Sensing task processing method and device

Abstract

The invention provides a sensing task processing method and device, and relates to the technical field of communication, according to the sensing task processing method provided by the embodiment of the invention, a first network element can receive a sensing service request sent by terminal equipment UE through an access and mobility management function AMF, and the sensing service request comprises sensing service information of a sensing task; first sensing capability information of the sensing node is obtained, the first sensing capability information comprises a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a sensing service feature in the sensing service information in feature type; determining at least one target sensing node in the sensing nodes according to the first sensing capability information; and calling at least one target sensing node to execute the sensing task. The invention provides a method for reporting the sensing capability in the 6G core network, so that the core network can accurately and efficiently select the sensing node to provide the sensing service for the specific sensing task.

Description

Perception task processing method and device Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to a method and device for processing a perception task. Background Art

[0002] Sixth-generation communications (6G) has become a global research hotspot. A variety of new vertical application scenarios, such as smart cities, smart transportation, intelligent manufacturing, and smart homes, will emerge in the 6G era. These applications will require communication equipment and terminals to be able to perceive the physical world and mirror the digital world. The deep integration of communication systems with multiple systems, including perception and artificial intelligence, has become a new trend in technological development.

[0003] Currently, there is no adapted method for reporting perception capabilities in the 6G network architecture, which makes it impossible for the core network to accurately and efficiently select perception nodes to provide perception services for specific perception tasks.

[0004] Summary of the Invention

[0005] The present disclosure provides a perception task processing method and device, which enables the core network to accurately and efficiently select perception nodes to provide perception services for specific perception tasks by providing a reporting method for perception capabilities in a 6G core network.

[0006] A first aspect of the present disclosure provides a method for processing a sensing task, the method being applied to a first network element, the method including:

[0007] Receiving a sensing service request sent by a terminal device UE through an access and mobility management function AMF, where the sensing service request includes sensing service information of a sensing task;

[0008] Obtaining first sensing capability information of a sensing node, where the sensing node includes at least one of a plurality of UEs and a plurality of base stations, the first sensing capability information including a first sensing capability feature of the sensing node, where the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information;

[0009] determining at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0010] Call the at least one target sensing node to perform the sensing task.

[0011] A second aspect of the present disclosure provides a method for processing a sensing task, which is applied to a sensing node and includes:

[0012] Sending the sensing capability information to the core network so that the first network element determines at least one target sensing node among the sensing nodes according to the sensing capability information and calls the at least one target sensing node to perform a sensing task.

[0013] A third aspect of the present disclosure provides a method for processing a sensing task, which is applied to a core network side and includes:

[0014] Receiving a sensing service request sent by a terminal device UE, where the sensing service request includes sensing service information of a sensing task;

[0015] Obtaining first sensing capability information of a sensing node, where the sensing node includes at least one of a plurality of UEs and a plurality of base stations, the first sensing capability information including a first sensing capability feature of the sensing node, where the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information;

[0016] determining at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0017] Call the at least one target perception node to execute the perception task in a distributed manner.

[0018] A fourth aspect of the present disclosure provides a method for processing a perception task, the method comprising:

[0019] The first network element receives a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task;

[0020] The first network element sends the perception service information to the perception node through the AMF;

[0021] The first network element receives, by the sensing node, first sensing capability information sent by the sensing node, wherein the first sensing capability information is sent by the sensing node to the first network element through the AMF under the task triggering of the sensing service information, wherein the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of the sensing service feature in the sensing service information;

[0022] The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0023] The first network element calls the at least one target sensing node to perform the sensing task.

[0024] A fifth aspect of the present disclosure provides a method for processing a perception task, the method comprising:

[0025] The first network element receives a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task;

[0026] The second network element receives, through the AMF, second sensing capability information sent by the sensing node, wherein the second sensing capability information is sent by the sensing node when a trigger condition is met, and the second sensing capability information includes all sensing capability characteristics of the sensing node;

[0027] The first network element obtains the second sensing capability information from the second network element, and determines, from the second sensing capability information, first sensing capability information that matches the sensing service information, wherein the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information;

[0028] The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0029] The first network element calls the at least one target sensing node to perform the sensing task.

[0030] A sixth aspect of the present disclosure provides a sensing task processing device, which is applied to a first network element and includes:

[0031] A receiving module is configured to receive a sensing service request sent by a terminal device UE through an access and mobility management function AMF, where the sensing service request includes sensing service information of a sensing task;

[0032] a processing module, configured to obtain first sensing capability information of a sensing node, wherein the sensing node includes at least one of a plurality of UEs and a plurality of base stations, the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information;

[0033] a processing module, configured to determine at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0034] A processing module is used to call the at least one target perception node to perform the perception task.

[0035] A seventh aspect of the present disclosure provides a sensing task processing device, which is applied to a sensing node and includes:

[0036] The sending module is used to send perception capability information to the core network, so that the first network element determines at least one target perception node among the perception nodes according to the perception capability information, and calls the at least one target perception node to perform the perception task.

[0037] An eighth aspect of the present disclosure provides a perception task processing device, which is applied to a core network side and includes:

[0038] A receiving module, configured to receive a sensing service request sent by a terminal device UE, wherein the sensing service request includes sensing service information of a sensing task;

[0039] a processing module, configured to obtain first sensing capability information of a sensing node, wherein the sensing node includes at least one of a plurality of UEs and a plurality of base stations, the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information;

[0040] a processing module, configured to determine at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0041] A processing module is used to call the at least one target perception node to perform the perception task in a distributed manner.

[0042] A ninth aspect of the present disclosure provides a perception task processing device, the device comprising:

[0043] A receiving module is configured to receive, by a first network element, a sensing service request sent by a terminal device UE through an access and mobility management function AMF, where the sensing service request includes sensing service information of a sensing task;

[0044] A sending module, configured for the first network element to send the perception service information to the perception node through the AMF;

[0045] a receiving module, configured for the first network element to receive first sensing capability information sent by the sensing node, wherein the first sensing capability information is sent by the sensing node to the first network element through the AMF under the task triggering of the sensing service information, wherein the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as the feature type of the sensing service feature in the sensing service information;

[0046] A processing module, configured for the first network element to determine at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0047] A processing module is used for the first network element to call the at least one target perception node to perform the perception task.

[0048] A tenth aspect of the present disclosure provides a perception task processing device, the device comprising:

[0049] The first network element receives a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task;

[0050] The second network element receives, through the AMF, second sensing capability information sent by the sensing node, wherein the second sensing capability information is sent by the sensing node when a trigger condition is met, and the second sensing capability information includes all sensing capability characteristics of the sensing node;

[0051] The first network element obtains the second sensing capability information from the second network element, and determines, from the second sensing capability information, first sensing capability information that matches the sensing service information, wherein the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information;

[0052] The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0053] The first network element calls the at least one target sensing node to perform the sensing task.

[0054] An eleventh embodiment of the present disclosure provides a communication device, which includes: a transceiver; a memory; and a processor, which is connected to the transceiver and the memory respectively, and is configured to control the wireless signal reception and transmission of the transceiver by executing computer-executable instructions on the memory, and can implement the method of the first embodiment of the present disclosure.

[0055] The twelfth aspect embodiment of the present disclosure provides a core network device, which includes: a transceiver; a memory; a processor, which is connected to the transceiver and the memory respectively, and is configured to control the wireless signal reception and transmission of the transceiver by executing computer-executable instructions on the memory, and can implement the method of the third aspect embodiment of the present disclosure.

[0056] The thirteenth aspect embodiment of the present disclosure provides a communication system, which includes: a transceiver; a memory; and a processor, which is connected to the transceiver and the memory respectively, and is configured to control the wireless signal reception and transmission of the transceiver by executing computer-executable instructions on the memory, and can implement the method of the fourth aspect embodiment or the fifth aspect embodiment of the present disclosure.

[0057] The embodiments of the present disclosure provide a method and apparatus for processing a perception task, wherein a first network element can obtain first perception capability information of a perception node after receiving a perception service request sent by a terminal device UE through an access and mobility management function AMF; determine at least one target perception node among the perception nodes based on the first perception capability information; and call the at least one target perception node to execute the perception task included in the perception service request. The technical solution of the present disclosure allows the first network element to obtain the first perception capability information of the perception node during the perception task processing, and then accurately and efficiently select the corresponding perception node providing the perception service for a specific perception task based on the first perception capability information, which can meet the new services that may appear in the 6G era and the high-quality requirements for data and computing power. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0059] FIG1 is a flow chart of a method for processing a perception task according to an embodiment of the present disclosure;

[0060] FIG2 is a flow chart of a method for processing a perception task according to an embodiment of the present disclosure;

[0061] FIG3 is a flow chart of a method for processing a perception task according to an embodiment of the present disclosure;

[0062] FIG4 is a flow chart of a method for processing a perception task according to an embodiment of the present disclosure;

[0063] FIG5 is a diagram of a 6G distributed computing and storage separation network architecture according to an embodiment of the present disclosure;

[0064] FIG6 is a flow chart of a method for processing a perception task according to an embodiment of the present disclosure;

[0065] FIG7 is a flow chart of a method for processing a perception task according to an embodiment of the present disclosure;

[0066] FIG8 is a timing diagram of a method for processing a perception task according to an embodiment of the present disclosure;

[0067] FIG9 is a timing diagram of a method for processing a perception task according to an embodiment of the present disclosure;

[0068] FIG10 is a block diagram of a perception task processing device according to an embodiment of the present disclosure;

[0069] FIG11 is a block diagram of a perception task processing device according to an embodiment of the present disclosure;

[0070] FIG12 is a block diagram of a perception task processing device according to an embodiment of the present disclosure;

[0071] FIG13 is a block diagram of a perception task processing device according to an embodiment of the present disclosure;

[0072] FIG14 is a block diagram of a perception task processing device according to an embodiment of the present disclosure;

[0073] FIG15 is a schematic structural diagram of a communication device according to an embodiment of the present disclosure;

[0074] FIG16 is a schematic structural diagram of a chip provided by an embodiment of the present disclosure;

[0075] FIG17 is a timing diagram of reporting sensing capability information provided by an embodiment of the present disclosure;

[0076] FIG18 is a timing diagram of reporting perception capability information provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0077] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present disclosure, and should not be construed as limiting the present disclosure.

[0078] The embodiments of the present application are described in detail below. Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application. It should be noted that the embodiments of the present application and the features in the embodiments may be combined with each other unless there is a conflict.

[0079] The terms used in the embodiments of this application are for the purpose of describing specific embodiments only and are not intended to limit the embodiments of this application. The singular forms "a" and "the" used in the embodiments of this application and the appended claims are also intended to include plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0080] It should be understood that although the terms first, second, third, etc. may be used to describe various information in the embodiments of the present application, these information should not be limited to these terms. These terms are only used to distinguish information of the same type from each other. For example, without departing from the scope of the embodiments of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0081] Currently, there is no adapted method for reporting perception capabilities in the 6G network architecture, which makes it impossible for the core network to accurately and efficiently select perception nodes to provide perception services for specific perception tasks.

[0082] To this end, the present disclosure proposes a perception task processing method and device, in which the core network can obtain the perception capability information reported by each perception node, and then select the perception node corresponding to the perception task based on the perception capability information, which can fully utilize the computing power value of the perception node, meet the needs of specific perception tasks, and provide users with in-depth perception information services.

[0083] The task processing method and device provided in this application are described in detail below with reference to the accompanying drawings.

[0084] In the present disclosure, the first network element, the second network element and the AMF are all network elements of the core network, that is, specific functional modules in the core network.

[0085] Figure 1 shows a flow chart of a method for processing a sensing task according to an embodiment of the present disclosure. As shown in Figure 1 , the method is applied to a first network element, which may be a scheduler network element in a 6G core network. The embodiment may include the following steps.

[0086] Step 101: Receive a perception service request sent by a terminal device UE through an access and mobility management function AMF, where the perception service request includes perception service information of a perception task.

[0087] In a specific application scenario, the first network element may receive a perception service request transmitted by an access and mobility management function (AMF). The perception service request is sent by a user equipment (UE) to the AMF via a radio access network (RAN). It should be noted that the UE cannot communicate directly with the core network and needs to communicate with the AMF in the core network via the RAN. The perception service request may carry perception service information of a perception task, which may be an image processing task, a speech recognition task, a model training task, a data cleaning task, etc., which are not specifically limited here. The perception service information may include a subscriber permanent identifier (SUPI), a data network name (DNN), user location information, access type, area of ​​interest (AoI), and perception service requirements, such as service type, perception data type, perception distance, perception accuracy, perception resolution, and perception latency, which are not specifically limited here.

[0088] Step 102: Acquire first sensing capability information of the sensing node, where the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information.

[0089] The sensing node may include at least one of multiple UEs and multiple base stations, or may also include other service nodes such as an application function (AF), which is not specifically limited here. It should be noted that in the following embodiment steps of the present disclosure, the technical solution of the present disclosure is described by taking the sensing node including a base station, a UE, and an application function AF as an example, but this does not constitute a specific limitation; the sensing service characteristics are characteristics that the sensing node needs to have when performing the sensing task, such as the sensing distance needs to reach a preset distance value, or the sensing distance needs to be within a preset range, the sensing accuracy needs to reach a preset accuracy value, the sensing resolution needs to reach a preset resolution value, and the sensing delay needs to be less than a preset delay value; the first sensing capability characteristic is the same as the characteristic type of the sensing service characteristic, and is used to reflect the sensing capability of the sensing node under the corresponding characteristic type of the sensing service characteristic, such as the sensing range under the sensing distance characteristic, the sensing accuracy under the sensing accuracy characteristic, the sensing resolution under the sensing resolution characteristic, and the delay under the sensing delay characteristic. The specific characteristic type can be set according to the actual application scenario and is not limited here.

[0090] Step 103: Determine at least one target sensing node among the sensing nodes based on the first sensing capability information.

[0091] For the embodiment of the present disclosure, after receiving the first sensing capability information sent by the sensing node, the first network element may determine whether the sensing node is selected as the target sensing node for performing sensing measurement based on the first sensing capability information, and further determine at least one target sensing node among the sensing nodes so as to call the at least one target sensing node to perform the sensing task. As a possible implementation method, the first network element may calculate the feature similarity between the first sensing capability feature in the first sensing capability information and the sensing service feature in the sensing service information, and determine the sensing node whose corresponding feature similarity is greater than a preset threshold as the target sensing node for performing the sensing task. The preset threshold is a value greater than 0 and less than 1. The closer the value of the preset threshold is to 1, the higher the matching degree between the selected target sensing node and the sensing capability requirement corresponding to the sensing task. The specific value of the preset threshold can be set according to the actual application scenario and is not specifically limited here.

[0092] Step 104: Call at least one target perception node to perform the perception task.

[0093] In one possible implementation of the disclosed embodiments, upon determining a target sensing node, the first network element may send information such as the level of sensing measurement configuration parameters corresponding to the sensing task to the AMF, which then forwards this information to the target sensing node. The target sensing node may perform the sensing task based on the level of sensing measurement configuration parameters and other information. The level of sensing measurement configuration parameters may be sensing service parameters under specific sensing service characteristics, such as sensing distance, sensing accuracy, sensing resolution, sensing latency parameters, and specific sensing actions to be performed.

[0094] For the embodiments of the present disclosure, as a possible implementation method, when multiple target perception nodes are determined, the first network element may divide the perception task into multiple perception subtasks distributedly executed by the multiple target perception nodes based on the perception service information and the first perception capability information corresponding to the target perception node. The first network element may send information such as the magnitude of the perception measurement configuration parameter corresponding to the perception subtask to the AMF, and the AMF sends the information down to the corresponding target perception node. The target perception node may execute the perception subtask based on information such as the magnitude of the perception measurement configuration parameter. The task execution results of multiple perception subtasks constitute the task execution result of the perception task. Among them, the perception subtask is a partial perception task in the perception task, and multiple perception subtasks constitute a complete perception task. The information such as the magnitude of the perception measurement configuration parameter corresponding to each perception subtask may be the same or different, and no specific limitation is made here.

[0095] The multiple perception subtasks may include at least two of the following: a first perception subtask performed by a base station, the first perception subtask being a perception subtask adapted to first perception capability information such as the base station's perception service area and perception service type; a second perception subtask performed by at least one target UE among multiple UEs, the second perception subtask being a perception subtask adapted to first perception capability information such as the UE's perception service area and perception service type; and a third perception subtask performed by an application function AF, the third perception subtask being a perception subtask adapted to first perception capability information such as the AF's perception service area and perception service type. AF is a provider of perception data, including devices such as applications (APPs) and third-party cameras. By dividing the perception task into multiple perception subtasks and executing the multiple perception subtasks simultaneously and in a distributed manner, the perception functions of perception nodes such as UE, base station, and third-party AF on the environment and surrounding objects are utilized to obtain perception information such as distance, direction, and speed. This collaborative working method can improve the execution efficiency of perception tasks, allowing perception nodes to fully utilize their computing power value and widely participate in calculation and processing, thereby effectively sharing the task pressure of perception services. It can also meet the needs of specific perception tasks to a certain extent and reduce privacy and security risks.

[0096] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the first network element can obtain the first perception capability information of the perception node after receiving the perception service request sent by the terminal device UE through the access and mobility management function AMF; determine at least one target perception node in the perception node based on the first perception capability information; and call at least one target perception node to execute the perception task included in the perception service request. The technical solution in the present disclosure allows the first network element to obtain the first perception capability information of the perception node during the perception task processing, and then accurately and efficiently select the corresponding perception node providing perception service for a specific perception task based on the first perception capability information, which can meet the new services that may appear in the 6G era and the high-quality requirements for data and computing power.

[0097] Figure 2 shows a flow chart of a method for processing a sensing task according to an embodiment of the present disclosure. As shown in Figure 2 , the method is applied to a first network element and may include the following steps.

[0098] Step 201: Receive a perception service request sent by a terminal device UE through an access and mobility management function AMF, where the perception service request carries perception service information of a perception task.

[0099] For the embodiment of the present disclosure, the specific implementation process can be found in the relevant description of step 101 of the embodiment, which will not be repeated here.

[0100] Step 202: Obtain first perception capability information of the perception node.

[0101] For the embodiment of the present disclosure, when the first network element obtains the first sensing capability information of the sensing node:

[0102] As a possible implementation method, the perception node can determine part of the perception capability information (i.e., the first perception capability information) of the same feature type as the corresponding feature of the perception service feature based on the perception service information, and then report the corresponding first perception capability information to the AMF, and the AMF sends the first perception capability information to the first network element. Accordingly, the first network element can receive the first perception capability information sent by the perception node. Specifically, the first network element can send the perception service information to the perception node through the AMF, and receive the first perception capability information that matches the perception service information and is sent by the perception node through the AMF under the task triggering of the perception service information;

[0103] As a possible implementation method, a corresponding storage network element, i.e., a second network element (Storage network element), may be set in the core network to store the second perception capability information of each perception node. The second perception capability information includes all perception capability characteristics of the perception node. Under certain trigger conditions, the perception node may actively send all perception capability information (i.e., the second perception capability information) to the second network element in the core network. After receiving the second perception capability information actively sent by the perception node through the AMF, the second network element may update the second perception capability information corresponding to the perception node stored in the core network. The first network element may obtain the second perception capability information from the second network element.

[0104] The triggering conditions include at least one of the following: the sensing node completes initialization; the second sensing capability information transmission period reaches; or the sensing node's sensing capability changes. In a specific application scenario, as a possible implementation, upon completing initialization, the sensing node may transmit the second sensing capability information to the second network element via the AMF. As a possible implementation, the sensing node may periodically transmit the second sensing capability information to the second network element via the AMF. As a possible implementation, upon a sensing capability change, the sensing node may transmit updated second sensing capability information to the second network element via the AMF. Initialization may correspond to the initial state of accessing the core network, such as powering on the sensing node, a change in the sensing node's sensing area, or initial registration of the sensing node with the core network. When the sensing node periodically reports, the reporting period may be set to 12 hours or 24 hours, depending on the actual application scenario. A sensing capability change may include updating the sensing capability sharing configuration (such as enabling the sensing capability sharing permission), a sensing node failure, a hardware change, or other conditions that may cause a sensing capability change, which are not specifically limited here.

[0105] Given that the second perception capability information contains all the perception capability characteristics possessed by the perception node, in order to determine whether the perception node is suitable for performing the perception task, the first network element may extract the first perception capability information corresponding to the perception capability characteristics and the same feature type as the perception service characteristics from the second perception capability information. Specifically, when the first network element determines the first perception capability information that matches the perception service information in the second perception capability information actively sent by the perception node, the embodiment steps may include: the first network element determines, in the second perception capability information actively sent by the perception node, the second perception capability characteristics of the same feature type as the corresponding feature type of the perception service characteristics as the first perception capability information. Accordingly, after receiving the second perception capability information actively sent by the perception node through the AMF, the first network element may also update the second perception capability information corresponding to the perception node stored in the core network.

[0106] Among them, the perception service characteristics are the characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, and the perception delay needs to be less than a preset delay value, etc.; the second perception capability characteristic is the same as the feature type of the perception service characteristic, and is used to reflect the size of the perception capability of the perception node under the corresponding feature type of the perception service characteristic, such as the perception range under the perception distance characteristic, the perception accuracy size under the perception accuracy characteristic, the perception resolution size under the perception resolution characteristic, and the delay size under the perception delay characteristic, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0107] As a possible implementation method, the first network element may receive first perception capability information that matches the perception service information and is sent by the perception node through the AMF under the task triggering of the perception service information, and obtain second perception capability information actively sent by the perception node in the second network element. The first network element then comprehensively determines the first perception capability information of the perception node based on the first perception capability information and the second perception capability information. When the first network element comprehensively determines the first perception capability information of the perception node based on the first perception capability information and the second perception capability information, as a possible implementation method, the information reception time of the first perception capability information and the second perception capability information may be compared, and the first perception capability information or the second perception capability information whose corresponding information reception time is closest to the current time may be used as the most accurate perception capability information of the perception node at the current moment, and based on the perception capability information, it is determined whether the perception node is suitable for performing the perception task.

[0108] Step 203: Determine at least one target sensing node among the sensing nodes based on the first sensing capability information.

[0109] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 103 of the embodiment, which will not be repeated here.

[0110] Step 204: Divide the sensing task into at least one sensing subtask corresponding to at least one target sensing node, and send the sensing subtask to the corresponding target sensing node through the AMF.

[0111] For the embodiments of the present disclosure, the first network element may divide the perception task into multiple perception subtasks corresponding to multiple target perception nodes based on the perception service information and the first perception capability information corresponding to the target perception node, and call multiple target perception nodes to distributely execute the multiple perception subtasks. Among them, the perception node may include at least one of multiple UEs and multiple base stations, or may also include other service nodes such as application functions (AF), which are not specifically limited here. It should be noted that in the following embodiment steps of the present disclosure, the technical solution in the present disclosure is described by taking the perception node including a base station, a UE, and an application function AF as an example, but it does not constitute a specific limitation.

[0112] Accordingly, when the first network element divides the sensing task into a plurality of sensing subtasks for distributed execution:

[0113] As a possible implementation, if the first network element determines, based on the sensing service information and the first sensing capability information, that the task attributes are suitable for execution by the base station and the UE, the first network element may divide the sensing task into a first sensing subtask and a second sensing subtask for distributed execution, and send the first sensing subtask to the base station via the AMF, and send the second sensing subtask to the UE via the AMF, so that the base station executes the first sensing subtask and the UE executes the second sensing subtask. Accordingly, the first network element may obtain the task processing results corresponding to the first sensing subtask and the second sensing subtask as the final processing result of the sensing task.

[0114] As a possible implementation, if the first network element determines, based on the sensing service information and the first sensing capability information, that the task attributes are suitable for execution by the base station and the application function AF, the first network element may divide the sensing task into a first sensing subtask and a third sensing subtask for distributed execution, and send the first sensing subtask to the base station via the AMF, and send the third sensing subtask to the AF via the AMF, so that the base station executes the first sensing subtask and the application function AF executes the third sensing subtask. Accordingly, the first network element may obtain the task processing results corresponding to the first sensing subtask and the third sensing subtask as the final processing result of the sensing task.

[0115] As a possible implementation, if the first network element determines that the task attributes are applicable to execution by the base station, UE, and application function AF based on the perception service information and the first perception capability information, the first network element may divide the perception task into a first perception subtask, a second perception subtask, and a third perception subtask for distributed execution, and send the first perception subtask to the base station via the AMF, send the second perception subtask to the UE via the AMF, and send the third perception subtask to the AF via the AMF, so that the base station executes the first perception subtask, the UE executes the second perception subtask, and the application function AF executes the third perception subtask. Accordingly, the first network element may obtain the task processing results corresponding to the first perception subtask, the second perception subtask, and the third perception subtask as the final processing result of the perception task.

[0116] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the first network element can obtain the first perception capability information of the perception node during the perception task processing process, and then can accurately and efficiently select the perception node that provides corresponding perception services for specific perception tasks based on the first perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0117] Figure 3 shows a flow chart of a method for processing a sensing task according to an embodiment of the present disclosure. As shown in Figure 3, the method is applied to sensing nodes, including but not limited to base stations, UEs, and application functions (AFs). The embodiment may include the following steps.

[0118] Step 301: Send sensing capability information to the core network, so that the first network element determines at least one target sensing node among the sensing nodes according to the sensing capability information, and calls the at least one target sensing node to perform a sensing task.

[0119] For the embodiments of the present disclosure, the sensing node may send sensing capability information to the core network through the AMF. When sending the sensing capability information to the core network:

[0120] As a possible implementation method, the perception node can receive perception service information sent by the first network element in the core network through AMF; when triggered by the task of the perception service information, the perception node sends first perception capability information to the first network element through AMF, wherein the first perception capability information includes the first perception capability characteristic of the perception node, and the first perception capability characteristic is the same as the characteristic type of the perception service characteristic in the perception service information.

[0121] As a possible implementation, a corresponding storage network element, i.e., a second network element (Storage network element), may be provided in the core network to store the second sensing capability information of each sensing node. Under certain triggering conditions, the sensing node may actively send the second sensing capability information to the second network element in the core network through the AMF, wherein the second sensing capability information is sent by the sensing node when the triggering condition is met, and the second sensing capability information includes all the sensing capability characteristics of the sensing node. The triggering conditions include at least one of the following: the sensing node completes initialization; the sending period of the second sensing capability information is reached; the sensing capability of the sensing node changes. In a specific application scenario, as a possible implementation, the sensing node may send the second sensing capability information to the second network element through the AMF upon completing initialization; as a possible implementation, the sensing node may periodically send the second sensing capability information to the second network element through the AMF; as a possible implementation, the sensing node may send the updated second sensing capability information to the second network element through the AMF when the sensing capability changes. Among them, initialization can correspond to the initial state of accessing the core network, such as the power-on of the perception node, the change of the perception area of ​​the perception node, the initial registration of the perception node to the core network, etc.; when the perception node performs periodic reporting, the reporting period can be set to 12 hours or 24 hours, which can be set specifically according to the actual application scenario; the perception capability change of the perception node can be that the perception node updates the shared configuration of the perception capability (such as turning on the sharing permission of the perception capability, etc.), the perception node fails, the hardware changes, etc., or it can also include notifying other situations that cause changes in the perception capability, which are not specifically limited here.

[0122] In a specific application scenario, the first network element may obtain, from the second network element, second sensing capability information proactively sent by the sensing node via the AMF. Given that the second sensing capability information includes all sensing capability characteristics possessed by the sensing node, to determine whether the sensing node is suitable for performing sensing tasks, the first network element may extract, from the second sensing capability information, first sensing capability information corresponding to the sensing capability characteristics of the same type as the sensing service characteristics. Specifically, the first network element may determine, from the second sensing capability information proactively sent by the sensing node, the second sensing capability characteristics of the same type as the sensing service characteristics as the first sensing capability information.

[0123] Among them, the perception service characteristics are the characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, and the perception delay needs to be less than a preset delay value, etc.; the first perception capability characteristic and the second perception capability characteristic are the same feature type as the perception service characteristic, and are used to reflect the size of the perception capability of the perception node under the corresponding feature type of the perception service characteristic, such as the perception range under the perception distance characteristic, the perception accuracy size under the perception accuracy characteristic, the perception resolution size under the perception resolution characteristic, and the delay size under the perception delay characteristic, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0124] As a possible implementation method, the perception node can send first perception capability information matching the perception service information to the first network element through AMF when triggered by the task of perception service information, and can also actively send second perception capability information to the second network element when the triggering condition is met, so that the first network element can comprehensively determine the first perception capability information of the perception node based on the first perception capability information and the second perception capability information.

[0125] Step 302: Receive the perception subtask sent by the first network element through AMF, and send the task processing result corresponding to the perception subtask to the core network through AMF.

[0126] In a specific application scenario, the first network element may divide the perception task into multiple perception subtasks corresponding to multiple target perception nodes based on the perception service information and the first perception capability information corresponding to the target perception node, and call multiple target perception nodes to execute the multiple perception subtasks in a distributed manner, and send information such as the magnitude of the perception measurement configuration parameters of the corresponding perception subtasks to the target perception nodes. For the embodiment of the present disclosure, when the perception node is determined as the target perception node by the first network element, the perception measurement configuration parameter magnitude of the perception subtask may be received by the first network element through the AMF. The perception node may execute the corresponding perception subtask based on the information such as the magnitude of the perception measurement configuration parameter, and after obtaining the task processing result corresponding to the perception subtask, send the task processing result to the core network through the AMF.

[0127] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the perception node can send corresponding perception capability information to the first network element, so that the first network element can accurately and efficiently select the corresponding perception node providing perception services for specific perception tasks based on the perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0128] Figure 4 shows a flow chart of a perception task processing method according to an embodiment of the present disclosure. As shown in Figure 4, the method is applied to the core network side. As shown in Figure 5, the 6G distributed computing and storage separation network architecture corresponding to the core network may include: multiple UEs, a radio access network (RAN), an AMF, a first (Scheduler) network element, and an AF. In addition, the network architecture may also include: an input network element, an output network element, a storage network element, a session management function (SMF), a unified data management (UDM), a user plane function (UPF), an authentication server function (AUSF), a user data register (UDR), a network storage function (NRF), a policy control function (PCF), a network exposure function (NEF), a data network (DN), a gateway (GW), etc., which are not specifically limited here. The embodiment may include the following steps.

[0129] Step 401: Receive a sensing service request sent by a terminal device UE, where the sensing service request includes sensing service information of a sensing task.

[0130] In a specific application scenario, the UE may send a perception service request to the AMF in the core network through the Radio Access Network (RAN), and use the AMF to pass the perception service request to the first network element in the core network. Accordingly, for the embodiment of the present disclosure, the first network element may receive the perception service request passed by the access and AMF. The perception service request may carry perception service information of the perception service task, and the perception service task may be an image processing task, a speech recognition task, a model training task, a data cleaning task, etc., which are not specifically limited here; the perception service information may include the Subscriber Permanent Identifier (SUPI), the Data Network Name (DNN), the user location information, the access type, the Area of ​​Interest (AoI), the perception service requirements, such as the service type and the perception data type, etc., which are not specifically limited here.

[0131] Step 402: Obtain first perception capability information of the perception node.

[0132] The perception node includes at least one of multiple UEs and multiple base stations, and the first perception capability information includes a first perception capability feature of the perception node, and the first perception capability feature is the same as the feature type of the perception service feature in the perception service information.

[0133] In a specific application scenario, as a possible implementation method, the perception nodes may report their respective first perception capability information to the AMF in the core network, and the AMF will send the first perception capability information to the first network element in the core network. Accordingly, the first network element may receive the first perception capability information sent by the perception node. Specifically, the core network may use the first network element to send perception service information to the AMF, and the AMF will send the perception service information to one or more perception nodes. The AMF may receive the first perception capability information that matches the perception service information and is sent by the perception node under the task triggering of the perception service information, and the AMF will send the first perception capability information to the first network element.

[0134] As a possible implementation method, a corresponding storage network element, i.e., a second network element (Storage network element), may be set in the core network to store the second perception capability information of each perception node. The second perception capability information is sent by the perception node when the trigger condition is met, and the second perception capability information contains all the perception capability characteristics of the perception node. The trigger condition includes at least one of the following: the perception node completes initialization; the sending period of the second perception capability information is reached; the perception capability of the perception node changes. In a specific application scenario, as a possible implementation method, the perception node may send the second perception capability information to the second network element through AMF when the initialization is completed; as a possible implementation method, the perception node may periodically send the second perception capability information to the second network element through AMF; as a possible implementation method, the perception node may send the updated second perception capability information to the second network element through AMF when the perception capability changes. Among them, initialization can correspond to the initial state of accessing the core network, such as the power-on of the perception node, the change of the perception area of ​​the perception node, the initial registration of the perception node to the core network, etc.; when the perception node performs periodic reporting, the reporting period can be set to 12 hours or 24 hours, which can be set specifically according to the actual application scenario; the perception capability change of the perception node can be that the perception node updates the shared configuration of the perception capability (such as turning on the sharing permission of the perception capability, etc.), the perception node fails, the hardware changes, etc., or it can also include notifying other situations that cause changes in the perception capability, which are not specifically limited here.

[0135] In a specific application scenario, a sensing node may proactively send all sensing capability information (i.e., second sensing capability information) to a second network element in the core network under certain triggering conditions. After receiving the second sensing capability information proactively sent by the sensing node via the AMF, the second network element may update the second sensing capability information corresponding to the sensing node stored in the core network. The first network element may obtain the second sensing capability information from the second network element. Given that the second sensing capability information includes all sensing capability features possessed by the sensing node, to determine whether the sensing node is suitable for performing sensing tasks, the first network element may extract first sensing capability information from the second sensing capability information that corresponds to the same feature type as the sensing service feature. Specifically, when the first network element determines that the first sensing capability information matches the sensing service information in the second sensing capability information proactively sent by the sensing node, the following steps may be performed: the first network element may determine, in the second sensing capability information proactively sent by the sensing node, the second sensing capability feature of the same feature type as the sensing service feature as the first sensing capability information. Accordingly, after receiving the second sensing capability information proactively sent by the sensing node via the AMF, the first network element may also update the second sensing capability information corresponding to the sensing node stored in the core network.

[0136] Among them, the perception service characteristics are the characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, and the perception delay needs to be less than a preset delay value, etc.; the second perception capability characteristic is the same as the feature type of the perception service characteristic, and is used to reflect the size of the perception capability of the perception node under the corresponding feature type of the perception service characteristic, such as the perception range under the perception distance characteristic, the perception accuracy size under the perception accuracy characteristic, the perception resolution size under the perception resolution characteristic, and the delay size under the perception delay characteristic, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0137] As a possible implementation method, the first network element in the core network can receive the first perception capability information that matches the perception service information and is sent by the perception node through the AMF under the task triggering of the perception service information, and obtain the second perception capability information actively sent by the perception node in the second network element. The first network element then comprehensively determines the first perception capability information of the perception node based on the first perception capability information and the second perception capability information. When the first network element comprehensively determines the first perception capability information of the perception node based on the first perception capability information and the second perception capability information, as a possible implementation method, the information reception time of the first perception capability information and the second perception capability information can be compared, and the first perception capability information or the second perception capability information whose corresponding information reception time is closest to the current time can be used as the most accurate perception capability information of the perception node at the current moment, and based on the perception capability information, it is determined whether the perception node is suitable for performing the perception task.

[0138] Step 403: Determine at least one target sensing node among the sensing nodes based on the first sensing capability information.

[0139] In the embodiments of the present disclosure, after receiving the first sensing capability information sent by the sensing node, the first network element in the core network may determine whether the sensing node is selected as the target sensing node for performing sensing measurement based on the first sensing capability information, and further determine at least one target sensing node among the sensing nodes so as to call the at least one target sensing node to perform the sensing task. As a possible implementation method, the first network element may calculate feature similarity between the first sensing capability feature in the first sensing capability information and the sensing service feature in the sensing service information, and determine the sensing node whose corresponding feature similarity is greater than a preset threshold as the target sensing node for performing the sensing task. The preset threshold is a value greater than 0 and less than 1. The closer the value of the preset threshold is to 1, the higher the match between the selected target sensing node and the sensing capability requirement corresponding to the sensing task. The specific value of the preset threshold can be set according to the actual application scenario and is not specifically limited here.

[0140] Step 404: Call at least one target perception node to perform the perception task in a distributed manner.

[0141] In one possible implementation of the disclosed embodiments, upon determining a target sensing node, the first network element in the core network may transmit information such as the level of sensing measurement configuration parameters corresponding to the sensing task to the AMF, which then forwards this information to the target sensing node. The target sensing node may perform the sensing task based on the level of sensing measurement configuration parameters and other information. The level of sensing measurement configuration parameters may be sensing service parameters under specific sensing service characteristics, such as sensing distance, sensing accuracy, sensing resolution, sensing latency parameters, and specific sensing actions to be performed.

[0142] For the embodiments of the present disclosure, as a possible implementation method, when multiple target perception nodes are determined, the first network element in the core network may divide the perception task into multiple perception subtasks distributedly executed by the multiple target perception nodes based on the perception service information and the first perception capability information corresponding to the target perception node. The first network element may send information such as the magnitude of the perception measurement configuration parameter corresponding to the perception subtask to the AMF, and the AMF sends the information down to the corresponding target perception node. The target perception node may execute the perception subtask based on information such as the magnitude of the perception measurement configuration parameter. The task execution results of the multiple perception subtasks constitute the task execution result of the perception task. Among them, the perception subtask is a partial perception task in the perception task, and the multiple perception subtasks constitute a complete perception task. The information such as the magnitude of the perception measurement configuration parameter corresponding to each perception subtask may be the same or different, and no specific limitation is made here.

[0143] The multiple perception subtasks may include at least two of the following: a first perception subtask performed by a base station, the first perception subtask being a perception subtask adapted to first perception capability information such as the base station's perception service area and perception service type; a second perception subtask performed by at least one target UE among multiple UEs, the second perception subtask being a perception subtask adapted to first perception capability information such as the UE's perception service area and perception service type; and a third perception subtask performed by an application function AF, the third perception subtask being a perception subtask adapted to first perception capability information such as the AF's perception service area and perception service type. AF is a provider of perception data, including devices such as applications (APPs) and third-party cameras. By dividing the perception task into multiple perception subtasks and executing the multiple perception subtasks simultaneously and in a distributed manner, the perception functions of perception nodes such as UE, base station, and third-party AF on the environment and surrounding objects are utilized to obtain perception information such as distance, direction, and speed. This collaborative working method can improve the execution efficiency of perception tasks, allowing perception nodes to fully utilize their computing power value and widely participate in calculation and processing, thereby effectively sharing the task pressure of perception services. It can also meet the needs of specific perception tasks to a certain extent and reduce privacy and security risks.

[0144] Step 405: Receive a task processing result corresponding to the perception task sent by at least one target perception node.

[0145] As a possible implementation method, when it is determined that only one target perception node is included in the perception node, the core network can receive the task processing result corresponding to the perception task sent by the target perception node; when multiple target perception nodes are included in the perception node, the core network can receive subtask processing results for the divided perception subtasks sent by different target perception nodes. After integrating the multiple subtask processing results, the task processing result corresponding to the perception task can be obtained.

[0146] Step 406: Send the task processing result corresponding to the sensing task to the UE.

[0147] In specific application scenarios, after receiving a perception service request from a UE, the core network can also establish a perception service session with the UE based on the perception service information. Specifically, the core network's User Plane Function (UPF) can be used to establish a perception service session with the UE based on the perception service information. In specific application scenarios, the UPF can receive RAN-side tunnel information for the UE's corresponding radio resources and establish a user plane tunnel to the RAN. The UPF can then exchange data information with the UE based on the user plane tunnel.

[0148] For the embodiments of the present disclosure, after the core network side aggregates the task processing results of the corresponding perception subtasks of at least one target perception node, it can send the task processing results of the perception task to the UE through the perception service session to complete the perception service process. In a specific application scenario, after the UPF aggregates the task processing results of the perception task, it can send the task processing results of the perception task to the UE through the perception service session to complete the perception service process.

[0149] Among them, the task processing result is obtained after the first network element obtains the first perception capability information of the perception node, determines at least one target perception node in the perception node according to the first perception capability information, and calls at least one target perception node to perform the perception task. The specific implementation process can refer to the relevant description in step 104 or 204 of the embodiment, which will not be repeated here. The perception node may include at least one of multiple UEs and multiple base stations, or may also include other service nodes such as application functions (AF), which are not specifically limited here. It should be noted that in the following embodiment steps of the present disclosure, the technical solution in the present disclosure is explained by taking the perception node including a base station, a UE, and an application function AF as an example, but it does not constitute a specific limitation; the first perception capability information includes the first perception capability characteristics of the perception node. The perception service characteristics are the characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, the perception delay needs to be less than a preset delay value, etc.; the first perception capability characteristic is the same as the feature type of the perception service characteristic, and is used to reflect the size of the perception capability of the perception node under the corresponding feature type of the perception service characteristic, such as the perception range under the perception distance characteristic, the perception accuracy size under the perception accuracy characteristic, the perception resolution size under the perception resolution characteristic, and the delay size under the perception delay characteristic, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0150] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the core network side can obtain the first perception capability information of the perception node during the perception task processing process, and then can accurately and efficiently select the perception node that provides corresponding perception services for specific perception tasks based on the first perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0151] Figure 6 shows a flow chart of a method for processing a sensing task according to an embodiment of the present disclosure. As shown in Figure 6, the method is applied to the core network side and may include the following steps.

[0152] Step 601: The first network element receives a perception service request sent by a terminal device UE through an access and mobility management function AMF. The perception service request includes perception service information of a perception task.

[0153] For the embodiment of the present disclosure, the specific implementation process can be found in the relevant description of step 101 of the embodiment, which will not be repeated here.

[0154] Step 602: The first network element sends perception service information to the perception node through the AMF, and the first network element receives the first perception capability information sent by the perception node.

[0155] The first sensing capability information is sent by the sensing node to the first network element via the AMF under the task triggering of the sensing service information. The first sensing capability information includes the first sensing capability characteristic of the sensing node, which is the same as the characteristic type of the sensing service characteristic in the sensing service information. The sensing node may include at least one of multiple UEs or multiple base stations, or may also include other service nodes such as application functions (AFs), and is not specifically limited here. It should be noted that in the following embodiment steps of the present disclosure, the technical solution in the present disclosure is described by taking the perception node including a base station, a UE, and an application function AF as an example, but it does not constitute a specific limitation; the perception service characteristics are characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, the perception delay needs to be less than a preset delay value, etc.; the first perception capability characteristic is the same as the feature type of the perception service characteristic, which is used to reflect the size of the perception capability of the perception node under the feature type corresponding to the perception service characteristic, such as the perception range under the perception distance feature, the perception accuracy size under the perception accuracy feature, the perception resolution size under the perception resolution feature, and the delay size under the perception delay feature, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0156] For the embodiments of the present disclosure, the core network can use the first network element to send perception service information to the AMF, and the AMF will send the perception service information to one or more perception nodes; the AMF can receive the first perception capability information that matches the perception service information and is sent by the perception node under the task triggering of the perception service information, and the AMF will send the first perception capability information to the first network element.

[0157] Step 603: The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information.

[0158] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 103 of the embodiment, which will not be repeated here.

[0159] Step 604: The first network element calls at least one target sensing node to perform a sensing task.

[0160] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 104 of the embodiment, which will not be repeated here.

[0161] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the core network side can obtain the first perception capability information of the perception node during the perception task processing process, and then can accurately and efficiently select the perception node that provides corresponding perception services for specific perception tasks based on the first perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0162] Figure 7 shows a flow chart of a method for processing a sensing task according to an embodiment of the present disclosure. As shown in Figure 7, the method is applied to the core network side and may include the following steps.

[0163] Step 701: The first network element receives a perception service request sent by a terminal device UE through an access and mobility management function AMF, where the perception service request includes perception service information of a perception task.

[0164] For the embodiment of the present disclosure, the specific implementation process can be found in the relevant description of step 101 of the embodiment, which will not be repeated here.

[0165] Step 702: The second network element receives the second perception capability information sent by the perception node through the AMF, the first network element obtains the second perception capability information from the second network element, and determines the first perception capability information that matches the perception service information in the second perception capability information.

[0166] Among them, the second perception capability information is sent by the perception node when the trigger condition is met, and the second perception capability information includes all perception capability characteristics of the perception node; the first perception capability information includes the first perception capability characteristic of the perception node, and the first perception capability characteristic is the same as the characteristic type of the perception service characteristic in the perception service information.

[0167] In a specific application scenario, a corresponding storage network element, i.e., a second network element (Storage network element), may be set up in the core network to store the second perception capability information of each perception node. The second perception capability information includes all perception capability characteristics of the perception node. Under certain triggering conditions, the perception node may actively send all perception capability information (i.e., the second perception capability information) to the second network element in the core network. After receiving the second perception capability information actively sent by the perception node through the AMF, the second network element may update the second perception capability information corresponding to the perception node stored in the core network. The first network element may obtain the second perception capability information from the second network element.

[0168] The triggering conditions include at least one of the following: the sensing node completes initialization; the second sensing capability information transmission period reaches; or the sensing node's sensing capability changes. In a specific application scenario, as a possible implementation, upon completing initialization, the sensing node may transmit the second sensing capability information to the second network element via the AMF. As a possible implementation, the sensing node may periodically transmit the second sensing capability information to the second network element via the AMF. As a possible implementation, upon a sensing capability change, the sensing node may transmit updated second sensing capability information to the second network element via the AMF. Initialization may correspond to the initial state of accessing the core network, such as powering on the sensing node, a change in the sensing node's sensing area, or initial registration of the sensing node with the core network. When the sensing node periodically reports, the reporting period may be set to 12 hours or 24 hours, depending on the actual application scenario. A sensing capability change may include updating the sensing capability sharing configuration (such as enabling the sensing capability sharing permission), a sensing node failure, a hardware change, or other conditions that may cause a sensing capability change, which are not specifically limited here.

[0169] Given that the second perception capability information contains all the perception capability characteristics possessed by the perception node, in order to determine whether the perception node is suitable for performing the perception task, the first network element may extract the first perception capability information corresponding to the perception capability characteristics and the same feature type as the perception service characteristics from the second perception capability information. Specifically, when the first network element determines the first perception capability information that matches the perception service information in the second perception capability information actively sent by the perception node, the embodiment steps may include: the first network element determines, in the second perception capability information actively sent by the perception node, the second perception capability characteristics of the same feature type as the corresponding feature type of the perception service characteristics as the first perception capability information. Accordingly, after receiving the second perception capability information actively sent by the perception node through the AMF, the first network element may also update the second perception capability information corresponding to the perception node stored in the core network.

[0170] Among them, the perception service characteristics are the characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, and the perception delay needs to be less than a preset delay value, etc.; the second perception capability characteristic is the same as the feature type of the perception service characteristic, and is used to reflect the size of the perception capability of the perception node under the corresponding feature type of the perception service characteristic, such as the perception range under the perception distance characteristic, the perception accuracy size under the perception accuracy characteristic, the perception resolution size under the perception resolution characteristic, and the delay size under the perception delay characteristic, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0171] Step 703: The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information.

[0172] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 103 of the embodiment, which will not be repeated here.

[0173] Step 704: The first network element calls at least one target sensing node to perform a sensing task.

[0174] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 104 of the embodiment, which will not be repeated here.

[0175] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the core network side can obtain the first perception capability information of the perception node during the perception task processing process, and then can accurately and efficiently select the perception node that provides corresponding perception services for specific perception tasks based on the first perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0176] Figure 8 is a timing diagram of a perception task processing method according to an embodiment of the present disclosure. The method is applied to a 6G distributed computing and storage separation network. The embodiment may include the following steps.

[0177] For the embodiments of the present disclosure, the specific implementation process may be: the UE sends a perception service request to the first network element (Scheduler network element) through the access and mobility management function AMF, and the perception service request includes perception service information of the perception task; the first network element sends the perception service information to the perception node through the AMF; the perception node sends the first perception capability information to the first network element through the AMF under the task triggering of the perception service information; the first network element determines at least one target perception node among the perception nodes based on the first perception capability information; the first network element calls at least one target perception node to perform the perception task.

[0178] Step 801: The UE sends an awareness service request to the first network element through the AMF.

[0179] For the embodiment of the present disclosure, the specific implementation process can be found in the relevant description of step 101 of the embodiment, which will not be repeated here.

[0180] Step 802: The first network element sends perception service information to the perception node through the AMF.

[0181] Step 803: The perception node sends the first perception capability information to the first network element through the AMF.

[0182] The first sensing capability information includes a first sensing capability characteristic of the sensing node, which is of the same feature type as the sensing service characteristic in the sensing service information. The sensing node may include at least one of multiple UEs and multiple base stations, or may also include other service nodes such as an application function (AF), which is not specifically limited herein. It should be noted that in the following embodiments of the present disclosure, the technical solutions of the present disclosure are described using the example of a sensing node including a base station, a UE, and an application function AF, but this does not constitute a specific limitation. The sensing service characteristic is a characteristic that the sensing node must possess when performing a sensing task, such as the sensing distance must reach a preset distance value, the sensing distance must be within a preset range, the sensing accuracy must reach a preset accuracy value, the sensing resolution must reach a preset resolution value, and the sensing delay must be less than a preset delay value. The first sensing capability characteristic is of the same feature type as the sensing service characteristic, and is used to reflect the sensing capability of the sensing node under the corresponding feature type of the sensing service characteristic, such as the sensing range under the sensing distance characteristic, the sensing accuracy under the sensing accuracy characteristic, the sensing resolution under the sensing resolution characteristic, and the delay under the sensing delay characteristic. The specific feature type can be set according to the actual application scenario and is not limited herein.

[0183] For steps 802 and 803 of the embodiment, the first network element may send perception service information to the AMF, and the AMF will send the perception service information to one or more perception nodes; the AMF may receive first perception capability information matching the perception service information sent by the perception node under the task triggering of the perception service information, and the AMF will send the first perception capability information to the first network element.

[0184] Step 804: The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information.

[0185] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 103 of the embodiment, which will not be repeated here.

[0186] Step 805: The first network element calls at least one target sensing node to perform a sensing task.

[0187] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 104 of the embodiment, which will not be repeated here.

[0188] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the core network side can obtain the first perception capability information of the perception node during the perception task processing process, and then can accurately and efficiently select the perception node that provides corresponding perception services for specific perception tasks based on the first perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0189] Figure 9 is a timing diagram of a perception task processing method according to an embodiment of the present disclosure. The method is applied to a 6G distributed computing and storage separation network. The embodiment may include the following steps.

[0190] For the embodiments of the present disclosure, the specific implementation process may be: the UE sends a perception service request to the first network element (Scheduler network element) through the access and mobility management function AMF, and the perception service request includes perception service information of the perception task; the perception node sends the second perception capability information to the second network element (Storage network element) through the AMF; the first network element obtains the second perception capability information from the second network element; the first network element determines the first perception capability information that matches the perception service information in the second perception capability information; the first network element determines at least one target perception node in the perception node based on the first perception capability information; the first network element calls at least one target perception node to perform the perception task.

[0191] Step 901: The UE sends a perception service request to the first network element through the AMF.

[0192] For the embodiment of the present disclosure, the specific implementation process can be found in the relevant description of step 101 of the embodiment, which will not be repeated here.

[0193] Step 902: The perception node sends the second perception capability information to the second network element through the AMF.

[0194] For the embodiments of the present disclosure, a corresponding storage network element, i.e., a second network element (Storage network element), may be provided in the core network to store the second perception capability information of each perception node. The second perception capability information includes all perception capability characteristics of the perception node. Under certain triggering conditions, the perception node may proactively send all perception capability information (i.e., the second perception capability information) to the second network element in the core network. After receiving the second perception capability information proactively sent by the perception node via the AMF, the second network element may update the second perception capability information corresponding to the perception node stored in the core network.

[0195] The triggering conditions may include at least one of the following: the sensing node completes initialization; the second sensing capability information transmission period reaches; or the sensing capability of the sensing node changes. In a specific application scenario, as a possible implementation, upon completing initialization, the sensing node may send the second sensing capability information to the second network element via the AMF. As a possible implementation, the sensing node may periodically send the second sensing capability information to the second network element via the AMF. As a possible implementation, upon a change in sensing capability, the sensing node may send updated second sensing capability information to the second network element via the AMF. Initialization may correspond to the initial state of accessing the core network, such as powering on the sensing node, a change in the sensing node's sensing area, or initial registration of the sensing node with the core network. When the sensing node periodically reports, the reporting period may be set to 12 hours or 24 hours, depending on the actual application scenario. A change in the sensing capability of the sensing node may include updating the sensing capability sharing configuration (such as enabling the sensing capability sharing permission), a sensing node failure, a hardware change, or other conditions that may cause the sensing capability change, which are not specifically limited here.

[0196] Step 903: The first network element obtains second perception capability information from the second network element.

[0197] Step 904: The first network element determines the first sensing capability information that matches the sensing service information in the second sensing capability information, wherein the second sensing capability information includes all sensing capability characteristics of the sensing node.

[0198] In the embodiments of the present disclosure, given that the second perception capability information includes all perception capability characteristics possessed by the perception node, in order to determine whether the perception node is suitable for performing the perception task, first perception capability information corresponding to the perception capability characteristics and the same feature type as the perception service characteristics may be extracted from the second perception capability information. Specifically, when the first network element determines the first perception capability information that matches the perception service information in the second perception capability information, the embodiment steps may include: the first network element determines, in the second perception capability information, the second perception capability characteristics of the same feature type as the corresponding perception service characteristics as the first perception capability information.

[0199] Among them, the perception service characteristics are the characteristics that the perception node needs to have when performing the perception task, such as the perception distance needs to reach a preset distance value, or the perception distance needs to be within a preset range, the perception accuracy needs to reach a preset accuracy value, the perception resolution needs to reach a preset resolution value, and the perception delay needs to be less than a preset delay value, etc.; the second perception capability characteristic is the same as the feature type of the perception service characteristic, and is used to reflect the size of the perception capability of the perception node under the corresponding feature type of the perception service characteristic, such as the perception range under the perception distance characteristic, the perception accuracy size under the perception accuracy characteristic, the perception resolution size under the perception resolution characteristic, and the delay size under the perception delay characteristic, etc. The specific feature type can be set according to the actual application scenario and is not limited here.

[0200] Step 905: The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information.

[0201] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 103 of the embodiment, which will not be repeated here.

[0202] Step 906: The first network element calls at least one target sensing node to perform a sensing task.

[0203] For the specific implementation process of the embodiment of the present disclosure, please refer to the relevant description in step 104 of the embodiment, which will not be repeated here.

[0204] In summary, according to the perception task processing method provided by the embodiment of the present disclosure, the core network side can obtain the first perception capability information of the perception node during the perception task processing process, and then can accurately and efficiently select the perception node that provides corresponding perception services for specific perception tasks based on the first perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0205] In the embodiments provided above, the methods provided in the embodiments of the present application are described from the perspectives of the first network element, the terminal device UE, the perception node, and the core network. In order to implement the various functions of the methods provided in the embodiments of the present application, the first network element, the terminal device UE, the perception node, and the core network may include hardware structures and software modules, and implement the aforementioned functions in the form of hardware structures, software modules, or hardware structures plus software modules. One of the aforementioned functions may be executed in the form of hardware structures, software modules, or hardware structures plus software modules.

[0206] Corresponding to the perception task processing methods provided in the above-mentioned embodiments, the present disclosure also provides a perception task processing device. Since the perception task processing device provided in the embodiment of the present disclosure corresponds to the perception task processing methods provided in the above-mentioned embodiments, the implementation method of the perception task processing method is also applicable to the perception task processing device provided in this embodiment and will not be described in detail in this embodiment.

[0207] FIG10 is a schematic structural diagram of a sensing task processing apparatus 1000 provided according to an embodiment of the present disclosure. The sensing task processing apparatus 1000 may be applied to a first network element.

[0208] As shown in FIG10 , the apparatus 1000 may include:

[0209] The receiving module 1010 may be configured to receive a sensing service request sent by a terminal device UE via an access and mobility management function AMF, where the sensing service request includes sensing service information of a sensing task;

[0210] The processing module 1020 may be configured to obtain first sensing capability information of a sensing node, where the sensing node includes at least one of a plurality of UEs and a plurality of base stations, and the first sensing capability information includes a first sensing capability feature of the sensing node, where the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information;

[0211] The processing module 1020 may be configured to determine at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0212] The processing module 1020 can be used to call at least one target perception node to perform a perception task.

[0213] In some embodiments of the present disclosure, the processing module 1020 may be used to receive first perception capability information matching the perception service information and sent by the perception node through the AMF under the task triggering of the perception service information; and determine the first perception capability information matching the perception service information in the second perception capability information actively sent by the perception node, wherein the second perception capability information includes all perception capability characteristics of the perception node.

[0214] In some embodiments of the present disclosure, as shown in FIG10 , the apparatus 1000 further includes: a sending module 1030;

[0215] The sending module 1030 can be used to send perception service information to the perception node through the AMF.

[0216] In some embodiments of the present disclosure, the processing module 1020 may further be configured to obtain second perception capability information, where the second perception capability information is sent by the perception node through the AMF when a trigger condition is met.

[0217] In some embodiments of the present disclosure, the triggering condition includes at least one of the following: the sensing node completes initialization; the second sensing capability information transmission period arrives; the sensing capability of the sensing node changes.

[0218] In some embodiments of the present disclosure, the processing module 1020 may be configured to determine, in the second sensing capability information actively sent by the sensing node, a second sensing capability feature having the same feature type as that corresponding to the sensing service feature, as the first sensing capability information.

[0219] In some embodiments of the present disclosure, the processing module 1020 may be configured to divide a perception task into at least one perception subtask corresponding to at least one target perception node; and send the perception subtask to the corresponding target perception node via the AMF.

[0220] FIG11 is a structural diagram of a perception task processing device 1100 provided according to an embodiment of the present disclosure. The perception task processing device 1100 can be applied to a perception node.

[0221] The sending module 1110 can be used to send perception capability information to the core network, so that the first network element determines at least one target perception node among the perception nodes based on the perception capability information and calls at least one target perception node to perform the perception task.

[0222] In some embodiments of the present disclosure, the sending module 1110 can be used to send first perception capability information to the first network element through the AMF under the task triggering of the perception service information, wherein the first perception capability information includes the first perception capability characteristics of the perception node, and the first perception capability characteristics are the same as the characteristic type of the perception service characteristics in the perception service information; and actively send second perception capability information to the second network element through the AMF, wherein the second perception capability information is sent by the perception node when the trigger condition is met, and the second perception capability information includes all perception capability characteristics of the perception node.

[0223] In some embodiments of the present disclosure, as shown in FIG11 , the apparatus 1100 may further include: a receiving module 1120 ;

[0224] The receiving module 1120 can be used to receive the perception service information sent by the first network element through the AMF.

[0225] In some embodiments of the present disclosure, the triggering condition includes at least one of the following: the sensing node completes initialization; the second sensing capability information transmission period arrives; the sensing capability of the sensing node changes.

[0226] In some embodiments of the present disclosure, the receiving module 1120 can also be used to receive the perception subtask sent by the first network element through the AMF; the sending module 1110 can also be used to send the task processing result corresponding to the perception subtask to the core network through the AMF.

[0227] FIG12 is a schematic structural diagram of a perception task processing device 1200 provided according to an embodiment of the present disclosure. The perception task processing device 1200 may be applied to a core network side.

[0228] As shown in FIG12 , the apparatus 1200 may include:

[0229] The receiving module 1210 may be configured to receive a sensing service request sent by a terminal device UE, where the sensing service request includes sensing service information of a sensing task;

[0230] The processing module 1220 may be configured to obtain first sensing capability information of a sensing node, where the sensing node includes at least one of a plurality of UEs and a plurality of base stations, and the first sensing capability information includes a first sensing capability feature of the sensing node, where the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information;

[0231] The processing module 1220 may be configured to determine at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0232] The processing module 1220 may be configured to call at least one target perception node to perform perception tasks in a distributed manner.

[0233] In some embodiments of the present disclosure, the processing module 1220 can be used to receive first perception capability information that matches the perception service information and is sent by the perception node under the task triggering of the perception service information; and determine the first perception capability information that matches the perception service information in the second perception capability information actively sent by the perception node, wherein the second perception capability information includes all perception capability characteristics of the perception node.

[0234] In some embodiments of the present disclosure, as shown in FIG12 , the apparatus 1200 may further include: a sending module 1230 ;

[0235] The sending module 1230 may be configured to send sensing service information to the sensing node.

[0236] In some embodiments of the present disclosure, the receiving module 1210 may also be configured to receive second sensing capability information actively sent by the sensing node, where the second sensing capability information is sent by the sensing node when a trigger condition is met.

[0237] In some embodiments of the present disclosure, the triggering condition includes at least one of the following: the sensing node completes initialization; the second sensing capability information transmission period arrives; the sensing capability of the sensing node changes.

[0238] In some embodiments of the present disclosure, the processing module 1220 may also be configured to update the stored second sensing capability information corresponding to the sensing node.

[0239] FIG13 is a structural diagram of a perception task processing device 1300 provided according to an embodiment of the present disclosure. The perception task processing device 1300 can be applied to the core network side.

[0240] As shown in FIG. 13 , the apparatus 1300 may include:

[0241] The receiving module 1310 may be configured to enable the first network element to receive a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task;

[0242] The sending module 1320 can be used for the first network element to send the perception service information to the perception node through the AMF;

[0243] The receiving module 1310 may be configured to receive, as a first network element, first sensing capability information sent by a sensing node, where the first sensing capability information is sent by the sensing node to the first network element through the AMF under a task triggering the sensing service information, and the first sensing capability information includes a first sensing capability feature of the sensing node, where the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information;

[0244] The processing module 1330 may be configured to enable the first network element to determine at least one target sensing node among the sensing nodes according to the first sensing capability information;

[0245] The processing module 1330 can be used for the first network element to call at least one target perception node to perform a perception task.

[0246] FIG14 is a structural diagram of a perception task processing device 1400 provided according to an embodiment of the present disclosure. The perception task processing device 1400 can be applied to the core network side.

[0247] As shown in FIG. 14 , the apparatus 1400 may include:

[0248] The receiving module 1410 may be configured to enable the first network element to receive a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task;

[0249] The receiving module 1410 may be configured to receive, by a second network element, second sensing capability information sent by a sensing node through the AMF, wherein the second sensing capability information is sent by the sensing node when a trigger condition is met, and the second sensing capability information includes all sensing capability characteristics of the sensing node;

[0250] The processing module 1420 may be configured to enable the first network element to obtain second sensing capability information from the second network element, and to determine, from the second sensing capability information, first sensing capability information that matches the sensing service information, wherein the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information;

[0251] The processing module 1420 may be configured to determine, by the first network element, at least one target sensing node from among the sensing nodes according to the first sensing capability information;

[0252] The processing module 1420 can be used by the first network element to call at least one target perception node to perform the perception task.

[0253] Please refer to Figure 15, which is a schematic diagram of the structure of a communication device 1500 provided in an embodiment of the present application. Communication device 1500 can be a network device or a user device, or a chip, chip system, or processor that supports the network device to implement the above method. It can also be a chip, chip system, or processor that supports the user device to implement the above method. This device can be used to implement the method described in the above method embodiment. For details, please refer to the description of the above method embodiment.

[0254] The communication device 1500 may include one or more processors 1501. The processor 1501 may be a general-purpose processor or a dedicated processor. For example, it may be 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 the communication device (e.g., a base station, a baseband chip, a terminal device, a terminal device chip, a DU or CU, etc.), execute computer programs, and process computer program data.

[0255] Optionally, the communication device 1500 may further include one or more memories 1502, on which a computer program 1504 may be stored. The processor 1501 executes the computer program 1504, causing the communication device 1500 to perform the method described in the above method embodiment. Optionally, the memory 1502 may also store data. The communication device 1500 and the memory 1502 may be provided separately or integrated together.

[0256] Optionally, the communication device 1500 may further include a transceiver 1505 and an antenna 1506. The transceiver 1505 may be referred to as a transceiver unit, a transceiver, or a transceiver circuit, and is configured to implement transceiver functions. The transceiver 1505 may include a receiver and a transmitter. The receiver may be referred to as a receiver or a receiving circuit, and is configured to implement a receiving function; the transmitter may be referred to as a transmitter or a transmitting circuit, and is configured to implement a transmitting function.

[0257] Optionally, the communication device 1500 may further include one or more interface circuits 1507. The interface circuit 1507 is configured to receive code instructions and transmit the instructions to the processor 1501. The processor 1501 executes the code instructions to enable the communication device 1500 to perform the method described in the above method embodiment.

[0258] In one implementation, processor 1501 may include a transceiver for implementing receiving and transmitting functions. For example, the transceiver may be a transceiver circuit, an interface, or an interface circuit. The transceiver circuit, interface, or interface circuit for implementing the receiving and transmitting functions may be separate or integrated. The transceiver circuit, interface, or interface circuit may be used for reading and writing code / data, or may be used for transmitting or delivering signals.

[0259] In one implementation, processor 1501 may store a computer program 1503. Computer program 1503, when executed on processor 1501, enables communication device 1500 to perform the method described in the above method embodiment. Computer program 1503 may be embedded in processor 1501, in which case processor 1501 may be implemented by hardware.

[0260] In one implementation, the communication device 1500 may include a circuit that can implement the functions of sending, receiving, or communicating in the aforementioned method embodiments. The processor and transceiver described in this application can be implemented on an integrated circuit (IC), an analog IC, a radio frequency integrated circuit RFIC, a mixed signal IC, an application specific integrated circuit (ASIC), a printed circuit board (PCB), an electronic device, etc. The processor and transceiver can also be manufactured using various IC process technologies, such as complementary metal oxide semiconductor (CMOS), N-type metal oxide semiconductor (nMetal-oxide-semiconductor, NMOS), P-type metal oxide semiconductor (positive channel metal oxide semiconductor, PMOS), bipolar junction transistor (bipolar junction transistor, BJT), bipolar CMOS (BiCMOS), silicon germanium (SiGe), gallium arsenide (GaAs), etc.

[0261] The communication device described in the above embodiments may be a network device or a user device, but the scope of the communication device described in this application is not limited thereto, and the structure of the communication device may not be limited to FIG15. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be:

[0262] (1) An independent integrated circuit (IC), or chip, or chip system or subsystem;

[0263] (2) a collection of one or more ICs, optionally including a storage component for storing data and computer programs;

[0264] (3) ASIC, such as modem;

[0265] (4) Modules that can be embedded in other devices;

[0266] (5) Receivers, terminal devices, intelligent terminal devices, cellular phones, wireless devices, handheld devices, mobile units, vehicle-mounted devices, network devices, cloud devices, artificial intelligence devices, etc.;

[0267] (6)Others, etc.

[0268] If the communication device can be a chip or a chip system, please refer to the schematic diagram of the chip structure shown in Figure 16. The chip shown in Figure 16 includes a processor 1601 and an interface 1602. The number of processors 1601 can be one or more, and the number of interfaces 1602 can be multiple.

[0269] Optionally, the chip further includes a memory 1603, which is used to store necessary computer programs and data.

[0270] Those skilled in the art will also appreciate that the various illustrative logical blocks and steps listed in the embodiments of the present application can be implemented by electronic hardware, computer software, or a combination of both. Whether such functions are implemented by hardware or software depends on the specific application and the design requirements of the entire system. Those skilled in the art may use various methods to implement the functions for each specific application, but such implementation should not be construed as exceeding the scope of protection of the embodiments of the present application.

[0271] The present application also provides a readable storage medium having instructions stored thereon, which implement the functions of any of the above method embodiments when executed by a computer.

[0272] The present application also provides a computer program product, which implements the functions of any of the above method embodiments when executed by a computer.

[0273] In the above embodiments, all or part of the embodiments can be implemented by software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions according to the embodiments of the present application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer program can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device such as a server or data center that includes one or more available media integrated therein. Available media may be magnetic media (eg, floppy disks, hard disks, tapes), optical media (eg, high-density digital video discs (DVDs)), or semiconductor media (eg, solid state disks (SSDs)).

[0274] The present disclosure proposes a perception task processing method and device, which, by providing a method for reporting perception capabilities in a 6G core network, enables the core network to accurately and efficiently select perception nodes to provide perception services for specific perception tasks.

[0275] Based on this disclosure, examples of embodiments of this solution are as follows:

[0276] 1. Service-triggered UE and gNB perception capability reporting process (as shown in Figure 17)

[0277] 1) The UE sends a perception service request (i.e., perception service request) to the core network. The request information includes perception service information (SUPI, service type, service requirements, etc.).

[0278] The core network establishes a perception session based on the perception service information.

[0279] 2) The Scheduler NE (i.e., the first NE) sends the sensing service characteristics (e.g., sensing distance, sensing accuracy, sensing resolution, sensing latency, and other task characteristics contained in the sensing service information) to the AMF based on the sensing service information. The AMF then sends the sensing service information to one or more gNBs and UEs (i.e., sensing nodes).

[0280] 3) The UE and gNB report the sensing capability (i.e., the first sensing capability information) to the AMF, and the AMF sends the sensing capability to the Scheduler network element.

[0281] 4) The Scheduler network element determines whether to select it as a perception measurement node based on the perception capabilities reported by the UE and gNB.

[0282] After the perception measurement node selection is completed, the Scheduler network element sends information such as the level of the perception measurement configuration parameters to the AMF. The AMF sends this information to the corresponding perception measurement node to perform the perception measurement task and execute subsequent perception business processes.

[0283] 2. Sensing capability reporting process initiated by UE and gNB (as shown in Figure 18)

[0284] 1) The UE and gNB (i.e., sensing nodes) report their sensing capabilities to the core network and send a sensing capability reporting message to the AMF. This message may include the UE and gNB's sensing range, sensing accuracy, sensing resolution, sensing latency, and other capability information (i.e., second sensing capability information). The conditions for initiating sensing capability reporting are as follows:

[0285] 1a. UE and gNB initialize and report sensing capabilities;

[0286] 1b. UE and gNB periodically report sensing capabilities;

[0287] 1c. When the UE or gNB sensing capabilities change, the updated sensing capabilities are reported.

[0288] 2)AMF sends the perception capability reporting message to the Storage network element.

[0289] 3) The Storage network element updates the perception capabilities of the UE and gNB to which the message belongs.

[0290] In summary, the present disclosure has the following beneficial effects: the perception node can send corresponding perception capability information to the first network element, so that the first network element can accurately and efficiently select the corresponding perception node providing perception services for specific perception tasks based on the perception capability information, which can meet the new services that may emerge in the 6G era and the high-quality requirements for data and computing power.

[0291] The embodiments or examples of the present disclosure are not exhaustive, but are merely illustrations of some embodiments or examples, and are not intended to be specific limitations on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment or example can be implemented as an independent example, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment or example can also be implemented as an independent example, and the order of the steps in a certain embodiment or example can be arbitrarily exchanged. In addition, the optional methods or optional examples in a certain embodiment or example can be arbitrarily combined; in addition, the various embodiments or examples can be arbitrarily combined. For example, some or all steps of different embodiments or examples can be arbitrarily combined, and a certain embodiment or example can be arbitrarily combined with the optional methods or optional examples of other embodiments or examples.

[0292] In some implementation manners or examples, the terms "in response to," "in the case of," "at the time of," "when," "if," "if," etc. in the present disclosure may be replaced with each other.

[0293] In some embodiments or examples, the description methods of the present disclosure, such as "A or B", "A and / or B", "at least one of A and B", "A in one case, B in another case", "in response to one case A, in response to another case B", etc., may include at least one of the following technical solutions according to the situation: executing A independently of B, that is, A in some embodiments or examples; executing B independently of A, that is, B in some embodiments or examples; selectively executing A and B, that is, selecting to execute from A and B in some embodiments or examples; executing both A and B, that is, A and B in some embodiments or examples.

[0294] In some embodiments or examples, “including A”, “comprising A”, “used to indicate A” and “carrying A” in the present disclosure may be interpreted as directly carrying A or indirectly indicating A.

[0295] In addition, each element, each row, or each column in the table involved in 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.

[0296] Those skilled in the art will understand that the various numerical numbers such as first and second involved in this application are only for the convenience of description and are not used to limit the scope of the embodiments of this application, and also indicate the order of precedence.

[0297] In this application, at least one can also be described as one or more, and multiple can be two, three, four or more, which is not limited in this application. In the embodiments of this application, for a technical feature, the technical features in the technical feature are distinguished by "first", "second", "third", "A", "B", "C" and "D", and there is no order of precedence or size between the technical features described by "first", "second", "third", "A", "B", "C" and "D".

[0298] As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and / or device (e.g., a magnetic disk, an optical disk, a memory, a programmable logic device (PLD)) for providing machine instructions and / or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal for providing machine instructions and / or data to a programmable processor.

[0299] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0300] Computer systems may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The client and server relationship arises through computer programs running on the respective computers and having a client-server relationship to each other.

[0301] In some embodiments, devices, etc. can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as "device", "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", and "subject" can be used interchangeably.

[0302] 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", "bandwidth part (BWP)" and the like may be used interchangeably.

[0303] 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, client, etc. can be used interchangeably.

[0304] In some embodiments, the access network device, the core network device, or the network device can be replaced by a terminal. For example, the various embodiments of the present disclosure can also be applied to a structure in which the communication between the access network device, the core network device, or the network device and the terminal is replaced by communication between multiple terminals (for example, it can also be called device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, it can also be set as a structure in which the terminal has all or part of the functions of the access network device. In addition, language such as "uplink" and "downlink" can also be replaced by language corresponding to communication between terminals (for example, "side"). For example, uplink channels, downlink channels, etc. can be replaced by side channels, and uplinks, downlinks, etc. can be replaced by side links.

[0305] 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, the core network device, or the network device may have a structure that has all or part of the functions of the terminal.

[0306] 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", "field", "symbol", "symbol", "codeword", "codebook", "codeword", "codepoint", "bit", "data", "program", and "chip" can be used interchangeably.

[0307] In some embodiments, the terms "precoding", "precoder", "weight", "precoding weight", "quasi-co-location (QCL)", "transmission configuration indication (TCI) state", "spatial relation", "spatial domain filter", "transmission power", "phase rotation", "antenna port", "antenna port group", "layer", "the number of layers", "rank", "resource", "resource set", "resource group", "beam", "beam width", "beam angular degree", "antenna", "antenna element", "panel" and the like can be used interchangeably.

[0308] In some embodiments, terms such as "frame", "radio frame", "subframe", "slot", "sub-slot", "mini-slot", "symbol", "symbol", and "transmission time interval (TTI)" can be used interchangeably.

[0309] In some embodiments, "obtain", "get", "obtain", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from a protocol, obtaining by self-processing, autonomous implementation, etc.

[0310] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0311] In some embodiments, "predetermined" and "preset" can be interpreted as pre-specified in a protocol, etc., or can be interpreted as a pre-set action performed by a device, etc.

[0312] In some embodiments, determining may be interpreted as judging, calculating, computing, processing, deriving, investigating, searching, looking up, retrieving, ascertaining, receiving, transmitting, inputting, outputting, accessing, resolving, selecting, choosing, establishing, comparing, “assuming,” “expecting,” “considering,” broadcasting, notifying, communicating, forwarding, configuring, reconfiguring, allocating, mapping, assigning, and the like, but is not limited thereto.

[0313] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not limited herein.

[0314] Furthermore, it should be understood that the various embodiments of the present application may be implemented individually or in combination with other embodiments where the solution permits.

[0315] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0316] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0317] The above are only specific embodiments of the present application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this application should be included in the scope of protection of this application. Therefore, the scope of protection of this application should be based on the scope of protection of the claims.

Claims

1. A perception task processing method, characterized in that: The method is applied to a first network element, and the method includes: Receiving a sensing service request sent by a terminal device UE through an access and mobility management function AMF, where the sensing service request includes sensing service information of a sensing task; Acquire first sensing capability information of a sensing node, wherein the sensing node includes at least one of a plurality of UEs and a plurality of base stations, the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information; Determining at least one target sensing node among the sensing nodes according to the first sensing capability information; Call the at least one target sensing node to perform the sensing task.

2. The method according to claim 1, characterized in that The acquiring the first sensing capability information of the sensing node includes at least one of the following: Receiving first perception capability information matching the perception service information, which is sent by the perception node through the AMF under the task triggering of the perception service information; In the second sensing capability information actively sent by the sensing node, the first sensing capability information matching the sensing service information is determined, wherein the second sensing capability information includes all sensing capability characteristics of the sensing node.

3. The method according to claim 2, characterized in that Before the receiving sensing node sends the first sensing capability information matching the sensing service information through the AMF under the task triggering of the sensing service information, the method further includes: The perception service information is sent to the perception node through the AMF.

4. The method according to claim 2, characterized in that: Before determining, in the second sensing capability information actively sent by the sensing node, the first sensing capability information matching the sensing service information, the method further includes: The second perception capability information is obtained, where the second perception capability information is sent by the perception node through the AMF when a trigger condition is met.

5. The method according to claim 4, characterized in that The trigger condition includes at least one of the following: The sensing node completes initialization; Arrival of the second sensing capability information sending period; The sensing capability of the sensing node changes.

6. The method according to claim 4, characterized in that The determining, in the second sensing capability information actively sent by the sensing node, the first sensing capability information matching the sensing service information comprises: In the second sensing capability information actively sent by the sensing node, a second sensing capability feature having the same feature type as that corresponding to the sensing service feature is determined as the first sensing capability information.

7. The method according to any one of claims 1 to 6, characterized in that The calling of the at least one target sensing node to perform the sensing task includes: Dividing the sensing task into at least one sensing subtask corresponding to the at least one target sensing node; The perception subtask is sent to the corresponding target perception node through the AMF.

8. A perception task processing method, characterized in that: The method is applied to a sensing node, and the method comprises: Sending perception capability information to the core network so that the first network element determines at least one target perception node among the perception nodes according to the perception capability information, and calls the at least one target perception node to perform a perception task.

9. The method according to claim 8, characterized in that The sending the perception capability information to the core network includes at least one of the following: Under the task triggering of the perception service information, sending first perception capability information to the first network element through the AMF, wherein the first perception capability information includes a first perception capability feature of the perception node, and the first perception capability feature is the same as the feature type of the perception service feature in the perception service information; The AMF actively sends the second perception capability information to the second network element, wherein the second perception capability information is sent by the perception node when a trigger condition is met, and the second perception capability information includes all perception capability characteristics of the perception node.

10. The method according to claim 9, characterized in that Under the task triggering of the sensing service information, before sending the first sensing capability information to the first network element through the AMF, the method further includes: Receive the perception service information sent by the first network element through the AMF.

11. The method according to claim 9, characterized in that The trigger condition includes at least one of the following: The sensing node completes initialization; Arrival of the second sensing capability information sending period; The sensing capability of the sensing node changes.

12. The method according to any one of claims 8 to 11, characterized in that The method further comprises: Receiving a perception subtask sent by the first network element through the AMF; The task processing result corresponding to the perception subtask is sent to the core network through the AMF.

13. A perception task processing method, characterized in that: The method is applied to the core network side, and the method includes: Receiving a sensing service request sent by a terminal device UE, wherein the sensing service request includes sensing service information of a sensing task; Acquire first sensing capability information of a sensing node, wherein the sensing node includes at least one of a plurality of UEs and a plurality of base stations, the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information; Determining at least one target sensing node among the sensing nodes according to the first sensing capability information; Call the at least one target sensing node to execute the sensing task in a distributed manner.

14. The method according to claim 13, characterized in that The acquiring the first sensing capability information of the sensing node includes at least one of the following: receiving first sensing capability information matching the sensing service information and sent by the sensing node under the task triggering of the sensing service information; In the second sensing capability information actively sent by the sensing node, the first sensing capability information matching the sensing service information is determined, wherein the second sensing capability information includes all sensing capability characteristics of the sensing node.

15. The method according to claim 14, characterized in that Before the receiving sensing node sends first sensing capability information matching the sensing service information under the task triggering of the sensing service information, the method further includes: The sensing service information is sent to the sensing node.

16. The method according to claim 14, characterized in that Before determining, in the second sensing capability information actively sent by the sensing node, the first sensing capability information matching the sensing service information, the method further includes: Receive second perception capability information actively sent by the perception node, where the second perception capability information is sent by the perception node when a trigger condition is met.

17. The method according to claim 16, characterized in that The trigger condition includes at least one of the following: The sensing node completes initialization; Arrival of the second sensing capability information sending period; The sensing capability of the sensing node changes.

18. The method according to claim 16, after receiving the second sensing capability information actively sent by the sensing node, the method further comprises: Update the stored second perception capability information corresponding to the perception node.

19. A perception task processing method, characterized in that: The method comprises: The first network element receives a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task; The first network element sends the perception service information to the perception node through the AMF; The first network element receives first sensing capability information sent by the sensing node, wherein the first sensing capability information is sent by the sensing node to the first network element through the AMF under the task triggering of the sensing service information, and the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information; The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information; The first network element calls the at least one target sensing node to perform the sensing task.

20. A perception task processing method, characterized in that: The method comprises: The first network element receives a sensing service request sent by the terminal device UE through the access and mobility management function AMF, where the sensing service request includes sensing service information of the sensing task; The second network element receives, through the AMF, second sensing capability information sent by the sensing node, wherein the second sensing capability information is sent by the sensing node when a trigger condition is met, and the second sensing capability information includes all sensing capability characteristics of the sensing node; The first network element obtains the second perception capability information from the second network element, and determines, in the second perception capability information, first perception capability information matching the perception service information, wherein the first perception capability information includes the first perception capability information of the perception node. a first sensing capability feature, wherein the first sensing capability feature is of the same feature type as the sensing service feature in the sensing service information; The first network element determines at least one target sensing node among the sensing nodes according to the first sensing capability information; The first network element calls the at least one target sensing node to perform the sensing task.

21. A perception task processing device, characterized in that: The device is applied to a first network element, and the device includes: A receiving module, configured to receive a sensing service request sent by a terminal device UE through an access and mobility management function AMF, wherein the sensing service request includes sensing service information of a sensing task; a processing module, configured to obtain first sensing capability information of a sensing node, wherein the sensing node includes at least one of a plurality of UEs and a plurality of base stations, and the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information; a processing module, configured to determine at least one target sensing node among the sensing nodes according to the first sensing capability information; A processing module is used to call the at least one target perception node to perform the perception task.

22. A perception task processing device, characterized in that: The device is applied to a sensing node, and the device includes: The sending module is used to send perception capability information to the core network, so that the first network element determines at least one target perception node among the perception nodes according to the perception capability information, and calls the at least one target perception node to perform the perception task.

23. A perception task processing device, characterized in that: The device is applied to the core network side, and the device includes: A receiving module, configured to receive a sensing service request sent by a terminal device UE, wherein the sensing service request includes sensing service information of a sensing task; a processing module, configured to obtain first sensing capability information of a sensing node, wherein the sensing node includes at least one of a plurality of UEs and a plurality of base stations, and the first sensing capability information includes a first sensing capability feature of the sensing node, and the first sensing capability feature is the same as a feature type of a sensing service feature in the sensing service information; a processing module, configured to determine at least one target sensing node among the sensing nodes according to the first sensing capability information; A processing module is used to call at least one target perception node to execute the perception task in a distributed manner.

24. A perception task processing device, characterized in that: The device comprises: A receiving module, configured for the first network element to receive a sensing service request sent by a terminal device UE through an access and mobility management function AMF, wherein the sensing service request includes sensing service information of a sensing task; A sending module, configured for the first network element to send the perception service information to the perception node through the AMF; A receiving module, configured for the first network element to receive first perception capability information sent by the perception node, wherein the first perception capability information is sent by the perception node to the first network element through the AMF under the task triggering of the perception service information, wherein the first perception capability information includes a first perception capability feature of the perception node, and the first perception capability feature is the same as a feature type of a perception service feature in the perception service information; A processing module, configured for the first network element to determine at least one target sensing node among the sensing nodes according to the first sensing capability information; A processing module is used for the first network element to call the at least one target perception node to perform the perception task.

25. A perception task processing device, characterized in that: The device comprises: A receiving module, configured for the first network element to receive a sensing service request sent by a terminal device UE through an access and mobility management function AMF, wherein the sensing service request includes sensing service information of a sensing task; A receiving module, configured for a second network element to receive, through the AMF, second sensing capability information sent by the sensing node, wherein the second sensing capability information is sent by the sensing node when a trigger condition is met, and the second sensing capability information includes all sensing capability characteristics of the sensing node; a processing module, configured for the first network element to obtain the second perception capability information in the second network element, and to determine, in the second perception capability information, first perception capability information matching the perception service information, wherein the first perception capability information includes a first perception capability feature of the perception node, and the first perception capability feature is the same as a feature type of a perception service feature in the perception service information; A processing module, configured for the first network element to determine at least one target sensing node among the sensing nodes according to the first sensing capability information; A processing module is used for the first network element to call the at least one target perception node to perform the perception task.

26. A communication device, wherein: include: Transceiver; Memory; A processor is connected to the transceiver and the memory, respectively, and is configured to control the wireless signal reception and transmission of the transceiver by executing computer executable instructions on the memory, and can implement any one of the methods of claims 1-7.

27. A core network device, characterized in that: include: Transceiver; Memory; A processor is connected to the transceiver and the memory, respectively, and is configured to control the wireless signal reception and transmission of the transceiver by executing computer executable instructions on the memory, and can implement any one of the methods of claims 13 to 18.

28. A communication system, characterized in that: include: Transceiver; Memory; The processor is connected to the transceiver and the memory respectively, and is configured to control the wireless signal reception and transmission of the transceiver by executing computer executable instructions on the memory, and can implement the method described in claim 19 or 20.

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