Information processing method, network elements, and communication device

Abstract

The present disclosure relates to an information processing method, network elements, and a communication device. The information processing method comprises: a first network element sending first information, the first information being used for indicating a sensing computation task allocated to an access network device; the first network element receiving sensing data, the sensing data comprising sensing measurement data and a first sensing computation result; the first sensing computation result being a result obtained by the access network device performing a first computation on the sensing measurement data according to a model or algorithm required for the sensing computation task; the first network element performing, according to the sensing data, a second computation to obtain a second sensing computation result; and the first network element, by means of an NEF, sending the second sensing computation result to an AF. According to the embodiments of the present disclosure, the access network device can perform a preliminary computation on the sensing measurement data before a core network performs further computations. This fully leverages the computing resources of the access network device, thereby reducing computing pressure on the core network.

Description

Information processing method, network element and communication equipment Technical Field

[0001] The present disclosure relates to the field of communication technology, and in particular to an information processing method, a network element, and a communication device. Background Art

[0002] Integrated Sensing and Communication (ISAC) is a new information processing technology that enables the synergy of communication and perception functions. Perception will become a key capability and characteristic of future mobile communications. In the future, networks and terminals will possess both communication and perception capabilities, enabling services such as positioning, ranging, and imaging. This will accelerate the development of services such as autonomous driving and smart factories, improve spectrum efficiency, and reduce network deployment costs.

[0003] Summary of the Invention

[0004] The embodiments of the present disclosure provide an information processing method, a network element, and a communication device.

[0005] According to a first aspect of an embodiment of the present disclosure, an information processing method is provided, which is performed by a first network element. The method includes:

[0006] sending first information to the access network device through a third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0007] receiving perception data sent by the access network device through the third network element, the perception data including perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task;

[0008] Perform a second calculation based on the perception data to obtain a second perception calculation result;

[0009] The second perception calculation result is sent to the application function AF through the network open function NEF.

[0010] According to a second aspect of an embodiment of the present disclosure, an information processing method is provided, which is performed by a second network element. The method includes:

[0011] receiving fifth request information sent by the access network device, where the fifth request information is used to request a model or algorithm required for the perception computing task assigned to the access network device and stored in the second network element;

[0012] Second information is sent to the access network device, where the second information is used to indicate a model or algorithm required for the perception computing task, and the model or algorithm required for the perception computing task is used by the access network device to perform a first calculation on the perception measurement data.

[0013] According to a third aspect of an embodiment of the present disclosure, an information processing method is provided, which is performed by a third network element. The method includes:

[0014] receiving first information sent by a first network element, where the first information is used to indicate a perception computing task assigned to an access network device;

[0015] Sending the first information to the access network device;

[0016] receiving perception data sent by the access network device, the perception data including perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task;

[0017] The perception data is sent to the first network element, where the perception data is used by the first network element to perform a second calculation.

[0018] According to a fourth aspect of an embodiment of the present disclosure, an information processing method is provided, which is executed by an access network device. The method includes:

[0019] receiving first information sent by the first network element through the third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0020] Performing a first calculation on the perception measurement data according to a model or algorithm required by the perception computing task to obtain a first perception computing result;

[0021] The third network element sends perception data to the first network element, where the perception data includes the perception measurement data and the first perception calculation result, and the perception data is used by the first network element to perform the second calculation.

[0022] According to a fifth aspect of an embodiment of the present disclosure, an information processing method is provided, which is executed by an NEF. The method includes:

[0023] receiving a second perception calculation result sent by a first network element, where the second perception calculation result is a result obtained by the first network element performing a second calculation based on perception data, where the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by an access network device performing a first calculation on the perception measurement data based on a model or algorithm required by a perception computing task assigned to the access network device;

[0024] Send the second perception calculation result to AF.

[0025] According to a sixth aspect of an embodiment of the present disclosure, an information processing method is provided, which is performed by a core network device, the core network device including an NEF, a first network element, and a third network element. The method includes:

[0026] The first network element sends first information to the access network device through the third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0027] The first network element receives, by the access network device, perception data sent through the third network element, where the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task;

[0028] The first network element performs a second calculation based on the perception data to obtain a second perception calculation result;

[0029] The first network element sends the second perception calculation result to the NEF;

[0030] The NEF sends the second perception calculation result to the AF.

[0031] According to a seventh aspect of an embodiment of the present disclosure, a first network element is provided, including:

[0032] a transceiver module configured to send first information to an access network device via a third network element, the first information being used to indicate a perception computing task assigned to the access network device; and receive perception data sent by the access network device via the third network element, the perception data including perception measurement data and a first perception computing result, the first perception computing result being a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception computing task;

[0033] a processing module, configured to perform a second calculation based on the perception data to obtain a second perception calculation result;

[0034] The transceiver module is further configured to send the second perception calculation result to the AF through the NEF.

[0035] According to an eighth aspect of an embodiment of the present disclosure, a second network element is provided, including:

[0036] The transceiver module is configured to receive fifth request information sent by the access network device, where the fifth request information is used to request the model or algorithm required for the perception computing task assigned to the access network device and stored in the second network element; and send second information to the access network device, where the second information is used to indicate the model or algorithm required for the perception computing task, where the model or algorithm required for the perception computing task is used by the access network device to perform a first calculation on the perception measurement data.

[0037] According to a ninth aspect of an embodiment of the present disclosure, a third network element is provided, including:

[0038] The transceiver module is configured to receive first information sent by a first network element, where the first information is used to indicate a perception computing task assigned to an access network device; send the first information to the access network device; receive perception data sent by the access network device, where the perception data includes perception measurement data and a first perception computing result, where the first perception computing result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required for the perception computing task; and send the perception data to the first network element, where the perception data is used by the first network element to perform a second calculation.

[0039] According to a tenth aspect of an embodiment of the present disclosure, an access network device is provided, including:

[0040] a transceiver module configured to receive first information sent by the first network element via the third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0041] a processing module configured to perform a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task to obtain a first perception calculation result;

[0042] The transceiver module is further configured to send perception data to the first network element through the third network element, where the perception data includes the perception measurement data and the first perception calculation result, and the perception data is used by the first network element to perform the second calculation.

[0043] According to an eleventh aspect of the embodiments of the present disclosure, a NEF is provided, including:

[0044] The transceiver module is configured to receive a second perception calculation result sent by a first network element, where the second perception calculation result is a result obtained by the first network element performing a second calculation based on the perception data, where the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by an access network device performing a first calculation on the perception measurement data based on a model or algorithm required for the perception computing task assigned to the access network device; and send the second perception calculation result to the AF.

[0045] According to a twelfth aspect of an embodiment of the present disclosure, a communication device is provided, including:

[0046] one or more processors;

[0047] The communication device is used to execute the information processing method proposed in the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect or the sixth aspect.

[0048] According to the thirteenth aspect of an embodiment of the present disclosure, a storage medium is proposed, which stores instructions. When the instructions are executed on a communication device, the communication device executes the information processing method proposed in the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect or the sixth aspect.

[0049] According to the fourteenth aspect of an embodiment of the present disclosure, a core network device is proposed, which includes at least one of an NEF, a first network element, a second network element, and a third network element; wherein the NEF is configured to implement the information processing method proposed in the fifth aspect; the first network element is configured to implement the information processing method proposed in the first aspect; the second network element is configured to implement the information processing method proposed in the second aspect; and the third network element is configured to implement the information processing method proposed in the third aspect.

[0050] According to the fifteenth aspect of an embodiment of the present disclosure, a communication system is proposed, characterized in that the communication system includes a terminal device, an access network device and a core network device, and the core network device includes at least one of an NEF, a first network element, a second network element, and a third network element; wherein the access network device is configured to implement the information processing method proposed in the fourth aspect; the NEF is configured to implement the information processing method proposed in the fifth aspect; the first network element is configured to implement the information processing method proposed in the first aspect; the second network element is configured to implement the information processing method proposed in the second aspect; and the third network element is configured to implement the information processing method proposed in the third aspect.

[0051] According to the embodiments of the present disclosure, the access network device can first perform preliminary calculations on the perception measurement data, and then the core network performs further calculations based on the perception measurement data and the preliminary perception calculation results. Therefore, the computing resources of the access network device can be fully utilized and the computing pressure of the core network can be reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0053] FIG1A is a schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0054] FIG1B is a schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure.

[0055] FIG2A is an interactive schematic diagram of an information processing method provided according to an embodiment of the present disclosure.

[0056] FIG2B is an interactive diagram of an information processing method provided according to an embodiment of the present disclosure.

[0057] FIG3A is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0058] FIG3B is a flowchart of an information processing method according to an embodiment of the present disclosure.

[0059] FIG3C is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0060] FIG4A is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0061] FIG4B is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0062] FIG5 is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0063] FIG6A is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0064] FIG6B is a flowchart of an information processing method according to an embodiment of the present disclosure.

[0065] FIG6C is a flowchart of an information processing method according to an embodiment of the present disclosure.

[0066] FIG7A is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0067] FIG7B is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0068] FIG8 is a flow chart of an information processing method according to an embodiment of the present disclosure.

[0069] FIG9A is a schematic structural diagram of an access network device provided according to an embodiment of the present disclosure.

[0070] FIG9B is a schematic structural diagram of a first network element provided according to an embodiment of the present disclosure.

[0071] FIG9C is a schematic structural diagram of a second network element provided according to an embodiment of the present disclosure.

[0072] FIG9D is a schematic structural diagram of a third network element provided according to an embodiment of the present disclosure.

[0073] FIG9E is a schematic structural diagram of a network open function NEF provided according to an embodiment of the present disclosure.

[0074] FIG10A is a schematic structural diagram of a communication device provided according to an embodiment of the present disclosure.

[0075] FIG10B is a schematic structural diagram of a chip provided according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0076] The embodiments of the present disclosure provide an information processing method, a network element, and a communication device.

[0077] In a first aspect, an embodiment of the present disclosure provides an information processing method, which is performed by a first network element. The method includes:

[0078] sending first information to the access network device through a third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0079] receiving perception data sent by the access network device through the third network element, the perception data including perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task;

[0080] Perform a second calculation based on the perception data to obtain a second perception calculation result;

[0081] The second perception calculation result is sent to the application function AF through the network open function NEF.

[0082] In the above embodiment, the access network device can first perform preliminary calculations on the perception measurement data, and then the core network performs further calculations based on the perception measurement data and the preliminary perception calculation results. Therefore, the computing resources of the access network device can be fully utilized and the computing pressure of the core network can be reduced.

[0083] In combination with some embodiments of the first aspect, in some embodiments, the model or algorithm required for the perception computing task is obtained from the second network element.

[0084] In the above embodiment, the model or algorithm can be stored in the second network element, and the access network device can obtain the required model or algorithm from the second network element according to the assigned perception computing task in order to perform the perception computing task.

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

[0086] receiving a first request message sent by the NEF, where the first request message is a perception service request message;

[0087] Acquire first capability information, where the first capability information includes information related to computing capability and / or storage capability of the access network device;

[0088] Determine a perception computing task assigned to the access network device according to the first request information and the first capability information.

[0089] In the above embodiment, the first network element may determine the perception computing task to be allocated to the access network device based on the first request information and the computing resources / storage resources of the access network device.

[0090] With reference to some embodiments of the first aspect, in some embodiments, obtaining the first capability information includes:

[0091] Sending second request information to a second network element, where the second request information is used to request the first capability information stored in the second network element;

[0092] Receive the first capability information sent by the second network element.

[0093] In the above embodiment, the second network element may store information related to the computing capability and / or storage capability of the access network device, ie, first capability information, and the first network element may request the second network element to obtain the first capability information.

[0094] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0095] Acquire second capability information and third capability information, wherein the second capability information includes information related to the perception capability of the terminal device, and the third capability information includes information related to the perception capability of the access network device;

[0096] A perception device is determined according to the second capability information and the third capability information, where the perception device includes the terminal device and / or the access network device.

[0097] In the above embodiment, the first network element can determine the perception device based on the perception capabilities of the terminal device and the access network device (such as perception range and perception accuracy, etc.), and the perception device includes the terminal device and / or access network device participating in the perception.

[0098] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining the second capability information and the third capability information includes:

[0099] Sending third request information to the terminal device through the third network element, and sending fourth request information to the access network device through the third network element, where the third request information is used to request the second capability information, and the fourth request information is used to request the third capability information;

[0100] Receive the second capability information sent by the terminal device through the third network element, and receive the third capability information sent by the access network device through the third network element.

[0101] In the above embodiment, the first network element can request the terminal device to obtain capability information related to the perception capability of the terminal device, i.e., the second capability information, and request the access network device to obtain capability information related to the perception capability of the access network device, i.e., the third capability information, so as to determine the perception device.

[0102] In a second aspect, an embodiment of the present disclosure provides an information processing method, which is performed by a second network element. The method includes:

[0103] receiving fifth request information sent by the access network device, where the fifth request information is used to request a model or algorithm required for the perception computing task assigned to the access network device and stored in the second network element;

[0104] Second information is sent to the access network device, where the second information is used to indicate a model or algorithm required for the perception computing task, and the model or algorithm required for the perception computing task is used by the access network device to perform a first calculation on the perception measurement data.

[0105] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0106] receiving second request information sent by the first network element, where the second request information is used to request first capability information stored in the second network element, where the first capability information includes information related to computing capability and / or storage capability of the access network device;

[0107] The first capability information is sent to the first network element, where the first capability information is used by the first network element to determine a perception computing task assigned to the access network device.

[0108] In a third aspect, an embodiment of the present disclosure provides an information processing method, which is performed by a third network element. The method includes:

[0109] receiving first information sent by a first network element, where the first information is used to indicate a perception computing task assigned to an access network device;

[0110] Sending the first information to the access network device;

[0111] receiving perception data sent by the access network device, the perception data including perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task;

[0112] The perception data is sent to the first network element, where the perception data is used by the first network element to perform a second calculation.

[0113] In the above embodiment, the third network element may serve as an interface network element to format relevant information / data to improve the information / data processing efficiency of the first network element and the terminal device / access network device.

[0114] In combination with some embodiments of the third aspect, in some embodiments, the model or algorithm required for the perception computing task is obtained from the second network element.

[0115] In conjunction with some embodiments of the third aspect, in some embodiments, the method further includes:

[0116] receiving third request information sent by the first network element, and receiving fourth request information sent by the first network element, the third request information being used to request second capability information, the fourth request information being used to request third capability information, the second capability information including information related to perception capabilities of the terminal device, and the third capability information including information related to perception capabilities of the access network device;

[0117] Sending the third request information to the terminal device, and sending the fourth request information to the access network device;

[0118] receiving the second capability information sent by the terminal device, and receiving the third capability information sent by the access network device;

[0119] The second capability information is sent to the first network element, and the third capability information is sent to the first network element. The second capability information and the third capability information are used by the first network element to determine the perception device, and the perception device includes the terminal device and / or the access network device.

[0120] In a fourth aspect, an embodiment of the present disclosure provides an information processing method, which is executed by an access network device. The method includes:

[0121] receiving first information sent by the first network element through the third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0122] Performing a first calculation on the perception measurement data according to a model or algorithm required by the perception computing task to obtain a first perception computing result;

[0123] The third network element sends perception data to the first network element, where the perception data includes the perception measurement data and the first perception calculation result, and the perception data is used by the first network element to perform the second calculation.

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

[0125] Sending fifth request information to the second network element, where the fifth request information is used to request the model or algorithm required for the perception computing task stored in the second network element;

[0126] Receive second information sent by the second network element, where the second information is used to indicate a model or algorithm required for the perception computing task.

[0127] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0128] receiving fourth request information sent by the first network element through the third network element, where the fourth request information is used to request third capability information, where the third capability information includes information related to the sensing capability of the access network device, and the third capability information is used by the first network element to determine a sensing device;

[0129] The third capability information is sent to the first network element through the third network element.

[0130] In a fifth aspect, an embodiment of the present disclosure provides an information processing method, which is executed by an NEF. The method includes:

[0131] receiving a second perception calculation result sent by a first network element, where the second perception calculation result is a result obtained by the first network element performing a second calculation based on perception data, where the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by an access network device performing a first calculation on the perception measurement data based on a model or algorithm required by a perception computing task assigned to the access network device;

[0132] Send the second perception calculation result to AF.

[0133] In combination with some embodiments of the fifth aspect, in some embodiments, the model or algorithm required for the perception computing task is obtained from the second network element.

[0134] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0135] receiving a first request message sent by the AF, where the first request message is a sensing service request message;

[0136] Performs authentication of perception services;

[0137] Send the first request information to the first network element.

[0138] In a sixth aspect, an embodiment of the present disclosure provides an information processing method, which is performed by a core network device, the core network device including an NEF, a first network element, and a third network element, the method including:

[0139] The first network element sends first information to the access network device through the third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0140] The first network element receives, by the access network device, perception data sent through the third network element, where the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task;

[0141] The first network element performs a second calculation based on the perception data to obtain a second perception calculation result;

[0142] The first network element sends the second perception calculation result to the NEF;

[0143] The NEF sends the second perception calculation result to the AF.

[0144] In a seventh aspect, an embodiment of the present disclosure provides a first network element, including:

[0145] a transceiver module configured to send first information to an access network device via a third network element, the first information being used to indicate a perception computing task assigned to the access network device; and receive perception data sent by the access network device via the third network element, the perception data including perception measurement data and a first perception computing result, the first perception computing result being a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception computing task;

[0146] a processing module, configured to perform a second calculation based on the perception data to obtain a second perception calculation result;

[0147] The transceiver module is further configured to send the second perception calculation result to the AF through the NEF.

[0148] In an eighth aspect, an embodiment of the present disclosure provides a second network element, including:

[0149] The transceiver module is configured to receive fifth request information sent by the access network device, where the fifth request information is used to request the model or algorithm required for the perception computing task assigned to the access network device and stored in the second network element; and send second information to the access network device, where the second information is used to indicate the model or algorithm required for the perception computing task, where the model or algorithm required for the perception computing task is used by the access network device to perform a first calculation on the perception measurement data.

[0150] In a ninth aspect, an embodiment of the present disclosure provides a third network element, including:

[0151] The transceiver module is configured to receive first information sent by a first network element, where the first information is used to indicate a perception computing task assigned to an access network device; send the first information to the access network device; receive perception data sent by the access network device, where the perception data includes perception measurement data and a first perception computing result, where the first perception computing result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required for the perception computing task; and send the perception data to the first network element, where the perception data is used by the first network element to perform a second calculation.

[0152] In a tenth aspect, an embodiment of the present disclosure provides an access network device, including:

[0153] a transceiver module configured to receive first information sent by the first network element via the third network element, where the first information is used to indicate a perception computing task assigned to the access network device;

[0154] a processing module configured to perform a first calculation on the perception measurement data according to a model or algorithm required by the perception calculation task to obtain a first perception calculation result;

[0155] The transceiver module is further configured to send perception data to the first network element through the third network element, where the perception data includes the perception measurement data and the first perception calculation result, and the perception data is used by the first network element to perform the second calculation.

[0156] In an eleventh aspect, an embodiment of the present disclosure provides a NEF, including:

[0157] The transceiver module is configured to receive a second perception calculation result sent by a first network element, where the second perception calculation result is a result obtained by the first network element performing a second calculation based on the perception data, where the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by an access network device performing a first calculation on the perception measurement data based on a model or algorithm required for the perception computing task assigned to the access network device; and send the second perception calculation result to the AF.

[0158] In a twelfth aspect, an embodiment of the present disclosure provides a communication device, characterized by including:

[0159] one or more processors;

[0160] The communication device is used to execute the method described in the optional implementation of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect or the sixth aspect.

[0161] In the thirteenth aspect, an embodiment of the present disclosure proposes a storage medium, which stores instructions. When the instructions are executed on a communication device, the communication device executes the method described in the optional implementation of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect or the sixth aspect.

[0162] In the fourteenth aspect, an embodiment of the present disclosure proposes a core network device, which includes at least one of an NEF, a first network element, a second network element, and a third network element; wherein, the NEF is configured to implement the method described in the optional implementation manner of the fifth aspect, the first network element is configured to implement the method described in the optional implementation manner of the first aspect, the second network element is configured to implement the method described in the optional implementation manner of the second aspect, and the third network element is configured to implement the method described in the optional implementation manner of the third aspect.

[0163] In the fifteenth aspect, an embodiment of the present disclosure proposes a communication system, which includes a terminal device, an access network device and a core network device, and the core network device includes at least one of an NEF, a first network element, a second network element and a third network element; wherein, the access network device is configured to implement the method described in the optional implementation manner of the fourth aspect, the NEF is configured to implement the method described in the optional implementation manner of the fifth aspect, the first network element is configured to implement the method described in the optional implementation manner of the first aspect, the second network element is configured to implement the method described in the optional implementation manner of the second aspect, and the third network element is configured to implement the method described in the optional implementation manner of the third aspect.

[0164] In the sixteenth aspect, an embodiment of the present disclosure proposes a program product, which, when executed by a communication device, enables the communication device to execute the method described in the optional implementation manner of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect or the sixth aspect.

[0165] In the seventeenth aspect, an embodiment of the present disclosure proposes a computer program, which, when running on a computer, enables the computer to execute the method described in the optional implementation of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect or the sixth aspect.

[0166] In an eighteenth aspect, an embodiment of the present disclosure provides a chip or a chip system. The chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first aspect, the second aspect, the third aspect, the fourth aspect, the fifth aspect, or the sixth aspect.

[0167] It is understandable that the above-mentioned access network devices, core network devices (e.g., first network element, second network element, third network element, NEF), communication devices, communication systems, storage media, program products, computer programs, chips, or chip systems can all be used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0168] The embodiments of the present disclosure provide an information processing method, a network element, and a communication device. In some embodiments, the terms information processing method and communication method can be used interchangeably.

[0169] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0170] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0171] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0172] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0173] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0174] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0175] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0176] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0177] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0178] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0179] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0180] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0181] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0182] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0183] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0184] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc.

[0185] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0186] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0187] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0188] FIG1A is a schematic diagram illustrating an architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1A , the communication system 100 may include a terminal device 101 , an access network device 102 , and a core network device 103 .

[0189] In some embodiments, the terminal device 101 may include at least one of a mobile phone, a wearable device, an Internet of Things device, a car with communication capabilities, a smart car, a tablet computer, a computer with wireless transceiver capabilities, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in smart grid, a wireless terminal device in transportation safety, a wireless terminal device in smart city, and a wireless terminal device in smart home, but is not limited thereto.

[0190] In some embodiments, the access network device may be a node or device that accesses the terminal device to the wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a Wi-Fi system, but is not limited thereto.

[0191] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0192] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit (Control Unit). The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0193] In some embodiments, the core network device 103 may be a device including multiple network elements, or may be multiple devices or device groups, each including all or part of multiple network elements. The network element may be virtual or physical. The core network device may include at least one of an evolved packet core (EPC), a 5G core network (5G Core Network, 5GCN), a 6G core network (5GCN), a next generation core (NGC), or other core network devices.

[0194] In some embodiments, the core network device 103 may include at least one of a network open function NEF, a first network element, a second network element, and a third network element.

[0195] FIG1B is a schematic diagram illustrating an architecture of a communication system according to an embodiment of the present disclosure. As shown in FIG1B , the communication system 100 may include a terminal device 101 , an access network device 102 , and a core network device 103 .

[0196] In some embodiments, the core network device 103 may include at least one of the following: a first network element 10301, a second network element 10302, a third network element 10303, a network exposure function (NEF) 10304, an access and mobility management function (AMF) 10305, a user plane function (UPF) 10306, a gateway (GW) 10307, ​​a session management function (SMF) 10308, a policy control function (PCF) 10309, a unified data management (UDM) 10310, a network slice selection function (NSSF) 10311, an authentication service function (AUSF) 10312, and a location management function (LMF) 10313.

[0197] In some embodiments, the first network element 10301 may be a Network Intelligent Computing Function (NICF).

[0198] In some embodiments, the first network element 10301 may be a network element having computing and scheduling functions for sensing tasks, but the name is not limited thereto.

[0199] In some embodiments, the second network element 10302 may be a network data repository function (NDRF).

[0200] In some embodiments, the second network element 10302 may be a network element with a network data storage function, but the name is not limited thereto.

[0201] In some embodiments, the third network element 10303 may be a network data collection function (NDCF).

[0202] In some embodiments, the third network element 10303 may be a network element with a network data collection function, but the name is not limited thereto.

[0203] In some embodiments, the first network element may include at least one of the following: a task computing function and a task scheduling function.

[0204] This task computing function retrieves data collected and stored by the third network element (NDCF), providing model training and inference decisions throughout the AI ​​lifecycle. During task execution, data and signaling are exchanged between different nodes. Model training utilizes distributed AI models such as federated learning, split learning, and multi-agent reinforcement learning. The first network element (NICF) acts as a scheduler, collaborating with access network devices (such as gNBs) and terminal devices to distribute data and models. After training, the first network element (NICF) uses test data from the data plane to make inference decisions and provide results.

[0205] This task scheduling function is responsible for the control and scheduling of AI task execution, including information collection control and resource management scheduling. Information collection control refers to the ability of the first network element (NICF) to perceive the computing load, data processing capabilities, AI algorithm model, and channel status information of each network node. It can adjust AI models and task ratios in real time, and can also adjust connection and computing power allocation in real time as the network environment changes.

[0206] In some embodiments, the third network element (NDCF) can obtain real-time network information from different network functions (NFs), such as real-time network traffic, network congestion, and illegal access. It can also collect data transmitted by functional network elements, access network devices, and terminal devices. The third network element (NDCF) can serve as an interface for transmitting perception data and artificial intelligence (AI) model data.

[0207] In some embodiments, the second network element (NDRF) can integrate storage-related functions, such as network repository function (NRF), unified data repository (UDR), unstructured data storage function (UDSF), and advanced data repository function (ADRF). The second network element can store information including user data (user registration data, service-related data), NF configuration files, network data (network service SLA data, network node load), and computing-related data (AI training data, computing resource status, location assistance information). It can also store the calculation results as historical data and provide them to business consumers, thereby reducing resource waste caused by redundant calculations.

[0208] In some embodiments, the AMF may perform functions and signaling interactions related to access control and mobility management of terminal devices, including initiating the authentication process, mobility management during handover, and location update. Optionally, the AMF may be a network element with access and mobility management functions, but the name is not limited to this.

[0209] In some embodiments, the NEF can provide an interface for third-party applications and service providers, enabling them to access and utilize the network capabilities of the communication system, such as subscribing to network events or influencing policy decisions. The third-party application and service provider can be an application function (AF) 104. Alternatively, the NEF can be a network element with network exposure capabilities, but the name is not limited to this.

[0210] In some embodiments, the UPF can process and forward data packets from terminal devices, support handoffs between networks, establish IPSec security associations to protect data transmission, and perform traffic direction and policy enforcement according to the instructions of the SMF. Optionally, the UPF can be a network element with this function, and the name is not limited to this.

[0211] In some embodiments, the GW may be a data gateway or an anchor gateway, which can implement data exchange between the communication system and an external network (such as the Internet). Alternatively, the GW may be a network element with this function, and the name is not limited thereto.

[0212] In some embodiments, the SMF can manage the packet data unit (PDU) session of the terminal device, and can implement Internet Protocol (IP) address allocation, Quality of Service (QoS) policy execution, network slice selection, and path configuration for forwarding data packets through the UPF. Optionally, the SMF can be a network element with this function, and the name is not limited to this.

[0213] In some embodiments, the PCF can configure and implement service policies for terminal devices, such as bandwidth restrictions, QoS policies, and other network behavior rules. Optionally, the PCF can be a network element with this function, and the name is not limited thereto.

[0214] In some embodiments, the UDM may store user data and perform user data management and authentication.

[0215] In some embodiments, NSSF can determine which specific network slice the terminal device accesses in order to provide a customized service experience.

[0216] In some embodiments, NSSF can authenticate the terminal device, store and process the user's authentication data, and ensure the security of network access.

[0217] In some embodiments, NSSF may support location services for terminal devices, including acquisition, storage, and distribution of location information.

[0218] In some embodiments, the core network device 103 may include at least one of the following: a control plane interface 10331 and a data plane interface 10332. The control plane interface may be used to implement control plane message forwarding between multiple network elements of the core network device, and the data plane interface may be used to implement data forwarding between multiple network elements of the core network device. Optionally, the control plane interface may be implemented based on the Stream Control Transmission Protocol (SCTP), and the data plane interface may be implemented based on the User Datagram Protocol (UDP).

[0219] In some embodiments, the communication system may further include an application function (AF) 104. The AF may represent a non-3GPP system or a third-party application and may interact with other network elements in the core network device to implement specific application requirements or service logic. Optionally, the AF may be a network element in the core network device or an independent network element outside the core network device.

[0220] In some embodiments, the communication system may further include a data network (DN) 105. The DN may be the final destination network, such as the public Internet, a private network, or other data carrier network, and may be the actual service data source to be accessed by the terminal device after access. Alternatively, the DN may be an independent network outside the communication system 100.

[0221] Optionally, the specific implementation method of each network element of the above-mentioned core network device can also refer to the description of relevant technologies (such as 3GPP protocol), which will not be repeated here.

[0222] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution proposed in the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution proposed in the embodiment of the present disclosure is also applicable to similar technical problems.

[0223] The following embodiments of the present disclosure can be applied to the communication system or partial entities shown in Figure 1A or Figure 1B, but are not limited thereto. The entities shown in Figure 1A or Figure 1B are examples. The communication system may include all or part of the entities in Figure 1A or Figure 1B, or may include other entities other than Figure 1A or Figure 1B. The number and form of each entity are arbitrary. Each entity can be physical or virtual. The connection relationship between the entities is an example. The entities can be connected or disconnected. The connection can be in any manner, either directly or indirectly, and can be wired or wireless.

[0224] The embodiments of the present disclosure may be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G New Radio (NR), Future Radio Access (FRA), New-Radio Access Technology (RAT), New Radio (NR), New Radio Access (NX), Future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.17 (WiMAX (registered trademark)), IEEE 802.18 (WiMAX (registered trademark)), IEEE 802.19 (WiMAX (registered trademark)), IEEE 802.20 (WiMAX (registered trademark)), IEEE 802.21 (WiMAX (registered trademark)), IEEE 802.22 (WiMAX (registered trademark)), IEEE 802.23 (WiMAX (registered trademark)), IEEE 802.24 (WiMAX (registered trademark)), IEEE 802.25 (WiMAX (registered trademark)), IEEE 802.26 (WiMAX (registered trademark)), IEEE 802.27 (WiMAX (registered trademark)), IEEE 802.28 (WiMAX (registered trademark)), IEEE 802.29 (WiMAX (registered trademark)), IEEE 802.30 (WiMAX (registered trademark)), IEEE 802.31 (WiMAX (registered trademark)), IEEE 802.32 (WiMAX (registered trademark)), IEEE 802.33 (WiMAX (registered trademark)), 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication methods, and next-generation systems based on and extending these methods. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0225] In some embodiments of the present disclosure, the above-mentioned communication system may support ISAC, which combines wireless communication and wireless perception and introduces close cooperation between the two, thereby improving spectrum efficiency and reducing network deployment costs.

[0226] In some embodiments, the terminal device and / or the access network device can both realize wireless sensing. In the communication system, there can be one or more terminal devices and one or more access network devices.

[0227] In some embodiments, to implement an ISAC network architecture, a service-based interface can be used within the control plane. This ISAC network architecture can reuse existing core network functions to implement sensing capabilities. Optionally, a sensing function (SF) can be added to core network devices. Based on the service-oriented interface, the SF can call interfaces of other functions and provide services. Optionally, the sensing function can be integrated with the LMF and / or other functions.

[0228] Optionally, SF can provide at least one of the following functions:

[0229] Receives sensing service requests from terminal devices or third-party applications;

[0230] Control the measurement process of access network equipment and terminal equipment, including authentication, discovery, capability negotiation and configuration, and perception mode selection;

[0231] Acquire perception data and perform calculations and processing to obtain perception results.

[0232] However, the ISAC system architecture does not consider the collaboration of perception and computing tasks, and can only be performed within core network devices, unable to utilize the capabilities of access network devices. Therefore, some embodiments of the present disclosure provide an information processing method that enables access network devices to participate in computing, thereby utilizing the computing resources of access network devices.

[0233] FIG2A is an interactive diagram illustrating an information processing method according to an embodiment of the present disclosure. The method may be executed by the above-mentioned communication system. As shown in FIG2A , the method may include:

[0234] Step S2101: AF sends a first request message to NEF.

[0235] In some embodiments, the NEF may receive the first request information. For example, the NEF may receive the first request information sent by the AF.

[0236] In some embodiments, the first request information is sensing service request information.

[0237] In some embodiments, the first request information is used to request execution of the perception service.

[0238] In some embodiments, the first request information may include at least one of the following: a perception service type (also referred to as a perception type, business type, or service type) corresponding to the perception service; and a perception service requirement (also referred to as a perception requirement or a perception QoS requirement). The perception service type may include, but is not limited to, at least one of vehicle speed detection, intrusion detection, and environmental monitoring. The perception service requirement may include, but is not limited to, at least one of perception resolution, perception accuracy, perception distance, perception speed, perception angle, perception latency, perception target area information, and perception target information.

[0239] Step S2102: NEF performs perception service authentication.

[0240] In some embodiments, the awareness service authentication is used to determine whether to request the execution of the awareness service.

[0241] In some embodiments, the NEF may perform awareness service authentication on the awareness service request of the AF based on the first request information and authorization information, and the authorization information may be stored in the NEF or the UDM.

[0242] In one implementation, if the terminal device and / or access network device does not allow a specific type of service to obtain perception measurement data and / or perception calculation results related to itself, the authentication fails and the NEF may reject the perception service request. If the authentication passes, the NEF may execute step S2103 and send the first request information to the first network element. Optionally, the perception measurement data may be data obtained by a perception device (e.g., a terminal device and / or access network device) performing perception measurement, and the perception calculation result may be a result calculated based on the perception measurement data.

[0243] In some embodiments, step S2102 is an optional step.

[0244] Step S2103: The NEF sends a first request message to the first network element.

[0245] In some embodiments, the first network element may receive the first request information. For example, the first network element may receive the first request information sent by the NEF.

[0246] In some embodiments, the name of the first network element is not limited, and may be, for example, "Network Intelligent Computing Function (NICF)".

[0247] In some embodiments, the NEF may forward the first request information received from the AF to the first network element.

[0248] Step S2104: The first network element sends a second request message to the second network element.

[0249] In some embodiments, the second network element may receive the second request information. For example, the second network element may receive the second request information sent by the first network element.

[0250] In some embodiments, the second request information is used to request first capability information stored in the second network element, where the first capability information includes information related to the computing capability and / or storage capability of the access network device. For example, the first capability information may include at least one of the following information of the access network device: computing resources, storage resources, central processing unit (CPU) model, graphics processing unit (GPU) model, memory size, etc.

[0251] In some embodiments, the name of the second network element is not limited, for example, it can be "Network Data Storage Function (NDRF)" or the like.

[0252] In some embodiments, the name of the second request information is not limited, for example, it can be "sensing ability request information", "ability request information", etc.

[0253] Step S2105: The second network element sends first capability information to the first network element.

[0254] In some embodiments, the first network element may receive the first capability information. For example, the first network element may receive the first capability information sent by the second network element.

[0255] In some embodiments, the name of the first capability information is not limited, for example, it can be "perception capability request response information", "capability request response information", etc.

[0256] In some embodiments, the second network element retrieves the first capability information of the access network device and returns it to the first network element.

[0257] In some embodiments, the second request information may include an identifier of the access network device. Through the identifier of the access network device, the second network element may retrieve the first capability information corresponding to the access network device.

[0258] In some embodiments, the second network element may locally store the first capability information.

[0259] In some embodiments, the second network element may obtain the first capability information of the access network device and store the information in the second network element.

[0260] For example, the access network device may send the identifier of the access network device, the first capability information, etc. to the second network element in advance.

[0261] For another example, the access network device may periodically send its first capability information to the second network element, and the period may be a relatively long period, such as one hour, one day, or one week.

[0262] For another example, when the first capability information of the access network device changes, the access network device may send the updated first capability information to the second network element. The second network element may update the first capability information corresponding to the access network device. In this way, the accuracy of the first capability information stored by the second network element can be ensured.

[0263] In some embodiments, steps S2104 to S2105 are all optional steps. In some embodiments of the present disclosure, there may be multiple ways for the first network element to obtain the first capability information. In one implementation, the first network element may obtain the first capability information through at least one of the above steps S2104 and S2105. In one implementation, the second network element may actively send the first capability information to the first network element. In one implementation, the first network element may also store the first capability information, and the above steps S2104 and S2105 may be omitted.

[0264] Step S2106: The first network element sends a third request message to the terminal device.

[0265] In some embodiments, the first network element sends the third request information to the terminal device through the third network element. Optionally, the first network element sends the third request information to the terminal device through the third network element, the AMF and the access network device.

[0266] In some embodiments, the terminal device can receive third request information, for example, the terminal device can receive third request information sent by the first network element through the third network element. Optionally, the terminal device can receive third request information sent by the first network element through the third network element, AMF and access network device.

[0267] In some embodiments, the name of the third network element is not limited, for example, it can be "Network Data Collection Function (NDCF)" or the like.

[0268] In some embodiments, the third request information is used to request second capability information, and the second capability information includes information related to the perception capability of the terminal device.

[0269] In some embodiments, the name of the third request information is not limited, for example, it can be "sensing ability report request information", "sensing ability reporting request information", "sensing ability reporting indication information", "sensing ability request information", "ability request information", etc.

[0270] Step S2107: The first network element sends fourth request information to the access network device.

[0271] In some embodiments, the first network element sends the fourth request information to the access network device through the third network element. Optionally, the first network element sends the fourth request information to the access network device through the third network element and the AMF.

[0272] In some embodiments, the access network device can receive the fourth request information, for example, the access network device can receive the fourth request information sent by the first network element through the third network element. Optionally, the access network device can receive the fourth request information sent by the first network element through the third network element and AMF.

[0273] In some embodiments, the fourth request information is used to request third capability information, where the third capability information includes information related to the sensing capability of the access network device.

[0274] In some embodiments, the name of the fourth request information is not limited, for example, it can be "perception capability report request information", "perception capability reporting request information", "perception capability reporting indication information", "perception capability request information", "capability request information", etc.

[0275] Step S2108: The terminal device sends the second capability information to the first network element.

[0276] In some embodiments, the terminal device sends the second capability information to the first network element via the third network element. Optionally, the terminal device sends the second capability information to the first network element via the access network device, the AMF, and the third network element.

[0277] In some embodiments, the third request information may include a sensing capability feature list, where the sensing capability feature list may include at least one of the following: sensing distance, sensing range, sensing distance resolution, sensing speed resolution, etc. The terminal device sends corresponding second capability information to the first network element according to the capability feature list.

[0278] In some embodiments, the terminal device may periodically send the second capability information to the first network element.

[0279] In some embodiments, the terminal device may send the second capability information to the first network element in response to receiving the third request information.

[0280] In some embodiments, the terminal device may periodically send the second capability information to the first network element in response to receiving the third request information. For example, the terminal device may send the second capability information every N seconds or N minutes, where N is a positive number.

[0281] In some embodiments, the terminal device may send the second capability information to the first network element in response to receiving the third request information, and send the updated second capability information to the first network element within a preset time thereafter when the second capability information changes.

[0282] Step S2109: The access network device sends the third capability information to the first network element.

[0283] In some embodiments, the access network device sends the third capability information to the first network element via the third network element. Optionally, the access network device may send the third capability information to the first network element via the AMF and the third network element.

[0284] In some embodiments, the fourth request information may include a sensing capability feature list, which may include at least one of the following: sensing distance, sensing range, sensing distance resolution, sensing speed resolution, etc. The access network device sends corresponding third capability information to the first network element according to the capability feature list.

[0285] In some embodiments, the access network device may periodically send the third capability information to the first network element.

[0286] In some embodiments, the access network device may send third capability information to the first network element in response to receiving the fourth request information.

[0287] In some embodiments, the access network device may periodically send the third capability information to the first network element in response to receiving the fourth request information. For example, the access network device may send the third capability information every M seconds or M minutes, where M is a positive number.

[0288] In some embodiments, the access network device may send the third capability information to the first network element in response to receiving the fourth request information, and send the updated third capability information to the first network element within a preset time thereafter when the third capability information changes.

[0289] In some embodiments, the third network element may serve as an interface network element to format relevant information / data to improve the information / data processing efficiency of the first network element and the terminal device / access network device.

[0290] In some embodiments, steps S2106 to S2109 are all optional steps.

[0291] In some embodiments of the present disclosure, the first network element may obtain the second capability information in various ways. In one implementation, the first network element may obtain the second capability information through at least one of steps S2106 and S2108. In one implementation, the terminal device may proactively send the second capability information to the first network element. In another implementation, the first network element may also store the second capability information, and steps S2106 and S2108 may be omitted.

[0292] In some embodiments of the present disclosure, the first network element may obtain the third capability information in various ways. In one implementation, the first network element may obtain the third capability information through at least one of steps S2107 and S2109. In one implementation, the access network device may proactively send the third capability information to the first network element. In another implementation, the first network element may also store the third capability information, and steps S2107 and S2109 may be omitted.

[0293] Step S2110: The first network element determines a sensing device.

[0294] In some embodiments, the first network element determines the perception device based on the second capability information and the third capability information. The perception device includes a terminal device and / or access network device participating in the perception. The terminal device participating in the perception may be one or more, and the access network device participating in the perception may be one or more.

[0295] According to the above embodiment, the first network element may determine the sensing device based on the sensing capabilities (such as sensing range and sensing accuracy) of the terminal device and the access network device.

[0296] In some embodiments, the first network element determines a sensing mode to thereby determine the sensing device, where the sensing mode includes at least one of the following:

[0297] Based on the perception mode of terminal equipment;

[0298] Based on the perception mode of access network equipment;

[0299] A perception model based on the collaboration between terminal devices and access network devices.

[0300] In some embodiments, the perception measurement may be measuring a wireless signal (eg, a perception signal or a perception reference signal) to obtain perception measurement data.

[0301] In some embodiments, perceptual computing can perform calculations on perceptual measurement data to obtain perceptual computing results, and the above-mentioned calculations may include at least one of the following: data preprocessing, data calculation, and inputting the perceptual measurement data into an artificial intelligence AI model to obtain model output data.

[0302] For the access network device-based perception mode, the perception device includes the access network device. In some embodiments, the access network device performs perception measurement and perception calculation.

[0303] For the perception mode based on the terminal device, the perception device includes the terminal device. In some embodiments, the terminal device performs perception measurement, the terminal device sends the perception measurement data to the access network device, and the access network device performs perception calculation.

[0304] For the perception mode based on the collaboration between the terminal device and the access network device, the perception device includes the terminal device and the access network device. In some embodiments, the terminal device and the access network device perform perception measurement, both the terminal device and the access network device obtain perception measurement data, the terminal device sends the perception measurement data to the access network device, the access network device aggregates the perception measurement data of itself and the terminal device, and the access network device performs perception calculation.

[0305] In some embodiments, after determining the sensing mode, the first network element may further configure corresponding sensing parameter information, where the sensing parameter information may include at least one of the following:

[0306] Perception patterns;

[0307] Perceived service requirements (also known as perceived requirements, perceived QoS requirements).

[0308] The perception service requirements may include but are not limited to at least one of perception resolution, perception accuracy, perception distance, perception speed, perception angle, perception delay, perception target area information, perception target information, and the like.

[0309] The sensing service requirement may be used to determine sensing resources, such as determining the bandwidth and time period of the sensing resources.

[0310] The perception parameter information may be included in the perception control command.

[0311] Step S2111: The first network element determines a perception computing task assigned to the access network device.

[0312] In some embodiments, the first network element determines the perception computing task (also referred to as perception processing task or perception data processing task) assigned to the access network device based on the first request information and the first capability information.

[0313] According to the above embodiment, the first network element can allocate computing power based on the computing resources and / or storage resources of the access network device and the core network, thereby determining the perception computing task assigned to the access network device. For example, when the categories of perception measurement data are relatively complex, the access network device can only perform relatively simple computing tasks and can only perform data preprocessing and some simple data analysis. For another example, when the amount of perception measurement data is small or the perception task is simple ranging and speed measurement, etc., and does not involve high-precision target positioning, the access network device can be prioritized for model training and inference, thereby reducing the computing pressure on the core network.

[0314] The access network equipment can calculate the perception measurement data according to the assigned perception computing task. The above calculation may include at least one of the following: data preprocessing, data calculation, inputting the perception measurement data into the artificial intelligence AI model to obtain model output data, etc.

[0315] Step S2112: The first network element sends first information to the access network device.

[0316] In some embodiments, the first network element sends the first information to the access network device through the third network element.

[0317] In some embodiments, the access network device can receive the first information, for example, the access network device can receive the first information sent by the first network element through the third network element. Optionally, the access network device can receive the first information sent by the first network element through the AMF and the third network element.

[0318] In some embodiments, the first information is used to indicate a perception computing task assigned to the access network device.

[0319] In some embodiments, the name of the first information is not limited, and may be, for example, “task allocation information”, “computing task allocation information”, etc.

[0320] Step S2113: The access network device sends fifth request information to the second network element.

[0321] In some embodiments, the second network element may receive the fifth request information. For example, the second network element may receive the fifth request information sent by the access network device.

[0322] In some embodiments, the fifth request information is used to request a model or algorithm stored in the second network element.

[0323] Step S2114: The second network element sends second information to the access network device.

[0324] In some embodiments, the access network device may receive the second information. For example, the access network device may receive the second information sent by the second network element.

[0325] In some embodiments, the second information is used to indicate a model or algorithm required for the perceptual computing task, for example, the second information includes the model or algorithm required for the perceptual computing task.

[0326] In some embodiments, the fifth request information may include an identifier of a model or algorithm required for the perceptual computing task, and the second network element retrieves the corresponding model or algorithm and returns it to the access network device. In this way, the access network device can obtain the model or algorithm required for the perceptual computing task.

[0327] In some embodiments, steps S2113 to S2114 are all optional steps. In some embodiments of the present disclosure, there may be multiple ways for the access network device to obtain the required model or algorithm. In one implementation, the access network device may obtain the required model or algorithm through at least one of the above steps S2113 and S2114. In one implementation, the second network element may actively send second information (for indicating the required model or algorithm) to the access network device. In one implementation, the required model or algorithm is stored in the access network device. In one implementation, the access network device does not need to use a model or algorithm for calculation.

[0328] Step S2115: The terminal device and / or access network device performs perception measurement.

[0329] In some embodiments, the first network element sends a perception control command to the terminal device and / or access network device participating in the perception through the third network element. The terminal device and / or access network device participating in the perception responds to the perception control command, performs perception measurement, and obtains perception measurement data.

[0330] The following is an explanation based on different perception modes:

[0331] (1) Based on the perception mode of terminal equipment:

[0332] The first network element sends a first perception control command to the terminal device, where the first perception control command includes at least one item, such as the terminal device participating in perception, reporting conditions for perception measurement data, perception mode, and perception service requirements.

[0333] Optionally, the first network element may send a first perception control command to the terminal device through a third network element, AMF and access network equipment.

[0334] In response to receiving the first perception control command, the terminal device performs perception measurement and obtains perception measurement data.

[0335] The terminal device sends the perception measurement data to the access network device.

[0336] (2) Perception mode based on access network equipment:

[0337] The first network element sends a second perception control command to the access network device, where the second perception control command includes at least one of a reporting condition for perception measurement data, a perception mode, and a perception service requirement.

[0338] Optionally, the first network element may send a second perception control command to the access network device through a third network element and AMF.

[0339] In response to receiving the second perception control command, the access network device performs perception measurement and obtains perception measurement data.

[0340] (3) Perception mode based on collaboration between terminal devices and access network devices:

[0341] The first network element sends a first perception control command to the terminal device and sends a second perception control command to the access network device. The first perception control command includes at least one item such as the terminal device participating in perception, the reporting conditions of the perception measurement data, the perception mode, and the perception service requirements. The second perception control command includes at least one item such as the reporting conditions of the perception measurement data, the perception mode, and the perception service requirements.

[0342] Optionally, the first network element may send a first perception control command to the terminal device through a third network element, AMF and access network equipment.

[0343] Optionally, the first network element may send a second perception control command to the access network device through a third network element and AMF.

[0344] In response to receiving the first perception control command, the terminal device performs perception measurement and obtains perception measurement data.

[0345] In response to receiving the second perception control command, the access network device performs perception measurement and obtains perception measurement data. Therefore, both the terminal device and the access network device obtain perception measurement data.

[0346] The terminal device sends perception measurement data to the access network device, and the access network device aggregates the perception measurement data of itself and the terminal device.

[0347] Step S2116: The access network device performs a first calculation on the perception measurement data to obtain a first perception calculation result.

[0348] In some embodiments, the access network device performs a first calculation on the perception measurement data (including the perception measurement data obtained by the terminal device and / or the access network device performing perception measurement) to obtain a first perception calculation result.

[0349] In some embodiments, the access network device performs a first calculation on the perception measurement data according to a model or algorithm required by the perception computing task to obtain a first perception computing result.

[0350] In some embodiments, the first calculation performed by the access network device on the perception measurement data includes at least one of the following: data preprocessing, data calculation, inputting the perception measurement data into an artificial intelligence AI model to obtain model output data, etc.

[0351] Step S2117: The access network device sends the perception data to the first network element.

[0352] In some embodiments, the access network device sends the perception data to the first network element via the third network element. Optionally, the access network device sends the perception data to the first network element via the UPF and the third network element.

[0353] In some embodiments, the first network element can receive perception data, for example, the first network element can receive perception data sent by the access network device through the third network element. Optionally, the first network element can receive perception data sent by the access network device through the UPF and the third network element.

[0354] In some embodiments, the perception data includes perception measurement data and a first perception calculation result.

[0355] Step S2118: The first network element performs a second calculation based on the perception data to obtain a second perception calculation result.

[0356] In some embodiments, the first network element uses computing resources within the core network to perform inference analysis based on the perception measurement data and the first perception calculation result fed back by the access network device to obtain a final perception analysis result, namely, a second perception calculation result.

[0357] According to the above embodiment, the access network device can perform preliminary calculations to obtain preliminary perception calculation results, and then the core network can perform further calculations. In this way, the computing resources of the access network device can be fully utilized and the computing pressure of the core network can be reduced.

[0358] Step S2119: The first network element sends the second perception calculation result to the NEF.

[0359] In some embodiments, the NEF may receive the second perception calculation result sent by the first network element.

[0360] Step S2120: NEF sends the second perception calculation result to AF.

[0361] In some embodiments, the NEF may forward the second perception calculation result received from the first network element to the AF.

[0362] In some embodiments, terms such as calculation, processing, and data processing can be replaced with each other, terms such as first calculation, first processing, and first data processing can be replaced with each other, terms such as second calculation, second processing, and second data processing can be replaced with each other, and terms such as perception calculation results, perception processing results, and perception data processing results can be replaced with each other.

[0363] According to the above embodiments, the following beneficial effects can be achieved: the integration of communication, perception and computing is realized according to the new network architecture of the communication system; the perception capabilities of the terminal devices and access network devices are effectively utilized, and the computing resources of the access network devices are utilized at the same time; in the process of collaborative perception and computing, the terminal devices and access network devices can report the perception capabilities to the first network element periodically or based on requests, thereby effectively balancing the perception tasks. For example, some terminal devices and / or access network devices are processing other tasks, and the computing power and resources allocated to perception are reduced, so the perception capabilities (including perception distance and perception accuracy) are reduced. Therefore, for these terminal devices and / or access network devices, the perception tasks can be temporarily not allocated or reduced; the historical analysis results are saved to facilitate related data analysis services and avoid repeated calculations.

[0364] The information processing method involved in the embodiment of the present disclosure may include at least one of the above-mentioned steps S2101 to S2120. For example, step S2104 + step S2105 can be implemented as an independent embodiment, step S2106 + step S2108 + step S2110 can be implemented as an independent embodiment, step S2107 + step S2109 + step S2110 can be implemented as an independent embodiment, step S2111 + step S2112 can be implemented as an independent embodiment, step S2113 + step S2114 can be implemented as an independent embodiment, step S2116 + step S2117 + step S2118 can be implemented as an independent embodiment, step S2104 + step S2105 + step S2111 + step S2112 can be implemented as an independent embodiment, step S2111 + step S2112 + step S2113 + step S2114 can be implemented as an independent embodiment, and step Step S2104+step S2105+step S2111+step S2112+step S2113+step S2114 can be implemented as an independent embodiment, step S2104+step S2105+step S2111+step S2112+step S2116+step S2117+step S2118 can be implemented as an independent embodiment, step S2111+step S2112+step S2113+step S2114+step S2116+step S2117+step S2118 can be implemented as an independent embodiment, step S2104+step S2105+step S2111+step S2112+step S2113+step S2114+step S2116+step S2117+step S2118 can be implemented as an independent embodiment, but are not limited to this.

[0365] In some embodiments, the above steps S2101 to S2120 can be executed in a swapped order or simultaneously. Optionally, the above steps S2104 to S2111 can be executed in a swapped order or simultaneously, and the above steps S2113 to S2114 can be executed in a swapped order or simultaneously.

[0366] In some embodiments, the above steps S2101 to S2120 are all optional steps.

[0367] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2A .

[0368] FIG2B is an interactive diagram of an information processing method according to an embodiment of the present disclosure. The method may be executed by the above-mentioned communication system. As shown in FIG2B , the method may include:

[0369] Step S2201: AF sends a first request message to NEF.

[0370] The optional implementation of step S2201 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0371] Step S2202: NEF performs perception service authentication.

[0372] The optional implementation of step S2202 can refer to the optional implementation of step S2102 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0373] Step S2203: The NEF sends a first request message to the first network element.

[0374] The optional implementation of step S2203 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0375] Step S2204: The first network element obtains the first capability information, the second capability information, and the third capability information.

[0376] Optional implementations of step S2204 may refer to optional implementations of one or more steps S2104 to S2109 in FIG. 2A , and other related parts of the embodiment involved in FIG. 2A , which will not be described in detail here.

[0377] For example, step S2204 may include step S2105. For another example, step S2204 may include step S2104+step S2105.

[0378] For example, step S2204 may include step S2108+step S2109. For another example, step S2204 may include step S2106+step S2108+step S2109. For another example, step S2204 may include step S2107+step S2108+step S2109. For another example, step S2204 may include step S2106+step S2107+step S2108+step S2109.

[0379] In some embodiments, the first network element may obtain at least one of the first capability information, the second capability information, and the third capability information through other means, such as storing at least one of the first capability information, the second capability information, and the third capability information in the first network element.

[0380] Step S2205: The first network element determines a perception device and a perception computing task assigned to the access network device.

[0381] Optional implementations of step S2205 can refer to optional implementations of one or more steps in steps S2110 to S2111 of FIG. 2A , and other related parts of the embodiment involved in FIG. 2A , which will not be described in detail here.

[0382] Step S2206: The first network element sends first information to the access network device.

[0383] The optional implementation of step S2206 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0384] Step S2207: The access network device performs a first calculation on the perception measurement data to obtain a first perception calculation result.

[0385] The optional implementation of step S2207 can refer to the optional implementation of step S2116 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0386] In some embodiments, the access network device obtains a model or algorithm required for the perception computing task, performs a first calculation on the perception measurement data based on the model or algorithm required for the perception computing task, and obtains a first perception computing result. For optional implementations of the access network device obtaining the model or algorithm required for the perception computing task, see the optional implementations of one or more steps in steps S2113 to S2114 of Figure 2A , which are not further described here. For optional implementations of the access network device obtaining the perception measurement data, see the optional implementations of step S2115 of Figure 2A , which are not further described here.

[0387] Step S2208: The access network device sends the perception data to the first network element.

[0388] The optional implementation of step S2208 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0389] Step S2209: The first network element performs a second calculation based on the perception data to obtain a second perception calculation result.

[0390] The optional implementation of step S2209 can refer to the optional implementation of step S2118 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0391] Step S2210: The first network element sends the second perception calculation result to the NEF.

[0392] The optional implementation of step S2210 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0393] Step S2211: NEF sends the second perception calculation result to AF.

[0394] The optional implementation of step S2211 can refer to the optional implementation of step S2120 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0395] In some embodiments, the above steps are all optional steps.

[0396] In some embodiments, any one or more steps in the embodiment shown in FIG. 2B may be combined with any one or more steps in the embodiment shown in FIG. 2A as a new embodiment.

[0397] FIG3A is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG3A , the embodiment of the present disclosure relates to an information processing method, which can be executed by a first network element. The method may include:

[0398] Step S3101: Receive first request information.

[0399] The optional implementation of step S3101 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0400] Step S3102: Send the second request information.

[0401] The optional implementation of step S3102 can refer to the optional implementation of step S2104 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0402] Step S3103: Receive first capability information.

[0403] The optional implementation of step S3103 can refer to the optional implementation of step S2105 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0404] Step S3104: Send the third request information.

[0405] The optional implementation of step S3104 can refer to the optional implementation of step S2106 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0406] Step S3105: Send the fourth request information.

[0407] The optional implementation of step S3105 can refer to the optional implementation of step S2107 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0408] Step S3106: Receive second capability information.

[0409] The optional implementation of step S3106 can refer to the optional implementation of step S2108 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0410] Step S3107: Receive third capability information.

[0411] The optional implementation of step S3107 can refer to the optional implementation of step S2109 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0412] Step S3108: Determine the sensing device.

[0413] The optional implementation of step S3108 can refer to the optional implementation of step S2110 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0414] Step S3109: Determine the perception computing task assigned to the access network device.

[0415] The optional implementation of step S3109 can refer to the optional implementation of step S2111 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0416] Step S3110: Send the first information.

[0417] The optional implementation of step S3110 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0418] Step S3111: Receive perception data.

[0419] The optional implementation of step S3111 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0420] Step S3112: Perform a second calculation based on the perception data to obtain a second perception calculation result.

[0421] The optional implementation of step S3112 can refer to the optional implementation of step S2118 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0422] Step S3113: Send the second perception calculation result.

[0423] The optional implementation of step S3113 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0424] The information processing method involved in the embodiment of the present disclosure may include at least one of the above steps S3101 to S3113. For example, step S3102 + step S3103 can be implemented as an independent embodiment, step S3104 + step S3106 + step S3108 can be implemented as an independent embodiment, step S3105 + step S3107 + step S3108 can be implemented as an independent embodiment, step S3109 + step S3110 can be implemented as an independent embodiment, step S3111 + step S3112 + step S3113 can be implemented as an independent embodiment, and step S3114 + step S3115 + step S3116 can be implemented as an independent embodiment. Step S3102+step S3103+step S3109+step S3110 can be implemented as an independent embodiment, step S3109+step S3110+step S3111+step S3112+step S3113 can be implemented as an independent embodiment, step S3102+step S3103+step S3109+step S3110+step S3111+step S3112+step S3113 can be implemented as an independent embodiment, but are not limited to this.

[0425] In some embodiments, the above steps S3101 to S3113 can be executed in a swapped order or simultaneously. Alternatively, the above steps S3102 to S3109 can be executed in a swapped order or simultaneously.

[0426] In some embodiments, the above steps S3101 to S3113 are all optional steps.

[0427] In some embodiments, any one or more steps in the embodiment shown in FIG. 3A may be combined with any one or more steps in the embodiments shown in FIG. 2A and FIG. 2B as a new embodiment.

[0428] FIG3B is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG3B , the embodiment of the present disclosure relates to an information processing method, which can be executed by a first network element. The method may include:

[0429] Step S3201: Receive first request information.

[0430] The optional implementation of step S3201 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0431] Step S3202: Obtain first capability information, second capability information, and third capability information.

[0432] Optional implementations of step S3202 can refer to optional implementations of one or more steps S2104 to S2109 in FIG. 2A , and other related parts of the embodiment involved in FIG. 2A , which will not be described in detail here.

[0433] For example, step S3202 may include step S2105. For another example, step S3202 may include step S2104+step S2105.

[0434] For example, step S3202 may include step S2108+step S2109. For another example, step S3202 may include step S2106+step S2108+step S2109. For another example, step S3202 may include step S2107+step S2108+step S2109. For another example, step S3202 may include step S2106+step S2107+step S2108+step S2109.

[0435] In some embodiments, the first network element may obtain at least one of the first capability information, the second capability information, and the third capability information through other means, such as storing at least one of the first capability information, the second capability information, and the third capability information in the first network element.

[0436] Step S3203: Determine the perception device and the perception computing task assigned to the access network device.

[0437] Optional implementations of step S3203 may refer to optional implementations of one or more steps in steps S2110 to S2111 of FIG. 2A , and other related parts of the embodiment involved in FIG. 2A , which will not be described in detail here.

[0438] Step S3204: Send the first information.

[0439] The optional implementation of step S3204 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0440] Step S3205: Receive perception data.

[0441] The optional implementation of step S3205 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0442] Step S3206: Perform a second calculation based on the perception data to obtain a second perception calculation result.

[0443] The optional implementation of step S3206 can refer to the optional implementation of step S2118 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0444] Step S3207: Send the second perception calculation result.

[0445] The optional implementation of step S3207 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0446] In some embodiments, any one or more steps in the embodiment shown in FIG. 3B may be combined with any one or more steps in the embodiments shown in FIG. 3A , FIG. 2A , and FIG. 2B as a new embodiment.

[0447] FIG3C is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG3C , the embodiment of the present disclosure relates to an information processing method, which can be performed by a first network element. The method may include:

[0448] Step S3301: Send the first information.

[0449] The optional implementation of step S3301 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0450] In some embodiments, the first network element sends first information to the access network device through the third network element, where the first information is used to indicate the perception computing task assigned to the access network device.

[0451] Step S3302: Receive perception data.

[0452] The optional implementation of step S3302 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0453] In some embodiments, the first network element receives perception data sent by the access network device through the third network element. The perception data includes perception measurement data and a first perception calculation result. The first perception calculation result is the result obtained by the access network device performing a first calculation on the perception measurement data according to the model or algorithm required for the perception calculation task.

[0454] Step S3303: Perform a second calculation based on the perception data to obtain a second perception calculation result.

[0455] The optional implementation of step S3303 can refer to the optional implementation of step S2118 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0456] Step S3304: Send the second perception calculation result.

[0457] The optional implementation of step S3304 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0458] In some embodiments, the first network element receives a first request message sent by the NEF; the first network element obtains first capability information, which includes information related to the computing capability and / or storage capability of the access network device; the first network element determines the perception computing task assigned to the access network device based on the first request message and the first capability information.

[0459] In some embodiments, the first network element sends second request information to the second network element, where the second request information is used to request the first capability information stored in the second network element; and the first network element receives the first capability information sent by the second network element.

[0460] In some embodiments, the first network element obtains second capability information and third capability information, the second capability information includes information related to the perception capability of the terminal device, and the third capability information includes information related to the perception capability of the access network device; the first network element determines the perception device based on the second capability information and the third capability information, and the perception device includes the terminal device and / or the access network device.

[0461] In some embodiments, the first network element sends a third request message to the terminal device through the third network element, and sends a fourth request message to the access network device through the third network element, the third request message is used to request the second capability information, and the fourth request message is used to request the third capability information; the first network element receives the second capability information sent by the terminal device through the third network element, and receives the third capability information sent by the access network device through the third network element.

[0462] In some embodiments, any one or more steps in the embodiment shown in FIG. 3C may be combined with any one or more steps in the embodiments shown in FIG. 3A , FIG. 3B , FIG. 2A , and FIG. 2B as a new embodiment.

[0463] FIG4A is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG4A , the embodiment of the present disclosure relates to an information processing method, which can be executed by a second network element. The method may include:

[0464] Step S4101: Receive second request information.

[0465] The optional implementation of step S4101 can refer to the optional implementation of step S2104 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0466] Step S4102: Send first capability information.

[0467] The optional implementation of step S4102 can refer to the optional implementation of step S2105 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0468] Step S4103: Receive the fifth request information.

[0469] The optional implementation of step S4103 can refer to the optional implementation of step S2113 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0470] Step S4104: Send the second information.

[0471] The optional implementation of step S4104 can refer to the optional implementation of step S2114 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0472] The information processing method involved in the embodiments of the present disclosure may include at least one of steps S4101 to S4104. For example, step S4102 may be implemented as an independent embodiment, step S4101 + step S4102 may be implemented as an independent embodiment, step S4104 may be implemented as an independent embodiment, and step S4103 + step S4104 may be implemented as an independent embodiment, but the present invention is not limited thereto.

[0473] In some embodiments, the above steps S4101 to S4104 can be executed in a swapped order or simultaneously.

[0474] In some embodiments, the above steps S4101 to S4104 are all optional steps.

[0475] In some embodiments, any one or more steps in the embodiment shown in FIG. 4A may be combined with any one or more steps in the embodiments shown in FIG. 2A and FIG. 2B as a new embodiment.

[0476] FIG4B is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG4B , the embodiment of the present disclosure relates to an information processing method, which can be executed by a second network element. The method may include:

[0477] Step S4201: Receive the fifth request information.

[0478] The optional implementation of step S4201 can refer to the optional implementation of step S2113 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0479] In some embodiments, the second network element receives fifth request information sent by the access network device, where the fifth request information is used to request a model or algorithm required for a perception computing task assigned to the access network device and stored in the second network element.

[0480] Step S4202: Send the second information.

[0481] The optional implementation of step S4202 can refer to the optional implementation of step S2114 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0482] In some embodiments, the second network element sends second information to the access network device, where the second information is used to indicate a model or algorithm required for the perception computing task, where the model or algorithm required for the perception computing task is used by the access network device to perform a first calculation on the perception measurement data.

[0483] In some embodiments, the second network element receives a second request message sent by the first network element, where the second request message is used to request first capability information stored in the second network element, where the first capability information includes information related to the computing capability and / or storage capability of the access network device; the second network element sends the first capability information to the first network element, where the first capability information is used by the first network element to determine the perception computing task assigned to the access network device.

[0484] In some embodiments, the above steps S4201 to S4202 are optional steps.

[0485] In some embodiments, any one or more steps in the embodiment shown in FIG. 4B may be combined with any one or more steps in FIG. 4A , FIG. 2A , and FIG. 2B as a new embodiment.

[0486] Figure 5 is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in Figure 5, the embodiment of the present disclosure relates to an information processing method, which can be executed by a third network element. The method may include:

[0487] Step S5101: Forward information or data between the first network element and the access network device.

[0488] In some embodiments, the optional implementation of step S5101 can refer to the optional implementation of at least one of steps S2106, S2107, S2108, S2109, S2112, and S2117 in Figure 2A, and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0489] In some embodiments, the content forwarded by the third network element may include at least one of the following:

[0490] Third request information;

[0491] Fourth request information;

[0492] Second capability information;

[0493] Third capability information;

[0494] First information;

[0495] The perception data includes perception measurement data and a first perception calculation result.

[0496] In some embodiments, the third network element receives the first information sent by the first network element and sends the first information to the access network device, where the first information is used to indicate the perception computing task assigned to the access network device. In some embodiments, the third network element sends the first information to the access network device via the AMF.

[0497] In some embodiments, a third network element receives perception data sent by an access network device and sends the perception data to the first network element. This perception data includes perception measurement data and a first perception calculation result. The first perception calculation result is the result of the access network device performing a first calculation on the perception measurement data based on a model or algorithm required for the perception calculation task. This perception data is used by the first network element to perform a second calculation. In some embodiments, the access network device sends the perception data to the third network element via the UPF.

[0498] In some embodiments, the model or algorithm required for the perceptual computing task is obtained from the second network element.

[0499] In some embodiments, the third network element receives a third request message sent by the first network element, and receives a fourth request message sent by the first network element, the third request message being used to request the second capability information, the fourth request message being used to request the third capability information, the second capability information including information related to the perception capability of the terminal device, and the third capability information including information related to the perception capability of the access network device. The third network element sends the third request message to the terminal device, and sends the fourth request message to the access network device. In some embodiments, the third network element sends the third request message to the terminal device via the AMF and the access network device. In some embodiments, the third network element sends the fourth request message to the access network device via the AMF.

[0500] In some embodiments, a third network element receives second capability information sent by a terminal device and third capability information sent by an access network device. The third network element sends the second capability information to the first network element and sends the third capability information to the first network element. The second capability information and the third capability information are used by the first network element to determine a sensing device, which may include a terminal device and / or an access network device. In some embodiments, the terminal device sends the second capability information to the third network element via the access network device and the AMF. In some embodiments, the access network device sends the third capability information to the third network element via the AMF.

[0501] In some embodiments, any one or more steps in the embodiment shown in FIG. 5 may be combined with any one or more steps in FIG. 2A and FIG. 2B as a new embodiment.

[0502] FIG6A is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG6A , the embodiment of the present disclosure relates to an information processing method, which can be executed by an access network device. The method may include:

[0503] Step S6101: Receive the fourth request information.

[0504] The optional implementation of step S6101 can refer to the optional implementation of step S2107 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0505] Step S6102: Send third capability information.

[0506] The optional implementation of step S6102 can refer to the optional implementation of step S2108 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0507] Step S6103: Receive first information.

[0508] The optional implementation of step S6103 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0509] Step S6104: Send the fifth request information.

[0510] The optional implementation of step S6104 can refer to the optional implementation of step S2113 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0511] Step S6105: Receive the second information.

[0512] The optional implementation of step S6105 can refer to the optional implementation of step S2114 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0513] Step S6106: Perform a first calculation on the perception measurement data to obtain a first perception calculation result.

[0514] The optional implementation of step S6106 can refer to the optional implementation of step S2116 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0515] Step S6107: Send perception data.

[0516] The optional implementation of step S6107 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0517] In some embodiments, the perception data includes perception measurement data and a first perception calculation result.

[0518] The information processing method involved in the embodiments of the present disclosure may include at least one of the above-mentioned steps S6101 to S6107. For example, step S6101 and step S6102 can be implemented as independent embodiments, step S6103 can be implemented as an independent embodiment, step S6104 and step S6105 can be implemented as independent embodiments, step S6103, step S6106, and step S6107 can be implemented as independent embodiments, step S6103, step S6104, step S6105, step S6106, and step S6107 can be implemented as independent embodiments, and step S6101, step S6102, step S6103, step S6106, and step S6107 can be implemented as independent embodiments, but the present invention is not limited thereto.

[0519] In some embodiments, the above steps S6101 to S6107 can be executed in a swapped order or simultaneously.

[0520] In some embodiments, the above steps S6101 to S6107 are all optional steps.

[0521] In some embodiments, any one or more steps in the embodiment shown in FIG. 6A may be combined with any one or more steps in the embodiments shown in FIG. 2A and FIG. 2B as a new embodiment.

[0522] FIG6B is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG6B , the embodiment of the present disclosure relates to an information processing method, which can be executed by an access network device. The method may include:

[0523] Step S6201: Receive first information.

[0524] The optional implementation of step S6201 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0525] In some embodiments, the first information is used to indicate a perception computing task assigned to the access network device.

[0526] Step S6202: Obtain the model or algorithm required for the perception computing task.

[0527] Optional implementations of step S6202 may refer to one or more steps S2113 to S2114 in FIG. 2A , and other related parts of the embodiment involved in FIG. 2A , which will not be described in detail here.

[0528] For example, step S6202 may include step S2114. For another example, step S6202 may include step S2113+step S2114.

[0529] Step S6203: Perform a first calculation on the perception measurement data to obtain a first perception calculation result.

[0530] The optional implementation of step S6203 can refer to the optional implementation of step S2116 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0531] In some embodiments, a first calculation is performed on the perception measurement data according to a model or algorithm required by the perception computing task to obtain a first perception computing result.

[0532] Step S6204: Send perception data.

[0533] The optional implementation of step S6204 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0534] In some embodiments, the perception data includes perception measurement data and a first perception calculation result.

[0535] In some embodiments, any one or more steps in the embodiment shown in FIG. 6B may be combined with any one or more steps in FIG. 6A , FIG. 2A , and FIG. 2B as a new embodiment.

[0536] FIG6C is a flow chart of an information processing method according to an embodiment of the present disclosure. As shown in FIG6C , the embodiment of the present disclosure relates to an information processing method, which can be executed by an access network device. The method may include:

[0537] Step S6301: Receive first information.

[0538] The optional implementation of step S6301 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0539] In some embodiments, the access network device receives first information sent by the first network element. Optionally, the access network device receives first information sent by the first network element through a third network element, where the first information is used to indicate a perception computing task assigned to the access network device.

[0540] Step S6302: Perform a first calculation on the perception measurement data to obtain a first perception calculation result.

[0541] The optional implementation of step S6302 can refer to the optional implementation of step S2116 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0542] In some embodiments, the access network device performs a first calculation on the perception measurement data according to a model or algorithm required for the perception computing task to obtain a first perception computing result.

[0543] Step S6303: Send perception data.

[0544] The optional implementation of step S6303 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0545] In some embodiments, the access network device sends perception data to the first network element through the third network element, where the perception data includes perception measurement data and a first perception calculation result, and the perception data is used by the first network element to perform the second calculation.

[0546] In some embodiments, the model or algorithm required for the perceptual computing task is obtained from the second network element.

[0547] In some embodiments, the access network device sends a fifth request message to the second network element, where the fifth request message is used to request the model or algorithm required for the perception computing task stored in the second network element; the access network device receives the second information sent by the second network element, where the second information is used to indicate the model or algorithm required for the perception computing task.

[0548] In some embodiments, the access network device receives a fourth request information sent by the first network element through the third network element, where the fourth request information is used to request third capability information, where the third capability information includes information related to the perception capability of the access network device, and the third capability information is used by the first network element to determine the perception device; the access network device sends the third capability information to the first network element through the third network element.

[0549] In some embodiments, any one or more steps in the embodiment shown in FIG. 6C may be combined with any one or more steps in FIG. 6A , FIG. 6B , FIG. 2A , and FIG. 2B as a new embodiment.

[0550] FIG7A is a flow chart illustrating an information processing method according to an embodiment of the present disclosure. As shown in FIG7A , the present disclosure embodiment relates to an information processing method, which can be executed by an NEF. The method may include:

[0551] Step S7101: Receive first request information.

[0552] The optional implementation of step S7101 can refer to the optional implementation of step S2101 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0553] Step S7102: Execute perception service authentication.

[0554] The optional implementation of step S7102 can refer to the optional implementation of step S2102 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0555] Step S7103: Send the first request information.

[0556] The optional implementation of step S7103 can refer to the optional implementation of step S2103 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0557] Step S7104: Receive the second perception calculation result.

[0558] The optional implementation of step S7104 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0559] Step S7105: Send the second perception calculation result.

[0560] The optional implementation of step S7105 can refer to the optional implementation of step S2120 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0561] The information processing method involved in the embodiments of the present disclosure may include at least one of the above steps S7101 to S7105. For example, step S7101 + step S7103 can be implemented as an independent embodiment, step S7101 + step S7102 + step S7103 can be implemented as an independent embodiment, step S7104 + step S7105 can be implemented as an independent embodiment, and step S7101 + step S7103 + step S7104 + step S7105 can be implemented as an independent embodiment, but the present invention is not limited thereto.

[0562] In some embodiments, any one or more steps in the embodiment shown in FIG. 7A may be combined with any one or more steps in the embodiments shown in FIG. 2A and FIG. 2B as a new embodiment.

[0563] FIG7B is a flow chart illustrating an information processing method according to an embodiment of the present disclosure. As shown in FIG7B , the present disclosure embodiment relates to an information processing method, which can be executed by an NEF. The method may include:

[0564] Step S7201: Receive the second perception calculation result.

[0565] The optional implementation of step S7201 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0566] In some embodiments, the NEF receives the second perception calculation result sent by the first network element.

[0567] In some embodiments, the second perception calculation result is a result obtained by the first network element performing a second calculation based on the perception data, the perception data includes perception measurement data and the first perception calculation result, and the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data based on the model or algorithm required for the perception computing task assigned to the access network device.

[0568] In some embodiments, the model or algorithm required for the perceptual computing task is obtained from the second network element.

[0569] Step S7202: Send the second perception calculation result.

[0570] The optional implementation of step S7202 can refer to the optional implementation of step S2120 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0571] In some embodiments, the NFE sends the second perception calculation result to the AF.

[0572] In some embodiments, the NEF forwards the second perception calculation result received from the first network element to the AF.

[0573] In some embodiments, the NEF receives first request information sent by the AF, where the first request information is perception service request information; the NEF performs perception service authentication; and after the authentication is passed, the NEF sends the first request information to the first network element.

[0574] In some embodiments, the NEF forwards the first request information received from the AF to the first network element.

[0575] In some embodiments, any one or more steps in the embodiment shown in FIG. 7B may be combined with any one or more steps in FIG. 7A , FIG. 2A , and FIG. 2B as a new embodiment.

[0576] FIG8 is a flow chart of an information processing method according to an embodiment of the present disclosure. The method may be executed by a core network device, and the communication system includes an NEF, a first network element, and a third network element. As shown in FIG8 , the method may include:

[0577] Step S8101: The first network element sends first information to the access network device through the third network element.

[0578] The optional implementation of step S8101 can refer to the optional implementation of step S2112 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0579] In some embodiments, the first information is used to indicate a perception computing task assigned to the access network device.

[0580] Step S8102: The first network element receives perception data sent by the access network device through the third network element.

[0581] The optional implementation of step S8102 can refer to the optional implementation of step S2117 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0582] In some embodiments, the perception data includes perception measurement data and a first perception calculation result, where the first perception calculation result is a result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required for the perception calculation task.

[0583] Step S8103: The first network element performs a second calculation based on the perception data to obtain a second perception calculation result.

[0584] The optional implementation of step S8103 can refer to the optional implementation of step S2118 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0585] Step S8104: The first network element sends the second perception calculation result to the NEF.

[0586] The optional implementation of step S8104 can refer to the optional implementation of step S2119 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0587] Step S8105: NEF sends the second perception calculation result to AF.

[0588] The optional implementation of step S8105 can refer to the optional implementation of step S2120 in Figure 2A and other related parts in the embodiment involved in Figure 2A, which will not be repeated here.

[0589] In the embodiments of the present disclosure, some or all of the steps and their optional implementations may be arbitrarily combined with some or all of the steps in other embodiments, or may be arbitrarily combined with the optional implementations of other embodiments.

[0590] In some embodiments of the present disclosure, a core network device is provided, which may include at least one of the following: a first network element, a second network element, a third network element, and a network exposure function NEF, wherein the first network element can execute the method executed by the first network element in the aforementioned embodiment of the present disclosure; the second network element can execute the method executed by the second network element in the aforementioned embodiment of the present disclosure; the third network element can execute the method executed by the third network element in the aforementioned embodiment of the present disclosure; and the NEF can execute the method executed by the NEF in the aforementioned embodiment of the present disclosure.

[0591] In some embodiments of the present disclosure, a communication system is provided, which may include a terminal device, an access network device, and a core network device. The core network device may include at least one of the following: a first network element, a second network element, a third network element, and a network exposure function NEF. The terminal device may execute the method executed by the terminal device in the aforementioned embodiment of the present disclosure; the access network device may execute the method executed by the access network device in the aforementioned embodiment of the present disclosure; the first network element may execute the method executed by the first network element in the aforementioned embodiment of the present disclosure; the second network element may execute the method executed by the second network element in the aforementioned embodiment of the present disclosure; the third network element may execute the method executed by the third network element in the aforementioned embodiment of the present disclosure; and the NEF may execute the method executed by the NEF in the aforementioned embodiment of the present disclosure.

[0592] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0593] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), which realizes the functions of some or all of the above units or modules by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the rest by hardware circuits.

[0594] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0595] Figure 9A is a schematic diagram of the structure of an access network device proposed in an embodiment of the present disclosure. As shown in Figure 9A, the access network device 102 may include at least one of a transceiver module 9101 and a processing module 9102. In some embodiments, the transceiver module 9101 is configured to receive first information sent by a first network element via a third network element, where the first information indicates a perception computing task assigned to the access network device. The processing module 9102 is configured to perform a first calculation on the perception measurement data based on a model or algorithm required for the perception computing task, thereby obtaining a first perception computing result. The transceiver module 9101 is further configured to send perception data to the first network element via the third network element, where the perception data includes the perception measurement data and the first perception computing result, and the perception data is used by the first network element to perform a second calculation. Optionally, the transceiver module 9101 is configured to perform at least one of the communication steps (e.g., steps S2109, S2113, and S2117, but not limited thereto) performed by the access network device in any of the above methods, which will not be further described here. Optionally, the processing module 9102 is used to execute at least one of the other steps (such as step S2115 and step S2116, but not limited thereto) performed by the access network device in any of the above methods, which will not be repeated here.

[0596] Figure 9B is a schematic diagram of the structure of the first network element proposed in an embodiment of the present disclosure. As shown in Figure 9B, the first network element 10301 may include: at least one of a transceiver module 9201, a processing module 9202, etc. In some embodiments, the transceiver module 9201 is configured to send first information to the access network device through a third network element, where the first information is used to indicate the perception computing task assigned to the access network device. The transceiver module 9201 is configured to receive perception data sent by the access network device through the third network element, where the perception data includes perception measurement data and a first perception computing result, where the first perception computing result is the result obtained by the access network device performing a first calculation on the perception measurement data according to the model or algorithm required by the perception computing task. The processing module 9202 is configured to perform a second calculation based on the perception data to obtain a second perception computing result. The transceiver module 9201 is configured to send the second perception computing result to the AF through the NEF. Optionally, the transceiver module 9201 is configured to execute at least one of the communication steps such as sending and / or receiving performed by the first network element in any of the above methods (for example, step S2104, step S2106, step S2107, step S2112, step S2119, but not limited thereto), which are not described in detail here. Optionally, the processing module 9202 is configured to execute at least one of the other steps (for example, step S2110, step S2111, step S2118, but not limited thereto) performed by the first network element in any of the above methods, which are not described in detail here.

[0597] Figure 9C is a schematic diagram of the structure of the second network element proposed in an embodiment of the present disclosure. As shown in Figure 9C, the second network element 10302 may include: at least one of a transceiver module 9301, a processing module 9302, etc. In some embodiments, the transceiver module 9301 is configured to receive a fifth request message sent by an access network device, and the fifth request message is used to request the model or algorithm required for the perception computing task assigned to the access network device stored in the second network element. The transceiver module 9301 is configured to send second information to the access network device, and the second information is used to indicate the model or algorithm required for the perception computing task, and the model or algorithm required for the perception computing task is used by the access network device to perform a first calculation on the perception measurement data. Optionally, the transceiver module 9301 is used to perform at least one of the communication steps such as sending and / or receiving performed by the second network element in any of the above methods (for example, step S2105, step S2114, but not limited thereto), which will not be repeated here. Optionally, the processing module 9302 is used to execute at least one of the other steps performed by the second network element in any of the above methods, which will not be repeated here.

[0598] Figure 9D is a schematic diagram of the structure of a third network element proposed in an embodiment of the present disclosure. As shown in Figure 9D, the third network element 10303 may include at least one of a transceiver module 9401 and a processing module 9402. In some embodiments, the transceiver module 9401 is configured to receive first information sent by a first network element, where the first information indicates a perception computing task assigned to an access network device. The transceiver module 9401 is configured to send the first information to the access network device. The transceiver module 9401 is configured to receive perception data sent by the access network device, where the perception data includes perception measurement data and a first perception computing result, where the first perception computing result is a result of a first calculation performed by the access network device on the perception measurement data according to a model or algorithm required by the perception computing task. The transceiver module 9401 is configured to send the perception data to the first network element, where the perception data is used by the first network element to perform a second calculation. Optionally, the transceiver module 9401 is configured to perform at least one of the communication steps, such as sending and / or receiving, performed by the third network element in any of the above methods, which will not be further described here. Optionally, the processing module 9402 is used to execute at least one of the other steps performed by the third network element in any of the above methods, which will not be repeated here.

[0599] Figure 9E is a schematic diagram of the structure of the network open function NEF proposed in an embodiment of the present disclosure. As shown in Figure 9E, the NEF 10304 may include: at least one of a transceiver module 9501, a processing module 9502, etc. In some embodiments, the transceiver module 9501 is configured to receive a second perception calculation result sent by a first network element. The second perception calculation result is the result obtained by the first network element performing a second calculation based on perception data. The perception data includes perception measurement data and a first perception calculation result. The first perception calculation result is the result obtained by the access network device performing a first calculation on the perception measurement data according to a model or algorithm required by the perception computing task assigned to the access network device. The transceiver module 9501 sends the second perception calculation result to the AF. Optionally, the transceiver module 9501 is used to perform at least one of the communication steps such as sending and / or receiving performed by the NEF in any of the above methods (for example, step S2103, step S2120, but not limited thereto), which will not be repeated here. Optionally, the processing module 9502 is configured to execute at least one of the other steps (such as step S2102 , but not limited thereto) executed by the NEF in any of the above methods, which will not be described in detail here.

[0600] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0601] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0602] Figure 10A is a schematic diagram of the structure of the communication device 10100 proposed in an embodiment of the present disclosure. The communication device 10100 can be a network device (for example, an access network device, a core network device, or any one or more network elements in the core network device (such as a first network element, a second network element, a third network element, a network open function NEF), etc.), or a terminal device (for example, a user device, etc.), or a chip, a chip system, or a processor that supports the network device to implement any of the above methods, or a chip, a chip system, or a processor that supports the terminal device to implement any of the above methods. The communication device 10100 can be used to implement the method described in the above method embodiment. For details, please refer to the description in the above method embodiment.

[0603] As shown in FIG10A , a communication device 10100 includes one or more processors 10101. Processor 10101 may be a general-purpose processor or a dedicated processor, for example, 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 a communication device (e.g., a base station, a baseband chip, a terminal device, a terminal device chip, a DU or CU, etc.), execute programs, and process program data. The communication device 10100 is used to perform any of the above methods.

[0604] In some embodiments, the communication device 10100 further includes one or more memories 10102 for storing instructions. Optionally, all or part of the memory 10102 may be located outside the communication device 10100.

[0605] In some embodiments, the communication device 10100 further includes one or more transceivers 10103. When the communication device 10100 includes one or more transceivers 10103, the transceiver 10103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2103, step S2104, step S2105, step S2106, step S2107, step S2108, step S2109, step S2112, step S2113, step S2114, step S2117, step S2119, step S2120, but not limited thereto), and the processor 10101 performs at least one of the other steps (for example, step S2102, step S2110, step S2111, step S2115, step S2116, step S2118, but not limited thereto).

[0606] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0607] In some embodiments, the communication device 10100 may include one or more interface circuits 10104. Optionally, the interface circuit 10104 is connected to the memory 10102. The interface circuit 10104 may be configured to receive signals from the memory 10102 or other devices, or to send signals to the memory 10102 or other devices. For example, the interface circuit 10104 may read instructions stored in the memory 10102 and send the instructions to the processor 10101.

[0608] The communication device 10100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 10100 described in the present disclosure is not limited thereto, and the structure of the communication device 10100 may not be limited by FIG. 10A. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0609] 10B is a schematic diagram of the structure of a chip 10200 according to an embodiment of the present disclosure. If the communication device 10100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 10200 shown in FIG10B , but the present disclosure is not limited thereto.

[0610] Chip 10200 includes one or more processors 10201, and chip 10200 is used to execute any of the above methods.

[0611] In some embodiments, chip 10200 further includes one or more interface circuits 10202. Optionally, interface circuit 10202 is connected to memory 10203. Interface circuit 10202 can be used to receive signals from memory 10203 or other devices, or to send signals to memory 10203 or other devices. For example, interface circuit 10202 can read instructions stored in memory 10203 and send the instructions to processor 10201.

[0612] In some embodiments, the interface circuit 10202 executes at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2103, step S2104, step S2105, step S2106, step S2107, step S2108, step S2109, step S2112, step S2113, step S2114, step S2117, step S2119, step S2120, but not limited to these), and the processor 10201 executes at least one of the other steps (for example, step S2102, step S2110, step S2111, step S2115, step S2116, step S2118, but not limited to these).

[0613] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0614] In some embodiments, the chip 10200 further includes one or more memories 10203 for storing instructions. Alternatively, all or part of the memories 10203 may be outside the chip 10200.

[0615] The present disclosure also provides a storage medium having instructions stored thereon. When the instructions are executed on the communication device 10100, the communication device 10100 is caused to execute any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

[0616] The present disclosure also provides a program product, which, when executed by the communication device 10100, enables the communication device 10100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0617] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods.

Claims

1. An information processing method, characterized in that Performed by a first network element, the method includes: Sending first information to an access network device via a third network element, where the first information is used to indicate a sensing computing task assigned to the access network device; Receiving sensing data sent by the access network device via the third network element, where the sensing data includes sensing measurement data and a first sensing computing result, and the first sensing computing result is a result obtained by the access network device performing a first calculation on the sensing measurement data according to a model or algorithm required for the sensing computing task; Performing a second calculation based on the sensing data to obtain a second sensing computing result; Sending the second sensing computing result to an application function AF via a network exposure function NEF.

2. The method according to claim 1, wherein The model or algorithm required for the sensing computing task is obtained from a second network element.

3. The method according to claim 1 or 2, characterized in that, The method further includes: Receiving first request information sent by the NEF, where the first request information is sensing service request information; Obtaining first capability information, where the first capability information includes information related to the computing capability and / or storage capability of the access network device; Determining the sensing computing task assigned to the access network device according to the first request information and the first capability information.

4. The method according to claim 3, characterized in that, The obtaining of the first capability information includes: Sending second request information to the second network element, where the second request information is used to request the first capability information stored in the second network element; Receiving the first capability information sent by the second network element.

5. The method according to any one of claims 1-4, characterized in that, The method further includes: Obtaining second capability information and third capability information, where the second capability information includes information related to the sensing capability of a terminal device, and the third capability information includes information related to the sensing capability of the access network device; Determining sensing devices according to the second capability information and the third capability information, where the sensing devices include the terminal device and / or the access network device.

6. The method according to claim 5, wherein The obtaining of the second capability information and the third capability information includes: Sending third request information to the terminal device via the third network element, and sending fourth request information to the access network device via the third network element, where the third request information is used to request the second capability information, and the fourth request information is used to request the third capability information; Receiving the second capability information sent by the terminal device via the third network element, and receiving the third capability information sent by the access network device via the third network element.

7. An information processing method, characterized in that, Performed by a second network element, the method includes: Receiving fifth request information sent by an access network device, where the fifth request information is used to request a model or algorithm required for a sensing computing task assigned to the access network device and stored in the second network element; Sending second information to the access network device, where the second information is used to indicate the model or algorithm required for the sensing computing task, and the model or algorithm required for the sensing computing task is used by the access network device to perform a first calculation on sensing measurement data.

8. The method according to claim 7, characterized in that, The method further includes: Receive the second request message sent by the first network element, where the second request message is used to request the first capability information stored in the second network element, and the first capability information includes information related to the computing capability and / or storage capability of the access network device; Send the first capability information to the first network element, where the first capability information is used by the first network element to determine the perception computing task allocated to the access network device.

9. An information processing method, characterized in that Executed by a third network element, the method includes: Receive the first information sent by the first network element, where the first information is used to indicate the perception computing task allocated to the access network device; Send the first information to the access network device; Receive the perception data sent by the access network device, where the perception data includes perception measurement data and a first perception computing result, The first perception computing result is the result obtained by the access network device performing a first calculation on the perception measurement data according to the model or algorithm required by the perception computing task; Send the perception data to the first network element, where the perception data is used by the first network element to perform a second calculation.

10. The method according to claim 9, wherein The model or algorithm required by the perception computing task is obtained from a second network element.

11. The method according to claim 9 or 10, characterized in that, The method further includes: Receive the third request message sent by the first network element, and receive the fourth request message sent by the first network element, where the third request message is used to request the second capability information, and the fourth request message is used to request the third capability information, the second capability information includes information related to the perception capability of the terminal device, and the third capability information includes information related to the perception capability of the access network device; Send the third request message to the terminal device, and send the fourth request message to the access network device; Receive the second capability information sent by the terminal device, and receive the third capability information sent by the access network device; Send the second capability information to the first network element, and send the third capability information to the first network element, where the second capability information and the third capability information are used by the first network element to determine the perception device, and the perception device includes the terminal device and / or the access network device.

12. An information processing method, characterized in that, Executed by the access network device, the method includes: Receive the first information sent by the first network element through the third network element, where the first information is used to indicate the perception computing task allocated to the access network device; Perform a first calculation on the perception measurement data according to the model or algorithm required by the perception computing task to obtain a first perception computing result; Send the perception data to the first network element through the third network element, where the perception data includes the perception measurement data and the first perception computing result, and the perception data is used by the first network element to perform a second calculation.

13. The method according to claim 12, wherein The method further includes: Send a fifth request message to the second network element, where the fifth request message is used to request the model or algorithm required by the perception computing task stored in the second network element; Receive the second information sent by the second network element, where the second information is used to indicate the model or algorithm required by the perception computing task.

14. The method according to claim 13, wherein The method further includes: Receive the fourth request message sent by the first network element through the third network element, where the fourth request message is used to request third capability information, the third capability information includes information related to the sensing capability of the access network device, and the third capability information is used by the first network element to determine the sensing device; Send the third capability information to the first network element through the third network element.

15. An information processing method, characterized in that, Executed by the NEF, the method includes: Receive the second sensing calculation result sent by the first network element, where the second sensing calculation result is the result obtained by the first network element performing a second calculation based on sensing data, the sensing data includes sensing measurement data and a first sensing calculation result, and the first sensing calculation result is the result obtained by the access network device performing a first calculation on the sensing measurement data according to the model or algorithm required for the sensing calculation task assigned to the access network device; Send the second sensing calculation result to the AF.

16. The method according to claim 15, wherein The model or algorithm required for the sensing calculation task is obtained from the second network element.

17. The method according to claim 15 or 16, characterized in that, The method further includes: Receive the first request message sent by the AF, where the first request message is a sensing service request message; Perform sensing service authentication; Send the first request message to the first network element.

18. An information processing method, characterized in that, Executed by the core network device, the core network device includes the NEF, the first network element, and the third network element, and the method includes: The first network element sends a first message to the access network device through the third network element, where the first message is used to indicate the sensing calculation task assigned to the access network device; The first network element receives the sensing data sent by the access network device through the third network element, the sensing data includes sensing measurement data and a first sensing calculation result, and the first sensing calculation result is the result obtained by the access network device performing a first calculation on the sensing measurement data according to the model or algorithm required for the sensing calculation task; The first network element performs a second calculation based on the sensing data to obtain a second sensing calculation result; The first network element sends the second sensing calculation result to the NEF; The NEF sends the second sensing calculation result to the AF.

19. A first network element, characterized in that, Includes: A transceiver module configured to send a first message to the access network device through the third network element, where the first message is used to indicate the sensing calculation task assigned to the access network device; Receive the sensing data sent by the access network device through the third network element, the sensing data includes sensing measurement data and a first sensing calculation result, and the first sensing calculation result is the result obtained by the access network device performing a first calculation on the sensing measurement data according to the model or algorithm required for the sensing calculation task; A processing module configured to perform a second calculation based on the sensing data to obtain a second sensing calculation result; The transceiver module is further configured to send the second sensing calculation result to the AF through the NEF.

20. A second network element, characterized in that, Includes: A transceiver module, configured to receive fifth request information sent by an access network device, where the fifth request information is used to request a model or algorithm required for a sensing and computing task allocated to the access network device and stored in the second network element; and send second information to the access network device, where the second information is used to indicate the model or algorithm required for the sensing and computing task, and the model or algorithm required for the sensing and computing task is used for the access network device to perform a first calculation on sensing measurement data.

21. A third network element, characterized in that, It includes: A transceiver module, configured to receive first information sent by a first network element, where the first information is used to indicate a sensing and computing task allocated to an access network device; Send the first information to the access network device; Receive sensing data sent by the access network device, where the sensing data includes sensing measurement data and a first sensing and computing result, and the first sensing and computing result is a result obtained by the access network device performing a first calculation on the sensing measurement data according to the model or algorithm required for the sensing and computing task; and send the sensing data to the first network element, where the sensing data is used for the first network element to perform a second calculation.

22. An access network device, characterized in that, It includes: A transceiver module, configured to receive first information sent by a first network element through a third network element, where the first information is used to indicate a sensing and computing task allocated to the access network device; A processing module, configured to perform a first calculation on sensing measurement data according to the model or algorithm required for the sensing and computing task to obtain a first sensing and computing result; The transceiver module is further configured to send sensing data including the sensing measurement data and the first sensing and computing result to the first network element through the third network element, where the sensing data is used for the first network element to perform a second calculation.

23. A NEF, characterized in that, It includes: A transceiver module, configured to receive a second sensing and computing result sent by a first network element, where the second sensing and computing result is a result obtained by the first network element performing a second calculation according to sensing data, the sensing data includes sensing measurement data and a first sensing and computing result, and the first sensing and computing result is a result obtained by an access network device performing a first calculation on the sensing measurement data according to the model or algorithm required for the sensing and computing task allocated to the access network device; and send the second sensing and computing result to the AF.

24. A communication device, characterized in that, It includes: One or more processors; Wherein, the communication device is used to execute the information processing method according to any one of claims 1 to 6, or the information processing method according to claim 7 or 8, or the information processing method according to any one of claims 9 to 11, or the information processing method according to any one of claims 12 to 14, or the information processing method according to any one of claims 15 to 17.

25. A storage medium, wherein the storage medium stores instructions, characterized in that, When the instruction runs on the communication device, it causes the communication device to execute the information processing method according to any one of claims 1 to 6, or the information processing method according to claim 7 or 8, or the information processing method according to any one of claims 9 to 11, or the information processing method according to any one of claims 12 to 14, or the information processing method according to any one of claims 15 to 17.

26. A core network device, characterized in that, The core network device includes at least one of NEF, a first network element, a second network element, and a third network element; wherein, the NEF is configured to implement the information processing method described in any one of claims 15 to 17; the first network element is configured to implement the information processing method described in any one of claims 1 to 6; the second network element is configured to implement the information processing method described in claim 7 or 8; the third network element is configured to implement the information processing method described in any one of claims 9 to 11.

27. A communication system, characterized in that, The communication system includes a terminal device, an access network device, and a core network device, the core network device includes at least one of NEF, a first network element, a second network element, and a third network element; wherein, the access network device is configured to implement the information processing method described in any one of claims 12 to 14; the NEF is configured to implement the information processing method described in any one of claims 15 to 17; the first network element is configured to implement the information processing method described in any one of claims 1 to 6; the second network element is configured to implement the information processing method described in claim 7 or 8; the third network element is configured to implement the information processing method described in any one of claims 9 to 11.

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