CPU occupancy duration determination method, and device, storage medium and program product

Abstract

The present disclosure relates to a CPU occupancy duration determination method, and a device, a system, a storage medium and a program product. The CPU occupancy duration determination method comprises: determining a first duration of first CPU occupancy and / or a second duration of second CPU occupancy, wherein a first CPU is used for executing a first processing mode, and a second CPU is used for executing a second processing mode. In the above embodiments, both a terminal and a network device determine the first duration of CPU occupancy of when processing CSI without using a model, and the second duration of CPU occupancy of when processing CSI by using a model, so that the terminal and the network device share the same understanding, thereby achieving the effect of being able to determine the used CPU occupancy duration when processing CSI by using a model, ensuring that the network device can subsequently configure, on the basis of the determined first duration and second duration, a more rational time for the terminal to send the CSI, and improving the stability of CSI measurement between the terminal and the network device.

Description

Methods, equipment, storage media, and software products for determining CPU usage time Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to a method, device, storage medium, and program product for determining the duration of a channel status information processing unit (CPU). Background Technology

[0002] When processing channel status information (CSI) between a terminal and a network device, it is necessary to ensure that the terminal and the network device have a consistent understanding of the CSI processing procedure so that the network device can configure appropriate CSI reporting parameters for the terminal. Summary of the Invention

[0003] This application solves the problem of how to determine the CPU usage time when CSI needs to be processed based on a model, and achieves the effect of being able to determine the CPU usage time when CSI is processed without using a model and when it is processed with a model.

[0004] This disclosure provides a method, device, storage medium, and program product for determining CPU usage time.

[0005] According to a first aspect of the present disclosure, a method for determining CPU usage time is provided, the method being executed by a terminal or network device, the method comprising:

[0006] Determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which is a mode that does not use the model to process CSI, and the second CPU is used to execute a second processing mode, which is a mode that uses the model to process CSI.

[0007] According to a second aspect of the present disclosure, a device for determining CPU occupancy time is provided, the device comprising:

[0008] The processing module is used to determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which is a mode of processing CSI without using the model, and the second CPU is used to execute a second processing mode, which is a mode of processing CSI using the model.

[0009] According to a third aspect of the present disclosure, a communication device is provided for performing the method for determining CPU occupancy time as described in the first aspect.

[0010] According to a fourth aspect of the present disclosure, a method for determining CPU usage time is provided for a communication system, the communication system including a terminal and a network device, the terminal and the network device being configured to implement the method for determining CPU usage time as described in the first aspect.

[0011] According to a fifth aspect of the present disclosure, a communication system is provided, including at least one of a terminal and a network device, wherein the terminal and the network device are configured to implement the method for determining CPU occupancy time as described in the first aspect.

[0012] According to a sixth 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 the method for determining CPU occupancy time as described in the first aspect.

[0013] According to a seventh aspect of the present disclosure, a program product is provided, including at least one of a program and instructions, wherein when the program and instructions are executed by a communication device, the method for determining CPU occupancy time as described in the first aspect is implemented.

[0014] In the above embodiments, both the terminal and the network device determine the first CPU time occupied when CSI is not processed using the model and the second CPU time occupied when CSI is processed using the model. This ensures that the terminal and the network device have the same understanding of the first and second CPU times, achieving the effect of determining the CPU time occupied when CSI is processed using the model. This ensures that the network device can configure a more reasonable CSI transmission time for the terminal based on the determined first and second CPU times, thereby improving the stability of CSI measurement between the terminal and the network device. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of this disclosure, the accompanying drawings required for the description of the embodiments are introduced below. The following drawings are only some embodiments of this disclosure and do not impose specific limitations on the protection scope of this disclosure.

[0016] Figure 1A is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0017] Figure 1B is a schematic diagram of model-based prediction of CSI provided according to an embodiment of the present disclosure.

[0018] Figure 1C is a schematic diagram of CSI prediction based on a bilateral model according to an embodiment of the present disclosure.

[0019] Figure 2A is an interactive schematic diagram of a method for determining CPU usage time according to an embodiment of the present disclosure.

[0020] Figures 2B to 2E are schematic diagrams illustrating the CPU usage time according to embodiments of the present disclosure.

[0021] Figure 3 is a flowchart illustrating a method for determining CPU usage time according to an embodiment of the present disclosure.

[0022] Figure 4 is a flowchart illustrating a method for determining CPU usage time according to an embodiment of the present disclosure.

[0023] Figure 5A is a schematic diagram of the structure of the terminal proposed in an embodiment of this disclosure.

[0024] Figure 5B is a schematic diagram of the structure of the network device proposed in an embodiment of this disclosure.

[0025] Figure 6A is a schematic diagram of the structure of the communication device proposed in an embodiment of this disclosure.

[0026] Figure 6B is a schematic diagram of the chip structure proposed in an embodiment of this disclosure. Detailed Implementation

[0027] This disclosure provides a method, device, system, storage medium, and program product for determining CPU usage time.

[0028] In a first aspect, embodiments of this disclosure propose a method for determining CPU usage time, the method being executed by a terminal or network device, the method comprising:

[0029] Determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which is a mode that does not use the model to process CSI, and the second CPU is used to execute a second processing mode, which is a mode that uses the model to process CSI.

[0030] In the above embodiments, both the terminal and the network device determine the first CPU time occupied when CSI is not processed using the model and the second CPU time occupied when CSI is processed using the model. This ensures that the terminal and the network device have the same understanding of the first and second CPU times, achieving the effect of determining the CPU time occupied when CSI is processed using the model. This ensures that the network device can configure a more reasonable CSI transmission time for the terminal based on the determined first and second CPU times, thereby improving the stability of CSI measurement between the terminal and the network device.

[0031] In conjunction with some embodiments of the first aspect, in some embodiments, the first duration and the second duration are located within a first time period;

[0032] The starting position of the first time period is the first symbol after the first information is triggered, where the first information refers to the information used to activate the CSI measurement resource in aperiodic CSI or semi-continuous CSI; or, the starting position of the first time period is the first symbol of the first CSI measurement resource before the CSI reference resource, where the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer.

[0033] The end time of the first time period is the last symbol of the PUCCH / PUSCH that transmits CSI.

[0034] In the above embodiments, by specifying the start and end positions of the first time period to indicate the time periods of the first duration and the second duration, it is ensured that both the terminal and the network device can determine the positions of the first duration and the second duration, thereby improving the stability of CSI transmission between the terminal and the network device, and thus improving the timing of subsequent network device configuration for more reasonable CSI transmission, and improving the stability of CSI measurement between the terminal and the network device.

[0035] In conjunction with some embodiments of the first aspect, in some embodiments, the first duration includes a first sub-duration for channel measurement and a second sub-duration for CSI measurement; the second duration is a third sub-duration for model-based inference CSI.

[0036] In conjunction with some embodiments of the first aspect, in some embodiments, the first duration includes a second sub-duration for CSI measurement, the second duration including a first sub-duration for channel measurement and a third sub-duration for model-based inference CSI.

[0037] In conjunction with some embodiments of the first aspect, in some embodiments, the first duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI;

[0038] The second duration includes a third sub-duration for model-based inference CSI, or the second duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI.

[0039] In the above embodiments, different settings for the first duration and the second duration are provided, or it can be said that different types of first duration and second duration are provided, so that different CSI processing flows can be processed by the first processing method or the second processing method, thereby improving the flexibility in determining the first duration and the second duration.

[0040] In conjunction with some embodiments of the first aspect, in some embodiments, the starting position of the first sub-duration is the first symbol after the first information is triggered, or the starting position of the first sub-duration is the first symbol of the earliest CSI measurement resource among a plurality of CSI measurement resources preceding the CSI reference resource.

[0041] The end time of the first sub-duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal; or, the end time of the first sub-duration is the first symbol preceding or following the CSI reference resource; or, the end time of the first sub-duration is the last symbol of the time domain unit where the CSI reference resource is located; or, the end time of the first sub-duration is the time elapsed after the start position of the first sub-duration by a first offset value.

[0042] In conjunction with some embodiments of the first aspect, in some embodiments, the start time of the third sub-duration is the end time of the first duration, or, the start time of the third sub-duration is the time after the first symbol following the first information trigger has passed through the third duration, and the third duration is the duration of the activated model; or, the start time of the third sub-duration is the time after the last symbol of the CSI measurement resource has passed through the second offset value.

[0043] The end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third duration, or the end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third duration and the fourth duration, where the fourth duration is the duration of the model inference CSI.

[0044] In conjunction with some embodiments of the first aspect, in some embodiments, the start time of the second sub-duration is the end time of the second sub-duration, and the end time of the second sub-duration is the last symbol after the second information is sent.

[0045] In the above embodiments, different methods for determining the start and end positions of the first, second, and third sub-durations are provided. This ensures the comprehensiveness of determining the start and end positions of the first, second, and third sub-durations and guarantees that the terminal and network device have the same understanding of the start and end positions of the first, second, and third sub-durations. This improves the stability of CSI transmission between the terminal and network device, thereby increasing the time for subsequent network device configuration of more reasonable CSI transmission and improving the stability of CSI measurement between the terminal and network device.

[0046] In conjunction with some embodiments of the first aspect, in some embodiments, the starting position of the first duration is the first symbol after the first information is triggered, or the starting position of the first duration is the first symbol of the first CSI measurement resource before the CSI reference resource, wherein the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer;

[0047] The end time of the first duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal; or, the end time of the first duration is the first symbol preceding or following the CSI reference resource; or, the end time of the first duration is the last symbol of the time domain unit where the CSI reference resource is located; or, the end time of the first duration is the time elapsed after the start position of the first duration by a first offset value.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, the starting position of the second duration is the ending time of the first duration, or, the starting time of the second duration is the time after the first symbol following the first information trigger has passed through the third duration, or, the starting time of the second duration is the time after the last symbol of the second CSI measurement resource preceding the CSI reference resource has passed through the second offset value, wherein the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal;

[0049] The end time of the second duration is the last symbol of the PUCCH / PUSCH that transmits CSI.

[0050] In the above embodiments, the start and end positions of the first and second durations can be directly determined, ensuring the comprehensiveness of the determination of the start and end positions of the first and second durations. It also ensures that the terminal and network device have the same understanding of the determination of the start and end positions of the first and second durations, improving the stability of CSI transmission between the terminal and network device, thereby improving the timing of subsequent network device configuration for more reasonable CSI transmission and improving the stability of CSI measurement between the terminal and network device.

[0051] Secondly, embodiments of this disclosure provide a device for determining CPU occupancy time, the device comprising:

[0052] The processing module is used to determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which is a mode of processing CSI without using the model, and the second CPU is used to execute a second processing mode, which is a mode of processing CSI using the model.

[0053] Thirdly, embodiments of this disclosure provide a communication device for performing the method for determining CPU occupancy time as described in the first aspect.

[0054] Fourthly, a communication system is proposed, including at least one of a terminal and a network device, wherein the terminal and the network device are configured to implement the method for determining CPU occupancy time as described in the first aspect.

[0055] Fifthly, embodiments of this disclosure provide a method for determining CPU usage time for a communication system, the communication system including a terminal and a network device, the terminal and the network device being configured to implement the method for determining CPU usage time as described in the first aspect.

[0056] In a sixth aspect, a storage medium is proposed, the storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method for determining CPU occupancy time as described in the first aspect.

[0057] In a seventh aspect, a program product is proposed, comprising at least one of a program and instructions, wherein when the program or instructions are executed by a communication device, the method for determining CPU occupancy time as described in the first aspect is implemented.

[0058] It is understood that the aforementioned communication equipment, communication system, storage medium, program product, etc., 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.

[0059] This disclosure provides methods, devices, systems, storage media, and program products for determining CPU usage time. In some embodiments, the terms "method for determining CPU usage time" can be used interchangeably with terms such as "frequency domain method," "communication method," "determination method," and "processing method."

[0060] 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. In all embodiments of this disclosure, unless otherwise specified or logically conflicting, the terminology and / or descriptions between the embodiments are consistent and can be mutually referenced. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0061] 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.

[0062] 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.

[0063] In the embodiments disclosed herein, "multiple" refers to two or more.

[0064] In some embodiments, the terms “at least one of A or B, at least one of A and B”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0065] In some embodiments, the notation "at least one of A and B", "A and / or B", "A in one case, B in another", "in response to one case A, in response to another case B", etc., may include the following technical solutions depending on the situation: in some embodiments, A (execute A regardless of whether there is a branch B); in some embodiments, B (execute B regardless of whether there is a branch A); in some embodiments, execution is selected from A and B (A and B are selectively executed); in some embodiments, both A and B are executed. The same applies when there are more branches such as A, B, C, etc.

[0066] In some embodiments, the notation "A or B" may include the following technical solutions, depending on the situation: in some embodiments, A (execute A regardless of whether a branch B exists); in some embodiments, B (execute B regardless of whether a branch A exists); in some embodiments, execution is selected from A and B (A and B are selectively executed). The same applies when there are more branches such as A, B, and C.

[0067] 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.

[0068] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0069] In some embodiments, terms such as "time / frequency" and "time-frequency domain" refer to the time domain and / or frequency domain.

[0070] In some embodiments, terms such as “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “when…”, “if…”, etc. can be used interchangeably. These descriptions all refer to the device making a corresponding action under certain objective circumstances. They do not necessarily limit the time, nor do they require the device to make a judgment action when implementing it, nor do they mean that there must be other limitations.

[0071] 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”.

[0072] In some embodiments, devices, etc., may be interpreted as physical or virtual, and their names are not limited to those described in the embodiments. Terms such as “device,” “equipment,” “circuit,” “network element,” “network function,” “network device,” “function,” “node,” “unit,” “section,” “system,” “network,” “chip,” “chip system,” “entity,” and “subject” are interchangeable.

[0073] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0074] 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," "serving cell," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0075] 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.

[0076] 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 where communication between access network devices, core network devices, or network devices and terminals is replaced by communication between multiple terminals (e.g., 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, and uplink link, downlink, etc., can be replaced with sidelink link.

[0077] 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.

[0078] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0079] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0080] 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.

[0081] Figure 1A is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure.

[0082] As shown in Figure 1A, the communication system 100 includes a terminal 101 and a network device 102.

[0083] In some embodiments, terminal 101 includes, for example, at least one of the following: mobile phone, wearable device, Internet of Things device, car with communication function, smart car, tablet computer, computer with wireless transceiver function, virtual reality (VR) terminal 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, but is not limited thereto.

[0084] In some embodiments, the access network device 102 may be a node or device that connects a terminal to a wireless network. The access network device may include at least one of the following in a 5G communication system: an evolved Node B (eNB), a next-generation eNB (ng-eNB), a next-generation Node B (gNB), a node B (NB), a home node B (HNB), a home evolved node B (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open RAN, a cloud RAN, a base station in other communication systems, and an access node in a Wi-Fi system, but is not limited thereto.

[0085] 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.

[0086] 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.

[0087] In some embodiments, a core network device may be a single device comprising one or more network elements, or it may be multiple devices or a group of devices, each comprising all or part of the aforementioned one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of the evolved packet core (EPC), 5G core network (5GCN), and next-generation core (NGC).

[0088] 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.

[0089] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1A, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1A are illustrative. The communication system may include all or some of the main bodies in FIG1A, or it may include other main bodies outside of FIG1A. The number and form of each main body are arbitrary. Each main body may be physical or virtual. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0090] 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 communication methods, and next-generation systems built upon them. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0091] In some embodiments, during CSI reporting, CSI calculation may be obtained directly through model inference. CSI calculation may also include both traditional non-artificial intelligence (non-AI) algorithms and artificial intelligence (AI) model inference. Alternatively, CSI calculation may involve multiple AI model inferences. For example, in traditional CSI feedback reporting, CSI calculation includes at least CSI prediction and CSI measurement. CSI prediction refers to the terminal first configuring channel measurement resources according to the network equipment, then obtaining downlink channel information within the measurement window based on the received channel status information-reference signal (CSI-RS), then calculating the channel information for the next N4 time points in a prediction window using the traditional linear minimum mean square error (LMMSE) algorithm, and finally, the terminal measuring the CSI within the prediction window (CSI may include precoding matrix indication (PMI), channel quality indication (CQI), rank indication (RI), etc.) based on the predicted channel information for the N4 time points and reporting it to the network equipment. For example, as shown in Figure 1B, the terminal measures 4 CSIs within a measurement window (1 time slot) and then predicts 4 CSIs within a prediction window (1 time slot).

[0092] In this process, the traditional algorithm for predicting channel information at N4 future time points can be replaced by an AI model based on CSI prediction to further improve the accuracy of the predicted channel information, while CSI measurement still uses the traditional non-AI algorithm. Similarly, CSI measurement can also be replaced by an AI model with a traditional non-AI algorithm. As can be seen from the above, a single CSI report may contain one or more AI models.

[0093] For example, a traditional algorithm for predicting channel information at N4 future time points can be replaced by an AI model based on CSI prediction to further improve the accuracy of the predicted channel information, while the CSI measurement still uses a traditional non-AI algorithm. Similarly, CSI measurement can also be replaced by an AI model with a traditional non-AI algorithm. For example, as shown in Figure 1C, the CSI at each time point within the prediction window is input into the CSI generation part of a CSI-compressed bilateral AI model, and then the CSI recovery part is used on the gNB side to recover a CSI that approximates the original.

[0094] Figure 2A is an interactive schematic diagram illustrating a method for determining CPU usage time according to an embodiment of the present disclosure. As shown in Figure 2A, the embodiments of the present disclosure relate to a method for determining CPU usage time, the method including:

[0095] Step S2101: The network device sends CSI configuration to the terminal.

[0096] In some embodiments, the terminal receives CSI configuration sent by the network device. It should be noted that the network device may also not specify the recipient of the CSI configuration; for example, the network device sends the CSI configuration, and the terminal receives it.

[0097] In some embodiments, the CSI configuration is used to configure channel measurement resources for CSI measurements. For example, the channel measurement resources include at least one of the following: resources for transmitting CSI-RS, resources for transmitting channel status information interference measurement (CSI-IM), or resources for transmitting synchronization signal blocks (SSBs). Optionally, the channel measurement resources can be periodic measurement resources, non-periodic measurement resources, or semi-persistent measurement resources; this disclosure does not limit the specific type of resource.

[0098] In some embodiments, the CSI configuration further includes parameter types for CSI reporting. Optionally, these parameter types include CQI, PMI, CRI, etc.

[0099] In some embodiments, the CSI configuration also includes the type of CSI reporting. Optionally, the type of CSI reporting includes periodic CSI, semi-persistent CSI, and aperiodic CSI.

[0100] In this embodiment of the disclosure, after receiving the CSI configuration, the terminal can determine the resources used for CSI measurement, the parameter type for CSI reporting, and the type of CSI reporting.

[0101] In some embodiments, terms such as “send,” “transmit,” “report,” “distribute,” “transfer,” “bidirectional transmission,” “send and / or receive” can be used interchangeably.

[0102] In step S2102, the terminal and the network device determine the first duration occupied by the first CPU and / or the second duration occupied by the second CPU.

[0103] In some embodiments, the first CPU is used to execute a first processing mode, which refers to processing CSI without using a model. Alternatively, the first duration can be understood as the CPU time occupied when processing CSI without using a model. It should be noted that the embodiments disclosed herein are described using the first CPU executing the first processing mode as an example. In another embodiment, the first CPU also supports executing a second processing mode. Alternatively, it can be understood that the first CPU supports not only executing the first processing mode but also executing the second processing mode.

[0104] In some embodiments, the second CPU is used to execute a second processing method, which refers to processing CSI using a model. Alternatively, the second duration can be understood as the CPU time occupied when processing CSI using a model. It should be noted that this disclosure describes the second CPU executing the second processing method as an example. In another embodiment, the second CPU also supports executing a first processing method. Alternatively, it can be understood that the second CPU supports not only executing the second processing method but also executing the first processing method.

[0105] In this embodiment of the disclosure, different CPUs may occupy different durations when executing the first processing method or the second processing method. The first duration occupied by the first CPU and the second duration occupied by the second CPU can be determined based on different methods. The different situations are described below.

[0106] In some embodiments, the first duration and the second duration are located within a first time period, and there are different ways to determine the start and end positions for the first time period.

[0107] Optionally, the first time period begins at the first symbol after the first information is triggered, and ends at the last symbol of the physical uplink control channel (PUCCH) / physical uplink shared channel (PUSCH) for transmitting CSI. The first information refers to the information used to activate CSI measurement resources in aperiodic CSI or semi-persistent CSI. Optionally, this first information is the physical downlink control channel (PDCCH). Alternatively, it can be the downlink control information (DCI) or MAC CE of the PDCCH; this embodiment does not limit the specific implementation.

[0108] Optionally, the first time period begins at the first symbol of the first CSI measurement resource preceding the CSI reference resource, and ends at the last symbol of the PUCCH / PUSCH transmitting the CSI. Here, the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the most recent K transmitted measurement reference signals, where K is a positive integer. Optionally, "preceding the CSI reference resource" can also be understood as "no later than the CSI reference resource," and this disclosure does not limit this interpretation.

[0109] Optionally, the CSI reference resource is used to determine the CSI measurement resource. It should be noted that the measurement reference signal includes at least one of CSI-RS, CSI-IM, or SSB. Further, the CSI measurement resource associated with the measurement reference signal may also include CSI measurement resources associated with at least one of CSI-RS, CSI-IM, or SSB. Correspondingly, the measurement reference signal transmitted K times most recently before the CSI reference resource includes at least one of the following: the K most recently transmitted CSI-RS, the K most recently transmitted CSI-IM, and the K most recently transmitted SSB. It should be noted that K in the above embodiments can be the same or different. Alternatively, it can be understood that the K times corresponding to CSI-RS, CSI-IM, and SSB can be the same or different. For example, the CSI-RS transmitted 2 times most recently, the CSI-IM transmitted 1 time most recently, and the SSB transmitted 3 times most recently. Another example is the CSI-RS transmitted 2 times most recently, the CSI-IM transmitted 2 times most recently, and the SSB transmitted 2 times most recently.

[0110] Optionally, in this embodiment of the disclosure, the value of K is indicated by the terminal to the network device. For example, the terminal sends capability indication information to the network device, which is used to indicate the value of K.

[0111] It should be noted that the first CSI measurement resource in the above embodiments can be a non-periodic CSI measurement resource, a periodic CSI measurement resource, or a semi-continuous CSI measurement resource. This disclosure does not limit this.

[0112] It should be noted that the above embodiments describe the location of the first duration and the second duration in the form of time periods. In another embodiment, the first duration and the second duration include different types of durations, which will be described below in the form of sub-durations.

[0113] In some embodiments, the first duration includes a first sub-duration for channel measurement and a second sub-duration for CSI measurement; the second duration is a third sub-duration for model-based inference CSI.

[0114] It should be noted that the embodiments disclosed herein can be understood to include three types of sub-durations. The three types of sub-durations include a first sub-duration, a second sub-duration, and a third sub-duration.

[0115] The first sub-duration refers to the sub-duration used for channel measurement, or it can be understood as the duration occupied by channel measurement based on CSI measurement resources.

[0116] The second sub-duration refers to the sub-duration used for CSI measurement, or it can be understood as the duration required to measure CSI using downlink channel information from future time points. Specifically, the downlink channel information from future time points is obtained through channel measurement using CSI measurement resources, and then predicted based on this obtained downlink channel information.

[0117] The third sub-duration refers to the third sub-duration of CSI based on model inference, or it can be understood as the duration required to predict the downlink channel information obtained by channel measurement based on CSI measurement resources based on the model, and then obtain the downlink channel information at future time.

[0118] In this embodiment of the disclosure, since the first duration includes a first sub-duration and a second sub-duration, it can be understood that both channel measurement and CSI measurement are performed using the first processing method for CSI processing, or it can also be said that both channel measurement and CSI measurement are processed using the first CPU. The second duration includes a third sub-duration, therefore it can be understood that model-based CSI inference is performed using the second processing method for CSI processing, or it can also be said that model-based CSI inference is processed using the second CPU.

[0119] It should be noted that the first, second, and third sub-durations mentioned above each have a start position and an end position. The start and end positions of the different sub-durations will be explained below.

[0120] First, let's explain the duration of the first sub-duration.

[0121] Optionally, the first sub-duration starts at the first symbol after the first information is triggered. The first sub-duration ends at the last symbol of the second CSI measurement resource preceding the CSI reference resource, which refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal.

[0122] Optionally, the first sub-duration begins at the first symbol after the first information is triggered. The first sub-duration ends at the first symbol before or after the CSI reference resource.

[0123] Optionally, the starting position of the first sub-duration is the first symbol after the first information is triggered. The ending time of the first sub-duration is the last symbol of the time domain unit where the CSI reference resource is located. Optionally, the time domain unit is a time slot, a subframe, or a time unit of other granularity, which is not limited in this embodiment.

[0124] Optionally, the starting position of the first sub-duration is the first symbol after the first information is triggered. The ending time of the first sub-duration is the time elapsed after the starting position of the first sub-duration by a first offset value. Optionally, the first offset value refers to the processing time of the model input information. For example, the first offset value can be predefined or indicated by the terminal to the network device. For example, the terminal sends capability indication information to the network device, which is used to indicate the first offset value. Alternatively, it can be configured by the network device to the terminal; this embodiment of the present disclosure does not limit this.

[0125] Optionally, the first sub-duration starts at the first symbol of the earliest CSI measurement resource among multiple CSI measurement resources preceding the CSI reference resource, and ends at the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource is the latest CSI measurement resource associated with the most recently transmitted measurement reference signal.

[0126] Optionally, the starting position of the first sub-duration is the first symbol of the earliest CSI measurement resource among multiple CSI measurement resources preceding the CSI reference resource, and the ending time of the first sub-duration is the first symbol preceding or following the CSI reference resource.

[0127] Optionally, the starting position of the first sub-duration is the first symbol of the earliest CSI measurement resource among multiple CSI measurement resources preceding the CSI reference resource, and the ending time of the first sub-duration is the last symbol of the time domain unit where the CSI reference resource is located.

[0128] Optionally, the starting position of the first sub-duration is the first symbol of the earliest CSI measurement resource among multiple CSI measurement resources preceding the CSI reference resource, and the ending time of the first sub-duration is the time after the starting position of the first sub-duration has passed the first offset value.

[0129] Secondly, the duration of the third sub-sub ...

[0130] Optionally, the start time of the third sub-duration is the end time of the first sub-duration, and the end time of the third sub-duration is the time after the start time of the third sub-duration elapses through the third sub-duration.

[0131] Optionally, the start time of the third sub-duration is the moment when the last symbol of the CSI measurement resource passes the second offset value, and the end time of the third sub-duration is the moment after the start time of the third sub-duration. This third duration is used to indicate the duration required to activate the model.

[0132] Optionally, the start time of the third sub-duration is the end time of the first duration, and the end time of the third sub-duration is the time elapsed after the start time of the third sub-duration and the fourth duration, where the fourth duration is the duration of the model inference CSI. It should be noted that the third and fourth durations are defined in a predefined manner or indicated by the terminal to the network device. For example, the terminal sends capability indication information to the network device, which includes the third and fourth durations. Alternatively, the third and fourth durations are configured to the terminal by the network device.

[0133] Optionally, the start time of the third sub-duration is the time after the first symbol following the first information trigger has passed through the third duration, the third duration is the duration of activating the model, the end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third and fourth durations, and the fourth duration is the duration of model inference CSI.

[0134] Optionally, the start time of the third sub-duration is the time when the last symbol of the CSI measurement resource passes the second offset value, and the end time of the third sub-duration is the time after the start time of the third sub-duration passes through the third and fourth durations, where the fourth duration is the duration of model inference CSI.

[0135] Finally, the duration of the second sub-sub ...

[0136] Optionally, the start time of the second sub-duration is the end time of the second sub-duration, and the end time of the second sub-duration is the last symbol after the second information is sent.

[0137] It should be noted that the first sub-duration, second sub-duration, and third sub-duration in this embodiment are all indicated by the number of symbols occupied. These symbols can be OFDM symbols.

[0138] The first and second durations are explained below using diagrams.

[0139] Referring to Figure 2B, CSI is transmitted aperiodically. If the first information is PDCCH, the starting position of the first sub-duration can be the first symbol after the PDCCH is triggered. After T1 (first sub-duration), the ending position of the first sub-duration is reached, and then the starting position of the third sub-duration is started. After T2 (third sub-duration), the ending position of the third sub-duration is reached, and then the starting position of the second sub-duration is started. After T3 (second sub-duration), the ending position of the second sub-duration is reached.

[0140] Referring to Figure 2C, CSI is transmitted periodically or semi-continuously. The starting position of the first sub-duration can be the first symbol of the first CSI measurement resource (CSI measurement resource associated with CSI-RS) in the above embodiment. After T1 (first sub-duration), the ending position of the first sub-duration is reached, and then the starting position of the third sub-duration is started. After T2 (third sub-duration), the ending position of the third sub-duration is reached, and then the starting position of the second sub-duration is started. After T3 (second sub-duration), the ending position of the second sub-duration is reached.

[0141] In some embodiments, the first duration includes a second sub-duration for CSI measurements, and the second duration includes a first sub-duration for channel measurements and a third sub-duration for model-based inference CSI.

[0142] In this embodiment of the disclosure, the first duration includes a second sub-duration for CSI measurement, which can be understood as CSI measurement being performed using a first processing method, or CSI measurement being performed using a first CPU. The second duration includes the first sub-duration and the third sub-duration, and therefore can be understood as channel measurement and model-based CSI inference being performed using a second processing method, or channel measurement and model-based CSI inference being performed using a second CPU.

[0143] The first, second, and third sub-durations in this embodiment are similar to those in the above embodiments and will not be repeated here. Furthermore, the methods for determining the start and end positions of the first, second, and third sub-durations are also similar to those in the above embodiments and will not be repeated here.

[0144] In some embodiments, the first duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI.

[0145] The second duration includes a third sub-duration for model-based inference CSI, or the second duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI.

[0146] The first, second, and third sub-durations in this embodiment are similar to those in the above embodiments and will not be repeated here. Furthermore, the methods for determining the start and end positions of the first, second, and third sub-durations are also similar to those in the above embodiments and will not be repeated here.

[0147] It should be noted that, in the embodiments of this disclosure, there are cases where both the first duration and the second duration include a first sub-duration, a second sub-duration, and a third sub-duration. In this case, it can be understood that the CPU time occupied by CSI without using the model is the same as the CPU time occupied by CSI with the model. Alternatively, if the first duration includes the first sub-duration, the second sub-duration, and the third sub-duration, and the second duration includes the third sub-duration, it can be understood that there is a partial overlap between the CPU time occupied by CSI without using the model and the CPU time occupied by CSI with the model.

[0148] In this embodiment of the disclosure, if the first duration includes a first sub-duration, a second sub-duration, and a third sub-duration, it means that the duration occupied by the first CPU is the duration throughout the entire CSI processing, or it can also be said that the duration occupied by the first CPU is all the durations included in the aforementioned first time period. If the second duration includes a third sub-duration, it means that the duration occupied by the second CPU is only the third sub-duration during the aforementioned model-based inference. And if the second duration includes the first sub-duration, the second sub-duration, and the third sub-duration, it means that the duration occupied by the second CPU is the duration throughout the entire CSI processing, or it can also be said that the duration occupied by the second CPU is all the durations included in the aforementioned first time period.

[0149] In some embodiments, channel measurement may be performed using only the first processing method, while subsequent CSI processing is performed using the second processing method. Alternatively, it can be understood that channel measurement is performed using a first CPU, and subsequent CSI processing is performed using a second CPU. Optionally, the scenario shown in FIG1C above is used in the embodiments of this disclosure.

[0150] Optionally, the first duration starts at the first symbol after the first information is triggered, and ends at the last symbol of the second CSI measurement resource preceding the CSI reference resource. The second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal.

[0151] Optionally, the first duration begins at the first symbol after the first information is triggered, and ends at the first symbol before or after the CSI reference resource.

[0152] Optionally, the starting position of the first duration is the first symbol after the first information is triggered, and the ending time of the first duration is the last symbol of the time domain unit where the CSI reference resource is located.

[0153] Optionally, the starting position of the first duration is the first symbol after the first information is triggered, and the ending time of the first duration is the time after the starting position of the first duration has passed the first offset value.

[0154] Optionally, the starting position of the first duration is the first symbol of the first CSI measurement resource preceding the CSI reference resource, where the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signals, and K is a positive integer. The ending time of the first duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signals.

[0155] Optionally, the starting position of the first duration is the first symbol of the first CSI measurement resource preceding the CSI reference resource. The first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer. The end time of the first duration is the first symbol preceding or following the CSI reference resource.

[0156] Optionally, the starting position of the first duration is the first symbol of the first CSI measurement resource preceding the CSI reference resource. The first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer. The ending time of the first duration is the last symbol of the time domain unit where the CSI reference resource is located.

[0157] Optionally, the starting position of the first duration is the first symbol of the first CSI measurement resource preceding the CSI reference resource. The first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer. The ending time of the first duration is the time after the starting position of the first duration has passed the first offset value.

[0158] Optionally, the start position of the second duration is the end time of the first duration, and the end time of the second duration is the last symbol of the PUCCH / PUSCH that transmits CSI.

[0159] Optionally, the start time of the second duration is the time after the third duration has elapsed since the first symbol after the first information is triggered, and the end time of the second duration is the last symbol of the PUCCH / PUSCH that transmits CSI.

[0160] Optionally, the start time of the second duration is the time when the last symbol of the second CSI measurement resource preceding the CSI reference resource passes the second offset value. The second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal. The end time of the second duration is the last symbol of the PUCCH / PUSCH that transmits the CSI.

[0161] It should be noted that the second duration in this embodiment can also be a duration that starts at the beginning of the first duration and ends at the second duration. In this case, it can also be understood that the second duration includes the first duration, or that the duration occupied by the second CPU used to process CSI using the model includes not only the first duration in the above embodiments, but also the second duration in the above embodiments.

[0162] Referring to Figure 2D, CSI is transmitted aperiodically. If the first information is PDCCH, the starting position of the first duration can be the first symbol after the PDCCH is triggered. After T1 (first duration), it reaches the end position of the first duration, and then the starting position of the second duration begins. After T2 (second sub-duration), it reaches the end position of the second duration.

[0163] Referring to Figure 2E, CSI is transmitted periodically or semi-continuously. The starting position of the first duration can be the first symbol of the first CSI measurement resource (CSI measurement resource associated with CSI-RS) in the above embodiment. After T1 (first duration), it reaches the end position of the first duration, and then the starting position of the second duration begins. After T2 (second duration), it reaches the end position of the second duration.

[0164] The following examples illustrate the different methods for determining the duration mentioned above.

[0165] For example, let's illustrate this with CSI reporting being aperiodic. Assume the network device is configured with four aperiodic channel measurement resources to measure channel information at historical times. The terminal predicts channel information for four future times within a prediction window based on the channel information from the four historical times within the measurement window. Then, it calculates the CSI using a first processing method and reports it to the network device. This reporting method is aperiodic reporting triggered by DCI.

[0166] In some embodiments, if the channel information at each moment of the above-mentioned measurement window adopts the traditional MMSE algorithm, and this algorithm occupies the first CPU, then the first OFDM symbol after the time slot where the PDCCH is triggered can be defined as the start time. Then, the first symbol before or after the time slot where the CSI reference resource is located can be used to determine the first sub-duration, which is the number of OFDM symbols occupied by the first CPU. The first symbol after the end of the first sub-duration is used as the start time of the second sub-duration. Assuming that the processing time for obtaining the AI ​​model input information is ΔT symbols, the time occupied by the second CPU can be determined from the first symbol after the end of the first sub-duration to the time after an offset of ΔT symbols. Finally, the time occupied by the second CPU is determined from the first symbol after the symbol corresponding to the end time of the second CPU's occupation to the last symbol in the time when the PUSCH where the CSI is sent.

[0167] Optionally, if the channel information estimation for each moment of the measurement window is also processed by the second CPU, then the time occupied by the second CPU is the time from the first symbol after the PDCCH triggering time to the symbol corresponding to the end time of the aforementioned second sub-duration. In this case, the time occupied by the first CPU is only the time range of the aforementioned second sub-duration.

[0168] Optionally, if the CSI prediction AI model has not been loaded into the AI ​​model processor before the PDCCH is triggered, then the time of the second sub-duration mentioned above is increased by ΔZ, where ΔZ is the model activation time (i.e., the time occupied by the model being loaded from memory into the AI ​​model processor). That is, the statistical time of the second CPU includes not only the time occupied by AI model inference mentioned above, but also the time for the AI ​​model to be loaded from memory into the processor.

[0169] Optionally, the time occupied by the first CPU follows the traditional calculation method, that is, from the first symbol after the PDCCH is triggered to the last symbol of the PUSCH that reports the CSI.

[0170] For example, let's illustrate this with periodic CSI reporting. Assume the network device is configured with one period of channel measurement resources to measure channel information at historical times. The terminal predicts the channel information for four future times within the prediction window based on the channel information of four historical times (Kp = 4) within the measurement window. Then, it calculates the CSI using a traditional algorithm, such as one based on the Rel-18 Type II Doppler codebook, and reports it to the network device. The reporting method is periodic.

[0171] Assuming the terminal still estimates downlink channel information using the MMSE algorithm and is using the first CPU, the start time of the first sub-segment is defined as the first symbol in the Kp-th cycle or non-continuous CSI-RS transmission that is no later than the CSI reference resource and is closest to the CSI reference resource. The end time of the first sub-segment is the first symbol before the time slot containing the CSI reference resource. The first symbol after the end of the first sub-segment is taken as the start time of the second sub-segment. Assuming the processing time for acquiring AI model input information is ΔT symbols, the time occupied by the second CPU can be determined from the first symbol after the end of the first sub-segment to the time after an offset of ΔT symbols. Finally, the time is defined as the last symbol from the first symbol after the end time of the second CPU to the time when the PUSCH containing the CSI is sent.

[0172] For example, using the structure shown in Figure 1C above, multiple AI models are used to process CSI and CSI is reported aperiodically. The assumptions are the same as in the previous embodiment, except that the terminal compresses the predicted channel information based on the channel information within the prediction window using the CSI compression part of a bilateral AI model, and then reports it aperiodically.

[0173] Optionally, the start time of the first duration is still defined as the first symbol after the PDCCH is triggered, and then the end time is the first symbol before the location of the CSI reference resource. The terminal completes channel estimation within the time limit for inputting the AI ​​model used for CSI prediction. If the first CPU is used within the first duration, the time occupied by the first CPU is the first duration. Then, the number of symbols occupied by the second CPU is taken from the first symbol after the first duration to the last symbol of the PUSCH reporting CSI.

[0174] Optionally, if neither the CSI prediction nor the CSI compression AI model has been loaded into the AI ​​model, the number of symbols occupied by the second CPU is calculated by adding ΔZ to the above, where ΔZ represents the time taken to activate the two AI models.

[0175] Optionally, for semi-continuous CSI reporting, the time occupied by the second CPU and the first CPU is calculated in a similar manner, except that the starting time of the first duration is defined differently, which will not be elaborated here.

[0176] In some embodiments, terms such as "certain," "preset," "default," "set," "indicated," "a certain," "any," and "first" can be used interchangeably. "Certain A," "preset A," "default A," "set A," "indicated A," "a certain A," "any A," and "first A" can be interpreted as A pre-defined in a protocol or the like, or as A obtained through setting, configuration, or instruction, or as specific A, a certain A, any A, or first A, but are not limited thereto.

[0177] In some embodiments, the names of information, etc., are not limited to the names described in the embodiments. Terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", "field", "symbol", "symbol", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0178] In some embodiments, "acquire," "get," "obtain," "receive," "transmit," "bidirectional transmission," and "send and / or receive" can be used interchangeably and can be interpreted as receiving from other entities, acquiring from protocols, acquiring from higher layers, obtaining through self-processing, or autonomous implementation. Protocols include, for example, at least one of the 3GPP protocol, Wi-Fi protocol, and audio and / or video protocols.

[0179] In some embodiments, the terminal may also send indication information to the network device to indicate at least one of the first parameter, second parameter, or third parameter used.

[0180] In some embodiments, the network device may send indication information to the terminal to indicate at least one of the first parameter, second parameter, or third parameter used.

[0181] In some embodiments, the terms "uplink", "uplink", and "physical uplink" can be used interchangeably, as can the terms "downlink", "downlink", and "physical downlink", as well as the terms "sidelink", "sidelink", "sidelink communication", "sidelink communication", "direct connection", "direct link", "direct communication", and "direct link communication".

[0182] In some embodiments, the terms “downlink control information (DCI),” “downlink (DL) assignment,” “DL DCI,” “uplink (UL) grant,” and “UL DCI” can be used interchangeably.

[0183] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, as can terms such as "physical uplink shared channel (PUSCH)" and "UL data".

[0184] In some embodiments, the terms “radio”, “wireless”, “radio access network (RAN)”, “access network (AN)”, and “RAN-based” can be used interchangeably.

[0185] In some embodiments, terms such as “moment,” “point in time,” “time,” and “time location” can be used interchangeably, as can terms such as “duration,” “segment,” “time window,” “window,” and “time.”

[0186] In some embodiments, the terms "component carrier (CC)," "cell," "frequency carrier," and "carrier frequency" can be used interchangeably.

[0187] In some embodiments, the terms “resource block (RB)”, “physical resource block (PRB)”, “sub-carrier group (SCG)”, “resource element group (REG)”, “PRB pair”, “RB pair”, “resource element (RE)”, and “sub-carrier” can be used interchangeably.

[0188] In some embodiments, terms such as wireless access scheme and waveform can be used interchangeably.

[0189] In some embodiments, the terms "precoding", "precoder", "weight", "precoding weight", "quasi-co-location (QCL)", "transmission configuration indication (TCI) status", "spatial relation", "spatial domain filter", "transmission power", "phase rotation", "antenna port", "antenna port group", "layer", "the number of layers", "rank", "resource", "resource set", "resource group", "beam", "beam width", "beam angular degree", "antenna", "antenna element", and "panel" can be used interchangeably.

[0190] In some embodiments, the terms “frame”, “radio frame”, “subframe”, “slot”, “sub-slot”, “mini-slot”, “symbol”, “symbol”, and “transmission time interval (TTI)” can be used interchangeably.

[0191] In some embodiments, the determination or judgment can be made by a value represented by 1 bit (0 or 1), or by a true or false value (boolean), or by a comparison of numerical values ​​(e.g., a comparison with a predetermined value), but is not limited thereto.

[0192] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data and / or instructions received; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the receiver to respond to the sent content.

[0193] In some embodiments, if an arrow in the interaction diagram representing the sending of information, signaling, etc. from one subject to another passes through other subjects, it can be interpreted as the information being forwarded from one subject to another via other subjects, or it can be interpreted as the information being sent from one subject to another without passing through other subjects.

[0194] The communication method involved in the embodiments of this disclosure may include at least one of steps S2101 to S2102. For example, step S2101 may be implemented as a separate embodiment, and step S2102 may be implemented as a separate embodiment, but are not limited thereto.

[0195] In some embodiments, at least one of steps S2101 to S2102 is optional, and one or more of these steps may be omitted or substituted in different embodiments.

[0196] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0197] Figure 3 is an interactive schematic diagram illustrating a method for determining CPU usage time according to an embodiment of the present disclosure. As shown in Figure 3, the embodiments of the present disclosure relate to a method for determining CPU usage time, the method including:

[0198] In step S3101, the terminal and network device determine the first duration occupied by the first CPU and / or the second duration occupied by the second CPU.

[0199] The first CPU is used to execute a first processing method, which is a method of processing CSI without using a model, and the second CPU is used to execute a second processing method, which is a method of processing CSI using a model.

[0200] In some embodiments, step S3101 is similar to step S2102 in the embodiment of FIG2A above, and will not be described again here.

[0201] In some embodiments, the first duration and the second duration are located within a first time period;

[0202] The starting position of the first time period is the first symbol after the first information is triggered, where the first information refers to the information used to activate the CSI measurement resource in aperiodic CSI or semi-continuous CSI; or, the starting position of the first time period is the first symbol of the first CSI measurement resource before the CSI reference resource, where the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer.

[0203] The end time of the first time period is the last symbol of the PUCCH / PUSCH that transmits CSI.

[0204] In some embodiments, the first duration includes a first sub-duration for channel measurement and a second sub-duration for CSI measurement; the second duration is a third sub-duration for model-based inference CSI.

[0205] In some embodiments, the first duration includes a second sub-duration for CSI measurement, the second duration including a first sub-duration for channel measurement and a third sub-duration for model-based inference CSI.

[0206] In some embodiments, the first duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI.

[0207] The second duration includes a third sub-duration for model-based inference CSI, or the second duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI.

[0208] In some embodiments, the starting position of the first sub-duration is the first symbol after the first information is triggered, or the starting position of the first sub-duration is the first symbol of the earliest CSI measurement resource among a plurality of CSI measurement resources preceding the CSI reference resource.

[0209] The end time of the first sub-duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal; or, the end time of the first sub-duration is the first symbol preceding or following the CSI reference resource; or, the end time of the first sub-duration is the last symbol of the time domain unit where the CSI reference resource is located; or, the end time of the first sub-duration is the time elapsed after the start position of the first sub-duration by a first offset value.

[0210] In some embodiments, the start time of the third sub-duration is the end time of the first duration, or the start time of the third sub-duration is the time after the first symbol following the first information trigger has passed through the third duration, and the third duration is the duration of the activated model; or the start time of the third sub-duration is the time after the last symbol of the CSI measurement resource has passed through the second offset value.

[0211] The end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third duration, or the end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third duration and the fourth duration, where the fourth duration is the duration of the model inference CSI.

[0212] In some embodiments, the start time of the second sub-duration is the end time of the second sub-duration, and the end time of the second sub-duration is the last symbol after the second information is sent.

[0213] In some embodiments, the starting position of the first duration is the first symbol after the first information is triggered, or the starting position of the first duration is the first symbol of the first CSI measurement resource before the CSI reference resource, where the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, and K is a positive integer.

[0214] The end time of the first duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal; or, the end time of the first duration is the first symbol preceding or following the CSI reference resource; or, the end time of the first duration is the last symbol of the time domain unit where the CSI reference resource is located; or, the end time of the first duration is the time elapsed after the start position of the first duration by a first offset value.

[0215] In some embodiments, the starting position of the second duration is the end time of the first duration, or the starting time of the second duration is the time after the first symbol after the first information is triggered has passed the third duration, or the starting time of the second duration is the time after the last symbol of the second CSI measurement resource before the CSI reference resource has passed the second offset value, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal.

[0216] The end time of the second duration is the last symbol of the PUCCH / PUSCH that transmits CSI.

[0217] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0218] Figure 4 is a flowchart illustrating a method for determining CPU usage time according to an embodiment of the present disclosure. As shown in Figure 4, this disclosure relates to a method for determining CPU usage time, the method including:

[0219] Step S4101: The terminal and network devices determine the method for determining the time occupied by traditional CPU and AI-based CPU.

[0220] Optionally, the traditional CPU and the AI-based CPU are referred to as the first CPU and the second CPU, respectively. Optionally, the AI-based CPU can also be referred to as ACPU.

[0221] Case 1: CSI reported using traditional algorithms based on AI-predicted CSI.

[0222] Specifically, for Aperiodic CSI reporting:

[0223] Alt1-1: The time occupied by the first CPU includes two parts, T1 and T3, and the time occupied by the second CPU is T2.

[0224] Optionally, time T1 is defined as the period from the first symbol after the PDCCH is triggered to the first moment. The first moment is one of the following:

[0225] 1. The last symbol of a resource in CSI-RS / CSI-IM / SSB measurement resources.

[0226] 2. The first symbol before or after the location of the CSI reference resource, or the last symbol of the time slot where the CSI reference resource is located.

[0227] 3. T1 time is defined as the first symbol after PDCCH is triggered + ΔT, where ΔT is the processing time for obtaining AI model input information. The value of ΔT can be determined by predefinition, UE reporting, or NW configuration.

[0228] Optionally, time T2 is defined as defining the second time point. Or the second moment (This indicates that ΔZ represents the time taken for model activation, but this time is consumed by ACPU). Wherein, This represents the time of model inference. The second time step is one of the following:

[0229] 1. The first symbol after T1.

[0230] 2. The first symbol after PDCCH is triggered is +ΔZ (representing the time ΔZ is occupied by the CPU), where ΔZ is the time required for model activation.

[0231] in, The values ​​of ΔZ can be determined through predefinition, UE reporting, or NW configuration.

[0232] 3. The time after which the CSI-RS resource is located is offset by ΔT′ consecutive symbols.

[0233] Optionally, the T3 time is defined as the period from the first symbol after T2 to the last symbol of the PUSCH that reported the CSI.

[0234] Alt1-2: If the processing before T2 is also done in CPU A, then the time occupied by CPU A is T1+T2, and then the time of T3 is determined to be the time occupied by the first CPU.

[0235] Alt1-3: The time occupied by the first CPU consists of three parts: T1, T2, and T3, which follows the traditional definition method, from the first symbol after the PDCCH is triggered to the last symbol of the PUSCH that reports to CSI. The definition of the time occupied by the second CPU, T2, is the same as described in Alt1-1.

[0236] For periodic / semi-persistent CSI reporting

[0237] Alt2-1: The time occupied by the first CPU includes two parts, T1 and T3, and the time occupied by the second CPU is T2.

[0238] Optionally, time T1 is defined as the time from the first symbol to the first moment in the Kp-th periodic / semi-persistent CSI-RS transmission that is no later than the CSI reference resource and is closest to the CSI reference resource. The value of Kp is determined by the UE capability indication. The first moment is one of the following:

[0239] 1. The last symbol of the CSI-RS / CSI-IM / SSB measurement resource.

[0240] 2. The first symbol before or after the location of the CSI reference resource, or the last symbol of the time slot where the CSI reference resource is located.

[0241] 3. The first symbol +ΔT in the Kp-th periodic / semi-persistent CSI-RS transmission that is no later than the CSI reference resource and is closest to the CSI reference resource, where ΔT is the processing time for acquiring AI model input information. The value of ΔT can be determined by predefinition, UE reporting, or NW configuration.

[0242] Optionally, time T2 is defined as defining the second time point. Or the second moment (This indicates that ΔZ represents the time taken for model activation, but this time is consumed by ACPU). Wherein, This represents the time of model inference. The second time step is one of the following:

[0243] 1. The first symbol after T1.

[0244] 2. The first symbol of T1 is +ΔZ (representing the time ΔZ is occupied by the CPU), where ΔZ is the time required for model activation.

[0245] in, The values ​​of ΔZ can be determined through predefinition, UE reporting, or NW configuration.

[0246] Optionally, the T3 time is defined as the period from the first symbol after T2 to the last symbol of the PUSCH that reported the CSI.

[0247] Alt2-2: If the processing before T2 is also handled by CPU A, then the time occupied by CPU A is T1 + T2, and then the time of T3 is determined to be the time occupied by the first CPU.

[0248] Alt2-3: Similar to Alt1-2, the time occupied by the first CPU includes three parts: T1, T2, and T3. That is, following the traditional definition, it is the time from the first symbol of the Kp-th periodic / semi-persistent CSI-RS transmission that is no later than the CSI reference resource and closest to the CSI reference resource, to the last symbol of the PUSCH reporting the CSI. The definition of the time occupied by the second CPU, T2, is the same as described in Alt2-1.

[0249] Case 2: CSI reporting based on AI prediction using bilateral AI model inference.

[0250] For Aperiodic CSI reporting:

[0251] Alt3-1: The time occupied by the first CPU is T1, and the time occupied by the second CPU is T2.

[0252] Optionally, time T1 is defined as the period from the first symbol after the PDCCH is triggered to the first moment. The first moment is one of the following:

[0253] 1. The last symbol of the CSI-RS / CSI-IM / SSB measurement resource.

[0254] 2. The first symbol before or after the location of the CSI reference resource, or the last symbol of the time slot where the CSI reference resource is located.

[0255] 3. T1 time is defined as the first symbol after PDCCH is triggered + ΔT, where ΔT is the processing time for obtaining AI model input information. The value of ΔT can be determined by predefinition, UE reporting, or NW configuration.

[0256] Optionally, time T2 is defined as the time from the second time step to the last symbol of the PUSCH reporting CSI, or, the second time step + ΔZ (meaning ΔZ is the time used for model activation, but this time is occupied by ACPU) to the last symbol of the PUSCH reporting CSI. The second time step is one of the following:

[0257] 1. The first symbol after T1

[0258] 2. The first symbol after PDCCH triggering + ΔZ (indicating the time ΔZ is occupied by the CPU), where ΔZ is the time required for model activation. The value of ΔZ can be determined by predefinition, UE reporting, or NW configuration.

[0259] Alt3-2: The time occupied by the first CPU is T1, and the time occupied by the second CPU is T1+T2, which is from the first symbol after the traditional PDCCH to the last symbol of the PUSCH reported to CSI.

[0260] For periodic / semi-persistent CSI reporting.

[0261] Alt4-1: The time occupied by the first CPU is T1, and the time occupied by the second CPU is T2.

[0262] Optionally, time T1 is defined as the time from the first symbol to the first moment in the Kp-th periodic / semi-persistent CSI-RS transmission that is no later than the CSI reference resource and is closest to the CSI reference resource. The value of Kp is determined by the UE capability indication. The first moment is one of the following:

[0263] 1. The last symbol of the CSI-RS / CSI-IM / SSB measurement resource.

[0264] 2. The first symbol before or after the location of the CSI reference resource, or the last symbol of the time slot where the CSI reference resource is located.

[0265] 3. The first symbol +ΔT in the Kp-th periodic / semi-persistent CSI-RS transmission that is no later than the CSI reference resource and is closest to the CSI reference resource, where ΔT is the processing time for acquiring AI model input information. The value of ΔT can be determined by predefinition, UE reporting, or NW configuration.

[0266] Optionally, T2 time is defined as the time from the definition of the second time point to the last symbol of the PUSCH that reported the CSI, or the second time point. (This indicates that ΔZ is the time taken for model activation, but this time is occupied by ACPU) up to the last symbol of the PUSCH reported to CSI. The second time step is one of the following:

[0267] 1. The first symbol after T1.

[0268] 2. The first symbol of T1 is +ΔZ (representing the time ΔZ is occupied by the CPU), where ΔZ is the time required for model activation. The value of ΔZ can be determined by predefinition, UE reporting, or NW configuration.

[0269] Alt4-2: The time occupied by the first CPU is T1, and the time occupied by the second CPU is T1+T2. That is, following the traditional definition method, it is the time from the first symbol of the Kp-th periodic / semi-persistent CSI-RS transmission that is no later than the CSI reference resource and closest to the CSI reference resource to the last symbol of the PUSCH that reported the CSI.

[0270] Note 1: The time units mentioned above can represent the number of OFDM symbols.

[0271] Note 2: The above scheme assumes that CSI calculation is first performed using traditional non-AI methods, and then using an AI model. As an extended scheme, it is also possible to first perform inference using an AI model, and then perform calculation using both the AI ​​model and / or traditional non-AI methods. In this case, the ACPU's occupancy time is determined first, and then the CPU time is determined. The CPU time is determined by using the ACPU's end time as a reference time, and then determining the CPU's occupancy time. The method for determining the reference time is similar to the above method of using the CPU's end time as a reference time.

[0272] In some embodiments, the steps and their optional implementations in other embodiments described before or after this embodiment, as well as other related parts in the specification, can be referred to, and will not be repeated here.

[0273] This disclosure also proposes an apparatus (also referred to as a communication device, etc.) for implementing any of the above methods. For example, an apparatus is proposed that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Furthermore, another apparatus is proposed 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.

[0274] 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.

[0275] 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).

[0276] Figure 5A is a schematic diagram of the structure of a terminal according to an embodiment of this disclosure. Terminal 5100 is used to execute any of the above methods. In some embodiments, as shown in Figure 5A, terminal 5100 may include at least one of a transceiver module 5101, a processing module 5102, etc. In some embodiments, the processing module 5102 is used to determine a first duration occupied by a first CPU and / or a second duration occupied by a second CPU, wherein the first CPU is used to execute a first processing mode, which refers to a mode that does not use a model to process CSI, and the second CPU is used to execute a second processing mode, which refers to a mode that uses a model to process CSI. Optionally, the transceiver module is used to execute at least one of the communication steps such as sending and / or receiving performed by terminal 101 in any of the above methods, which will not be elaborated here. Optionally, the processing module is used to execute at least one of the other steps performed by terminal 5100 in any of the above methods, which will not be elaborated here.

[0277] Figure 5B is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. The network device 5200 is used to execute any of the above methods. In some embodiments, as shown in Figure 5B, the network device 5200 may include at least one of a transceiver module 5201, a processing module 5202, etc. In some embodiments, the processing module 5202 is used to determine a first duration occupied by a first CPU and / or a second duration occupied by a second CPU, wherein the first CPU is used to execute a first processing mode, which refers to a mode that does not use a model to process CSI, and the second CPU is used to execute a second processing mode, which refers to a mode that uses a model to process CSI. Optionally, the transceiver module is used to execute at least one of the communication steps such as sending and / or receiving performed by the network device 5200 in any of the above methods, which will not be elaborated here. Optionally, the processing module is used to execute at least one of other steps performed by the network device 5200 in any of the above methods (e.g., step S2105, but not limited thereto), which will not be elaborated here.

[0278] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, which may be separate or integrated. Optionally, the transceiver module may be interchangeable with a transceiver.

[0279] In some embodiments, the processing module may be a single module or may include multiple sub-modules. Optionally, the multiple sub-modules may each perform all or part of the steps required by the processing module.

[0280] In some embodiments, the processing module can be replaced by the processor, and the transceiver module can be replaced by the transceiver.

[0281] Figure 6A is a schematic diagram of the structure of the communication device 6100 proposed in an embodiment of this disclosure. The communication device 6100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment, etc.), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 6100 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.

[0282] As shown in Figure 6A, the communication device 6100 is used to execute any of the above methods. In some embodiments, the communication device 6100 includes one or more processors 6101. The processor 6101 may be a general-purpose processor or a special-purpose processor, such as a baseband processor or a central processing unit. The baseband processor may be used to process communication protocols and communication data, and the central processing unit may 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. Optionally, the communication device 6100 is used to execute any of the above methods. Optionally, one or more processors 6101 are used to invoke instructions to cause the communication device 6100 to execute any of the above methods.

[0283] In some embodiments, the communication device 6100 further includes one or more transceivers 6102. When the communication device 6100 includes one or more transceivers 6102, the transceiver 6102 performs at least one of the communication steps (e.g., steps S2103, S2104, but not limited thereto) in the above method, such as sending and / or receiving, and the processor 6101 performs at least one of other steps (e.g., steps S2101, S2102, S2105, but not limited thereto). In optional embodiments, the transceiver may include a receiver and / or a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, interface, etc., can be used interchangeably; the terms transmitter, sending unit, transmitter, sending circuit, etc., can be used interchangeably; the terms receiver, receiving unit, receiver, receiving circuit, etc., can be used interchangeably.

[0284] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data and / or instructions. Optionally, one or more processors 6101 are used to invoke instructions stored in the memory 6103 to cause the communication device 6100 to perform any of the above methods. Optionally, all or part of the memory 6103 may also be located outside the communication device 6100. In an optional embodiment, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuit 6104 is connected to the memory 6102 and can be used to receive data and / or instructions from the memory 6102 or other devices, and can be used to send data and / or instructions to the memory 6102 or other devices. For example, the interface circuit 6104 can read data and / or instructions stored in the memory 6102 and send the data and / or instructions to the processor 6101.

[0285] The communication device 6100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 6100 described in this disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6A. 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, programs and / or instructions; (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.

[0286] Figure 6B is a schematic diagram of the structure of chip 6200 according to an embodiment of this disclosure. For cases where the communication device 6100 can be a chip or a chip system, please refer to the schematic diagram of chip 6200 shown in Figure 6B, but it is not limited thereto.

[0287] Chip 6200 includes one or more processors 6201. Chip 6200 is used to perform any of the methods described above.

[0288] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Optionally, terms such as interface circuit, interface, and transceiver pin can be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data and / or instructions. Optionally, all or part of the memories 6203 may be located outside of chip 6200. Optionally, interface circuit 6202 is connected to memory 6203, and interface circuit 6202 can be used to receive data and / or instructions from memory 6203 or other devices, and interface circuit 6202 can be used to send data and / or instructions to memory 6203 or other devices. For example, interface circuit 6202 can read data and / or instructions stored in memory 6203 and send the data and / or instructions to processor 6201.

[0289] In some embodiments, the interface circuit 6202 performs at least one of the communication steps (e.g., steps S2103, S2104, but not limited thereto) in the above-described method, such as sending and / or receiving. For example, the interface circuit 6202 performing the communication steps (e.g., sending and / or receiving) in the above-described method means that the interface circuit 6202 performs data and / or instruction interaction between the processor 6201, the chip 6200, the memory 6203, or the transceiver device. In some embodiments, the processor 6201 performs at least one of other steps (e.g., steps S2101, S2102, but not limited thereto).

[0290] The modules and / or devices described in the various embodiments, such as virtual devices, physical devices, and chips, can be combined or separated arbitrarily as needed. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.

[0291] This disclosure also proposes a storage medium storing instructions that, when executed on a communication device, cause the communication device 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.

[0292] This disclosure also proposes a program product, including a program and / or instructions, which, when executed by a communication device, cause the communication device to perform any of the above methods. Optionally, the program product is a computer program product. Optionally, the program product is stored on the storage medium.

[0293] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

Claims

1. A method for determining the CPU occupancy time of a channel state information processing unit, wherein, The method is executed by a terminal or network device, and the method includes: Determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which refers to a mode that does not use a model to process Channel State Information (CSI), and the second CPU is used to execute a second processing mode, which refers to a mode that uses a model to process CSI.

2. The method according to claim 1, wherein, The first duration and the second duration are within the first time period; The starting position of the first time period is the first symbol after the first information is triggered, where the first information refers to the information used to activate the CSI measurement resource in aperiodic CSI or semi-continuous CSI; or, the starting position of the first time period is the first symbol of the first CSI measurement resource before the CSI reference resource, where the first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer. The end time of the first time period is the last symbol of the Physical Uplink Control Channel (PUCCH) / Physical Uplink Shared Channel (PUSCH) that transmits CSI.

3. The method according to claim 1 or 2, wherein, The first duration includes a first sub-duration for channel measurement and a second sub-duration for CSI measurement; the second duration is a third sub-duration for model-based inference CSI.

4. The method according to claim 1 or 2, wherein, The first duration includes a second sub-duration for CSI measurements, and the second duration includes a first sub-duration for channel measurements and a third sub-duration for model-based inference CSI.

5. The method according to claim 1 or 2, wherein, The first duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI. The second duration includes a third sub-duration for model-based inference CSI, or the second duration includes a first sub-duration for channel measurement, a second sub-duration for CSI measurement, and a third sub-duration for model-based inference CSI.

6. The method according to any one of claims 3 to 5, wherein, The starting position of the first sub-duration is the first symbol after the first information is triggered, or the starting position of the first sub-duration is the first symbol of the earliest CSI measurement resource among multiple CSI measurement resources preceding the CSI reference resource; The end time of the first sub-duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal; or, the end time of the first sub-duration is the first symbol preceding or following the CSI reference resource; or, the end time of the first sub-duration is the last symbol of the time domain unit where the CSI reference resource is located; or, the end time of the first sub-duration is the time elapsed after the start position of the first sub-duration by a first offset value.

7. The method according to any one of claims 3 to 5, wherein, The start time of the third sub-duration is the end time of the first duration, or the start time of the third sub-duration is the time after the first symbol after the first information is triggered has passed through the third duration, and the third duration is the duration of the activated model; or the start time of the third sub-duration is the time when the last symbol of the CSI measurement resource has passed through the second offset value. The end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third duration, or the end time of the third sub-duration is the time after the start time of the third sub-duration has passed through the third duration and the fourth duration, where the fourth duration is the duration of the model inference CSI.

8. The method according to any one of claims 3 to 5, wherein, The start time of the second sub-duration is the end time of the second sub-duration, and the end time of the second sub-duration is the last symbol after the second information is sent.

9. The method according to claim 1 or 2, wherein, The starting position of the first duration is the first symbol after the first information is triggered, or the starting position of the first duration is the first symbol of the first CSI measurement resource before the CSI reference resource. The first CSI measurement resource refers to the earliest CSI measurement resource among the CSI measurement resources associated with the measurement reference signals transmitted in the most recent K times, where K is a positive integer. The end time of the first duration is the last symbol of the second CSI measurement resource preceding the CSI reference resource, where the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal; or, the end time of the first duration is the first symbol preceding or following the CSI reference resource; or, the end time of the first duration is the last symbol of the time domain unit where the CSI reference resource is located; or, the end time of the first duration is the time elapsed after the start position of the first duration by a first offset value.

10. The method according to claim 1 or 2, wherein, The starting position of the second duration is the end time of the first duration, or the starting time of the second duration is the time after the first symbol after the first information is triggered has passed the third duration, or the starting time of the second duration is the time after the last symbol of the second CSI measurement resource before the CSI reference resource has passed the second offset value, and the second CSI measurement resource refers to the latest CSI measurement resource among the CSI measurement resources associated with the most recently transmitted measurement reference signal. The end time of the second duration is the last symbol of the PUCCH / PUSCH that transmits CSI.

11. A device for determining CPU usage time, wherein, The device includes: The processing module is used to determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which is a mode of processing CSI without using the model, and the second CPU is used to execute a second processing mode, which is a mode of processing CSI using the model.

12. A communication device, wherein, The communication device is used to execute the method for determining CPU occupancy time as described in any one of claims 1-10.

13. A method for determining CPU usage time, used in a communication system, the communication system including a terminal and network equipment, wherein, The method includes: The terminal and the network device determine a first duration occupied by the first CPU and / or a second duration occupied by the second CPU, wherein the first CPU is used to execute a first processing mode, which is a mode that does not use the model to process CSI, and the second CPU is used to execute a second processing mode, which is a mode that uses the model to process CSI.

14. A communication system, wherein, The device includes at least one of a terminal and a network device, wherein the terminal and the network device are configured to implement the method for determining CPU usage time as described in any one of claims 1-10.

15. A storage medium storing instructions, wherein, When the instruction is executed on the communication device, the communication device performs the method for determining CPU usage time as described in any one of claims 1-10.

16. A program product comprising at least one of a program and instructions, wherein, When at least one of the programs or instructions is executed by the communication device, it implements the method for determining the CPU occupancy time as described in any one of claims 1-10.

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