Communication processing method, terminal, network device, system, and storage medium
By activating the AI or ML-based CSI processing model in terminals and network devices, and using airspace, frequency domain and time domain information to process CSI, the problem of insufficient CSI compression performance in the prior art is solved, and more efficient communication processing is achieved.
Patent Information
- Application Number
- PCT/CN2023/137085
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Filing Date
- 2023-12-07
- Publication Date
- 2025-06-12
AI Technical Summary
In channel state information processing based on artificial intelligence or machine learning, the prior art lacks in improving the compression performance of airspace information and frequency domain information.
A communication processing method is provided to perform CSI processing using airspace information, frequency domain information and time domain information by activating a CSI processing model based on AI or ML in a terminal and a network device. The method includes the terminal and network device activate the CSI processing model when a specific condition is met and resetting the accumulated CSI information when the model is applied to ensure accuracy.
By combining time domain information, CSI compression performance can be improved, the throughput of communication system and the accuracy of model applications can be improved.
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Figure CN2023137085_12062025_PF_FP_ABST
Abstract
Description
Communication processing method, terminal, network device, system and storage medium Technical Field
[0001] The present disclosure relates to the field of communication technologies, and in particular to a communication processing method, terminal, network device, system, and storage medium. Background Art
[0002] In channel state information (CSI) processing based on artificial intelligence (AI) or machine learning (ML), CSI can be predicted and compressed based on AI or ML models. However, compression based on spatial and frequency domain information, or SF compression, has not been able to improve compression performance enough.
[0003] Summary of the Invention
[0004] Embodiments of the present disclosure provide a communication processing method, a terminal, a network device, a system, and a storage medium.
[0005] In a first aspect, an embodiment of the present disclosure provides a communication processing method, the method comprising:
[0006] The terminal activates the CSI processing model when the conditions are met; the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0007] In a second aspect, an embodiment of the present disclosure provides a communication processing method, the method comprising:
[0008] The network device activates the CSI processing model when conditions are met; the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0009] In a third aspect, an embodiment of the present disclosure provides a terminal, including:
[0010] A processing module is used to activate a CSI processing model when conditions are met; wherein the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0011] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:
[0012] A processing module is used to activate a CSI processing model when conditions are met; wherein the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0013] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:
[0014] one or more processors;
[0015] The terminal is used to execute the method of the first aspect.
[0016] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:
[0017] one or more processors;
[0018] The network device is used to execute the method of the second aspect.
[0019] In a seventh aspect, an embodiment of the present disclosure provides a communication system, including a terminal and a network device, wherein:
[0020] The terminal is configured to implement the method of the first aspect;
[0021] The network device is configured to implement the method of the second aspect.
[0022] In an eighth aspect, an embodiment of the present disclosure provides a storage medium, wherein the storage medium stores instructions, wherein:
[0023] When the instructions are executed on the communication device, the communication device is caused to execute the method of the first aspect or the second aspect.
[0024] In the disclosed embodiment, the terminal activates the CSI processing model at an appropriate time based on conditional determination, and timely adjusts the application mode of the model to ensure the accuracy of the application of the CSI processing model. BRIEF DESCRIPTION OF THE DRAWINGS
[0025] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.
[0026] FIG1a is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure;
[0027] FIG1b is a schematic diagram of a CSI processing model provided according to an embodiment of the present disclosure;
[0028] FIG2 is an exemplary interaction diagram of a method provided according to an embodiment of the present disclosure;
[0029] 3a to 3c are exemplary flowcharts of a method according to an embodiment of the present disclosure;
[0030] 4a to 4c are exemplary flowcharts of a method according to an embodiment of the present disclosure;
[0031] FIG5a is a schematic structural diagram of a terminal according to an embodiment of the present disclosure;
[0032] FIG5b is a schematic structural diagram of a network device according to an embodiment of the present disclosure;
[0033] FIG6a is a schematic diagram of a communication device according to an embodiment of the present disclosure;
[0034] FIG6 b is a schematic diagram of a communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION
[0035] Embodiments of the present disclosure provide a communication processing method, a terminal, a network device, a system, and a storage medium.
[0036] In a first aspect, an embodiment of the present disclosure provides a communication processing method, the method comprising:
[0037] The terminal activates the CSI processing model when the conditions are met; the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0038] In the above embodiment, the terminal determines based on conditions to activate the CSI processing model at an appropriate time and adjusts the application mode of the model in a timely manner to ensure the accuracy of the application of the CSI processing model.
[0039] In combination with the embodiments of the first aspect, in some embodiments, the condition is used to indicate a change in information associated with an input CSI of a CSI processing model, wherein the input CSI is obtained by the terminal based on downlink reference signal (Reference Signal, RS) measurement.
[0040] In the above embodiment, when the input related information of the CSI processing model changes, the terminal needs to activate the CSI processing model before applying it, so as to avoid the input information being inapplicable and affecting the accuracy of the output result.
[0041] In conjunction with the embodiments of the first aspect, in some embodiments, the condition includes at least one of the following:
[0042] Changes in the CSI reporting configuration flag corresponding to the CSI processing model;
[0043] The CSI resource identifier corresponding to the CSI processing model changes. The CSI resource identifier corresponds to the CSI reporting configuration identifier.
[0044] Changes in downlink RS information corresponding to the input CSI of the CSI processing model;
[0045] The duration during which the CSI processing model is not used exceeds the running duration of the timer.
[0046] In the above embodiment, when at least one of the above conditions is met, the application environment or scenario of the CSI processing model changes, and the terminal needs to activate the CSI processing model in a timely manner.
[0047] In conjunction with the embodiments of the first aspect, in some embodiments, the method further includes:
[0048] The terminal receives configuration information sent by the network device, where the configuration information includes a CSI reporting configuration identifier and a corresponding CSI resource identifier.
[0049] In the above embodiment, the terminal receives configuration information to obtain the CSI reporting configuration identifier and CSI resource identifier configured by the network device, so that the terminal can promptly judge or determine whether the CSI reporting configuration identifier or CSI resource identifier has been sent based on the configuration information, thereby activating the CSI processing model at an appropriate time.
[0050] In conjunction with the embodiment of the first aspect, in some embodiments, the downlink RS information includes:
[0051] Downlink RS characteristic information;
[0052] Downlink RS status;
[0053] The characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information and space domain characteristic information, and the state includes an activated state or a deactivated state.
[0054] In the above embodiment, the terminal may activate the CSI processing model in a timely manner when the characteristic information or state of the downlink RS changes.
[0055] In conjunction with the embodiments of the first aspect, in some embodiments, the time domain characteristic information includes a period of a downlink RS;
[0056] The frequency domain characteristic information includes the frequency domain unit where the downlink RS is located;
[0057] The spatial characteristic information includes the RS identifier of the downlink RS that is quasi co-located (QCL).
[0058] In the above embodiment, characteristic information of different dimensions is illustrated, so that the terminal can judge or determine whether the characteristic information of the downlink RS changes in a timely manner.
[0059] In combination with the embodiments of the first aspect, in some embodiments, the timer is defined by a protocol or configured by a network device.
[0060] In the above embodiment, the running time of the timer can be defined by the protocol or configured by the network device, so that the terminal can determine whether to activate the CSI processing model based on whether the timer has timed out.
[0061] In conjunction with the embodiments of the first aspect, in some embodiments, activating the CSI processing model includes:
[0062] The accumulated CSI information in the CSI processing model is reset to a default value or an initial value; or, the accumulated CSI information is reset based on the terminal capability or terminal implementation.
[0063] In the above embodiment, the terminal may reset the accumulated CSI information to ensure the accuracy of the re-applying CSI processing model.
[0064] In combination with the embodiments of the first aspect, in some embodiments, the accumulated CSI information is determined based on historical CSI obtained from multiple measurements.
[0065] In the above embodiment, the accumulated CSI information includes historical CSI data measured by the terminal. After resetting the accumulated CSI information, the terminal no longer uses inappropriate historical CSI data to prevent affecting the accuracy of the model.
[0066] In a second aspect, an embodiment of the present disclosure provides a communication processing method, the method comprising:
[0067] The network device activates the CSI processing model when conditions are met; the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0068] In combination with the embodiments of the second aspect, in some embodiments, the condition is used to indicate a change in information associated with the input CSI of the CSI processing model, wherein the input CSI is obtained by the terminal based on downlink RS measurement.
[0069] In conjunction with the embodiments of the second aspect, in some embodiments, the condition includes at least one of the following:
[0070] Changes in the CSI reporting configuration flag corresponding to the CSI processing model;
[0071] The CSI resource identifier corresponding to the CSI processing model changes. The CSI resource identifier corresponds to the CSI reporting configuration identifier.
[0072] Changes in downlink RS information corresponding to the input CSI of the CSI processing model;
[0073] The duration during which the CSI processing model is not used exceeds the running duration of the timer.
[0074] In conjunction with the embodiments of the second aspect, in some embodiments, the method further includes:
[0075] The network device sends configuration information to the terminal, where the configuration information includes a CSI reporting configuration identifier and a corresponding CSI resource identifier.
[0076] In conjunction with the embodiment of the second aspect, in some embodiments, the downlink RS information includes:
[0077] Downlink RS characteristic information;
[0078] Downlink RS status;
[0079] The characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information and space domain characteristic information, and the state includes an activated state or a deactivated state.
[0080] In conjunction with the embodiments of the second aspect, in some embodiments, the time domain characteristic information includes a period of a downlink RS;
[0081] The frequency domain characteristic information includes the frequency domain unit where the downlink RS is located;
[0082] The spatial characteristics information includes the RS identifier of the downlink RS QCL.
[0083] In combination with the embodiments of the second aspect, in some embodiments, the timer is defined by a protocol or configured by a network device.
[0084] In conjunction with the embodiments of the second aspect, in some embodiments, activating the CSI processing model includes:
[0085] Reset the accumulated CSI information in the CSI processing model to a default value or an initial value; or reset the accumulated CSI information according to the terminal capability.
[0086] In combination with the embodiments of the second aspect, in some embodiments, the accumulated CSI information is determined based on historical CSI obtained by the terminal through multiple measurements.
[0087] In a third aspect, an embodiment of the present disclosure provides a terminal, including:
[0088] A processing module is used to activate a CSI processing model when conditions are met; wherein the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0089] In a fourth aspect, an embodiment of the present disclosure provides a network device, including:
[0090] A processing module is used to activate a CSI processing model when conditions are met; wherein the CSI processing model is an AI or ML-based model used to perform CSI processing based on spatial domain information, frequency domain information, and time domain information.
[0091] In a fifth aspect, an embodiment of the present disclosure provides a terminal, including:
[0092] one or more processors;
[0093] The terminal is used to execute the method of the first aspect.
[0094] In a sixth aspect, an embodiment of the present disclosure provides a network device, including:
[0095] one or more processors;
[0096] The network device is used to execute the method of the second aspect.
[0097] In a seventh aspect, an embodiment of the present disclosure provides a communication system, including a terminal and a network device, wherein:
[0098] The terminal is configured to implement the method of the first aspect;
[0099] The network device is configured to implement the method of the second aspect.
[0100] In an eighth aspect, an embodiment of the present disclosure provides a storage medium, wherein the storage medium stores instructions, wherein:
[0101] When the instructions are executed on the communication device, the communication device is caused to execute the method of the first aspect or the second aspect.
[0102] In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation of the first and second aspects.
[0103] In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first and second aspects.
[0104] In an eleventh aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first and second aspects above.
[0105] It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.
[0106] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain 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 certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.
[0107] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.
[0108] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.
[0109] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.
[0110] In the embodiments of the present disclosure, “plurality” refers to two or more.
[0111] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.
[0112] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.
[0113] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.
[0114] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.
[0115] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.
[0116] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.
[0117] In some embodiments, terms such as "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 less than", and "above" can be replaced with each other, and terms such as "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" can be replaced with each other.
[0118] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.
[0119] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.
[0120] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or 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", "bandwidth part (BWP)", etc.
[0121] In some embodiments, "terminal" or "terminal device" may be referred to as "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, client, etc.
[0122] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.
[0123] In some embodiments, data, information, etc. may be obtained with the user's consent.
[0124] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.
[0125] FIG1a is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.
[0126] As shown in FIG. 1 a , a communication system 100 includes a terminal 101 and a network device 102 .
[0127] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.
[0128] In some embodiments, when the network device 102 is a network device, the network device may include at least one of an access network device and a core network device.
[0129] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (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 base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.
[0130] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.
[0131] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.
[0132] In some embodiments, the core network device can be a device including one or more network elements, or it can be multiple devices or device groups, each including all or part of one or more network elements. The network element can be virtual or physical. The core network includes, for example, at least one of the Evolved Packet Core (EPC), the 5G Core Network (5GCN), and the Next Generation Core (NGC). Alternatively, the core network device refers to a network element with a specific function, such as the Access Management Function (AMF), the Service Management Function (SMF), etc.
[0133] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.
[0134] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG. 1 a , or a partial body thereof, but are not limited thereto.
[0135] The entities shown in Figure 1a are examples. The communication system may include all or part of the entities in Figure 1a, or may include other entities outside Figure 1a. The number and form of the entities are arbitrary. The connection relationship between the entities is an example. The entities may be connected or disconnected, and the connection may be in any manner, which may be direct or indirect, and may be wired or wireless.
[0136] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (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 utilizing other communication processing methods, and next-generation systems based on and extending these. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).
[0137] In the disclosed embodiments, SF compression does not provide sufficient improvement in compression performance, such as a throughput improvement of <10%. Compression performance can be improved by incorporating time domain information into the compression, such as compression based on spatial, frequency, and time domain information, i.e., SFT compression. Optionally, unlike the SF compression model, the input to the SFT compression model at each inference stage includes the measured CSI obtained from the RS measurement at the current moment and the accumulated CSI information of the previous time domain unit.
[0138] In the embodiment of the present disclosure, as shown in FIG1B , an SFT compression model, such as a CSI processing model, may include an encoding portion (Encoder) deployed on the terminal 101 side and a decoding portion (Decoder) deployed on the network device 102 side. Taking the encoding portion of terminal 101 as an example, terminal 101 may encode and quantize (Quantizer) input information (e.g., denoted as V1) based on the CSI processing model to achieve CSI compression, and may transmit the compressed information to network device 102. Network device 102 dequantizes (De-quantizer) and decodes the received information to obtain decompressed information. Cumulative CSI information is generated on both the terminal 101 side and the network device 102 side.
[0139] Optionally, the CSI processing model may include a long short-term memory (LSTM) module and a sequence model (Transformer, TF) module to process the input information.
[0140] Optionally, the accumulated CSI information may include historical CSI information (or historical information) learned in a specific scenario. If the scenario changes, the learned historical information may become unavailable, that is, the input of the CSI processing model may become unavailable. It is necessary to solve how the terminal 101 applies the CSI processing model in this case.
[0141] FIG2 is an interactive diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG2 , an embodiment of the present disclosure relates to a communication processing method, the method comprising:
[0142] In step S2101 , the network device 102 sends configuration information to the terminal 101 .
[0143] In some embodiments, the configuration information may include CSI reporting configuration information configured for terminal 101. Optionally, the CSI reporting configuration information includes information or parameters related to CSI reporting, such as time-frequency information, periodicity, or time domain characteristics that must be met when terminal 101 reports CSI. The time domain characteristics may be semi-static or periodic.
[0144] Optionally, the CSI reporting configuration information includes: CSI resource configuration information (CSI resource configuration), and / or AI-based model configuration information (CSI-AI-model configuration).
[0145] Optionally, the CSI resource configuration information includes CSI resource information or parameters related to the CSI reporting process, such as time-frequency information or periodicity of a RS related to CSI measurement; the RS may be a Channel State Information Reference Signal (CSI-RS). The CSI reporting configuration information and the CSI resource configuration information have a mapping or associated relationship.
[0146] Optionally, the AI-based model configuration information includes model information used for CSI reporting, wherein the CSI resource configuration information and the AI-based model configuration information have a mapping or corresponding relationship.
[0147] Optionally, the configuration information includes a CSI reporting configuration identifier (CSI report configuration ID) and a corresponding CSI resource identifier (CSI resource ID). The CSI reporting configuration identifier may be CSI report configuration#1, and the CSI resource identifier may refer to a CSI resource configuration information identifier, for example, the CSI resource identifier may be CSI resource configuration#1, and the AI-based model configuration information may be CSI-AI-model#1.
[0148] Optionally, the same model configuration may correspond to different CSI resource configurations based on different configuration information of the network device 102. For example, CSI resource configuration #1 and the corresponding CSI-AI-model #1 are configured in CSI report configuration #1, and CSI resource configuration #2 and the corresponding CSI-AI-model #1 are configured in CSI report configuration #2.
[0149] In some embodiments, terminal 101 receives configuration information.
[0150] Step S2102 , the network device 102 sends activation or deactivation signaling to the terminal 101 .
[0151] In some embodiments, the activation signaling is used to activate any one or more CSI reporting configuration information, and the deactivation signaling is used to deactivate one or more CSI reporting configuration information.
[0152] Optionally, the activation signaling or deactivation signaling may be sent via a Media Access Control Control Element (MAC CE).
[0153] In one example, the network device 102 is configured with two sets of CSI reporting configuration information, respectively recorded as CSI report configuration #1 and CSI report configuration #2. The network device 102 can activate one of them through a MAC CE, or activate the two CSI reporting configuration information through MAC CEs at different times.
[0154] In this example, at other times, the network device 102 may also deactivate any CSI reporting configuration information through a MAC CE. After deactivating the CSI reporting configuration information, the CSI resource identifier corresponding to the model will change.
[0155] In some embodiments, the terminal 101 receives activation signaling, activates corresponding CSI reporting configuration information according to the activation signaling, and applies corresponding AI models and CSI resources according to the CSI reporting configuration information.
[0156] In one example, in conjunction with the preceding embodiments, network device 102 activates CSI reporting configuration #1 via MAC CE at time t1. Terminal 101 then reports CSI according to CSI resource configuration #1 and the corresponding CSI-AI-model #1. Network device 102 deactivates CSI reporting configuration #1 via MAC CE at time t2, and activates CSI reporting configuration #2 via MAC CE at time t3. Terminal 101 then reports CSI according to CSI resource configuration #2 and the corresponding CSI-AI-model #1.
[0157] Step S2103: activating the CSI processing model when the conditions are met.
[0158] Optionally, activating the CSI processing model may be initial activation or reactivation. For example, the CSI processing model has not changed, but if a condition is met, the terminal 101 may reactivate the CSI processing model in order to apply the same model again.
[0159] Optionally, when conditions are met, terminal 101 and network device 102 may simultaneously activate the CSI processing model. The predefined conditions (or rules or practices) are known to both terminal 101 and network device 102. When terminal 101 reactivates the model on the encoding side, the network device also reactivates the model on the decoding side.
[0160] In some embodiments, the condition is used to indicate a change in information associated with an input CSI of a CSI processing model, where the input CSI is obtained by the terminal 101 based on downlink RS measurement.
[0161] Optionally, the CSI processing model may be an AI or ML-based SFT model, wherein the input CSI of the model includes the measured CSI at the current moment and the accumulated CSI information before the current moment. Information associated with the input CSI includes, but is not limited to, configuration information or RS related to obtaining the two CSIs.
[0162] Optionally, the accumulated CSI information is determined based on historical CSI obtained from multiple measurements. For example, before the current moment, terminal 101 measured CSI-RS at multiple moments and obtained the measured CSI corresponding to each CSI-RS, which are recorded as multiple historical CSIs. The accumulated CSI information can be calculated and determined based on the multiple historical CSIs.
[0163] In some embodiments, activating the CSI processing model includes:
[0164] The accumulated CSI information in the CSI processing model is reset to a default value or an initial value; or, the accumulated CSI information is reset based on the terminal capability or terminal implementation.
[0165] Optionally, the default value may be 0, and the initial value may be a predefined or specific value. Optionally, the reset value may be different depending on the terminal capabilities.
[0166] In some embodiments, the condition includes at least one of the following:
[0167] Changes in the CSI reporting configuration flag corresponding to the CSI processing model;
[0168] The CSI resource identifier corresponding to the CSI processing model changes. The CSI resource identifier corresponds to the CSI reporting configuration identifier.
[0169] Changes in downlink RS information corresponding to the input CSI of the CSI processing model;
[0170] The duration during which the CSI processing model is not used exceeds the running duration of the timer.
[0171] Optionally, in the above conditions, at least one of the CSI reporting configuration identifier, the CSI resource identifier, the downlink RS information, or the duration of not using the CSI processing model is information associated with the input CSI. With reference to the description of the preceding embodiment, the input CSI of the CSI processing model includes: the measured CSI at the current moment and the accumulated CSI information before the current moment.
[0172] Among them, the measured CSI at the current moment is obtained by the terminal 101 based on the downlink RS received at the current moment, such as CSI-RS measurement, that is, the measured CSI is associated with the downlink RS information; in addition, the CSI resource identifier is used to indicate the downlink RS information related to this measurement, so that the measured CSI is associated with the CSI resource identifier; the CSI resource identifier corresponds to the CSI reporting configuration identifier of this CSI report, so that the measured CSI is associated with the CSI reporting configuration identifier.
[0173] The accumulated CSI information is related to historical CSI measured multiple times before the current moment. With reference to the method for obtaining the measured CSI, the accumulated CSI information is associated with at least one of the downlink RS information, the CSI resource identifier, or the CSI reporting configuration. Furthermore, if the duration of non-use of the CSI processing model exceeds the timer's operating duration, the accumulated CSI information temporarily stored in the CSI processing model will become invalid or inaccurate. Therefore, the accumulated CSI information is associated with whether the CSI processing model is continuously used. If the duration of non-use of the CSI processing model exceeds the operating duration, the accumulated CSI information may not be applicable.
[0174] Optionally, the downlink RS information includes:
[0175] Downlink RS characteristic information;
[0176] Downlink RS status;
[0177] The characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information and space domain characteristic information, and the state includes an activated state or a deactivated state.
[0178] Optionally, when characteristic information or status of the downlink RS changes, it is considered that the condition is met.
[0179] Optionally, the time domain characteristic information includes a period of a downlink RS;
[0180] The frequency domain characteristic information includes the frequency domain unit where the downlink RS is located;
[0181] The spatial characteristic information includes the RS identifier of the downlink RS that is quasi co-located (QCL).
[0182] The downlink RS may refer to the CSI-RS, and the frequency domain unit may be the sub-band or bandwidth part (BWP) where the CSI-RS is located. That is, if the frequency domain unit where the CSI-RS is located changes, it is considered that the condition is met.
[0183] Among them, the RS identifier of the downlink RSQCL can be the CSI-RS identifier of the QCL type D (type D) of the CSI-RS or the synchronization reference signal (SS) identifier, that is, if the CSI-RS identifier or SS identifier of the QCL type D of the CSI-RS changes, it is considered that the condition is met.
[0184] Optionally, the timer is defined by a protocol or configured by a network device. For example, the running time of the timer is defined by a protocol.
[0185] In step S2104, the terminal 101 reports CSI based on the activated CSI processing model.
[0186] In some embodiments, when the conditions are met, the terminal 101 will reset the accumulated CSI information, then obtain the compressed CSI according to the CSI processing model, and report the CSI according to the activated CSI reporting configuration information.
[0187] For example, in combination with CSI report configuration #1 and CSI report configuration #2 described in the preceding embodiments, if the network device 102 deactivates CSI report configuration #1 and subsequently activates CSI report configuration #2, the terminal 101 determines that the CSI resource identifier has changed and the conditions are met, resets the accumulated CSI information of the previous time unit temporarily stored in CSI-AI-model #1 to the default value, then measures the input CSI (or measured CSI) based on the CSI-RS in CSI resource configuration #2, compresses the measured CSI using the model, and reports the CSI according to CSI report configuration #2.
[0188] In some embodiments, after the network device 102 receives the information reported by the terminal 101, it can refer to Figure 1b and the description of related embodiments to process and restore the received information.
[0189] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", and "field" can be used interchangeably.
[0190] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.
[0191] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.
[0192] In some embodiments, the terms "radio", "wireless", "radio access network (RAN)", "access network (AN)", "RAN-based" and the like may be used interchangeably.
[0193] In some embodiments, terms such as "moment", "time point", "time", and "time position" can be replaced with each other, and terms such as "duration", "period", "time window", "window", and "time" can be replaced with each other.
[0194] In some embodiments, the terms "component carrier (CC)", "cell", "frequency carrier", "carrier frequency" and the like can be used interchangeably.
[0195] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.
[0196] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values (for example, comparison with a predetermined value), but is not limited thereto.
[0197] 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 after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the recipient to respond to the content sent.
[0198] The method involved in the embodiment of the present disclosure may include at least one of steps S2101 to S2104, such as the method including step S2103.
[0199] In some embodiments, at least one of steps S2101, S2102, and S2104 is optional, and one or more of these steps may be omitted or replaced in different embodiments.
[0200] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .
[0201] FIG3a is a schematic diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG3a, the embodiment of the present disclosure relates to a communication processing method, which is executed by terminal 101 and includes:
[0202] Step S3101, obtain configuration information.
[0203] In some embodiments, the implementation of step S3101 can refer to the optional implementation of step S2101 in Figure 2, and will not be repeated here.
[0204] Optionally, the terminal 101 may obtain configuration information from the network device 102 or other entities.
[0205] Step S3102: Acquire activation or deactivation signaling.
[0206] In some embodiments, the implementation of step S3102 can refer to the optional implementation of step S2102 in Figure 2, which will not be repeated here.
[0207] Optionally, the terminal 101 may obtain activation or deactivation signaling from the network device 102 or other entities.
[0208] Step S3103: Activate the CSI processing model when the conditions are met.
[0209] In some embodiments, the implementation of step S3103 can refer to the optional implementation of step S2103 in Figure 2, which will not be repeated here.
[0210] Step S3104: reporting CSI based on the activated CSI processing model.
[0211] In some embodiments, the implementation of step S3104 can refer to the optional implementation of step S2104 in Figure 2, which will not be repeated here.
[0212] The method involved in the embodiment of the present disclosure may include at least one of steps S3101 to S3104, such as the method including step S3103.
[0213] In some embodiments, at least one of steps S3101, S3102, and S3104 is optional, and one or more of these steps may be omitted or replaced in different embodiments.
[0214] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 a .
[0215] FIG3b is a schematic diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG3b, the embodiment of the present disclosure relates to a communication processing method, which is executed by terminal 101 and includes:
[0216] Step S3201, obtain configuration information.
[0217] In some embodiments, the implementation of step S3201 can refer to the optional implementation of step S2101 in Figure 2, which will not be repeated here.
[0218] Step S3202: activating the CSI processing model when conditions are met.
[0219] In some embodiments, the implementation of step S3202 can refer to the optional implementation of step S2103 in Figure 2, which will not be repeated here.
[0220] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 b .
[0221] FIG3c is a schematic diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG3c, the embodiment of the present disclosure relates to a communication processing method, which is executed by terminal 101 and includes:
[0222] Step S3301: Activate the CSI processing model when conditions are met.
[0223] In some embodiments, the implementation of step S3301 can refer to the optional implementation of step S2103 in Figure 2, and will not be repeated here.
[0224] Among them, the CSI processing model is an AI or ML-based model, which is used to perform CSI processing based on spatial domain information, frequency domain information and time domain information.
[0225] In some embodiments, activating the CSI processing model includes:
[0226] The accumulated CSI information in the CSI processing model is reset to a default value or an initial value; or, the accumulated CSI information is reset based on the terminal capability or terminal implementation.
[0227] Optionally, the accumulated CSI information is determined based on historical CSI obtained through multiple measurements.
[0228] In some embodiments, the condition is used to indicate a change in information associated with an input CSI of a CSI processing model, where the input CSI is obtained by the terminal based on downlink reference signal RS measurement.
[0229] In some embodiments, the condition includes at least one of the following:
[0230] Changes in the CSI reporting configuration flag corresponding to the CSI processing model;
[0231] The CSI resource identifier corresponding to the CSI processing model changes. The CSI resource identifier corresponds to the CSI reporting configuration identifier.
[0232] Changes in downlink RS information corresponding to the input CSI of the CSI processing model;
[0233] The duration during which the CSI processing model is not used exceeds the running duration of the timer.
[0234] In some embodiments, the method further comprises:
[0235] The terminal receives configuration information sent by the network device, where the configuration information includes a CSI reporting configuration identifier and a corresponding CSI resource identifier.
[0236] In some embodiments, the downlink RS information includes:
[0237] Downlink RS characteristic information;
[0238] Downlink RS status;
[0239] The characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information and space domain characteristic information, and the state includes an activated state or a deactivated state.
[0240] Optionally, the time domain characteristic information includes a period of a downlink RS;
[0241] The frequency domain characteristic information includes the frequency domain unit where the downlink RS is located;
[0242] The spatial characteristic information includes the RS identifier of the downlink RS quasi-co-location QCL.
[0243] In some embodiments, the timer is protocol defined or network device configured.
[0244] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3c.
[0245] FIG4a is a schematic diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG4a, the present disclosure embodiment relates to a communication processing method, which is executed by the network device 102 and includes:
[0246] Step S4101, sending configuration information.
[0247] In some embodiments, the implementation of step S4101 can refer to the optional implementation of step S2101 in Figure 2, which will not be repeated here.
[0248] Optionally, the network device 102 may send configuration information to the terminal 101 or other entities.
[0249] Step S4102: Send activation or deactivation signaling.
[0250] In some embodiments, the implementation of step S4102 can refer to the optional implementation of step S2102 in Figure 2, which will not be repeated here.
[0251] Optionally, the network device 102 may send activation or deactivation signaling to the terminal 101 or other entities.
[0252] Step S4103: Activate the CSI processing model when the conditions are met.
[0253] In some embodiments, the implementation of step S4103 can refer to the optional implementation of step S2103 in Figure 2, which will not be repeated here.
[0254] The method involved in the embodiment of the present disclosure may include at least one of steps S4101 to S4103, such as the method including step S4103.
[0255] In some embodiments, at least one of steps S4101 and S4102 is optional, and one or more of these steps may be omitted or replaced in different embodiments.
[0256] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 a .
[0257] FIG4b is a schematic diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG4b, the present disclosure embodiment relates to a communication processing method, which is executed by the network device 102 and includes:
[0258] Step S4201, sending configuration information.
[0259] In some embodiments, the implementation of step S4201 can refer to the optional implementation of step S2101 in Figure 2, which will not be repeated here.
[0260] Step S4202: Activate the CSI processing model when the conditions are met.
[0261] In some embodiments, the implementation of step S4202 can refer to the optional implementation of step S2103 in Figure 2, and will not be repeated here.
[0262] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 b .
[0263] FIG4c is a schematic diagram of a communication processing method according to an embodiment of the present disclosure. As shown in FIG4c, the embodiment of the present disclosure relates to a communication processing method, which is executed by the network device 102 and includes:
[0264] Step S4301: Activate the CSI processing model when conditions are met.
[0265] In some embodiments, the implementation of step S4301 can refer to the optional implementation of step S2103 in Figure 2, which will not be repeated here.
[0266] Among them, the CSI processing model is an AI or ML-based model, which is used to perform CSI processing based on spatial domain information, frequency domain information and time domain information.
[0267] In some embodiments, activating the CSI processing model includes:
[0268] Reset the accumulated CSI information in the CSI processing model to a default value or an initial value; or reset the accumulated CSI information according to the terminal capability.
[0269] Optionally, the accumulated CSI information is determined according to historical CSI obtained by the terminal through multiple measurements.
[0270] In some embodiments, the condition is used to indicate a change in information associated with an input CSI of a CSI processing model, where the input CSI is obtained by the terminal based on downlink RS measurement.
[0271] In some embodiments, the condition includes at least one of the following:
[0272] Changes in the CSI reporting configuration flag corresponding to the CSI processing model;
[0273] The CSI resource identifier corresponding to the CSI processing model changes. The CSI resource identifier corresponds to the CSI reporting configuration identifier.
[0274] Changes in downlink RS information corresponding to the input CSI of the CSI processing model;
[0275] The duration during which the CSI processing model is not used exceeds the running duration of the timer.
[0276] In some embodiments, the method further comprises:
[0277] The network device sends configuration information to the terminal, where the configuration information includes a CSI reporting configuration identifier and a corresponding CSI resource identifier.
[0278] In some embodiments, the downlink RS information includes:
[0279] Downlink RS characteristic information;
[0280] Downlink RS status;
[0281] The characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information and space domain characteristic information, and the state includes an activated state or a deactivated state.
[0282] Optionally, the time domain characteristic information includes a period of a downlink RS;
[0283] The frequency domain characteristic information includes the frequency domain unit where the downlink RS is located;
[0284] The spatial characteristics information includes the RS identifier of the downlink RS QCL.
[0285] In some embodiments, the timer is protocol defined or network device configured.
[0286] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4c.
[0287] The method disclosed herein can solve the problem of reusing a model when the UE model remains unchanged but the historical information changes. To facilitate understanding of the embodiments of the present disclosure, some specific examples are listed below:
[0288] Example 1:
[0289] The UE reactivates the AI CSI sft compression model according to predefined rules or events.
[0290] Example 2:
[0291] Reactivating the AI CSI sft compression model at least includes resetting the accumulated CSI information of the previous time unit temporarily stored in the model.
[0292] Example 3:
[0293] The reset behavior can be to reset to all 0s, or to reset to a specific initial value.
[0294] Example 4:
[0295] The reset behavior may depend on the UE implementation.
[0296] Example 5:
[0297] The predefined rules or events include at least:
[0298] The associated CSI resource ID of the CSI report configuration ID currently used in this model has changed;
[0299] The CSI report configuration ID used by this model has changed;
[0300] The CSI-RS characteristics corresponding to the CSI as input to the model change, including time domain characteristics such as period; frequency domain characteristics such as the frequency domain unit (sub-band, BWP) where the CSI-RS is located; and spatial domain characteristics such as the CSI-RS ID or SS-ID corresponding to the QCL type D of the CSI-RS.
[0301] The CSI-RS corresponding to the CSI as input to the model is activated or deactivated;
[0302] According to the timer configured or predefined by the base station, the model has not been used for a period exceeding the length of the timer.
[0303] Optionally, the commonality of the above is that the CSI characteristics as input change, and the CSI as input is obtained by the UE through measurement of the CSI-RS configured by the base station.
[0304] Example 6:
[0305] The predefined rules or events are known to both the UE and the gNB. When the UE performs model reactivation on the encoder side, the base station also performs model reactivation on the decoder side.
[0306] Example 7:
[0307] The method of this example may include the following steps: Step 1 to Step 3:
[0308] Step 1. The base station configures CSI report configuration #1 for the UE, which includes CSI resource configuration and CSI-AI-model configuration. The CSI resource configuration is used to indicate the measurement resource information used for the CSI reporting, such as CSI-RS information. Assuming CSI resource configuration #1, the CSI report configuration #1 is semi-statically reported. The CSI-AI-model configuration indicates the AI model information used for the CSI report, such as CSI-AI-model #1. The base station configures CSI report configuration #2 for the UE, which includes CSI resource configuration #2 and CSI-AI-model #1. CSI report configuration #2 is semi-statically reported.
[0309] Step 2: The base station uses MAC CE to activate CSI reporting configuration #1 in slot #X. The UE uses CSI-AI-model #1 to perform CSI compression and reports CSI based on the compression result. After a period of time, the base station uses MAC CE to deactivate CSI reporting configuration #1 in slot #Y.
[0310] Step 3: The base station activates CSI report configuration #2 using MAC CE in slot #Z. The UE first resets the accumulated CSI information of the previous time unit temporarily stored in the CSI-AI-model #1 model to the default value, and then uses the model to compress and report the CSI measured based on the RS in CSI resource configuration #2.
[0311] Example 8:
[0312] The method of this example may include the following steps: Step 1 to Step 3:
[0313] Step 1. The base station configures CSI report configuration #1 for the UE, which includes CSI resource configuration and CSI-AI-model configuration. The CSI resource configuration is used to indicate the measurement resource information used for the CSI report, such as CSI-RS information. Assuming CSI resource configuration #1, the CSI report configuration #1 is semi-statically reported. The CSI-AI-model configuration indicates the AI model information used for the CSI report, such as CSI-AI-model #1.
[0314] The base station configures timer T1 = 200ms for the UE. In one example, the timer is for CSI-AI-model #1. In another example, the timer is universal and applicable to both CSI-AI-model #1 and other models.
[0315] Step 2. The base station uses MAC CE to activate CSI reporting configuration #1 in slot #X. The UE uses CSI-AI-model #1 to perform CSI compression and reports CSI based on the compression result. After a period of time, the base station uses MAC CE to deactivate CSI reporting configuration #1 in slot #Y.
[0316] Step 3. After the deactivation signaling sent by the base station in slot #Y takes effect, the UE stops using CSI-AI-model #1. The UE starts T1 and does not use CSI-AI-model #1 until T1 expires. The UE resets the accumulated CSI info of the previous time unit temporarily stored in CSI-AI-model #1 to the default value.
[0317] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.
[0318] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.
[0319] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution 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 relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration 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. In addition, 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), a deep learning processing unit (DPU), etc.
[0320] Figure 5a is a schematic diagram of the structure of a terminal proposed in an embodiment of the present disclosure. As shown in Figure 5a, terminal 5100 may include at least one of a transceiver module 5101 and a processing module 5102. In some embodiments, processing module 5102 is configured to activate a CSI processing model when conditions are met; the CSI processing model is an AI or ML-based model that performs CSI processing based on spatial, frequency, and time domain information.
[0321] Optionally, the transceiver module 5101 is configured to execute at least one of the communication steps of sending and / or receiving performed by the terminal 101 in any of the above methods, which are not described in detail here. Optionally, the processing module 5102 is configured to execute at least one of the other steps performed by the terminal 101 in any of the above methods, which are not described in detail here.
[0322] Figure 5b is a schematic diagram of the terminal structure proposed in an embodiment of the present disclosure. As shown in Figure 5b, network device 5200 may include at least one of a transceiver module 5201 and a processing module 5202. In some embodiments, processing module 5202 is configured to activate a CSI processing model when conditions are met; the CSI processing model is an AI or ML-based model that performs CSI processing based on spatial, frequency, and time domain information.
[0323] Optionally, the transceiver module 5201 is configured to execute at least one of the communication steps of sending and / or receiving performed by the network device 102 in any of the above methods, which are not described in detail here. Optionally, the processing module 5202 is configured to execute at least one of the other steps performed by the network device 102 in any of the above methods, which are not described in detail here.
[0324] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.
[0325] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.
[0326] Figure 6a is a schematic diagram of the structure of a communication device 6100 proposed in an embodiment of the present disclosure. Communication device 6100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device implementing any of the above methods, or a chip, a chip system, or a processor that supports a terminal implementing any of the above methods. Communication device 6100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.
[0327] As shown in Figure 6a, the communication device 6100 includes one or more processors 6101. The processor 6101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process the communication protocol and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. Optionally, the communication device 6100 is used to perform any of the above methods. Optionally, one or more processors 6101 are used to call instructions to enable the communication device 6100 to perform any of the above methods.
[0328] 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, such as sending and / or receiving, in the above-described method, and the processor 6101 performs at least one of the other steps. In an optional embodiment, the transceiver may include a receiver and / or a transmitter, and the receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, interface circuit, and interface may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.
[0329] In some embodiments, the communication device 6100 further includes one or more memories 6103 for storing data. Alternatively, all or part of the memories 6103 may be located outside the communication device 6100. In alternative embodiments, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuits 6104 are connected to the memories 6103 and may be configured to receive data from the memories 6103 or other devices, or to send data to the memories 6103 or other devices. For example, the interface circuits 6104 may read data stored in the memories 6103 and send the data to the processor 6101.
[0330] The communication device 6100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 6100 described in the present 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 an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.
[0331] FIG6b is a schematic diagram of the structure of a chip 6200 according to an embodiment of the present disclosure. If the communication device 6100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 6200 shown in FIG6b , but the present disclosure is not limited thereto.
[0332] The chip 6200 includes one or more processors 6201. The chip 6200 is configured to execute any of the above methods.
[0333] In some embodiments, chip 6200 further includes one or more interface circuits 6202. Terms such as interface circuit, interface, and transceiver pins may be used interchangeably. In some embodiments, chip 6200 further includes one or more memories 6203 for storing data. Alternatively, all or part of memory 6203 may be located external to chip 6200. Optionally, interface circuit 6202 is connected to memory 6203 and may be used to receive data from memory 6203 or other devices, or may be used to send data to memory 6203 or other devices. For example, interface circuit 6202 may read data stored in memory 6203 and send the data to processor 6201.
[0334] In some embodiments, the interface circuit 6202 performs at least one of the communication steps, such as sending and / or receiving, in the above-described method. For example, the interface circuit 6202 performing the communication steps, such as sending and / or receiving, in the above-described method means that the interface circuit 6202 performs data exchange 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 the other steps.
[0335] The modules and / or devices described in various embodiments, such as virtual devices, physical devices, and chips, can be arbitrarily combined or separated according to circumstances. Optionally, some or all steps can also be performed collaboratively by multiple modules and / or devices, which is not limited here.
[0336] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 6100, the communication device 6100 executes 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 is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.
[0337] The present disclosure also provides a program product, which, when executed by the communication device 6100, enables the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.
[0338] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods. Industrial Applicability
[0339] The terminal determines whether to activate the CSI processing model at an appropriate time based on the conditions and adjusts the application mode of the model in a timely manner to ensure the accuracy of the application of the CSI processing model.
Claims
1. A communication processing method, the method comprises: The terminal activates a channel state information (CSI) processing model when a condition is met; wherein, the CSI processing model is a model based on artificial intelligence (AI) or machine learning (ML), and is used to perform CSI processing according to spatial domain information, frequency domain information, and time domain information.
2. The method according to claim 1, wherein, The condition is used to indicate a change in information associated with the input CSI of the CSI processing model, wherein the input CSI is obtained by the terminal based on measurement of a downlink reference signal (RS).
3. The method according to claim 1 or 2, wherein, The condition includes at least one of the following: A change in the CSI reporting configuration identifier corresponding to the CSI processing model; A change in the CSI resource identifier corresponding to the CSI processing model, and the CSI resource identifier corresponds to the CSI reporting configuration identifier; A change in the downlink RS information corresponding to the input CSI of the CSI processing model; The duration of not using the CSI processing model exceeds the running duration of a timer.
4. The method according to claim 3, wherein, The method further comprises: The terminal receives configuration information sent by a network device, and the configuration information includes the CSI reporting configuration identifier and the corresponding CSI resource identifier.
5. The method according to claim 3, wherein, The downlink RS information includes: Characteristic information of the downlink RS; The state of the downlink RS; wherein, the characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information, and spatial domain characteristic information, and the state includes an activated state or a deactivated state.
6. The method according to claim 5, wherein, The time domain characteristic information includes the period of the downlink RS; The frequency domain characteristic information includes the frequency domain unit where the downlink RS is located; The spatial domain characteristic information includes the RS identifier quasi-co-located (QCL) with the downlink RS.
7. The method according to claim 3, wherein, The timer is defined by a protocol or configured by a network device.
8. The method according to any one of claims 1 to 7, wherein, The activation of the CSI processing model includes: Resetting the accumulated CSI information in the CSI processing model to a default value or an initial value; or, resetting the accumulated CSI information based on the terminal capabilities or terminal implementation.
9. The method according to claim 8, wherein, The accumulated CSI information is determined according to historical CSI obtained from multiple measurements.
10. A communication processing method, the method comprises: The network device activates a CSI processing model when a condition is met; wherein, the CSI processing model is a model based on AI or ML, and is used to perform CSI processing according to spatial domain information, frequency domain information, and time domain information.
11. The method according to claim 10, wherein, The condition is used to indicate a change in information associated with the input CSI of the CSI processing model, wherein the input CSI is obtained by the terminal based on measurement of a downlink RS.
12. The method according to claim 10 or 11, wherein, The condition includes at least one of the following: A change in the CSI reporting configuration identifier corresponding to the CSI processing model; A change in the CSI resource identifier corresponding to the CSI processing model, where the CSI resource identifier corresponds to the CSI reporting configuration identifier; A change in the downlink RS information corresponding to the input CSI of the CSI processing model; The duration of not using the CSI processing model exceeds the running duration of the timer.
13. The method according to claim 12, wherein, the method further includes: The network device sends configuration information to the terminal, and the configuration information includes the CSI reporting configuration identifier and the corresponding CSI resource identifier.
14. The method according to claim 12, wherein, the downlink RS information includes: Characteristic information of the downlink RS; The state of the downlink RS; wherein the characteristic information includes at least one of time domain characteristic information, frequency domain characteristic information, and spatial domain characteristic information, and the state includes an activated state or a deactivated state.
15. The method according to claim 14, wherein, the time domain characteristic information includes the period of the downlink RS; the frequency domain characteristic information includes the frequency domain unit where the downlink RS is located; the spatial domain characteristic information includes the RS identifier QCL with the downlink RS.
16. The method according to claim 12, wherein, the timer is defined by the protocol or configured by the network device.
17. The method according to any one of claims 10 to 16, wherein, activating the CSI processing model includes: Resetting the cumulative CSI information in the CSI processing model to a default value or an initial value; or resetting the cumulative CSI information according to the terminal capabilities.
18. The method according to claim 17, wherein, the cumulative CSI information is determined based on the historical CSI obtained from multiple measurements of the terminal.
19. A terminal, including: A processing module for activating a CSI processing model when conditions are met; wherein the CSI processing model is an AI - or ML - based model for performing CSI processing based on spatial domain information, frequency domain information, and time domain information.
20. A network device, including: A processing module for activating a CSI processing model when conditions are met; wherein the CSI processing model is an AI - or ML - based model for performing CSI processing based on spatial domain information, frequency domain information, and time domain information.
21. A terminal, including: One or more processors; wherein the terminal is configured to execute the method according to any one of claims 1 to 9.
22. A network device, including: One or more processors; wherein the network device is configured to execute the method according to any one of claims 10 to 18.
23. A communication system, including a terminal and a network device, wherein, the terminal is configured to implement the method according to any one of claims 1 to 9; the network device is configured to implement the method according to any one of claims 10 to 18.
24. A storage medium, the storage medium stores instructions, wherein, When the instruction runs on a communication device, the communication device is caused to execute the method according to any one of claims 1 to 9 or any one of claims 10 to 18.
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