Perception processing method, device and equipment and readable storage medium

Abstract

The embodiment of the invention provides a perception processing method, device and equipment and a readable storage medium, and the method comprises the steps that a first network function obtains first information, and the first information comprises one or more of the following items: first data fed back by a target perception node and second data fed back by a second network function;

Description

Technical Field

[0001] Embodiments of the present application relate to the field of communication technologies, and more particularly, to a sensing processing method, apparatus, device, and readable storage medium. Background Art

[0002] In a communication system, an access network device may send a sensing signal, and a terminal device may receive the sensing signal (i.e., the echo signal) scattered by the environment and the sensing target. The terminal device may analyze the above echo signal to obtain sensing data. Since the core network cannot process the collected sensing data on demand, the end-to-end information processing capability of the network is affected. Summary of the Invention

[0003] Embodiments of the present application aim to provide a sensing processing method, apparatus, device, and readable storage medium to solve the problem that the core network cannot process the collected sensing data on demand.

[0004] In a first aspect, a sensing processing method is provided, which is applied to a first network function and includes:

[0005] Obtain first information, where the first information includes one or more of the following: first data fed back by a target sensing node, second data fed back by a second network function.

[0006] Optionally, the method further includes: obtaining a first sensing result according to the first information.

[0007] Optionally, the second data includes at least one of the following: all or part of the original sensing data collected by the target sensing node, a second sensing result generated by the second network function.

[0008] Optionally, the second sensing result is a second sensing result generated by the second network function based on the original sensing data collected by the target sensing node.

[0009] Optionally, the first network function includes one or more of the following: LMF, UPF, SF-U, SF, SF-C.

[0010] Optionally, the second network function includes: UPF and / or SF-U.

[0011] Optionally, the method further includes one or more of the following:

[0012] Receive a first sensing request;

[0013] In response to the first sensing request, send a second sensing request to the target sensing node.

[0014] Optionally, in response to the first sensing request, send a second sensing request to the target sensing node, including one or more of the following:

[0015] Obtain the coverage area of the sensing task and / or the location of the sensing target according to the first sensing request;

[0016] Select the target sensing node according to the coverage area of the sensing task and / or the location of the sensing target;

[0017] Send a second sensing request to the target sensing node, where the second sensing request is used to instruct the target sensing node to perform sensing.

[0018] Optionally, receiving the first sensing request includes:

[0019] Receive the first sensing request sent by the third network function and / or the fourth network function.

[0020] Optionally, the first sensing request carries at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information.

[0021] Optionally, after obtaining the first sensing result according to the first information, the method further includes:

[0022] Send the first sensing result to the fifth network function through the third network function and / or the fourth network function.

[0023] Optionally, the third network function includes at least one of the following: NEF, GMLC, UDM.

[0024] Optionally, the fourth network function includes AMF.

[0025] In a second aspect, a sensing processing method is provided, which is applied to a fifth network function and includes:

[0026] Send a first sensing request, where the first sensing request is used to request a first network function to send a second sensing request to a target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

[0027] Optionally, the method further includes:

[0028] Receive a first sensing result, where the first sensing result is obtained by the first network function based on the obtained first information.

[0029] Optionally, the first information includes at least one of the following: first data fed back by the target sensing node, second data fed back by the second network function.

[0030] Optionally, the second data includes at least one of the following: all or part of the original sensing data collected by the target sensing node, the second sensing result generated by the second network function.

[0031] Optionally, the first network function includes one or more of the following: LMF, UPF, SF-U, SF, SF-C.

[0032] Optionally, the second network function includes: UPF and / or SF-U.

[0033] In a third aspect, a sensing processing method is provided, which is applied to a third network function and includes:

[0034] Receiving a first sensing result sent by a fourth network function, where the first sensing result is obtained by the first network function based on the obtained first information;

[0035] Sending the first sensing result to a fifth network function.

[0036] Optionally, the first information includes at least one of the following: first data fed back by the target sensing node, second data fed back by the second network function.

[0037] Optionally, the second data includes at least one of the following: all or part of the original sensing data collected by the target sensing node, the second sensing result generated by the second network function.

[0038] Optionally, before receiving the first sensing result sent by the fourth network function, the method further includes:

[0039] Receiving a first sensing request, where the first sensing request is used to request the first network function to send a second sensing request to the target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing;

[0040] Authenticating the first sensing request;

[0041] Sending the first sensing request that passes the authentication to the first network function through the fourth network function.

[0042] Optionally, the first network function includes one or more of the following: LMF, UPF, SF-U, SF, SF-C.

[0043] Optionally, the second network function includes: UPF and / or SF-U.

[0044] Optionally, the third network function includes at least one of the following: NEF, GMLC, UDM.

[0045] In a fourth aspect, a sensing processing method is provided, which is applied to a fourth network function and includes:

[0046] Receive a first perception result sent by a first network function, where the first perception result is obtained by the first network function based on acquired first information;

[0047] Send the first perception result to a fifth network function through a third network function.

[0048] Optionally, the first information includes one or more of the following: first data fed back by a target perception node, second data fed back by a second network function.

[0049] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, a second perception result generated by the second network function.

[0050] Optionally, before receiving the first perception result sent by the first network function, the method further includes:

[0051] Receive a first perception request sent by the third network function;

[0052] In response to the first perception request, select the first network function;

[0053] Send the first perception request to the first network function, where the first perception request is used to request the first network function to send a second perception request to a target perception node, and the second perception request is used to instruct the target perception node to perform perception.

[0054] Optionally, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0055] Optionally, the second network function includes: UPF and / or SF-U.

[0056] In a fifth aspect, a perception processing apparatus is provided, which is applied to a first network function and includes:

[0057] A first acquisition module, configured to acquire first information, where the first information includes one or more of the following: first data fed back by a target perception node, second data fed back by a second network function.

[0058] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, a second perception result generated by the second network function.

[0059] In a sixth aspect, a perception processing apparatus is provided, which is applied to a fifth network function and includes:

[0060] A third sending module, configured to send a first sensing request, where the first sensing request is used to request a first network function to send a second sensing request to a target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

[0061] Optionally, the apparatus further includes: a second receiving module, configured to receive a first sensing result, where the first sensing result is obtained by the first network function based on acquired first information.

[0062] Optionally, the first information includes at least one of the following: first data fed back by a target sensing node, second data fed back by a second network function.

[0063] Optionally, the second data includes at least one of the following: all or part of the original sensing data collected by a target sensing node, a second sensing result generated by the second network function.

[0064] In a seventh aspect, a sensing processing apparatus is provided, which is applied to a third network function and includes:

[0065] A third receiving module, configured to receive a first sensing result sent by a fourth network function, where the first sensing result is obtained by the first network function based on acquired first information;

[0066] A fourth sending module, configured to send the first sensing result to a fifth network function.

[0067] In an eighth aspect, a sensing processing apparatus is provided, which is applied to a fourth network function and includes:

[0068] A fifth receiving module, configured to receive a first sensing result sent by a first network function, where the first sensing result is obtained by the first sensing function based on acquired first information;

[0069] A sixth sending module, configured to send the first sensing result to the fifth network function through the third network function.

[0070] In a ninth aspect, a communication device is provided, including a processor, a memory, and a program or instruction stored in the memory and executable on the processor, where when the program or instruction is executed by the processor, the steps of the method described in the first aspect or the second aspect or the third aspect or the fourth aspect are implemented.

[0071] In a tenth aspect, a readable storage medium is provided, where a program or instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect or the second aspect or the third aspect or the fourth aspect are implemented.

[0072] In this application, a first network function obtains first information, where the first information includes at least one of the following: first data fed back by a target sensing node, and second data fed back by a second network function, enabling the core network to process the collected sensing data as needed. Description of the Drawings

[0073] By reading the following detailed description of the preferred embodiments, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of illustrating the preferred embodiments and are not considered to be a limitation of this application. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings:

[0074] Figure 1 is one of the flowcharts of the sensing processing method provided by an embodiment of this application;

[0075] Figure 2 is another flowchart of the sensing processing method provided by an embodiment of this application;

[0076] Figure 3 is yet another flowchart of the sensing processing method provided by an embodiment of this application;

[0077] Figure 4 is still another flowchart of the sensing processing method provided by an embodiment of this application;

[0078] Figure 5 is yet another flowchart of the sensing processing method provided by an embodiment of this application;

[0079] Figure 6 is still another flowchart of the sensing processing method provided by an embodiment of this application;

[0080] Figure 7 is another flowchart of the sensing processing method provided by an embodiment of this application;

[0081] Figure 8 is one of the schematic diagrams of the sensing processing device provided by an embodiment of this application;

[0082] Figure 9 is another schematic diagram of the sensing processing device provided by an embodiment of this application;

[0083] Figure 10 is yet another schematic diagram of the sensing processing device provided by an embodiment of this application;

[0084] Figure 11 is still another schematic diagram of the sensing processing device provided by an embodiment of this application;

[0085] Figure 12 is the schematic diagram of the communication device provided by an embodiment of this application. Detailed Embodiments

[0086] Next, in combination with the accompanying drawings in the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts belong to the scope of protection of the present application.

[0087] The term "including" and any variation thereof in the specification and claims of the present application are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices. In addition, the use of "and / or" in the specification and claims means at least one of the connected objects. For example, A and / or B means including three cases: A alone, B alone, and both A and B exist.

[0088] In the embodiments of the present application, words such as "exemplary" or "for example" are used to represent examples, illustrations, or explanations. Any embodiment or design solution described as "exemplary" or "for example" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplary" or "for example" is intended to present relevant concepts in a specific manner.

[0089] See Figure 1 , the embodiments of the present application provide a perception processing method, which is applied to a first network function, and the specific steps include: step 101 and step 102.

[0090] Step 101: Obtain first information, where the first information includes at least one of the following: first data fed back by a target perception node, second data fed back by a second network function.

[0091] In this embodiment, the first data may be first perception data, and the second data may be second perception data.

[0092] In an implementation manner of the present application, the method further includes: obtaining a first perception result according to the first information.

[0093] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, a second perception result generated by the second network function. For example, a second perception result generated by the second network function based on the original perception data collected by the target perception node.

[0094] It can be understood that the first network function directly obtains the first data fed back by the target sensing node. The first data can be the original sensing data collected by the target sensing node, and / or the first network function can obtain the second data fed back by the second network function. The second data can include the second sensing result generated by the second network function based on the original sensing data collected by the target sensing node.

[0095] It should be noted that the number of the second network functions is not specifically limited in this embodiment. That is, the first network function can obtain the second data fed back by one or more second network functions.

[0096] Example 1: The second data can include the original sensing data collected by the target sensing node. That is, the second network function does not process the original sensing data. The second network function is only responsible for sending the original sensing data to the first network function, and the first network function processes (such as sensing calculation) the original sensing data to obtain the first sensing result.

[0097] Example 2: The second data can include the sensing data that needs to be processed by the first network function in the original sensing data (i.e., part of the original sensing data). That is, the second network function only processes part of the original sensing data, and sends the unprocessed original sensing data and the second sensing result obtained by processing through the second network function to the first network function. The first network function processes (such as sensing calculation) according to the unprocessed original sensing data and the second sensing result obtained by processing through the second network function to obtain the first sensing result.

[0098] Example 3: The second data can include the second sensing result generated by the second network function according to the original sensing data collected by the target sensing node. That is, the second network function can process all the original sensing data, and multiple second network functions respectively send the second sensing results to the first network function. The first network function processes (such as sensing calculation) the received multiple second sensing results to obtain the first sensing result.

[0099] That is to say, in this application, the first network function can perform sensing data calculation, or can also integrate the sensing results. Optionally, the second network function can calculate the sensing data and generate the second sensing result.

[0100] In an implementation manner of the present application, when the first information includes the sensing data fed back by the target sensing node, the first network function includes at least one of the following: Location Management Function (LMF), User Plane Function (UPF), Sensing Function (SF), Sensing Function Control Plane (SF-C), Sensing Function User Plane (SF-U), that is, the sensing data is processed by the LMF or SF, or the sensing data is processed by the user plane.

[0101] In an implementation manner of the present application, the second network function includes: UPF and / or SF-U.

[0102] It can be understood that the first network function in the present application can be a separate functional entity, or the function can also be enhanced and implemented on the LMF or GMLC.

[0103] In an implementation manner of the present application, before obtaining the first information, the method further includes at least one of the following:

[0104] Receiving a first sensing request;

[0105] In response to the first sensing request, sending a second sensing request to the target sensing node.

[0106] Optionally, the first sensing request carries at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information.

[0107] In an implementation manner of the present application, sending a second sensing request to the target sensing node in response to the first sensing request includes at least one of the following:

[0108] According to the first sensing request, obtaining the coverage range of the sensing task and / or the sensing target location;

[0109] According to the coverage range of the sensing task and the sensing target location, selecting the target sensing node;

[0110] Sending a second sensing request to the target sensing node, where the second sensing request is used to instruct the target sensing node to perform sensing.

[0111] Optionally, the second sensing request carries at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information.

[0112] In an implementation manner of the present application, receiving the first sensing request includes: receiving the first sensing request sent by the third network function and / or the fourth network function.

[0113] Optionally, the third network function includes at least one of the following: Network Exposure Function (NEF), Gateway Mobile Location Center (GMLC), and Unified Data Management (UDM). Optionally, GMLC or UDM is used to perform authorization check on the first sensing request.

[0114] Optionally, the fourth network function includes Access and Mobility Management Function (AMF).

[0115] For example, NEF receives the first sensing request sent by AF, NEF sends the first sensing request to GMLC, GMLC performs sensing authentication on the first sensing request, GMLC sends the first sensing request to AMF, and AMF sends the first sensing request to the first network function.

[0116] For another example, NEF receives the first sensing request sent by AF, NEF sends the first sensing request to UDM, UDM performs sensing authentication on the first sensing request, UDM feeds back the sensing authentication result to NEF, NEF sends the first sensing request to AMF, and AMF sends the first sensing request to the first network function.

[0117] In an implementation manner of the present application, after obtaining the first sensing result according to the first information, the method further includes:

[0118] Sending the first sensing result to the fifth network function through the third network function and / or the fourth network function.

[0119] For example, the first network function sends the first sensing result to AMF, AMF sends the first sensing result to GMLC, GMLC sends the first sensing result to NEF, and NEF sends the first sensing result to AF.

[0120] For another example, the first network function sends the first sensing result to AMF, AMF sends the first sensing result to NEF, and NEF sends the first sensing result to AF.

[0121] The network functions in this application are also core network functions. For example, the first network function can be the first core network function, the second network function can be the second core network function, the third network function can be the third core network function, and the fourth network function can be the fourth core network function.

[0122] In this embodiment, the core network can process the collected perception data as needed.

[0123] See Figure 2 , this embodiment of the application provides a perception processing method, which is applied to the fifth network function, such as AF, and the specific steps include step 201.

[0124] Step 201: Send a first perception request, where the first perception request is used to request the first network function to send a second perception request to the target perception node, and the second perception request is used to instruct the target perception node to perform perception.

[0125] For example, the fifth network function sends the first perception request through the third network function and / or the fourth network function.

[0126] Optionally, the third network function includes at least one of the following: NEF, GMLC, UDM. Optionally, NEF, GMLC or UDM can perform perception authentication check on the first perception request.

[0127] Optionally, the fourth network function includes AMF.

[0128] Optionally, the first perception request carries at least one of the following: service type, service requirement, perception resolution, perception accuracy, frame rate, duration, location information, delay, perception target information.

[0129] Optionally, the method further includes: receiving a first perception result, where the first perception result is obtained by the first network function based on the obtained first information.

[0130] Optionally, the first information includes at least one of the following: the first data fed back by the target perception node, the second data fed back by the second network function.

[0131] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, the second perception result generated by the second network function, for example, the second perception result generated by the second network function based on the original perception data collected by the target perception node.

[0132] For example, the fifth network function receives the first perception result through the third network function and / or the fourth network function.

[0133] In an embodiment of the present application, when the first information includes the sensing data fed back by the target sensing node, the first network function includes one or more of the following: LMF, UPF, SF-U.

[0134] For example, AF sends a first sensing request to NEF, NEF sends the first sensing request to GMLC, GMLC performs sensing authentication on the first sensing request, GMLC sends the first sensing request to AMF, and AMF sends the first sensing request to the first network function.

[0135] For another example, AF sends a first sensing request to NEF, NEF sends the first sensing request to UDM, UDM performs sensing authentication on the first sensing request, UDM feeds back the sensing authentication result to NEF, NEF sends the first sensing request to AMF, and AMF sends the first sensing request to the first network function.

[0136] In an embodiment of the present application, when the first information includes the second data fed back by the second network function, the second network function includes: UPF and / or SF-U, and the first network function includes: SF and / or SF-C.

[0137] In this embodiment, the core network can process the collected sensing data as needed.

[0138] See Figure 3 , an embodiment of the present application provides a sensing processing method, which is applied to a third network function, and the specific steps include: step 301 and step 302.

[0139] Step 301: Receive a first sensing result sent by a fourth network function, where the first sensing result is obtained by the first network function based on the obtained first information;

[0140] Step 302: Send the first sensing result to a fifth network function.

[0141] Optionally, the first information includes at least one of the following: the first data fed back by the target sensing node, the second data fed back by the second network function.

[0142] Optionally, the second data includes at least one of the following: all or part of the original sensing data collected by the target sensing node, the second sensing result generated by the second network function, for example, the second sensing result generated by the second network function based on the original sensing data collected by the target sensing node.

[0143] In an embodiment of the present application, before receiving the first sensing result, the method further includes:

[0144] Receive a first sensing request for requesting a first network function to send a second sensing request to a target sensing node, where the second sensing request is used to instruct the target sensing node to perform sensing;

[0145] Authenticate the first sensing request;

[0146] Send the first sensing request that passes the authentication to the first network function through the fourth network function.

[0147] Optionally, the first sensing request carries at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, latency, sensing target information.

[0148] In an implementation manner of this application, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0149] In an implementation manner of this application, the second network function includes: UPF and / or SF-U.

[0150] In an implementation manner of this application, the third network function includes at least one of the following: NEF, GMLC, UDM.

[0151] In an implementation manner of this application, the fourth network function includes but is not limited to AMF.

[0152] For example, NEF receives a first sensing request sent by AF, GMLC performs sensing authentication on the first sensing request, GMLC sends the first sensing request that passes the sensing authentication to AMF, and AMF sends the first sensing request to the first network function; GMLC receives the first sensing result sent by AMF, GMLC sends the first sensing result to NEF, and NEF sends the first sensing result to AF.

[0153] For another example, NEF receives a first sensing request sent by AF, NEF sends the first sensing request to UDM, UDM performs sensing authentication on the first sensing request, UDM feeds back the sensing authentication result to NEF, NEF sends the first sensing request that passes the sensing authentication to AMF, and AMF sends the first sensing request to the first network function; NEF receives the first sensing result sent by AMF, and NEF sends the first sensing result to AF.

[0154] In this embodiment, the core network can process the collected sensing data as needed.

[0155] See Figure 4, an embodiment of the present application provides a perception processing method, which is applied to a fourth network function. The specific steps include: step 401 and step 402.

[0156] Step 401: Receive a first perception result sent by a first network function, where the first perception result is obtained by the first network function based on the obtained first information;

[0157] Optionally, the first information includes at least one of the following: first data fed back by a target perception node, second data fed back by a second network function.

[0158] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by a target perception node, a second perception result generated by the second network function based on the original perception data collected by the target perception node;

[0159] Step 402: Send the first perception result to a fifth network function through a third network function.

[0160] In an embodiment of the present application, the third network function includes at least one of the following: NEF, GMLC, UDM.

[0161] In an embodiment of the present application, the fourth network function includes but is not limited to AMF.

[0162] For example, NEF receives a first perception request sent by AF, GMLC performs perception authentication on the first perception request, GMLC sends the first perception request that passes the perception authentication to AMF, and AMF sends the first perception request to the first network function; GMLC receives the first perception result sent by AMF, GMLC sends the first perception result to NEF, and NEF sends the first perception result to AF.

[0163] For another example, NEF receives a first perception request sent by AF, NEF sends the first perception request to UDM, UDM performs perception authentication on the first perception request, UDM feeds back the perception authentication result to NEF, NEF sends the first perception request that passes the perception authentication to AMF, and AMF sends the first perception request to the first network function; NEF receives the first perception result sent by AMF, and NEF sends the first perception result to AF.

[0164] In an embodiment of the present application, before receiving the first perception result sent by the first network function, the method further includes:

[0165] Receive a first perception request sent by a third network function;

[0166] In response to the first perception request, select the first network function;

[0167] Send the first sensing request to the first network function, where the first sensing request is used to request the first network function to send a second sensing request to the target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

[0168] Optionally, the first sensing request carries at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information.

[0169] In an implementation manner of this application, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0170] In an implementation manner of this application, the second network function includes: UPF and / or SF-U.

[0171] In this embodiment, the core network can process the collected sensing data as needed.

[0172] The implementation manners of this application are introduced below in combination with Embodiment 1 to Embodiment 3.

[0173] Embodiment 1: LMF processes sensing data.

[0174] See Figure 5 , and the specific steps are as follows:

[0175] Step 501: The fifth network function sends a first sensing request to the NEF;

[0176] Optionally, the fifth network function may be an AF.

[0177] Optionally, the first sensing request may include at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information, etc.

[0178] Step 502: The NEF sends the first sensing request to the GMLC, and the GMLC performs authorization check.

[0179] Optionally, the NEF may be the third network function.

[0180] Step 503: After successful authorization, the GMLC sends the first sensing request to the AMF.

[0181] Optionally, the GMLC may be the third network function.

[0182] Step 504: The AMF selects an LMF according to the coverage range of the sensing task and / or the sensing target location.

[0183] Step 505: The AMF sends a first sensing request to the LMF.

[0184] For example, the AMF is the fourth network function and the LMF is the first network function.

[0185] Step 506: The LMF creates a sensing task, detects the sensing target location, and selects a suitable target sensing node according to the target location information (for example, the target sensing node may include the RAN and / or the UE and / or the Sensor), and sends a second sensing request to the target sensing node to control the target sensing node to perform sensing detection.

[0186] Step 507: The target sensing node performs sensing data detection and obtains sensing data (or called sensing measurement data).

[0187] Step 508: The target sensing node reports the sensing data to the LMF.

[0188] Step 509: The LMF collects the sensing data fed back by multiple target sensing nodes for sensing calculation and obtains a first sensing result.

[0189] Step 510: The LMF sends a sensing response to the AMF, and the sensing response includes the first sensing result.

[0190] Step 511: The AMF sends a sensing response to the sensing application through the GMLC and the NEF, and the sensing response includes the first sensing result.

[0191] For example, the GMLC and the NEF are the third network functions.

[0192] Embodiment 2: The user plane processes sensing data.

[0193] See Figure 6 , and the specific steps are as follows:

[0194] Step 601: The fifth network function sends a first sensing request to the NEF;

[0195] For example, the fifth network function may be the AF.

[0196] Optionally, the first sensing request includes at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information, etc.

[0197] Step 602: The NEF interacts with the UDM to perform an authorization check on the first sensing request.

[0198] After successful authorization, the NEF sends the first sensing request to the AMF.

[0199] Step 604: The AMF selects an SF-C based on the coverage of the sensing task and / or the location of the sensing target.

[0200] For example, the NEF and UDM can be the third network function.

[0201] Step 605: The AMF sends a first sensing request to the SF-C.

[0202] For example, the AMF can be the fourth network function.

[0203] Step 606: The SF-C creates a sensing task, detects the location of the sensing target, and selects a suitable target sensing node according to the target location information (for example, the target sensing node can include the RAN and / or the UE and / or the Sensor), and sends a second sensing request to the target sensing node to control the target sensing node to perform sensing detection.

[0204] Step 607: The target sensing node performs sensing data detection and obtains sensing data.

[0205] Step 608: The target sensing node reports the sensing data to the UPF or SF-U.

[0206] For example, the UPF or SF-U is the first network function.

[0207] Step 609: The UPF or SF-U collects the sensing data feedback from multiple target sensing nodes for sensing calculation and obtains a first sensing result.

[0208] Step 610: The UPF or SF-U sends the first sensing result to the SF-C.

[0209] Step 611: The SF-C returns the first sensing result to the AMF.

[0210] Step 612: The AMF returns the first sensing result to the AF through the NEF.

[0211] Embodiment 3: The user plane and the control plane perform sensing data processing.

[0212] See Figure 7 , and the specific steps are as follows:

[0213] Step 701: The fifth network function sends a first sensing request to the NEF.

[0214] Optionally, the first sensing request includes at least one of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, delay, sensing target information, etc.

[0215] Step 702: The NEF performs an authorization check on the first sensing request of the fifth network function and can go to the UDM for authentication if necessary.

[0216] Step 703: After successful authorization, the NEF sends the first sensing request to the AMF.

[0217] Step 704: The AMF selects an SF or an SF-C according to the sensing target location or type.

[0218] Step 705: The AMF sends the first sensing request to the SF or the SF-C.

[0219] Step 706: The SF or the SF-C creates a sensing task, detects the sensing target location, and selects a suitable plurality of target sensing nodes according to the target location information (for example, the target sensing nodes include the RAN and / or the UE and / or the Sensor), and sends a second sensing request to the target sensing nodes to control the target sensing nodes to perform sensing detection.

[0220] Step 707: A plurality of sensing nodes perform sensing data detection and obtain sensing data.

[0221] Step 708: The target sensing nodes report the sensing data to the UPF or the SF-U.

[0222] For example, the UPF or the SF-U can be the second network function.

[0223] Step 709: The UPF or the SF-U collects the sensing data fed back by the target sensing nodes for sensing calculation.

[0224] Step 710: A plurality of UPFs or SF-U send their respective second sensing results to the SF or the SF-C

[0225] Step 711: The SF or the SF-C integrates and calculates the second sensing results reported by a plurality of UPFs or SF-U and generates a first sensing result.

[0226] Step 712: The SF or the SF-C returns the first sensing result to the AMF.

[0227] Step 713: The AMF returns the first sensing result to the AF through the NEF.

[0228] See Figure 8 , an embodiment of the present application provides a sensing processing device, which is applied to the first network function. The device 800 includes:

[0229] A first acquisition module 801, configured to acquire first information, where the first information includes at least one of the following: first data fed back by a target sensing node, and second data fed back by a second network function.

[0230] In an implementation manner of the present application, the apparatus 800 further includes:

[0231] A first processing module 802, configured to obtain a first perception result according to the first information.

[0232] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, the second perception result generated by the second network function.

[0233] In an implementation manner of the present application, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0234] In an implementation manner of the present application, the second network function includes: UPF and / or SF-U.

[0235] In an implementation manner of the present application, the apparatus 800 further includes:

[0236] A first receiving module, configured to receive a first perception request;

[0237] A first sending module, configured to send a second perception request to a target perception node in response to the first perception request.

[0238] Optionally, the first perception request carries at least one of the following: service type, service requirement, perception resolution, perception accuracy, frame rate, duration, location information, time delay, perception target information.

[0239] In an implementation manner of the present application, the first sending module is further configured to:

[0240] Obtain the coverage range of the perception task and the perception target location according to the first perception request;

[0241] Select the target perception node according to the coverage range of the perception task and the perception target location;

[0242] Send the second perception request to the target perception node, and the second perception request is used to instruct the target perception node to perform perception.

[0243] Optionally, the second perception request carries at least one of the following: service type, service requirement, perception resolution, perception accuracy, frame rate, duration, location information, time delay, perception target information.

[0244] In an implementation manner of the present application, the first receiving module is further configured to: receive the first perception request sent by the third network function and / or the fourth network function.

[0245] In one embodiment of the present application, the apparatus 800 further includes:

[0246] A second sending module, configured to send the first sensing result to a fifth network function through a third network function and / or a fourth network function.

[0247] In one embodiment of the present application, the third network function includes at least one of the following: NEF, GMLC, UDM.

[0248] In one embodiment of the present application, the fourth network function includes AMF.

[0249] The apparatus provided by the embodiments of the present application can implement Figure 1 each process implemented by the method embodiments shown, and achieve the same technical effects. To avoid repetition, details are not described here again.

[0250] See Figure 9 , the embodiments of the present application provide a sensing processing apparatus, which is applied to a fifth network function. The apparatus 900 includes:

[0251] A third sending module 901, configured to send a first sensing request, where the first sensing request is used to request a first network function to send a second sensing request to a target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

[0252] Optionally, the apparatus further includes: a second receiving module, configured to receive a first sensing result, where the first sensing result is obtained by the first network function based on the obtained first information.

[0253] Optionally, the first information includes at least one of the following: first data fed back by the target sensing node, second data fed back by a second network function.

[0254] Optionally, the second data includes at least one of the following: all or part of the original sensing data collected by the target sensing node, a second sensing result generated by the second network function.

[0255] In one embodiment of the present application, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0256] In one embodiment of the present application, the second network function includes: UPF and / or SF-U.

[0257] The apparatus provided by the embodiments of the present application can implement Figure 2 each process implemented by the method embodiments shown, and achieve the same technical effects. To avoid repetition, details are not described here again.

[0258] SeeFigure 10 , an embodiment of the present application provides a perception processing device, which is applied to a third network function. The device 1000 includes:

[0259] A third receiving module 1001, configured to receive a first perception result sent by a fourth network function, where the first perception result is obtained by the first network function based on the acquired first information;

[0260] A fourth sending module 1002, configured to send the first perception result to a fifth network function.

[0261] In an implementation manner of the present application, the first information includes at least one of the following: first data fed back by a target perception node, and second data fed back by a second network function.

[0262] In an implementation manner of the present application, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, and a second perception result generated by the second network function.

[0263] In an implementation manner of the present application, the device 1000 further includes:

[0264] A fourth receiving module, configured to receive a first perception request, where the first perception request is used to request the first network function to send a second perception request to the target perception node, and the second perception request is used to instruct the target perception node to perform perception;

[0265] An authentication module, configured to authenticate the first perception request;

[0266] A fifth sending module, configured to send the first perception request that passes the authentication to the first network function through the fourth network function.

[0267] In an implementation manner of the present application, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0268] In an implementation manner of the present application, the second network function includes: UPF and / or SF-U.

[0269] In an implementation manner of the present application, the third network function includes at least one of: NEF, GMLC, UDM.

[0270] The device provided by the embodiment of the present application can implement Figure 3 each process implemented by the method embodiment shown, and achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0271] See Figure 11, an embodiment of the present application provides a perception processing device, which is applied to a fourth network function. The device 1100 includes:

[0272] A fifth receiving module 1101, configured to receive a first perception result sent by a first network function, where the first perception result is obtained by the first network function based on obtained first information;

[0273] A sixth sending module 1102, configured to send the first perception result to a fifth network function through a third network function.

[0274] Optionally, the first information includes at least one of the following: first data fed back by a target perception node, second data fed back by a second network function.

[0275] Optionally, the second data includes at least one of the following: all or part of the original perception data collected by the target perception node, a second perception result generated by the second network function based on the original perception data collected by the target perception node.

[0276] In an embodiment of the present application, the device further includes:

[0277] A sixth receiving module, configured to receive a first perception request sent by a third network function;

[0278] A selection module, configured to select the first network function in response to the first perception request;

[0279] A seventh sending module, configured to send the first perception request to the first network function, where the first perception request is used to request the first network function to send a second perception request to a target perception node, and the second perception request is used to instruct the target perception node to perform perception.

[0280] In an embodiment of the present application, the first network function includes at least one of the following: LMF, UPF, SF-U, SF, SF-C.

[0281] In an embodiment of the present application, the second network function includes: UPF and / or SF-U.

[0282] The device provided by the embodiment of the present application can implement Figure 4 each process implemented by the method embodiment shown, and achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0283] As Figure 12As shown, an embodiment of the present application further provides a communication device 1200, including a processor 1201, a memory 1202, a program or instruction stored on the memory 1202 and executable on the processor 1201. When the program or instruction is executed by the processor 1201, it implements the above Figure 1 or Figure 2 or Figure 3 or Figure 4 each process of the method embodiment and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0284] An embodiment of the present application further provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, it implements the above Figure 1 or Figure 2 or Figure 3 or Figure 4 each process of the method embodiment shown and can achieve the same technical effect. To avoid repetition, it will not be elaborated here.

[0285] Wherein, the processor is the processor in the terminal described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disc, etc.

[0286] The steps of the method or algorithm described in combination with the disclosed content of the present application can be implemented in a hardware manner or by a processor executing software instructions. The software instructions can be composed of corresponding software modules, and the software modules can be stored in a RAM, a flash memory, a ROM, an EPROM, an EEPROM, a register, a hard disk, a removable hard disk, a read-only optical disc, or any other form of storage medium well-known in the art. An exemplary storage medium is coupled to the processor, so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and the storage medium can be carried in an ASIC. Additionally, the ASIC can be carried in a core network interface device. Of course, the processor and the storage medium can also exist as discrete components in the core network interface device.

[0287] Those skilled in the art should be able to realize that in one or more of the above examples, the functions described in this application can be implemented by hardware, software, firmware, or any combination thereof. When implemented using software, these functions can be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium. Computer-readable media include computer storage media and communication media, where communication media includes any medium that facilitates the transfer of a computer program from one place to another. Storage media can be any available medium that can be accessed by a general-purpose or special-purpose computer.

[0288] The specific embodiments described above further elaborate on the purpose, technical solutions, and beneficial effects of this application. It should be understood that the above description is only for the specific embodiments of this application and is not used to limit the protection scope of this application. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solutions of this application should be included in the protection scope of this application.

[0289] Those skilled in the art should understand that the embodiments of this application can be provided as methods, systems, or computer program products. Therefore, the embodiments of this application can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of this application can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0290] The embodiments of this application are described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of this application. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for implementing the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1 one block or multiple blocks.

[0291] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device that implements the functions specified in Figure 1 one flow or multiple flows and / or blocks Figure 1The functions specified in one or more boxes.

[0292] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide for implementing steps of the functions specified in one Figure 1 one process or more processes and / or boxes Figure 1 step of the functions specified in one box or more boxes.

[0293] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these changes and modifications.

Claims

1. A perception processing method, applied to a first network function, characterized in that, including: obtaining first information, where the first information includes one or more of the following: first data fed back by a target sensing node, second data fed back by a second network function.

2. The method according to claim 1, wherein The method further includes: obtaining a first sensing result according to the first information.

3. The method according to claim 1, characterized in that, The second data includes one or more of the following: all or part of the original sensing data collected by the target sensing node; a second sensing result generated by the second network function.

4. The method according to claim 3, wherein the second sensing result is a second sensing result generated by the second network function based on the original sensing data collected by the target sensing node.

5. The method according to claim 1, characterized in that The first network function includes one or more of the following: Location Management Function (LMF), User Plane Function (UPF), Sensing Function (SF), Sensing Function Control Plane (SF-C), Sensing Function User Plane (SF-U).

6. The method according to claim 1, characterized in that The second network function includes: UPF and / or SF-U.

7. The method according to claim 1, characterized in that, The method further includes one or more of the following: receiving a first sensing request; in response to the first sensing request, sending a second sensing request to the target sensing node.

8. The method according to claim 7, wherein Responding to the first sensing request and sending a second sensing request to the target sensing node includes one or more of the following: obtaining the coverage area and / or the sensing target location of the sensing task according to the first sensing request; selecting the target sensing node according to the coverage area and / or the sensing target location of the sensing task; sending the second sensing request to the target sensing node, where the second sensing request is used to instruct the target sensing node to perform sensing.

9. The method according to claim 7, wherein Receiving the first sensing request includes: receiving the first sensing request sent by a third network function and / or a fourth network function.

10. The method according to claim 7 or 8 or 9, characterized in that, The first sensing request carries one or more of the following: service type, service requirement, sensing resolution, sensing accuracy, frame rate, duration, location information, time delay, sensing target information.

11. The method according to claim 2, characterized in that, The method further includes: sending the first sensing result to a sensing application function through the third network function and / or the fourth network function.

12. The method according to claim 9 or 11, characterized in that, The third network function includes one or more of the following: Network Exposure Function (NEF), Gateway Mobile Location Center (GMLC), Unified Data Management Function (UDM).

13. The method according to claim 9 or 11, characterized in that, The fourth network function includes Access and Mobility Management Function (AMF).

14. A perception processing method, applied to a fifth network function, characterized in that, including: sending a first sensing request, where the first sensing request is used to request the first network function to send a second sensing request to the target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

15. The method according to claim 14, wherein The method further includes: receiving a first sensing result, where the first sensing result is obtained by the first network function based on the obtained first information.

16. The method according to claim 15, wherein, The first information includes at least one of the following: first data fed back by the target sensing node, second data fed back by the second network function.

17. The method according to claim 16, wherein The second data includes one or more of the following: all or part of the original sensing data collected by the target sensing node, a second sensing result generated by the second network function.

18. The method according to claim 14, wherein The first network function includes one or more of the following: LMF, UPF, SF-U, SF, SF-C.

19. The method according to claim 16, wherein The second network function includes: UPF and / or SF-U.

20. A perception processing method, applied to a third network function, characterized in that including: Receive the first sensing result sent by the fourth network function, where the first sensing result is obtained by the first network function based on the obtained first information; Send the first sensing result to the fifth network function.

21. The method according to claim 20, wherein The first information includes at least one of the following: the first data fed back by the target sensing node, and the second data fed back by the second network function.

22. The method according to claim 21, wherein The second data includes one or more of the following: all or part of the original sensing data collected by the target sensing node, and the second sensing result generated by the second network function.

23. The method according to claim 20, characterized in that, The method further includes: Receive a first sensing request for requesting the first network function to send a second sensing request to the target sensing node, where the second sensing request is used to instruct the target sensing node to perform sensing; Authenticate the first sensing request; Send the first sensing request that passes the authentication to the first network function through the fourth network function.

24. The method according to claim 20, characterized in that, The first network function includes one or more of the following: LMF, UPF, SF-U, SF, SF-C.

25. The method according to claim 21, wherein The second network function includes: UPF and / or SF-U.

26. The method according to claim 20, wherein The third network function includes one or more of the following: NEF, GMLC, UDM.

27. A perception processing method, applied to a fourth network function, characterized in that, Includes: Receive the first sensing result sent by the first network function, where the first sensing result is obtained by the first network function based on the obtained first information; Send the first sensing result to the fifth network function through the third network function.

28. The method according to claim 27, wherein The first information includes at least one of the following: the first data fed back by the target sensing node, and the second data fed back by the second network function.

29. The method according to claim 28, wherein The second data includes one or more of the following: all or part of the original sensing data collected by the target sensing node, and the second sensing result generated by the second network function.

30. The method according to claim 27, characterized in that, The method further includes: Receive the first sensing request sent by the third network function; In response to the first sensing request, select the first network function; Send the first sensing request to the first network function, where the first sensing request is used to request the first network function to send a second sensing request to the target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

31. A perception processing device, applied to a first network function, characterized in that, Includes: A first acquisition module for acquiring first information, where the first information includes at least one of the following: the first data fed back by the target sensing node, and the second data fed back by the second network function.

32. A perception processing device, applied to a fifth network function, characterized in that Includes: A third sending module for sending a first sensing request, where the first sensing request is used to request the first network function to send a second sensing request to the target sensing node, and the second sensing request is used to instruct the target sensing node to perform sensing.

33. A perception processing device is applied to a third network function, characterized in that, Includes: A third receiving module for receiving the first sensing result sent by the fourth network function, where the first sensing result is obtained by the first network function based on the obtained first information; A fourth sending module for sending the first sensing result to the fifth network function.

34. A perception processing device is applied to a fourth network function, characterized in that Includes: A fifth receiving module for receiving the first sensing result sent by the first network function, where the first sensing result is obtained by the first sensing function based on the obtained first information; A sixth sending module, configured to send the first sensing result to a fifth network function via a third network function.

35. A communication device, characterized in that, It includes a processor, a memory, and programs or instructions stored on the memory and executable on the processor. When the programs or instructions are executed by the processor, the steps of the method according to any one of claims 1 to 30 are implemented.

36. A readable storage medium, characterized in that, Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method according to any one of claims 1 to 30 are implemented.

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