AI task and / or the working state of the first processing unit; wherein

[0163] The second duration varies when the first processing unit executes different types of first AI tasks under the same working state; and / or

[0164] The second duration may be the same or different when the first AI task of the same type is executed under different working states.

[0165] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0166] The network device autonomously determines and / or determines the second correspondence based on the protocol agreement, the second correspondence being the correspondence between the working state and / or task type and the second duration.

[0167] In conjunction with some embodiments of the fifth aspect, in some embodiments, determining the second duration includes:

[0168] Receive the operating status of the first processing unit and / or the capabilities of the terminal sent by the terminal;

[0169] The second duration is determined based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task; wherein

[0170] The second duration varies when the first processing unit of terminals with different capabilities is in the same working state; and / or

[0171] The second duration varies when the first processing unit of different capability terminals executes the same type of first AI task.

[0172] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0173] The network device autonomously determines and / or determines a third correspondence based on protocol agreement. The third correspondence is a correspondence between at least one of the working status, task type, and terminal capabilities and the second duration.

[0174] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0175] The network device autonomously determines at least one of the first correspondence, the second correspondence, and the third correspondence, and indicates at least one of the first correspondence, the second correspondence, and the third correspondence to the terminal.

[0176] In conjunction with some embodiments of the fifth aspect, in some embodiments, determining the second duration includes:

[0177] The second duration indicated by the terminal is received.

[0178] In conjunction with some embodiments of the fifth aspect, in some embodiments, determining the first duration based on the second duration and the third duration includes:

[0179] The sum of the second duration and the third duration is determined as the first duration.

[0180] In conjunction with some embodiments of the fifth aspect, in some embodiments, the first AI task includes at least one execution step, and the third duration includes at least one sub-duration, the sub-duration including the execution time of the execution step;

[0181] Determining the first duration based on the second duration and the third duration includes:

[0182] Determine the first sub-duration, which is the execution time of the first execution step of the first AI task;

[0183] The first duration is determined by the sum of the larger of the first duration and the second duration, and the durations other than the first duration.

[0184] In a sixth aspect, embodiments of this disclosure provide a communication device comprising: one or more processors; one or more memories for storing instructions; wherein the processors are configured to invoke the instructions to cause the communication device to perform the methods described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0185] In a seventh aspect, embodiments of this disclosure provide a communication system comprising: a terminal and a network device; wherein the terminal is configured to perform the method described in the first aspect and its optional implementations, and the network device is configured to perform the method described in the second aspect and its optional implementations.

[0186] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method described in the first aspect, an optional implementation of the first aspect, the second aspect, and an optional implementation of the second aspect.

[0187] In a ninth aspect, embodiments of this disclosure provide a program product including a computer program that, when executed by a processor, implements the methods described in the first aspect, optional implementations of the first aspect, the second aspect, and optional implementations of the second aspect.

[0188] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in the first aspect, an optional implementation of the first aspect, the second aspect, and an optional implementation of the second aspect.

[0189] It is understood that the aforementioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of 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.

[0190] This disclosure provides a determination method, a communication device, a communication system, and a storage medium. In some embodiments, the terms "determination method" and "information processing method," "information sending method," and "information receiving method" can be used interchangeably; the terms "communication device" and "information processing device," "information sending device," and "information receiving device" can be used interchangeably; and the terms "information processing system," "communication system," "information sending system," and "information receiving system" can be used interchangeably.

[0191] 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.

[0192] 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.

[0193] 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.

[0194] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "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.

[0195] In the embodiments of this disclosure, "multiple" refers to two or more.

[0196] In some embodiments, the terms “at least one of”, “at least one of”, “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0197] The descriptions in this disclosure, such as "at least one of A, B, C..." or "A and / or B and / or C...", include the case where any one of A, B, C... exists alone, as well as the case where any combination of any of A, B, C... exists alone. Each case can exist alone. For example, "at least one of A, B, C" includes the cases of A alone, B alone, C alone, A and B combination, A and C combination, B and C combination, and A and B and C combination. For example, A and / or B includes the cases of A alone, B alone, and A and B combination.

[0198] In some embodiments, the notation "in one case A, in another case B" or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: A is executed regardless of B, i.e., A is executed in some embodiments; B is executed regardless of A, i.e., B is executed in some embodiments; A and B are selectively executed, i.e., A and B are selected for execution in some embodiments; A and B are both executed, i.e., A and B are executed in some embodiments. The same applies when there are more branches such as A, B, and C.

[0199] 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. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0200] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0201] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0202] 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”.

[0203] In some embodiments, devices, etc., can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0204] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0205] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0206] In some embodiments, the terms "terminal", "terminal device", "user equipment (UE)", "user terminal", "mobile station (MS)", "mobile terminal (MT)", "subscriber station", "mobile unit", "subscriber unit", "wireless unit", "remote unit", "mobile device", "wireless device", "wireless communication device", "remote device", "mobile subscriber station", "access terminal", "mobile terminal", "wireless terminal", "remote terminal", "handset", "user agent", "mobile client", and "client" can be used interchangeably.

[0207] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures that replace communication between access network devices, core network devices, or network devices and terminals with communication between multiple terminals (e.g., also referred to as device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, uplink link, downlink link, etc., can be replaced with sidelink link.

[0208] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0209] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0210] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0211] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0212] The correspondences shown in the tables of this disclosure can be configured or predefined. The values ​​of the information in each table are merely examples and can be configured to other values; this disclosure is not limiting. When configuring the correspondences between information and parameters, it is not necessarily required to configure all the correspondences shown in each table. For example, the correspondences shown in some rows of the tables in this disclosure may not be configured. Furthermore, appropriate modifications and adjustments can be made based on the above tables, such as splitting, merging, etc. The names of the parameters shown in the headers of the above tables can also use other names that the communication device can understand, and the values ​​or representations of the parameters can also be other values ​​or representations that the communication device can understand. In the implementation of the above tables, other data structures can also be used, such as arrays, queues, containers, stacks, linear lists, pointers, linked lists, trees, graphs, structures, classes, heaps, hash tables, or hash tables, etc.

[0213] The predefined terms in this disclosure can be understood as defined, predefined, stored, pre-stored, pre-negotiated, pre-configured, solidified, or pre-burned.

[0214] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 may include a terminal and network devices. Optionally, the network devices may include at least one of access network devices and core network devices.

[0215] In some embodiments, the terminal includes, but is not limited to, at least one of the following: mobile phone, user equipment (UE), wearable device, Internet of Things (IoT) device, narrowband Internet of Things (NB-IoT) device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0216] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), wireless 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 wireless fidelity (WiFi) system.

[0217] 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 access 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.

[0218] In some embodiments, the access network device 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 access 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.

[0219] In some embodiments, the core network device may be a single device comprising one or more network elements, or multiple devices or a group of devices, each comprising all or part of one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC). Alternatively, the core network device may also be a location management function network element. Exemplarily, the location management function network element includes a location server, which may be implemented as any of the following: a Location Management Function (LMF), an Enhanced Serving Mobile Location Centre (E-SMLC), a Secure User Plane Location (SUPL), and a Secure User Plane Location Platform (SUPLLP).

[0220] 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.

[0221] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. The connection relationship between the main bodies is illustrative. The main bodies may not be connected to each other or may be connected in any way. The connection may be direct or indirect, wired or wireless.

[0222] The embodiments disclosed herein can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New radio access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X) systems, systems utilizing other deterministic methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0223] Figure 2 is an interactive schematic diagram illustrating the determination method according to an embodiment of the present disclosure. As shown in Figure 2, this embodiment of the disclosure relates to a determination method for a communication system 100, the method comprising:

[0224] Step 2101: The network device sends the first instruction.

[0225] Optionally, the network device may send a first instruction to the terminal, which may receive the first instruction. The first instruction may be used to instruct the terminal's first processing unit to perform a first AI task. The first AI task may, for example, include AI model inference and / or AI model training.

[0226] In some embodiments, the first processing unit may be referred to as an AI processing unit, an AI processor, etc., and this disclosure does not specifically limit it.

[0227] Optionally, the first processing unit can be used to process at least one type of AI task; in other words, the first processing unit can be used to process AI tasks for different AI use cases (features), wherein different AI use cases correspond to different types of AI tasks. Optionally, the AI ​​use case can be understood as a specific application case of AI technology, and the AI ​​use case may include at least one of the following: AI-based Channel State Information (CSI) enhancement, AI-based beam management, and AI-based positioning.

[0228] In some embodiments, the first processing unit may be different from other processing units of the terminal (such as communication processing units).

[0229] Step 2102: The terminal determines the second duration.

[0230] Optionally, the second duration may include the time length between the first moment and the third moment. Optionally, the first moment may include the moment when the terminal receives the first instruction, or the moment when the network device sends the first instruction. The third moment may include the moment when the first processing unit begins to execute the first AI task.

[0231] Optionally, in some embodiments, the terminal can determine the second duration based on the operating state of the first processing unit. Optionally, the operating state may include one or more of a first state, a second state, and a third state. In some embodiments, the first state may refer to the first processing unit executing an AI task; the second state may refer to the first processing unit being in an on state but not executing an AI task; and the third state may refer to the first processing unit being in a off state. Optionally, the second durations corresponding to different operating states may be the same or different. In some embodiments, when different operating states correspond to different second durations, the second duration corresponding to the first state may be less than the second duration corresponding to the second state, and the second duration corresponding to the second state may be less than the second duration corresponding to the third state. Alternatively, the second duration corresponding to the first state may be equal to the second duration corresponding to the second state, and the second duration corresponding to the second state may be less than the second duration corresponding to the third state.

[0232] Optionally, in some embodiments, the power consumption of the terminal in the first, second, and third states described above is different. In some embodiments, the power consumption of the terminal in the first state is greater than that in the second state, which is greater than that in the third state, and the transition between different states also has different transition delays. Optionally, the delay from the third state to the first state is greater than the delay from the second state to the first state.

[0233] Optionally, when the terminal determines the second duration based on the working state of the first processing unit, the terminal may first determine the first correspondence based on the protocol agreement and / or the instruction of the network device. The first correspondence may be the correspondence between the working state and the second duration. Then, the terminal may determine the second duration based on the current working state of the first processing unit and the first correspondence.

[0234] Optionally, in some embodiments, the terminal can determine the second duration based on the task type of the first AI task and / or the working state of the first processing unit. In some embodiments, different working states and / or different task types may correspond to the same or different second durations. Optionally, the second durations corresponding to different types of first AI tasks executed by the first processing unit in the same working state are different; for example, when the first processing unit is in the second state, the second duration corresponding to the task type of the first AI task being "AI-based beam management" is different from the second duration corresponding to the task type of the first AI task being "AI-based positioning". Alternatively, in other embodiments, the second durations corresponding to the same type of first AI task being executed in different working states are the same or different. For example, when the task type of the first AI task is "AI-based beam management", the second duration corresponding to the first processing unit being in the first state may be the same or different from the second duration corresponding to the first processing unit being in the second state.

[0235] Optionally, when the terminal determines the second duration based on the task type of the first AI task and / or the working state of the first processing unit, the terminal may first determine the second correspondence based on the protocol agreement and / or the instruction of the network device. The second correspondence may be the correspondence between the working state and / or the task type and the second duration. Afterward, the terminal may determine the second duration based on the current working state of the first processing unit and / or the task type of the first AI task, combined with the second correspondence.

[0236] Optionally, in some embodiments, the terminal may determine the second duration based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task. Optionally, the terminal's capabilities may include at least one of the following: the terminal's communication capabilities, the terminal's hardware capabilities, and the terminal's processing capabilities for AI tasks. In some embodiments, the second duration corresponding to the first processing units of terminals with different capabilities operating in the same state is different; for example, if terminal #1 has capability #1 and its first processing unit is first processing unit #1, and terminal #2 has capability #2 and its first processing unit is first processing unit #2, then the second duration corresponding to the first processing unit #1 operating in the first state is different from the second duration corresponding to the first processing unit #2 operating in the first state. Alternatively, in other embodiments, the second duration corresponding to the first processing unit of different capability terminals performing the same type of first AI task is different; for example, if the capability of terminal #1 is capability #1 and the first processing unit of terminal #1 is first processing unit #1, and the capability of terminal #2 is capability #2 and the first processing unit of terminal #2 is first processing unit #2, then the second duration corresponding to the first processing unit #1 performing "AI-based beam management" is different from the second duration corresponding to the first processing unit #2 performing "AI-based beam management".

[0237] Optionally, when the terminal determines the second duration based on at least one of the terminal's capabilities, the working state of the first processing unit, and the task type of the first AI task, the terminal may first determine a third correspondence based on the protocol agreement and / or the instruction of the network device. The third correspondence may be a correspondence between at least one of the working state, the task type, and the terminal's capabilities and the second duration. Afterward, the terminal may determine the second duration based on at least one of the working state of the first processing unit, the task type of the first AI task, and the terminal's capabilities, combined with the third correspondence.

[0238] Step 2103: The terminal sends the first information to the network device.

[0239] Optionally, in some embodiments, the first information can be used to determine the second duration described above.

[0240] In some embodiments, the first information may indicate at least one of the following:

[0241] Second duration;

[0242] The working status of the first processing unit;

[0243] Terminal capabilities.

[0244] Step 2104: The network device determines the second duration.

[0245] Optionally, the network device may determine the second duration based on the first information sent by the terminal.

[0246] In some embodiments, when the first information indicates a second duration, the network device can directly determine the second duration based on the first information.

[0247] In some embodiments, when the first information indicates the working state of the first processing unit, the network device can first determine the working state of the first processing unit based on the first information, and then determine the second duration based on the working state of the first processing unit; for example, the network device can determine a first correspondence and determine the second duration based on the first correspondence and the working state indicated by the first information. Alternatively, the network device can determine the second duration based on the working state of the first processing unit and the task type of the first AI task; for example, the network device can determine a second correspondence and determine the second duration based on the second correspondence, the task type of the first AI task, and the working state indicated by the first information.

[0248] In some embodiments, when the first information indicates the terminal's capabilities, the network device can first determine the terminal's capabilities based on the first information, and then determine the second duration based on the terminal's capabilities. For example, the network device can determine a third correspondence and determine the second duration based on the third correspondence and the terminal's capabilities indicated by the first information. Alternatively, the network device can determine the second duration based on the terminal's capabilities and the task type of the first AI task. For example, the network device can determine a third correspondence and determine the second duration based on the third correspondence, the task type of the first AI task, and the terminal's capabilities indicated by the first information.

[0249] In some embodiments, when the first information indicates the capabilities of the terminal and the operating state of the first processing unit, the network device can first determine the capabilities of the terminal and the operating state of the first processing unit based on the first information, and then determine the second duration based on the capabilities of the terminal and the operating state of the first processing unit. For example, the network device can determine a third correspondence and determine the second duration based on the third correspondence, the capabilities of the terminal indicated by the first information, and the operating state indicated by the first information. Alternatively, the network device can determine the second duration based on the capabilities of the terminal, the operating state of the first processing unit, and the task type of the first AI task. For example, the network device can determine a third correspondence and determine the second duration based on the third correspondence, the task type of the first AI task, the capabilities of the terminal indicated by the first information, and the operating state indicated by the first information.

[0250] Optionally, in some embodiments, the first, second, and third correspondences mentioned above may be determined by the network device based on protocol agreements; or, in some embodiments, the first, second, and third correspondences mentioned above may be determined autonomously by the network device. When the first, second, and third correspondences are determined autonomously by the network device, the network device may in advance indicate at least one of the first, second, and third correspondences to the terminal.

[0251] Step 2105: The terminal and / or network device determines the third duration.

[0252] Optionally, the third duration may include the time required for the first processing unit to execute the first AI task. Optionally, different types of AI tasks may correspond to different third durations, and the terminal and / or network device may determine the third duration based on the task type of the first AI task.

[0253] Optionally, in some embodiments, the first AI task may include at least one execution step, each execution step requiring a certain duration, and the third duration corresponding to the first AI task may include the sum of the durations required for all execution steps. For example, suppose the first AI task is "AI-based CSI compression", wherein "AI-based CSI compression" includes the following steps: measuring a signal and compressing the measurement signal; optionally, suppose the duration required for signal measurement is T_measurement, and the duration required for compressing the measurement signal is T_processing, then the third duration corresponding to the first AI task may be T_measurement + T_processing.

[0254] Step 2106: The terminal and / or network device determines the first duration.

[0255] Optionally, the first duration may include the time length between a first moment and a second moment (e.g., the fastest time length); a detailed description of the first moment can be found in step 2102 above. Optionally, the second moment may include the moment when the terminal reports the task result of the first AI task to the network device. That is, the first duration can be understood as the terminal's response time to the first AI task (e.g., the fastest response time).

[0256] Optionally, the terminal and / or network device may determine the first duration based on the second duration and the third duration. Optionally, in some embodiments, the sum of the second duration and the third duration may be used to determine the first duration.

[0257] For example, suppose the first AI task is "AI-based CSI compression", which includes the following steps: measuring the signal and compressing the measurement signal; optionally, suppose the time required for signal measurement is T_measurement and the time required for compressing the measurement signal is T_processing. Then, the third time corresponding to the first AI task is T_measurement + T_processing, so the first time can be determined as: second time + T_measurement + T_processing.

[0258] Optionally, in some embodiments, the third duration may include at least one sub-duration, which corresponds one-to-one with the execution steps of the first AI task, and the sub-duration may include the execution time of the corresponding execution step; in this case, when determining the first duration, the first sub-duration may be determined first, which may be the execution time of the first execution step of the first AI task, and then the sum of the larger value of the first sub-duration and the second duration and the sub-durations other than the first sub-duration may be determined as the first duration.

[0259] For example, suppose the first AI task is "AI-based CSI compression", which includes the following steps in sequence: measuring the signal and compressing the measurement signal; optionally, suppose the time required for signal measurement is T_measurement and the time required for compressing the measurement signal is T_processing. Then, the first sub-duration is T_measurement, and the first duration can be max(second duration, T_measurement) + T_processing.

[0260] Optionally, by executing the above method, the terminal and / or network device can determine the first duration. In some embodiments, the terminal may not determine the first duration, which is instead determined by the network device. For example, after receiving the first instruction, the terminal can determine a second duration and report it to the network device, so that the network device can determine the first duration based on the second and third durations. Alternatively, in other embodiments, the terminal can determine the first duration based on the second and third durations and report it to the network device. Or, in still other embodiments, the terminal can determine the second duration and report it to the network device, after which both the terminal and the network device can determine the first duration based on the second and third durations.

[0261] Step 2107: The network device schedules the first resource to the terminal based on the first duration.

[0262] Optionally, the first resource can be used by the terminal to send the task result of the first AI task to the network device.

[0263] Optionally, when scheduling the first resource to the terminal, the network device can first estimate the time when the terminal reports the task result of the first AI task to the network device based on the first duration. Then, at that time, the network device schedules the first resource to the terminal. This avoids situations where "the reporting resource scheduled by the network device is earlier than the terminal's working response time, causing the terminal to be unable to complete the task result reporting, or the reporting resource scheduled by the network device is later than the terminal's working response time, causing the terminal to wait for a period of time after determining the task result before completing the task result reporting, thus causing unnecessary power consumption of the terminal." This ensures the accuracy of the terminal's reporting and avoids unnecessary power consumption of the terminal, saving terminal power consumption.

[0264] Step 2108: The terminal sends the task result of the first AI task to the network device based on the first resource.

[0265] Optionally, after the terminal determines the result of the first AI task, it may send the result of the first AI task to the network device based on the first resource.

[0266] In the above embodiments, a first duration is determined, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device. Therefore, the first duration can be understood as: the time it takes for the terminal to respond to the task result from the network device after receiving the first AI task, or: the terminal's working response time for the first AI task. This disclosure provides a method for determining the terminal's working response time, so that after determining the working response time, the terminal can request the network device to schedule appropriate reporting resources for reporting task results based on that working response time. This avoids situations where "the reporting resources scheduled by the network device are earlier than the terminal's working response time, causing the terminal to be unable to complete the task result reporting, or the reporting resources scheduled by the network device are later than the terminal's working response time, causing the terminal to wait for a period of time after determining the task result before completing the task result reporting, thus causing unnecessary power consumption." This ensures the accuracy of the terminal's reporting and avoids unnecessary power consumption, saving terminal power consumption.

[0267] The determination method involved in the embodiments of this disclosure may include at least one of steps 2101 to 2108. For example, step 2101 may be implemented as an independent embodiment, step 2102 may be implemented as an independent embodiment, step 2103 may be implemented as an independent embodiment, and step 2101+S2102 may be implemented as an independent embodiment, but is not limited thereto.

[0268] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0269] Figure 3 is a flowchart illustrating a determination method according to an embodiment of the present disclosure. As shown in Figure 3, the present disclosure relates to a determination method for a terminal, the method comprising:

[0270] Step 3101: Receive the first instruction sent by the network device.

[0271] Step 3102: Determine the first duration.

[0272] Optionally, the first instruction is used to instruct the first processing unit of the terminal to perform a first artificial intelligence (AI) task;

[0273] Optionally, the first duration includes: the time length between the first moment and the second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0274] Optionally, determining the first duration includes:

[0275] A second duration is determined; the second duration includes the time length between the first moment and the third moment, wherein the third moment includes the moment when the first processing unit begins to execute the first AI task;

[0276] A third duration is determined, which includes: the length of time required for the first processing unit to execute the first AI task;

[0277] The first duration is determined based on the second duration and the third duration.

[0278] Optionally, determining the second duration includes:

[0279] The second duration is determined based on the working state of the first processing unit; wherein the second duration may be the same or different for different working states.

[0280] Optionally, the method further includes:

[0281] A first correspondence is determined based on the protocol agreement and / or the instructions of the network device, wherein the first correspondence is the correspondence between the working state and the second duration.

[0282] Optionally, determining the second duration includes:

[0283] The second duration is determined based on the task type of the first AI task and / or the working state of the first processing unit; wherein

[0284] The second duration varies when the first processing unit executes different types of first AI tasks under the same working state; and / or

[0285] The second duration may be the same or different when the first AI task of the same type is executed under different working states.

[0286] Optionally, the method further includes:

[0287] A second correspondence is determined based on the protocol agreement and / or the instructions of the network device. The second correspondence is the correspondence between the working state and / or task type and the second duration.

[0288] Optionally, determining the second duration includes:

[0289] The second duration is determined based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task; wherein

[0290] The second duration varies when the first processing unit of terminals with different capabilities is in the same working state; and / or

[0291] The second duration varies when the first processing unit of different capability terminals executes the same type of first AI task.

[0292] Optionally, the method further includes:

[0293] A third correspondence is determined based on protocol agreements and / or instructions from network devices. The third correspondence is a correspondence between at least one of the following: working status, task type, and terminal capabilities, and the second duration.

[0294] Optionally, the method further includes at least one of the following:

[0295] Indicate the second duration to the network device;

[0296] Indicate the operating status of the first processing unit to the network device;

[0297] Indicate the terminal's capabilities to the network device.

[0298] Optionally, determining the first duration based on the second duration and the third duration includes:

[0299] The sum of the second duration and the third duration is determined as the first duration.

[0300] Optionally, the first AI task includes at least one execution step, and the third duration includes at least one sub-duration, the sub-duration including the execution time of the execution step;

[0301] Determining the first duration based on the second duration and the third duration includes:

[0302] Determine the first sub-duration, which is the execution time of the first execution step of the first AI task;

[0303] The first duration is determined by the sum of the larger of the first duration and the second duration, and the durations other than the first duration.

[0304] For a detailed description of steps 3101-3102, please refer to the above embodiments.

[0305] The determination method involved in the embodiments of this disclosure may include at least one of steps 3101 to 3102. For example, step 3101 may be implemented as an independent embodiment, step 3102 may be implemented as an independent embodiment, and step 3101+S3102 may be implemented as an independent embodiment, but is not limited thereto.

[0306] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0307] Figure 4 is a flowchart illustrating a determination method according to an embodiment of the present disclosure. As shown in Figure 4, the present disclosure relates to a determination method for a network device, the method comprising:

[0308] Step 4101: Send the first instruction to the terminal.

[0309] Step 4102: Determine the first duration.

[0310] Optionally, the first instruction is used to instruct the first processing unit of the terminal to perform a first artificial intelligence (AI) task.

[0311] Optionally, the first duration includes: the time length between the first moment and the second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0312] Optionally, determining the first duration includes:

[0313] A second duration is determined; the second duration includes the time length between the first moment and the third moment, wherein the third moment includes the moment when the first processing unit begins to execute the first AI task;

[0314] A third duration is determined, which includes: the length of time required for the first processing unit to execute the first AI task;

[0315] The first duration is determined based on the second duration and the third duration.

[0316] Optionally, determining the second duration includes:

[0317] Receive the working status of the first processing unit sent by the terminal;

[0318] The second duration is determined based on the working state of the first processing unit; wherein the second duration may be the same or different for different working states.

[0319] Optionally, the method further includes:

[0320] The network device autonomously determines and / or determines a first correspondence based on the protocol agreement, wherein the first correspondence is the correspondence between the working state and the second duration.

[0321] Optionally, determining the second duration includes:

[0322] Receive the working status of the first processing unit sent by the terminal;

[0323] The second duration is determined based on the task type of the first AI task and / or the working state of the first processing unit; wherein

[0324] The second duration varies when the first processing unit executes different types of first AI tasks under the same working state; and / or

[0325] The second duration may be the same or different when the first AI task of the same type is executed under different working states.

[0326] Optionally, the method further includes:

[0327] The network device autonomously determines and / or determines the second correspondence based on the protocol agreement, the second correspondence being the correspondence between the working state and / or task type and the second duration.

[0328] Optionally, determining the second duration includes:

[0329] Receive the operating status of the first processing unit and / or the capabilities of the terminal sent by the terminal;

[0330] The second duration is determined based on at least one of the terminal's capabilities, the operating state of the first processing unit, and the task type of the first AI task; wherein

[0331] The second duration varies when the first processing unit of terminals with different capabilities is in the same working state; and / or

[0332] The second duration varies when the first processing unit of different capability terminals executes the same type of first AI task.

[0333] Optionally, the method further includes:

[0334] The network device autonomously determines and / or determines a third correspondence based on protocol agreement. The third correspondence is a correspondence between at least one of the working status, task type, and terminal capabilities and the second duration.

[0335] Optionally, the method further includes:

[0336] The network device autonomously determines at least one of the first correspondence, the second correspondence, and the third correspondence, and indicates at least one of the first correspondence, the second correspondence, and the third correspondence to the terminal.

[0337] Optionally, determining the second duration includes:

[0338] The second duration indicated by the terminal is received.

[0339] Optionally, determining the first duration based on the second duration and the third duration includes:

[0340] The sum of the second duration and the third duration is determined as the first duration.

[0341] Optionally, the first AI task includes at least one execution step, and the third duration includes at least one sub-duration, the sub-duration including the execution time of the execution step;

[0342] Determining the first duration based on the second duration and the third duration includes:

[0343] Determine the first sub-duration, which is the execution time of the first execution step of the first AI task;

[0344] The first duration is determined by the sum of the larger of the first duration and the second duration, and the durations other than the first duration.

[0345] For a detailed description of steps 4101-4102, please refer to the above embodiment description.

[0346] The determination method involved in the embodiments of this disclosure may include at least one of steps 4101 to 4102. For example, step 4101 may be implemented as an independent embodiment, step 4102 may be implemented as an independent embodiment, and step 4101+S4102 may be implemented as an independent embodiment, but is not limited thereto.

[0347] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0348] Figure 5 is a flowchart illustrating a determination method according to an embodiment of the present disclosure. As shown in Figure 5, the present disclosure relates to a determination method for a communication system, which includes a terminal and a network device. The method includes at least one of the following:

[0349] Step 5101: The network device sends the first instruction to the terminal;

[0350] Step 5102: The terminal receives the first instruction sent by the network device.

[0351] Step 5103: The terminal and / or network device determine the first duration.

[0352] The optional implementation methods of steps 5101-5103 can be found in the above embodiments.

[0353] In some embodiments, the above methods may include the methods described in the embodiments of the communication system side, terminal side, network device side, etc., which will not be repeated here.

[0354] The determination method involved in the embodiments of this disclosure may include at least one of steps 5101 to 5103. For example, step 5101 may be implemented as a separate embodiment, and step 5102 may be implemented as a separate embodiment, but are not limited thereto.

[0355] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0356] The following is an exemplary description of the above method.

[0357] AI tasks are handled by dedicated processing units that are relatively independent of traditional communication processing units.

[0358] The processing unit for handling AI tasks has three states: power-off, low-battery standby, and operating. Each state corresponds to a different power consumption level. The transition between these states also has different latency. The latency from power-off to operating is greater than the latency from low-battery standby.

[0359] After a terminal completes an AI task, and there are no new AI tasks for a period of time, the terminal can shut down the AI ​​processing unit to further save power. The following methods can be considered for how the AI ​​processing unit transitions from an active state to a shutdown state.

[0360] Optional Implementation: Determining AI Task Response Latency

[0361] (1) In response to receiving an instruction to execute a first AI task on the terminal side, a first response time is determined, wherein the first response time is the time when the terminal enters the AI ​​processing working state. A response time for the first AI task is determined based on the first response time.

[0362] (2) Based on (1), the first response time is determined according to the state of the terminal. The state of the terminal includes a first state, a second state, and a third state. The first state, the second state, and the third state correspond to different states of the first processing unit on the terminal side, and the power consumption corresponding to different states is different.

[0363] a) The first, second, and third states correspond to the working state, the AI ​​processing unit standby state, and the AI ​​processing unit off state, respectively. The working state means the AI ​​processing unit is performing data processing, such as AI model inference and training. The standby state means the AI ​​processing unit is still on but not performing data processing. The off state means the AI ​​processing unit is off.

[0364] (3) Based on (2), in response to the terminal being in the first state, the response time for the first AI task is determined according to T1. In response to the terminal being in the second state, the response time for the first AI task is determined according to T2. In response to the terminal being in the third state, the response time for the first AI task is determined according to T3. At this time, T1 and T2 are smaller than T3. Further, T1 = T2.

[0365] For example, the terminal determines the response time for the first AI task based on the time T determined by the aforementioned state and the required latency for executing the AI ​​task. For instance, regarding AI-based CSI compression, when the terminal receives an AI-based CSI compression processing command, it determines the state switching time T1 / T2 / T3 based on the terminal state, then determines the signal measurement time T_measurement, and the AI ​​processing time T_processing for compressing the measured signal. Therefore, the shortest response time for CSI feedback is T1 / T2 / T3 + T_measurement + T_processing. Alternatively, it could be max(T1 / T2 / T3, T_measurement) + T_processing.

[0366] (4) Based on (1), the first response time is the same for different states of the terminal.

[0367] (5) Based on (3) or (4), the response time can be further determined according to the type of AI task being performed. For example, the T1 / T2 / T3 corresponding to performing AI model inference tasks and performing AI model training tasks are different.

[0368] (6) Based on (3)~(5), T1, T2, and T3 can be determined in the following ways.

[0369] a) Protocol predefined

[0370] b) Terminal reporting.

[0371] i. Furthermore, multiple different T1 / T2 / T3 values ​​can be defined based on the terminal capabilities, with different terminal capabilities corresponding to different T1 / T2 / T3 values.

[0372] Based on (1) to (6), the terminal or network can determine the fastest time for the terminal to report the AI ​​task response result based on the response time for the first AI task.

[0373] This disclosure proposes a method for determining latency when performing AI tasks.

[0374] This disclosure also provides 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 terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0375] 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.

[0376] 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).

[0377] Figure 6A is a schematic diagram of the structure of a terminal according to an embodiment of this disclosure. As shown in Figure 6A, it includes:

[0378] The transceiver module is used to receive a first instruction sent by the network device, wherein the first instruction is used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0379] The processing module is used to determine a first duration, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0380] Optionally, the processing module is used to execute the steps related to "processing" performed by the terminal in any of the above methods. The transceiver module is used to execute the steps related to "sending and receiving" performed by the terminal in any of the above methods.

[0381] Figure 6B is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. As shown in Figure 6B, it includes:

[0382] The transceiver module is used to send a first instruction to the terminal, wherein the first instruction is used to instruct the first processing unit of the terminal to execute a first artificial intelligence (AI) task.

[0383] The processing module is used to determine a first duration, which includes the time length between a first moment and a second moment; the first moment includes the moment when the terminal receives the first instruction, and the second moment includes the moment when the terminal reports the task result of the first AI task to the network device.

[0384] Optionally, the processing module is used to execute the steps related to "processing" performed by the network device in any of the above methods. The transceiver module is used to execute the steps related to "transmitting and receiving" performed by the network device in any of the above methods.

[0385] Figure 7A is a schematic diagram of the structure of the communication device 7100 proposed in an embodiment of this disclosure. The communication device 7100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment or the first device described above), 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 7100 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.

[0386] As shown in Figure 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 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, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. The processor 7101 is used to invoke instructions to cause the communication device 7100 to execute any of the above methods.

[0387] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may also be located outside the communication device 7100.

[0388] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the communication steps such as sending and receiving in the above method are performed by the transceivers 7103, and other steps are performed by the processor 7101.

[0389] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.

[0390] Optionally, the communication device 7100 further includes one or more interface circuits 7104 connected to the memory 7102. The interface circuits 7104 can be used to receive signals from the memory 7102 or other devices, and can be used to send signals to the memory 7102 or other devices. For example, the interface circuits 7104 can read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0391] The communication device 7100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 7100 described in this disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7a. 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 device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0392] Figure 7B is a schematic diagram of the structure of the chip 7200 according to an embodiment of this disclosure. For cases where the communication device 7100 can be a chip or a chip system, the schematic diagram of the chip 7200 shown in Figure 7B can be referenced, but is not limited thereto.

[0393] Chip 7200 includes one or more processors 7201, which are used to invoke instructions to cause chip 7200 to perform any of the above methods.

[0394] In some embodiments, chip 7200 further includes one or more interface circuits 7202 connected to memory 7203. Interface circuits 7202 can be used to receive signals from memory 7203 or other devices, and can also be used to send signals to memory 7203 or other devices. For example, interface circuit 7202 can read instructions stored in memory 7203 and send those instructions to processor 7201. Optionally, terms such as interface circuit, interface, transceiver pin, and transceiver can be used interchangeably.

[0395] In some embodiments, chip 7200 further includes one or more memories 7203 for storing instructions. Optionally, all or part of the memories 7203 may be located outside of chip 7200.

[0396] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 7100, cause the communication device 7100 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.

[0397] This disclosure also provides a program product that, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0398] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0399] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program can be transferred from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0400] 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.

[0401] 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.

[0402] The above description is merely a specific embodiment 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 determination method characterized by, The method is performed by a terminal, and the method comprises: receiving a first instruction sent by a network device, the first instruction being used to instruct a first processing unit of the terminal to perform a first artificial intelligence (AI) task; determining a first time length, the first time length comprising a time length between a first time point and a second time point, the first time point comprising a time point at which the terminal receives the first instruction, and the second time point comprising a time point at which the terminal reports a task result of the first AI task to the network device.

2. The method of claim 1, wherein, The determining of the first time length comprises: determining a second time length, the second time length comprising a time length between the first time point and a third time point, the third time point comprising a time point at which the first processing unit starts to perform the first AI task; determining a third time length, the third time length comprising a time length required by the first processing unit to perform the first AI task; determining the first time length based on the second time length and the third time length.

3. The method of claim 2, wherein, The determining of the second time length comprises: determining the second time length based on a working state in which the first processing unit is located, wherein the second time lengths corresponding to different working states are the same or different.

4. The method of claim 3, wherein, The method further comprises: determining a first correspondence relationship between the working state and the second time length based on a protocol agreement and / or an indication of the network device.

5. The method of claim 2, wherein, The determining of the second time length comprises: determining the second time length based on a task type of the first AI task and / or the working state in which the first processing unit is located, wherein the second time lengths corresponding to different types of first AI tasks performed by the first processing unit in a same working state are different; and / or the second time lengths corresponding to a same type of first AI task performed in different working states are the same or different.

6. The method of claim 5, wherein, The method further comprises: determining a second correspondence relationship between the working state and / or the task type and the second time length based on a protocol agreement and / or an indication of the network device.

7. The method of claim 2, wherein, The determining of the second time length comprises: determining the second time length based on at least one of a capability of the terminal, the working state in which the first processing unit is located, and the task type of the first AI task, wherein the second time lengths corresponding to the first processing units of different capability terminals in a same working state are different; and / or the second time lengths corresponding to the first processing units of different capability terminals performing a same type of first AI task are different.

8. The method of claim 7, wherein, The method further comprises: determining a third correspondence relationship between at least one of the working state, the task type, and the capability of the terminal and the second time length based on a protocol agreement and / or an indication of the network device.

9. The method according to any one of claims 3 to 8, wherein, The method further comprises at least one of: indicating the second time length to the network device; indicating the working state in which the first processing unit is located to the network device; indicating the capability of the terminal to the network device.

10. The method of any one of claims 2-9, wherein, The determining of the first time length based on the second time length and the third time length comprises: determining a sum of the second time length and the third time length as the first time length.

11. The method of any one of claims 2-9, wherein, The first AI task includes at least one execution step, and the third time length includes at least one sub-time length, and the sub-time length includes the execution time of the execution step; The first time length is determined based on the second time length and the third time length, including: determining a first sub-time length, the first sub-time length being the execution time of the first execution step of the first AI task; determining the first sub-time length and the larger value of the second time length and the sum of the sub-time lengths other than the first sub-time length as the first time length.

12. A determination method characterized by, The method is performed by a network device, and the method includes: sending a first instruction to a terminal, the first instruction being used to instruct a first processing unit of the terminal to execute a first artificial intelligence (AI) task; determining a first time length, the first time length including: a time length between a first time and a second time; the first time including a time when the terminal receives the first instruction, and the second time including a time when the terminal reports a task result of the first AI task to the network device.

13. The method of claim 12, wherein, The determination of the first time length includes: determining a second time length; the second time length including: a time length between the first time and a third time, and the third time including: a time when the first processing unit starts to execute the first AI task; determining a third time length, the third time length including: a time length required for the first processing unit to execute the first AI task; determining the first time length based on the second time length and the third time length.

14. The method of claim 13, wherein, The determination of the second time length includes: receiving a working state in which the first processing unit is located, which is sent by the terminal; determining the second time length based on the working state in which the first processing unit is located; wherein the second time lengths corresponding to different working states are the same or different.

15. The method of claim 14, wherein, The method further includes: the network device autonomously determining and / or determining a first correspondence relationship based on a protocol agreement, the first correspondence relationship being a correspondence relationship between the working state and the second time length.

16. The method of claim 13, wherein, The determination of the second time length includes: receiving a working state in which the first processing unit is located, which is sent by the terminal; determining the second time length based on a task type of the first AI task and / or the working state in which the first processing unit is located; wherein the second time lengths corresponding to the first processing unit executing different types of first AI tasks in the same working state are different; and / or the second time lengths corresponding to the same type of first AI task being executed in different working states are the same or different.

17. The method of claim 16, wherein, The method further includes: the network device autonomously determining and / or determining a second correspondence relationship based on a protocol agreement, the second correspondence relationship being a correspondence relationship between the working state and / or the task type and the second time length.

18. The method of claim 13, wherein, The determination of the second time length includes: receiving a working state in which the first processing unit is located and / or a capability of the terminal, which is sent by the terminal; determining the second time length based on at least one of the capability of the terminal, the working state in which the first processing unit is located, and the task type of the first AI task; wherein The second time length corresponding to the first processing unit of the terminal with different capabilities is different when the first processing unit is in the same working state; and / or The second time length corresponding to the first processing unit of the terminal with different capabilities is different when the first processing unit performs the same type of first AI task.

19. The method of claim 18, wherein, The method further comprises: The network device autonomously determines and / or determines a third correspondence based on a protocol agreement, the third correspondence being a correspondence between at least one of a working state, a task type, and a capability of a terminal and the second time length.

20. The method of any one of claims 15-19, wherein, The method further comprises: The network device autonomously determines at least one of the first correspondence, the second correspondence, and the third correspondence, and indicates at least one of the first correspondence, the second correspondence, and the third correspondence to the terminal.

21. The method of claim 13, wherein, The determination of the second time length comprises: Receiving the second time length indicated by the terminal.

22. The method of any one of claims 13-21, wherein, The determination of the first time length based on the second time length and the third time length comprises: Determining the sum of the second time length and the third time length as the first time length.

23. The method of any one of claims 13-21, wherein, The first AI task comprises at least one execution step, and the third time length comprises at least one sub-time length, and the sub-time length comprises the execution time of the execution step; The determination of the first time length based on the second time length and the third time length comprises: Determining a first sub-time length, the first sub-time length being the execution time of the first execution step of the first AI task; Determining the sum of the larger value of the first sub-time length and the second time length and the sub-time length other than the first sub-time length as the first time length.

24. A determination method for a communication system, the communication system comprising a terminal and a network device, the method comprising: The network device sends a first instruction to the terminal, the first instruction being used to instruct a first processing unit of the terminal to perform a first artificial intelligence (AI) task; The terminal receives the first instruction sent by the network device; The terminal and / or the network device determines a first time length, the first time length comprising: a time length between a first time and a second time; The first time comprises a time when the terminal receives the first instruction, and the second time comprises a time when the terminal reports a task result of the first AI task to the network device.

25. A terminal, characterized by Comprise: A transceiver module, configured to receive a first instruction sent by a network device, the first instruction being used to instruct a first processing unit of the terminal to perform a first artificial intelligence (AI) task; A processing module, configured to determine a first time length, the first time length comprising: a time length between a first time and a second time; The first time comprises a time when the terminal receives the first instruction, and the second time comprises a time when the terminal reports a task result of the first AI task to the network device.

26. A network device, comprising: Comprise: A transceiver module, configured to send a first instruction to a terminal, the first instruction being used to instruct a first processing unit of the terminal to perform a first artificial intelligence (AI) task; A processing module, configured to determine a first time length, the first time length comprising: a time length between a first time and a second time; The first time point comprises a time point at which the terminal receives the first instruction, and the second time point comprises a time point at which the terminal reports a task result of the first AI task to the network device.

27. A communications device, characterized by Comprising: one or more processors; a memory coupled to the processors, the memory having instructions stored thereon that, when executed by the processors, cause the communication device to perform the method of any of claims 1-11 or claims 12-23.

28. A communication system, characterized by comprising a terminal and a network device, wherein the terminal is configured to implement the method of any of claims 1-11, and the network device is configured to implement the method of any of claims 12-23.

29. A storage medium, the storage medium storing instructions, wherein, When the instructions run on the communication device, the communication device performs the method as claimed in any of claims 1-11 or claims 12-23.

30. A program product, characterized by comprising a computer program that, when executed by a communication device, implements the method as claimed in any of claims 1-11 or claims 12-23.

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