Sensing device determination method and apparatus, and storage medium

Abstract

Provided are a sensing device determination method and apparatus, and a storage medium. The sensing device determination method comprises: sending first instruction information to a second network device among at least one third network device, the at least one third network device being a neighboring network device of a first network device, the second network device being a network device that performs sensing on a sensing target after a sensing device for the sensing target has been switched, and the first instruction information being used to instruct the second network device to perform sensing on the sensing target.

Description

Method and device for determining sensing device and storage medium

[0001] This disclosure claims priority to Chinese patent application No. 202410115102.1, filed on January 26, 2024, the entire contents of which are incorporated herein by reference. Technical Field

[0002] The present disclosure relates to the field of communication technologies, and in particular to a method and apparatus for determining a sensing device and a storage medium. Background Art

[0003] Communication sensing technology integrates communication and sensing technologies to achieve target perception while ensuring high-speed communication. In network device sensing mode, a first network device can transmit multiple sensing signals. After being scattered by the environment or sensing target, the first network device and / or the second network device receive multiple echo signals. The first network device and / or the second network device can analyze these echo signals to generate sensing data. Summary of the Invention

[0004] In a first aspect, the present disclosure provides a method for determining a sensing device, performed by a first network device, the first network device being a network device that senses a sensing target before a switching of the sensing device of the sensing target occurs. The method comprises: sending first indication information to a second network device among at least one third network device; the at least one third network device being an adjacent network device of the first network device, the second network device being a network device that senses the sensing target after a switching of the sensing device of the sensing target occurs; the first indication information being used to instruct the second network device to sense the sensing target.

[0005] In one implementation, the method further includes: sending second indication information to each third network device in at least one third network device; the second indication information is used to request the third network device to perceive the perception indicator of the perception target; receiving third indication information from each third network device; the third indication information is used to indicate the perception indicator of the third network device to perceive the perception target; and determining the third network device in at least one third network device whose perception indicator meets the perception request as the second network device.

[0006] In one implementation, the method further includes: when the distance between the predicted mobile position of the perception target and the network device is less than or equal to a first preset threshold, determining the network device as a third network device among the at least one third network device.

[0007] In one implementation, the perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of moving speed, accuracy and / or resolution information of moving direction, accuracy and / or resolution information of moving distance, or perception delay.

[0008] In one implementation, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0009] In one implementation, a perception target is monitored to obtain perception information of the perception target; the perception information includes an initial position, a moving speed, and a moving direction; and based on the perception information, a predicted moving position of the perception target is determined.

[0010] In a second aspect, the present disclosure provides a method for determining a sensing device, performed by a second network device. The method includes: receiving first indication information from a first network device; the first network device is a network device that senses a sensing target before a switching of the sensing device for the sensing target is performed; the second network device is a network device that senses the sensing target after a switching of the sensing device for the sensing target is performed; the first indication information is used to instruct the second network device to sense the sensing target.

[0011] In one implementation, second indication information is received from a first network device; the second indication information is used to request the second network device to perceive a perception indicator of a perception target; and third indication information is sent to the first network device; the third indication information is used to indicate a perception indicator of the second network device to perceive the perception target.

[0012] In one implementation, the perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of moving speed, accuracy and / or resolution information of moving direction, accuracy and / or resolution information of moving distance, or perception delay.

[0013] In one implementation, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0014] In one implementation, the method further includes: sending fourth indication information to the perception network element, the fourth indication information being used to request the perception network element to send configuration resources required for perceiving the perception target to the second network device at the target time; and receiving configuration resources from the perception network element.

[0015] In one implementation, the method further includes: obtaining predicted trajectory information and a big data analysis model of the perception target; the big data analysis model is used to determine perception indicators for perceiving the perception target; and inputting the predicted trajectory information into the big data analysis model to obtain perception indicators for perceiving the perception target by the second network device.

[0016] In one implementation, the method further includes: sensing a perception target, determining actual trajectory information of the perception target and actual perception indicators of the second network device; and updating a big data analysis model based on the actual trajectory information and the actual perception indicators.

[0017] In a third aspect, the present disclosure provides a sensing device determination apparatus, executed by a first network device, the first network device being a network device that senses a sensing target before a sensing device switch is performed for the sensing target. The apparatus comprises: a communication unit and a processing unit; the processing unit being configured to instruct the communication unit to send first indication information to a second network device among at least one third network device; the at least one third network device being an adjacent network device to the first network device, the second network device being a network device that senses the sensing target after a sensing device switch is performed for the sensing target, and the first indication information being configured to instruct the second network device to sense the sensing target.

[0018] In one implementation, the processing unit is further used to instruct the communication unit to send second indication information to each third network device in at least one third network device; the second indication information is used to request the third network device to perceive the perception indicator of the perception target; the processing unit is further used to instruct the communication unit to receive third indication information from each third network device; the third indication information is used to indicate the perception indicator of the third network device to perceive the perception target; the processing unit is further used to determine the third network device in at least one third network device whose perception indicator meets the perception request as the second network device.

[0019] In one implementation, when the distance between the predicted moving position of the perception target and the network device is less than or equal to a first preset threshold, the processing unit is further configured to determine the network device as a third network device among at least one third network device.

[0020] In one implementation, the perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of moving speed, accuracy and / or resolution information of moving direction, accuracy and / or resolution information of moving distance, or perception delay.

[0021] In one implementation, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0022] In one implementation, the processing unit is further used to monitor the perception target and obtain perception information of the perception target; the perception information includes an initial position, a moving speed, and a moving direction; the processing unit is further used to determine the predicted moving position of the perception target based on the perception information.

[0023] In a fourth aspect, the present disclosure provides a perception device determination apparatus, executed by a second network device. The apparatus includes: a communication unit and a processing unit; the processing unit is configured to instruct the communication unit to receive first indication information from a first network device; the first network device is a network device that perceives a perception target before a perception device switch is performed for the perception target, and the second network device is a network device that perceives the perception target after a perception device switch is performed for the perception target, and the first indication information is configured to instruct the second network device to perceive the perception target.

[0024] In one implementation, the processing unit is further used to instruct the communication unit to receive second indication information from the first network device; the second indication information is used to request the second network device to perceive the perception indicators of the perception target; the processing unit is further used to instruct the communication unit to send third indication information to the first network device; the third indication information is used to indicate the perception indicators of the second network device to perceive the perception target.

[0025] In one implementation, the perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of moving speed, accuracy and / or resolution information of moving direction, accuracy and / or resolution information of moving distance, or perception delay.

[0026] In one implementation, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0027] In one implementation, the processing unit is also used to instruct the communication unit to send a fourth indication message to the perception network element, and the fourth indication message is used to request the perception network element to send the configuration resources required for perceiving the perception target to the second network device at the target time; the processing unit is also used to instruct the communication unit to receive the configuration resources from the perception network element.

[0028] In one implementation, the communication unit is further used to obtain predicted trajectory information and a big data analysis model of the perception target; the big data analysis model is used to determine perception indicators for perceiving the perception target; and the processing unit is further used to input the predicted trajectory information into the big data analysis model to obtain perception indicators for perceiving the perception target by the second network device.

[0029] In one implementation, the processing unit is further used to perceive the perception target, determine the actual trajectory information of the perception target and the actual perception index of the second network device; the processing unit is further used to update the big data analysis model based on the actual trajectory information and the actual perception index.

[0030] In a fifth aspect, the present disclosure provides a device for determining a perceptual device. The device includes a processor and a communication interface coupled to the communication interface, the processor configured to execute a computer program or instructions to implement the method for determining a perceptual device according to the first aspect and any implementation of the first aspect.

[0031] In a sixth aspect, the present disclosure provides a computer-readable storage medium, which stores instructions. When the instructions are executed on a terminal, the terminal executes the perception device determination method described in the first aspect and any one of the implementations of the first aspect.

[0032] In a seventh aspect, the present disclosure provides a computer program product comprising instructions. When the computer program product is run on a perception device determination apparatus, the perception device determination apparatus executes the perception device determination method according to the first aspect and any one of the implementations of the first aspect.

[0033] In an eighth aspect, the present disclosure provides a chip, comprising a processor and a communication interface, wherein the communication interface and the processor are coupled, and the processor is used to run a computer program or instructions to implement the perception device determination method described in the first aspect and any one of the implementation methods of the first aspect.

[0034] For example, the chip provided in the present disclosure further includes a memory for storing computer programs or instructions. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] FIG1 is a diagram of an application scenario of communication-aware integration according to some embodiments.

[0036] FIG2 is a schematic diagram of a network architecture of a perception system according to some embodiments.

[0037] FIG3 is a schematic structural diagram of a communication system according to some embodiments.

[0038] FIG4 is a schematic structural diagram of a sensing device determination apparatus according to some embodiments.

[0039] FIG5 is a flowchart of a method for determining a sensing device according to some embodiments.

[0040] FIG6 is a flowchart of another method for determining a sensing device according to some embodiments.

[0041] FIG7 is a schematic structural diagram of another sensing device determination apparatus according to some embodiments. DETAILED DESCRIPTION

[0042] The following describes in detail the method and apparatus for determining a sensing device and the storage medium provided by the embodiments of the present disclosure in conjunction with the accompanying drawings.

[0043] The term "and / or" in this article is merely a description of the association relationship between associated objects, indicating that three relationships may exist. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone.

[0044] The terms “first” and “second” and the like in the specification and drawings of the present disclosure are used to distinguish different objects, or to distinguish different processing of the same object, rather than to describe a specific order of objects.

[0045] Furthermore, the terms "including," "having," and any variations thereof, as used in the description of this disclosure are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or elements is not limited to the listed steps or elements but may also include other steps or elements not listed, or other steps or elements inherent to the process, method, product, or apparatus.

[0046] It should be noted that in the embodiments of the present disclosure, expressions such as "exemplarily" or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described in the embodiments of the present disclosure as "exemplarily" or "for example" should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of expressions such as "exemplarily" or "for example" is intended to present the relevant concepts in a detailed manner.

[0047] As an important technology in communication networks, communication and perception integration technology can enable the two independent functions of communication and perception to coexist in the same system through means such as signal joint design and / or hardware sharing. In this way, while ensuring high-speed communication, the communication system and its reference signals can be used to monitor and track perception targets (for example, unknown objects and known objects). Therefore, communication and perception integration technology can be regarded as a candidate technology for the sixth generation mobile communication technology (6G).

[0048] Figure 1 is a diagram of an application scenario of integrated communication perception according to some embodiments. In this application scenario, the transmission mode of communication perception includes a network device perception mode and a terminal device perception mode. For different transmission modes, the sending node and the receiving node of the perception signal are also different. For example, in the network device perception mode, the first network device can send multiple perception signals, and after being scattered by the environment or the perception target, the first network device receives the multiple perception signals (i.e., echo signals) that have been scattered. For another example, in the network device perception mode, the first network device can send multiple perception signals, and after being scattered by the environment or the perception target, the first network device and the second network device receive the multiple echo signals that have been scattered. For another example, in the network device perception mode, the terminal device can send multiple perception signals, and after being scattered by the environment or the perception target, the network device receives the multiple echo signals that have been scattered. For another example, in the terminal device perception mode, the network device can send multiple perception signals, and after being scattered by the environment or the perception target, the terminal device receives the multiple echo signals that have been scattered. For another example, in the terminal device perception mode, the first terminal device may send multiple perception signals, which are scattered by the environment or the perception target, and then the first terminal device and the second terminal device receive the multiple scattered echo signals. For another example, in the terminal device perception mode, the first terminal device may send multiple perception signals, which are scattered by the environment or the perception target, and then the first terminal device receives the multiple scattered echo signals.

[0049] In a communication perception system, network equipment can first determine the communication perception transmission mode and the uplink and downlink signals required for this transmission mode. Based on the uplink and downlink signals required by this transmission mode, the network equipment can configure corresponding perception signals for perception nodes (network equipment and / or terminal devices). The perception nodes then transmit the perception signals and receive echo signals, analyzing and processing the perception signals to generate perception data.

[0050] Figure 2 is a schematic diagram of a network architecture of a perception system according to some embodiments. In this diagram, the network element functional entities in the perception system include: a unified data management (UDM) function, a network data analytics function (NWDAF), a location management function (LMF), a policy control function (PCF), an access and mobility management function (AMF), a sensing function (SF)-C, a SF-U, a network exposure function (NEF), an application function (AF), user equipment (UE), a radio access network (R)AN), a user plane function (UPF), non-3rd generation partnership project access (N3GPP access), and a 3rd generation partnership project-access gateway function (N3-AGF). The detailed functions of the above network element functional entities are as follows: UDM is responsible for user subscription data management; NWDAF is responsible for providing network analysis services; LMF is responsible for positioning calculation of terminal devices; PCF is responsible for user policy control, including session policy, mobility policy, etc.; AMF is responsible for user access and mobility management; SF is responsible for providing perception services, including the selection of perception nodes, configuration and coordination of perception resources, and processing of perception data; NEF is responsible for opening the capabilities of the fifth generation mobile communication technology (5G) network to external systems; AF is responsible for interoperating with the core network to provide services to users; UPF is responsible for user plane processing; N3GPP access is responsible for connecting to the evolved packet core (EPC) in various ways according to the operator's business model and architecture preferences; N3-AGF is responsible for connecting ordinary telephone users to the soft switch network.

[0051] The connection relationship between the above network element functional entities is as follows.

[0052] NI interface: N1 interface between UE and AMF.

[0053] Uu interface: Uu interface between UE and (R)AN.

[0054] N2 interface: N2 interface between (R)AN and AMF.

[0055] N3 interface: N3 interface between (R)AN and UPF.

[0056] N5 interface: N5 interface between NEF and PCF.

[0057] N8 interface: N8 interface between UDM and AMF.

[0058] N33 interface: N33 interface between NEF and AF.

[0059] The above briefly introduces the network architecture of the perception system in this disclosure.

[0060] In network device sensing mode, a first network device can transmit multiple sensing signals. After being scattered by the environment or sensing target, the first network device and / or the second network device receive the multiple scattered echo signals. The first network device and / or the second network device can analyze the echo signals to obtain sensing data.

[0061] However, when the above-mentioned perception target moves, the distance between the perception target and the perception node (for example, the first network device and the second network device) may be large, resulting in the perception node being unable to monitor and track the perception target, and then the perception target cannot be perceived, making it difficult to achieve continuous perception of the perception target.

[0062] In view of this, an embodiment of the present disclosure provides a method for determining a perception device, in which a first network device sends first indication information to a second network device among at least one third network device, so that the second network device perceives a perception target. In this way, when the first network device is unable to perceive the perception target, or the first network device has a poor perception effect on the perception target, the perception device that perceives the perception target can be switched to the second network device, thereby avoiding the problem that the perception target cannot be perceived normally. Since the second network device is the network device that perceives the perception target after the perception device of the perception target is switched, the second network device can continue to perceive the perception target to achieve continuous perception of the perception target.

[0063] The technical solutions provided by the embodiments of the present disclosure can be applied to various communication systems, for example, a 5G New Radio (NR) communication system, a future evolution system, or a multi-communication convergence system.

[0064] For example, as shown in Figure 3, which is a schematic diagram of the structure of a communication system according to some embodiments, the communication system includes: a first network device 301 and a second network device 302. Figure 3 takes the communication system including a first network device 301 and a second network device 302 as an example for explanation.

[0065] The first network device 301 is configured to send first indication information to a second network device 302 in at least one third network device.

[0066] The second network device 302 is configured to receive the first indication information from the first network device 301 .

[0067] First network device 301 is a network device that senses a target before the target's sensing device is switched. At least one third network device is a neighboring network device of first network device 301. Second network device 302 is a network device that senses the target after the target's sensing device is switched. The first indication information is used to instruct second network device 302 to sense the target.

[0068] In one example, the first network device 301 may be a base station or base station controller for wireless communication, etc. In the embodiment of the present disclosure, the first network device 301 may be a base transceiver station (BTS) in the global system for mobile communication (GSM), code division multiple access (CDMA), a base station (NB) in wideband code division multiple access (WCDMA), a base station (evolved Node B, eNB) in long term evolution (LTE), an eNB in ​​the internet of things (IoT) or narrowband internet of things (NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (PLMN), and the embodiment of the present disclosure does not impose any restrictions on this.

[0069] In another example, the first network device 301 may also be any one of a small base station, a wireless access point, a transmission receive point (TRP), a transmission point (TP), a micro operator, and some other access nodes.

[0070] In one example, the second network device 302 may be an adjacent network device of the first network device 301. The second network device 302 may be a base station or base station controller for wireless communication, etc. In the embodiment of the present disclosure, the second network device 302 may be a global system for mobile communication (GSM), a base transceiver station (BTS) in code division multiple access (CDMA), a base station (NB) in wideband code division multiple access (WCDMA), a base station (evolved Node B, eNB) in long term evolution (LTE), an eNB in ​​the internet of things (IoT) or narrowband internet of things (NB-IoT), a base station in a future 5G mobile communication network or a future evolved public land mobile network (PLMN), and the embodiment of the present disclosure does not impose any restrictions on this.

[0071] In another example, the second network device 302 may also be any one of a small base station, a wireless access point, a transmission receive point (TRP), a transmission point (TP), a micro operator, and some other access node.

[0072] In one implementation, the communication system may further include a perception network element. Exemplarily, the perception network element may be responsible for perception services, such as detecting and / or collecting perception data based on internal network requirements or the requirements of a user of the perception service. It may also provide perception services based on the perception data, such as providing perception services to users of the perception service or optimizing the network based on the perception data. The perception network element may be one of the core network elements, such as one of the 5G core network elements, or it may not be a core network element, such as an access network device or an external application server.

[0073] In another example, the perception function network element may be an SF network element. The SF network element is used to manage the perception operations of the first network device 301, such as receiving resource request information from the second network device 302, participating in the negotiation process for collaborative perception between the first network device 301 and the second network device 302, and issuing perception-related configuration information to the first network device 301 and the second network device 302. The naming of the perception function network element in the embodiments of the present disclosure is merely exemplary, and the perception function network element may have other names, which are not limited by the embodiments of the present disclosure.

[0074] It should be noted that Figure 3 is only an exemplary framework diagram. The number of devices included in Figure 3 and the names of each device are not limited. In addition to the functional devices shown in Figure 3, the communication system may also include other devices, and this disclosure does not impose any restrictions on this.

[0075] The embodiments of the present disclosure do not limit the application scenarios. The system architecture and business scenarios described in the embodiments of the present disclosure are intended to more clearly illustrate the technical solutions of the embodiments of the present disclosure and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Those skilled in the art will appreciate that with the evolution of network architecture and the emergence of new business scenarios, the technical solutions provided by the embodiments of the present disclosure are equally applicable to similar technical problems.

[0076] In detailed implementation, the devices in Figure 3 may all adopt the structure shown in Figure 4, or include the components shown in Figure 4. Figure 4 is a schematic diagram of the structure of a sensing device determination device 400 according to some embodiments. As shown in Figure 4, the sensing device determination device 400 may include a processor 401 and a communication circuit 402.

[0077] Furthermore, the sensing device determination apparatus 400 may further include a communication interface 403 and a memory 404. The processor 401, the memory 404 and the communication interface 403 may be connected via a communication line 402.

[0078] Processor 401 is a CPU, a general-purpose processor, a network processor (NP), a digital signal processor (DSP), a microprocessor, a microcontroller, a programmable logic device (PLD), or any combination thereof. Processor 401 may also be other devices with processing capabilities, such as circuits, devices, or software modules, without limitation.

[0079] The communication line 402 is used to transmit information between the components included in the sensing device determination apparatus 400 .

[0080] Communication interface 403 is used to communicate with other devices or other communication networks. Such other communication networks may be Ethernet, radio access networks (RAN), wireless local area networks (WLAN), etc. Communication interface 403 may be a module, circuit, communication interface, or any other device capable of implementing communication.

[0081] The memory 404 is used to store instructions, which may be computer programs.

[0082] The memory 404 may be a read-only memory (ROM) or other type of static storage device that can store static information and / or instructions, or a random access memory (RAM) or other type of dynamic storage device that can store information and / or instructions, or an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, Blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, etc., without limitation.

[0083] It should be noted that memory 404 can exist independently of processor 401 or be integrated with processor 401. Memory 404 can be used to store instructions, program code, or data. Memory 404 can be located within or outside of sensing device determination apparatus 400, without limitation. Processor 401 is configured to execute instructions stored in memory 404 to implement the sensing device determination method provided in the following embodiments of the present disclosure.

[0084] In one example, the processor 401 may include one or more CPUs, for example, CPU0 and CPU1.

[0085] As an implementation manner, the sensing device determining apparatus 400 includes multiple processors.

[0086] As an implementation, the sensing device determining apparatus 400 further includes an output device and an input device. For example, the output device is a display screen, a speaker, and the like, and the input device is a keyboard, a mouse, a microphone, or a joystick, and the like.

[0087] It should be noted that the sensing device determination apparatus 400 can be a desktop computer, a portable computer, a network server, a mobile phone, a tablet computer, a wireless terminal, an embedded device, a chip system, or a device having a similar structure as shown in FIG4 . In addition, the composition structure shown in FIG4 does not constitute a limitation on the various devices in FIG3 and FIG4 . In addition to the components shown in FIG4 , the various devices in FIG3 and FIG4 may include more or fewer components than shown, or combine certain components, or arrange the components differently. In the embodiments of the present disclosure, the chip system can be composed of chips, or it can include chips and other discrete devices.

[0088] In addition, the actions and terms involved in the various embodiments of the present disclosure may refer to each other without limitation. The names of messages or parameter names in messages exchanged between devices in the embodiments of the present disclosure are merely examples, and other names may be used in the detailed implementation without limitation.

[0089] The following describes the perception device determination method provided by the embodiment of the present disclosure in conjunction with the communication system shown in Figure 3. The actions, terms, etc. involved in the various embodiments of the present disclosure can refer to each other without limitation. The message name or parameter name in the message exchanged between the various devices in the embodiment of the present disclosure is only an example, and other names can also be used in the detailed implementation without limitation. The actions involved in the various embodiments of the present disclosure are only an example, and other names can also be used in the detailed implementation, such as: "included in" in the embodiment of the present disclosure can also be replaced by "carried on" or "carried in", etc.

[0090] In order to solve the problems existing in some of the above technologies, the embodiments of the present disclosure propose a method for determining a sensing device, which can achieve continuous sensing of a sensing target. As shown in FIG5 , the method includes: S501.

[0091] S501: A first network device sends first indication information to a second network device among at least one third network device. Correspondingly, the second network device receives the first indication information from the first network device.

[0092] The first network device is a network device that senses the target before the sensing device of the sensing target switches. The at least one third network device is an adjacent network device of the first network device. The second network device is a network device that senses the target after the sensing device of the sensing target switches. The first indication information is used to instruct the second network device to sense the target.

[0093] It can be understood that before the first network device sends the first indication information to the second network device, the first network device can determine the second network device from at least one third network device so that the first network device and the second network device can negotiate so that the second network device can perceive the perception target.

[0094] In one embodiment, the first network device may determine the second network device from at least one third network device by sending second indication information to each of the at least one third network device and receiving third indication information from each third network device. The first network device may determine, as the second network device, a third network device among the at least one third network device whose perception indicator satisfies the perception request. The second indication information is used to request the third network device to perceive the perception indicator of the perception target. The third indication information is used to indicate the perception indicator used by the third network device to perceive the perception target.

[0095] It is understood that the first network device sends the second indication information to each of the at least one third network device, so that each of the third network devices can send its own perception indicator of the perception target to the first network device. Accordingly, each third network device receives the second indication information from the first network device and sends the third indication information to the first network device, so that the first network device can determine the perception indicator of each third network device for the perception target, and further determine the second network device from the at least one third network device.

[0096] In one implementation, in combination with the above embodiment, the implementation process of the above S501 may be: the first network device may determine at least one adjacent network device of the first network device according to the network planning, and obtain the location information and perception index of each adjacent network device in the above at least one adjacent network device. The first network device determines the predicted mobile position of the perception target, and determines the distance between the predicted mobile position of the perception target and each adjacent network device. The first network device determines the adjacent network device whose distance to the predicted mobile position of the perception target is less than or equal to a first preset threshold as a third network device, and obtains the perception index of the above third network device for perceiving the perception target. When the perception index of the above third network device meets the perception request, the first network device determines the third network device as the second network device. The first network device sends the first indication information to the above second network device. Accordingly, the second network device receives the first indication information from the first network device.

[0097] It can be understood that when the distance between the third network device and the predicted mobile position of the perception target is less than or equal to the first preset threshold, the first network device can determine that the predicted mobile position of the perception target is included in the coverage range of the third network device, that is, the third network device may be able to perceive the perception target. Therefore, the first network device can obtain the perception indicator of the third network device's perception of the perception target, and then determine whether the third network device is the second network device.

[0098] It should be noted that if the distance between the third network device and the predicted moving position of the perception target is greater than a first preset threshold, the first network device determines that the predicted moving position of the perception target may not be included in the coverage range of the third network device. In this case, the first network device may not obtain the perception indicator of the perception target from the third network device and determine that the third network device cannot perceive the perception target, thereby saving transmission resources.

[0099] It should be understood that since the network planning can include information of multiple network devices (for example, ID and location information), the first network device can not only determine the information of at least one adjacent network device of the first network device and each adjacent network device in the at least one adjacent network device according to the network planning, but can also obtain information of other network devices (for example, network devices that are not adjacent to the first network device) and other network devices. Therefore, the first network device can also determine the second network device from other network devices.

[0100] As an example, the first network device may set the first preset threshold based on the network device's coverage range or experience. For example, the first network device sets the first preset threshold to 55 meters. The above is only an exemplary description of the first preset threshold. The first preset threshold may also be other values ​​(e.g., 200 meters), and this disclosure does not impose any limitations on this.

[0101] In one example, the network device sends the location information of the network device to the first network device. Correspondingly, the first network device receives the location information sent by the network device.

[0102] In another example, the first network device may also query the location information of each of the above network devices based on network planning.

[0103] The following is a detailed introduction to the content of the above perception request message.

[0104] In one embodiment, the perception request message includes a perception indicator parameter; the perception indicator parameter includes at least one of the following: moving speed, moving direction, moving distance, or QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, moving speed accuracy and / or resolution information, moving direction accuracy and / or resolution information, moving distance accuracy and / or resolution information, or perception latency. The above is only an exemplary description of the perception request message. The above perception request message may also include other perception request messages, and this disclosure does not impose any limitations on this.

[0105] It should be noted that, since accuracy refers to the difference between a sensor's measured value and the true value, the accuracy in the aforementioned QoS parameters can be used to characterize the measurement error during a network device's perception of a target. Since resolution refers to the minimum value a sensor can read—that is, the magnitude of the change in the measured value required to trigger a sensor response—the resolution information in the aforementioned QoS parameters can also be used to characterize the minimum value of a perception indicator parameter that a network device can perceive during its perception of a target.

[0106] It can be understood that the first network device uses the perception indicator parameter as the perception request, which can ensure that the network device whose perception indicator meets the perception request can perceive the perception target and meet the perception requirements under the perception scenario, and thus obtain the perception information of the perception target that meets the perception request.

[0107] In one implementation, the first network device may determine whether a perception indicator of the perception target perceived by the third network device satisfies a perception request, and determine that the third network device whose perception indicator satisfies the perception request is the second network device. The first network device determines that the third network device whose perception indicator does not satisfy the perception request is not the second network device.

[0108] The following describes in detail the implementation process of the first network device determining whether the perception indicator of the third network device perceiving the perception target meets the perception request.

[0109] In one implementation, the implementation process of the first network device determining whether the perception indicators of the third network device perceiving the perception target meet the perception request can be: the first network device can obtain the perception indicator parameters required in the perception scenario (for example, resolution information of moving speed, resolution information of moving direction, resolution information of moving distance, and QoS accuracy), as well as the resolution information of moving speed, resolution information of moving direction, resolution information of moving distance, and QoS accuracy that the third network device can perceive, and when the resolution information of moving speed, resolution information of moving direction, resolution information of moving distance, and QoS accuracy that the above-mentioned third network device can perceive all meet the perception accuracy required in the above-mentioned perception scenario, it is determined that the perception indicators of the third network device perceiving the perception target meet the perception request.

[0110] In another implementation, the process by which the first network device determines whether the perception indicator of the third network device perceiving the perception target satisfies the perception request may also be as follows: the first network device may obtain parameters that the third network device can support for perception, as well as parameters that need to be perceived in a perception scenario (e.g., movement speed and movement direction), and, if the above-mentioned parameters that can support for perception include the parameters that need to be perceived in the above-mentioned perception scenario, determine the perception accuracy with which the third network device perceives the parameters that need to be perceived in the above-mentioned perception scenario. The first network device obtains the perception accuracy required in the perception scenario, and, if the perception accuracy of the above-mentioned third network device satisfies the perception accuracy required in the above-mentioned perception scenario, determines that the perception indicator of the third network device perceiving the perception target satisfies the perception request.

[0111] In another implementation, the first network device determines whether the perception indicators of the third network device for perceiving the perception target meet the perception request by: the first network device may obtain the service types that the third network device can support, and the service types that need to be perceived in the perception scenario, and, if the supportable service types are the same as the service types that need to be perceived in the perception scenario, obtain the parameters that the third network device can support for perception, the perception accuracy of the third network device for perceiving the supportable parameters, the parameters that need to be perceived in the perception scenario, and the required perception accuracy in the perception scenario. If the above-mentioned parameters that can support perception include the parameters that need to be perceived in the above-mentioned perception scenario, and the perception accuracy meets the required perception accuracy in the above-mentioned perception scenario, the first network device determines that the perception indicators of the third network device for perceiving the perception target meet the perception request.

[0112] In another implementation, the above is only an exemplary description of the implementation process of the first network device determining whether the perception indicators of the third network device perceiving the perception target meet the perception request. The implementation process of the above first network device determining whether the perception indicators of the third network device perceiving the perception target meet the perception request can also be other implementation processes, and the present disclosure does not impose any restrictions on this.

[0113] It should be noted that, when there are multiple third network devices whose perception indicators meet the perception request, the first network device can compare the perception indicators of each of the multiple third network devices, and determine that the third network device whose perception indicators are more similar to the perception indicators of actual requirements is the second network device.

[0114] As an implementation method, the implementation process of the first network device determining the second network device from multiple third network devices that meet the perception request can be: the first network device can obtain the perception accuracy of each third network device among the above-mentioned multiple third network devices that meet the perception request, and compare the above-mentioned perception accuracies to determine that the third network device whose perception accuracy is closest to the accuracy in the above-mentioned perception request is the second network device.

[0115] As another implementation method, the implementation process of the first network device determining the second network device from multiple third network devices that meet the perception request can also be: the first network device can obtain the perception parameters supported by each third network device among the above-mentioned multiple third network devices that meet the perception request, and compare the perception parameters supported by each third network device, and determine the third network device whose supported perception parameters are most similar to the perception indicator parameters in the above-mentioned perception request as the second network device.

[0116] As another implementation method, the implementation process of the first network device determining the second network device from multiple third network devices that meet the perception request can also be: the first network device can obtain the distance between each third network device in the above-mentioned multiple perception requests and the predicted moving position of the perception target, and compare the distance between each third network device and the predicted moving position of the perception target, and determine that the third network device with the shortest distance is the second network device.

[0117] As another implementation method, the implementation process of the first network device determining the second network device from multiple third network devices that meet the perception request can also be: the first network device can determine the power consumption of each third network device among the above-mentioned multiple third network devices that meet the perception request in the process of perceiving the perception target within a preset time period, and determine the third network device with the lowest power consumption as the second network device.

[0118] It is understandable that the first network device determines the third network device with the lowest power consumption among the third network devices that meet the perception request as the second network device, which can save the power consumption of the second network device in perceiving the perception target, thereby saving electricity costs.

[0119] As another implementation method, the implementation process of the first network device determining the second network device from multiple third network devices that meet the perception request can also be: the first network device can determine the distance between each third network device among the above-mentioned multiple third network devices that meet the perception request and the first network device, and compare the distances between the above-mentioned each third network device and the first network device, and determine that the third network device with the closest distance is the second network device.

[0120] It can be understood that the first network device determines the third network device that is closest to the first network device among the third network devices that meet the perception request as the second network device, which can reduce the path loss during the information interaction between the first network device and the second network device.

[0121] It should be noted that the implementation process of the first network device determining the second network device from the third network device whose multiple perception indicators meet the perception request as recorded above can be combined at will, and this disclosure does not impose any restrictions on this.

[0122] In one implementation, when the perception indicators of the above-mentioned third network device for perceiving the perception target do not meet the perception request, the first network device can compare the perception indicators of the third network device whose perception indicators do not meet the perception request, and determine that the third network device with relatively better perception indicators is the second network device.

[0123] As an implementation method, the first network device compares the perception indicators of the third network device whose perception indicators do not meet the perception request, and determines that the implementation process of the second network device can be understood by referring to the description of the above corresponding position (that is, the first network device determines the implementation process of the second network device from the third network device whose multiple perception indicators meet the perception request), which will not be repeated here.

[0124] It can be understood that the third network device is a network device that can perceive the perception target, which can ensure that the distance between the third network device and the predicted moving position of the perception target is relatively close, so that the third network device can perceive the perception target, and the second network device is a network device in which the perception indicators of the third network device meet the perception request, which can ensure that the second network device can not only perceive the perception target, but also meet the perception request in the process of perceiving the perception target, and then the second network device can realize perception of the perception target, so as to achieve continuous perception of the perception target.

[0125] In one embodiment, the implementation process of the first network device determining the third network device may be: when the distance between the predicted mobile position of the perception target and the network device is less than or equal to a first preset threshold, the first network device determines the network device as a third network device among the at least one third network device.

[0126] In some implementations, the implementation process of the first network device determining the third network device may be: the first network device may determine the distance between the network device and the perceived target based on the predicted mobile position of the perceived target, and then determine whether the perceived target is within the coverage range of the network device, and if the perceived target is within the coverage range of the network device, determine that the network device is the third network device.

[0127] In one implementation, the first network device may determine the third network device by: determining a predicted mobile location of a perceived target and location information of the network device, and determining a distance between the perceived target and the network device based on a distance formula. If the distance between the perceived target and the network device is less than or equal to a first preset threshold, the first network device may determine that the at least one network device is one of the third network devices.

[0128] Exemplarily, the predicted mobile position of the perceived target and the location information of the network device may include longitude, latitude, and altitude information. The above is merely an exemplary description of the predicted mobile position of the perceived target and the location information of the network device. The predicted mobile position of the perceived target and the location information of the network device may also include other information, and this disclosure does not impose any limitations on this.

[0129] In another implementation, the first network device may determine the third network device as follows: the first network device determines the predicted mobile position of the perceived target and the coverage range of the network device, and based on the predicted mobile position of the perceived target and the coverage range of the network device, determines whether the predicted mobile position of the perceived target is within the coverage range of the network device. If the predicted mobile position of the perceived target is within the coverage range of the network device, the first network device determines that the network device is the third network device. Correspondingly, if the predicted mobile position of the perceived target is not within the coverage range of the network device, the first network device determines that the network device is not the third network device.

[0130] It should be noted that when the predicted mobile position of the perception target is within the coverage range of the network device, the first network device can determine that the distance between the perception target and the network device is less than or equal to the first preset threshold. Therefore, the first network device determines that the network device can perceive the perception target, and then can select a network device to perceive the perception target.

[0131] It can be understood that when the distance between the predicted mobile position of the perception target and the network device is greater than the first preset threshold, the distance between the perception target and the network device is large, and thus the network device's perception of the perception target may be poor, or the network device may be unable to perceive the perception target. Therefore, the first network device determines that the network device is not the third network device.

[0132] In one embodiment, the first network device may determine the predicted moving position of the perception target by monitoring the perception target, obtaining perception information of the perception target, and determining the predicted moving position of the perception target based on the perception information. The perception information includes an initial position, a moving speed, and a moving direction.

[0133] In an example, the initial position may be the initial position of the perception target obtained during the process of the first network device perceiving the perception target.

[0134] In one implementation, the process of determining the predicted moving position of the perception target by the first network device may be as follows: the first network device monitors the perception target and determines the initial position, moving speed, and possible moving direction of the perception target at the current moment. Based on the moving speed of the perception target at the current moment, the first network device determines the distance that the perception target may move in the above-mentioned possible moving direction within a preset time period. The first network device determines at least one predicted position where the perception target may appear at the preset moment based on the initial position of the perception target and the distance that the perception target may move in the above-mentioned possible moving direction within the target time period. The first network device determines each of the above-mentioned at least one predicted position as the predicted moving position of the perception target.

[0135] In another implementation, the first network device may determine the predicted movement position of the perceived target as follows: the first network device determines the possible movement directions of the perceived target within a preset time period and the initial position of the perceived target at the current moment, and based on the possible movement directions of the perceived target within the preset time period and the initial position of the perceived target at the current moment, determines a predicted movement trajectory of the perceived target with the position of the perceived target at the current moment as a starting point. Based on the movement speed of the perceived target, the first network device determines the distance traveled by the perceived target along the predicted movement trajectory within the preset time period, and determines the position of the perceived target on the predicted movement trajectory at the preset moment. The first network device determines the position of the perceived target on the predicted movement trajectory at the preset moment as the predicted movement position of the perceived target.

[0136] In one example, the preset time may be a time after the current time, and the time period between the current time and the preset time may be the preset time period. The preset time period may be 10 minutes. The above is only an exemplary description of the preset time period, and the preset time period may also be other time periods (for example, 20 minutes), and this disclosure does not impose any limitation on this.

[0137] It should be noted that the above is only an exemplary description of the implementation process of the first network device determining the predicted mobile position of the perception target. The implementation process of the above first network device determining the predicted mobile position of the perception target may also include other implementation processes, and the present disclosure does not impose any restrictions on this.

[0138] The first indication information in the embodiment of the present disclosure is described below.

[0139] In one example, the first indication information may be sensing coordination confirmation information sent by the first network device to the second network device. As shown in Table 1 below, Table 1 describes at least one of an information element / group name (IE / group name), presence, range, or IE type and reference. The sensing coordination confirmation information may include: message type, source cell global ID, target cell global ID, velocity, angle, and distance.

[0140] Table 1

[0141] It should be noted that M stands for mandatory and can be used to indicate a required option. Velocity, Angle, and Distance can be used to indicate the parameters that the second network device needs to perceive when perceiving the target. The Source Cell Global ID can be used to indicate the ID of the first network device. The Target Cell Global ID can be used to indicate the ID of the second network device.

[0142] In one example, the first indication information may also include perception index parameters (for example, speed, angle, or distance) required in the process of perceiving the perception target. The above is only an exemplary description of the first indication information. The first indication information may also include other information, and the present disclosure does not impose any restrictions on this.

[0143] In one embodiment, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0144] In one implementation, after the second network device receives the first indication information from the first network device, the second network device may determine, as a target time, a predicted time at which the perception target will arrive within the coverage area of ​​the second network device based on the current position, movement speed, and movement direction of the perception target carried in the first indication information. The second network device may request the perception network element to send, to the second network device, configuration resources required for perceiving the perception target at the target time.

[0145] In one embodiment, the second network device sends fourth indication information to the perception network element. Accordingly, the perception network element receives the fourth indication information from the second network device and sends configuration resources to the second network device. The second network device receives the configuration resources from the perception network element. The fourth indication information is used to request the perception network element to send the configuration resources required for perceiving the perception target to the second network device at a target time.

[0146] In one implementation, the second network device may determine the target time by: the second network device determines the distance between the perceived target and the second network device in the moving direction at the current time, and determines the target time period as a ratio of the distance to the moving speed. The second network device determines the target time period based on the current time and the target time period. For example, the second network device determines the time period between the target time and the current time as the target time period.

[0147] It can be understood that the second network device requests the perception network element to send the configuration resources required for perceiving the perception target to the second network device at the target time. This can not only avoid the problem of the perception network element sending the configuration resources too early, resulting in idle resources, but also avoid the problem of the perception network element sending the configuration resources too late, resulting in the second network device not having the resources to perceive the perception target, thereby avoiding the problem of the second network device being unable to perceive the perception target.

[0148] In one implementation, the second network device may further determine a time to request resources from the perception network element based on the predicted time. At the time of requesting resources from the perception network element, the second network device sends fourth instruction information to the perception network element, so that the perception network element configures resources for the second network device.

[0149] In one example, the implementation process of the second network device determining the time to request resources from the perception network element based on the predicted time can be: the second network device can determine the information transmission time in the process of the second network device requesting resources from the perception network element based on experience, and determine the difference between the predicted time and the information transmission time as the time to request resources from the perception network element.

[0150] Exemplarily, the second network device may determine the time required from sending the fourth indication information to the perception network element to receiving the configuration resources from the perception network element as the above-mentioned information transmission time. The above is only an exemplary description of the information transmission time. The above-mentioned information transmission time may also be other times, and this disclosure does not impose any restrictions on this.

[0151] In one example, the fourth indication information sent by the second network device to the perception network element may include Message Type, Source Cell Global ID, SF UE identification number (identity document, ID), perception parameters, and perception node type. The perception parameters may include one or more of Velocity, Angle, and Distance. The perception node type may include a receiving (receive, Rx) node and a transmitting (transport, Tx) node. The above is only an example of the fourth indication information. The above fourth indication information may also include other information (for example, target time), and the present disclosure does not impose any restrictions on this.

[0152] In one implementation, after receiving the fourth indication information, the perception network element may send, to the second network device, configuration resources required for the second network device to perceive the perception target.

[0153] In one example, the configuration resources required for the second network device to perceive the perception target may include a Message Type, a Source Cell Global ID, an SF UE ID, and a selected perception reference signal type. The selected perception reference signal type may be a positioning reference signal (PRS) or a sounding reference signal (SRS). The above is only an example of a configuration resource, and the above configuration resource may also include other information, and the present disclosure does not impose any limitation on this.

[0154] It should be noted that, when the second network device is a receiving node, the type of the selected perception reference signal may be a PRS. When the second network device is a sending node, the type of the selected perception reference signal may be an SRS.

[0155] It can be understood that the second network device requests the resources required for perceiving the perception target from the perception network element (i.e., the second network device sends the fourth indication information to the perception network element), and receives the configuration resources required for perceiving the perception target from the perception network element. In this way, the second network device can use the resources required for perceiving the perception target to realize the perception function and perception of the perception target, thereby ensuring continuous perception of the perception target.

[0156] In one implementation, after the second network device receives the configuration resources required for perceiving the perception target, the implementation process of the second network device perceiving the perception target may be: the second network device sends a perception signal, and after being scattered by the environment or the perception target, the second network device, or the first network device and the second network device, receives an echo signal corresponding to the perception signal.

[0157] It can be understood that the first indication information sent by the first network device to the second network device is also used to instruct the second network device to request the configuration resources required for perceiving the perception target from the perception network element, so that the second network device requests the resources required for perceiving the perception target from the perception network element, and further enables the second network device to obtain the resources required for perceiving the perception target to realize perception of the perception target.

[0158] The second indication information in the embodiment of the present disclosure is described below.

[0159] In one example, the second indication information may be a sensing coordination request (Sensing Coordination Request) sent by the first network device to the third network device. As shown in Table 2 below, Table 2 describes at least one of the IE / group name, Presence, Range, or IE type and reference of the Sensing Coordination Request. The Sensing Coordination Request may include: Message Type, Source Cell Global ID, Target Cell Global ID, Relative Geodetic Location, Velocity, Angle, and Quality of Service (QoS) parameters.

[0160] In conjunction with the above example, the Relative Geodetic Location may include at least one of the following: height units, delta latitude, delta longitude, or delta height. The above is only an exemplary description of the Relative Geodetic Location. The above Relative Geodetic Location may also include other positioning, and this disclosure does not impose any limitations on this.

[0161] The enumerated type (ENUMERATED) of Height Units may include at least one of the following: millimeter (mm), centimeter (cm), or meter (m). The above is only an exemplary description of the ENUMERATED of Height Units. The ENUMERATED of Height Units may also include other types, and this disclosure does not impose any limitation on this.

[0162] The values ​​of Delta Latitude, Delta Longitude, and Delta Height can be integers between -1024 and 1023. The above is only an exemplary description of the values ​​of Delta Latitude, Delta Longitude, and Delta Height. The values ​​of Delta Latitude, Delta Longitude, and Delta Height can also be other values, and this disclosure does not impose any limitation on this.

[0163] QoS parameters may include at least one of the following: positioning estimate accuracy, velocity estimate accuracy, sensing resolution, range resolution, velocity resolution, or maximum sensing service latency. The above is only an exemplary description of QoS parameters. The above QoS parameters may also include other parameters, and this disclosure does not impose any limitations on this.

[0164] Table 2

[0165] It should be noted that Angle can be used to indicate direction. M stands for mandatory and can be used to indicate a required option.

[0166] As an implementation method, the second indication information sent by the above-mentioned first network device to the third network device may also include the position of the perceived target at the current moment, the moving speed of the perceived target at the current moment, the moving direction of the perceived target at the current moment, and the perception parameters that can be met at present.

[0167] It can be understood that when the third network device can act as the second network device to perceive the perception target, the third network device can determine the predicted movement trajectory of the perception target based on the position of the perception target at the current moment, the moving speed of the perception target at the current moment, and the moving direction of the perception target at the current moment, so that the third network device can subsequently determine the perception index of the third network device for perceiving the perception target based on the above-mentioned predicted movement trajectory and the big data analysis model.

[0168] The third indication information in the embodiment of the present disclosure is described below.

[0169] In one implementation, the third network device determines its own perception index for perceiving the perception target and sends third indication information to the first network device. Accordingly, the first network device receives the third indication information from the third network device.

[0170] In one example, the third indication information may be a sensing negotiation response (Sensing Coordination Response) sent by the third network device to the first network device. As shown in Table 3 below, Table 3 describes at least one of the IE / group name, Presence, Range, and IE type and reference of the Sensing Coordination Request. The above-mentioned Sensing Coordination Response may include: Message Type, Source Cell Global ID, Target Cell Global ID, Velocity, Angle, Distance, and QoS parameters. QoS parameters may include at least one of the following: Accuracy of velocity estimate, Sensing resolution, Range resolution, Velocity resolution, or Max sensing service latency. The above is only an exemplary description of QoS parameters, and the above-mentioned QoS parameters may also include others, and the present disclosure does not impose any restrictions on this.

[0171] Table 3

[0172] In one implementation, the first network device may receive third indication information from the third network device, and determine whether a perception indicator of the third network device perceiving the perception target satisfies the perception request.

[0173] In the method for determining a sensing device provided by an embodiment of the present disclosure, a first network device sends first indication information to a second network device among at least one third network device, so that the second network device senses a sensing target. In this way, when the first network device is unable to sense the sensing target, or when the first network device's perception of the sensing target is poor, the sensing device that senses the sensing target can be switched to the second network device, thereby avoiding the problem of the sensing target being unable to be sensed normally. Since the second network device is the network device that senses the sensing target after the sensing device of the sensing target is switched, the second network device can continue to sense the sensing target to achieve continuous perception of the sensing target.

[0174] In one embodiment, before the first network device sends the first indication information to the second network device, the second network device may determine the perception indicator of the second network device perceiving the perception target, and send the perception indicator of the second network device perceiving the perception target to the first network device, so that the first network device can determine whether the second network device perceives the perception target based on the perception indicator of the second network device perceiving the perception target. Based on the method embodiment shown in Figure 5, this embodiment provides an implementation method. In combination with Figure 5, as shown in Figure 6, the implementation process of the second network device determining the perception indicator of the second network device perceiving the perception target can be determined by the following S601 to S602.

[0175] S601: The second network device obtains predicted trajectory information and a big data analysis model of a perceived target.

[0176] Big data analysis models are used to determine perception indicators for perceiving perception targets.

[0177] In one implementation, the implementation process of the above S601 can be: the second network device obtains the position, moving speed, and moving direction of the perceived target at the current moment, and determines the predicted trajectory information of the perceived target based on the position, moving speed, and moving direction of the perceived target at the current moment.

[0178] In one example, the predicted trajectory information may include a predicted movement trajectory and a predicted movement position. The above is only an exemplary description of the predicted trajectory information. The predicted trajectory information may also include other information, and the present disclosure does not impose any limitation on this.

[0179] S602: The second network device inputs the predicted trajectory information into a big data analysis model to obtain a perception index of the second network device for perceiving the perception target.

[0180] As an implementation method, the implementation process of the above S602 can be: the second network device inputs the predicted trajectory information of the above-mentioned perception target into the big data analysis model to obtain the perception index parameters and perception accuracy that the second network device can detect in the above-mentioned predicted moving trajectory.

[0181] In one embodiment, the second network device senses the perception target, determines actual trajectory information of the perception target and actual perception indicators of the second network device, and updates the big data analysis model based on the actual trajectory information and the actual perception indicators.

[0182] As an implementation method, a first network device determines that a second network device is sensing a perceived target, thereby obtaining the perceived target's actual trajectory. The second network device may compare the actual trajectory with the predicted trajectory to obtain the second network device's perception indicator parameters and perception accuracy for the perceived target's actual trajectory. The second network device uses the perceived target's actual trajectory, the perception indicator parameters, and the perception accuracy for the actual trajectory as updated sample data to update the big data analysis model, thereby obtaining an updated big data analysis model.

[0183] It can be understood that the second network device updates the big data analysis model based on the actual movement trajectory of the perception target and the perception index parameters and perception accuracy on the corresponding actual movement trajectory. The use of updated sample data can improve the accuracy and performance of the big data analysis model, thereby helping the big data analysis model to better understand the patterns and changes in the captured input data (for example, the predicted movement trajectory of the perception target), thereby making the data obtained by the second network device using the updated big data analysis model (for example, the perception index parameters and perception accuracy that the second network device can detect in the predicted movement trajectory of the perception target) more accurate.

[0184] It should be noted that the above-mentioned third network device determines the perception index of the third network device to perceive the perception target, which can also be understood by referring to the implementation process (S601 to S602) of the above-mentioned second network device determining the perception index of the second network device to perceive the perception target.

[0185] In the perception device determination method provided in the embodiment of the present disclosure, the big data analysis model is based on artificial intelligence technology to establish a strong correlation between the movement trajectory of the perception target and the perception index (i.e., the detectable perception index parameter) of the network device perceiving the perception target in the above-mentioned movement trajectory. Therefore, the second network device inputs the predicted movement trajectory of the above-mentioned perception target into the big data analysis model, and can obtain a more accurate perception index of the second network device perceiving the perception target, thereby enabling the first network device to determine the network device that perceives the perception target.

[0186] It is understandable that the above-mentioned perception device determination method can be implemented by a perception device determination device. In order to realize the above-mentioned functions, the perception device determination device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the modules and algorithm steps of each example described in the embodiments disclosed herein, the embodiments disclosed in this disclosure can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in a hardware or computer software driven hardware manner depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the embodiments disclosed in this disclosure.

[0187] The embodiments disclosed herein can divide the functional modules of the sensing device determination device generated by the above-mentioned method example. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware or in the form of software functional modules. It should be noted that the division of modules in the embodiments disclosed herein is schematic and is only a logical functional division. There may be other division methods in actual implementation.

[0188] FIG7 is a schematic diagram of a sensing device determination apparatus according to some embodiments. As shown in FIG7 , the sensing device determination apparatus 70 can be used to execute the sensing device determination method shown in FIG5-6 . The sensing device determination apparatus 70 includes: a communication unit 701 and a processing unit 702 .

[0189] The sensing device determining means 70 may be used to illustrate the structures of the first network device and the second network device in the above embodiments.

[0190] When Figure 7 is used to illustrate the structure of the first network device in the above embodiment: the processing unit 702 is used to instruct the communication unit 701 to send a first indication message to the second network device in at least one third network device; the at least one third network device is an adjacent network device of the first network device, and the second network device is a network device that perceives the perception target after the perception device of the perception target is switched, and the first indication information is used to instruct the second network device to perceive the perception target.

[0191] In one implementation, the processing unit 702 is further used to instruct the communication unit 701 to send second indication information to each third network device in at least one third network device; the second indication information is used to request the third network device to perceive the perception target; the processing unit 702 is further used to instruct the communication unit 701 to receive third indication information from each third network device; the third indication information is used to indicate the perception indicator of each third network device to perceive the perception target; the processing unit 702 is further used to determine the third network device in at least one third network device whose perception indicator meets the perception request as the second network device.

[0192] In one implementation, when the distance between the predicted mobile position of the perception target and the network device is less than or equal to a first preset threshold, the processing unit 702 is further configured to determine the network device as a third network device among the at least one third network device.

[0193] In one implementation, the perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of moving speed, accuracy and / or resolution information of moving direction, accuracy and / or resolution information of moving distance, or perception delay.

[0194] In one implementation, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0195] In one implementation, the processing unit 702 is further used to monitor the perception target and obtain perception information of the perception target; the perception information includes an initial position, a moving speed, and a moving direction; the processing unit 702 is further used to determine the predicted moving position of the perception target based on the perception information.

[0196] When Figure 7 is used to illustrate the structure of the second network device in the above embodiment: the processing unit 702 is used to instruct the communication unit 701 to receive the first indication information from the first network device; the first network device is a network device that perceives the perception target before the perception device of the perception target is switched, and the second network device is a network device that perceives the perception target after the perception device of the perception target is switched, and the first indication information is used to instruct the second network device to perceive the perception target.

[0197] In one implementation, the processing unit 702 is further used to instruct the communication unit 701 to receive second indication information from the first network device; the second indication information is used to request the second network device to perceive the perception indicators of the perception target; the processing unit 702 is further used to instruct the communication unit 701 to send third indication information to the first network device; the third indication information is used to indicate the perception indicators of the second network device to perceive the perception target.

[0198] In one implementation, the perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of moving speed, accuracy and / or resolution information of moving direction, accuracy and / or resolution information of moving distance, or perception delay.

[0199] In one implementation, the first indication information is further used to instruct the second network device to request the perception network element for configuration resources required to perceive the perception target.

[0200] In one implementation, the processing unit 702 is also used to instruct the communication unit 701 to send a fourth indication message to the perception network element, and the fourth indication message is used to request the perception network element to send the configuration resources required for perceiving the perception target to the second network device at the target time; the processing unit 702 is also used to instruct the communication unit 701 to receive the configuration resources from the perception network element.

[0201] In one implementation, the communication unit 701 is further used to obtain predicted trajectory information and a big data analysis model of the perception target; the big data analysis model is used to determine perception indicators for perceiving the perception target; and the processing unit 702 is further used to input the predicted trajectory information into the big data analysis model to obtain perception indicators for perceiving the perception target by the second network device.

[0202] In one implementation, the processing unit 702 is further used to perceive the perception target, determine the actual trajectory information of the perception target and the actual perception index of the second network device; the processing unit 702 is further used to update the big data analysis model based on the actual trajectory information and the actual perception index.

[0203] Through the description of the above embodiments, those skilled in the art will clearly understand that for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. The working process of the above-described system, device, and unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0204] The present disclosure also provides a computer-readable storage medium having instructions stored thereon. When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform the sensing device determination method provided in the above-mentioned embodiments of the present disclosure. The computer-readable storage medium includes a non-transitory computer-readable storage medium.

[0205] The embodiments of the present disclosure further provide a computer program product or computer program including instructions, which, when executed on an electronic device, enables the electronic device to execute the perception device determination method provided by the embodiments of the present disclosure.

[0206] Computer-readable storage media may be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More detailed examples of computer-readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a register, a hard disk, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof, or any other form of computer-readable storage medium known in the art. A storage medium is coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium. Of course, the storage medium may also be an integral part of the processor. The processor and the storage medium may be located in an application-specific integrated circuit (ASIC). In the embodiments of the present disclosure, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in connection with an instruction execution system, apparatus, or device.

[0207] The above are only specific embodiments of the present disclosure, but the scope of protection of the present disclosure is not limited thereto. Any changes or replacements within the technical scope disclosed in the present disclosure should be included in the scope of protection of the present disclosure. Therefore, the scope of protection of the present disclosure should be based on the scope of protection of the claims.

Claims

1. A method for determining a sensing device, wherein: The method is performed by a first network device, where the first network device is a network device that senses the sensing target before the sensing device of the sensing target is switched, and the method includes: A first indication message is sent to a second network device among at least one third network device; the at least one third network device is an adjacent network device of the first network device, and the second network device is a network device that perceives the perception target after the perception device of the perception target is switched, and the first indication message is used to instruct the second network device to perceive the perception target.

2. The method according to claim 1, further comprising: Sending second indication information to each third network device of the at least one third network device; The second indication information is used to request each third network device to perceive the perception target; receiving third indication information from each of the third network devices; The third indication information is used to indicate a perception indicator of each third network device to perceive the perception target; Among the at least one third network device, a third network device whose perception indicator satisfies the perception request is determined as the second network device.

3. The method according to claim 2, further comprising: In a case where the distance between the predicted moving position of the perception target and the network device is less than or equal to a first preset threshold, the network device is determined to be one of the at least one third network device.

4. The method according to claim 2 or 3, wherein: The perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of the moving speed, accuracy and / or resolution information of the moving direction, accuracy and / or resolution information of the moving distance, or perception delay.

5. The method according to any one of claims 1 to 3, wherein The first indication information is also used to instruct the second network device to request the perception network element to configure resources required to perceive the perception target.

6. The method according to claim 3, further comprising: monitoring the sensing target to obtain sensing information of the sensing target; The perception information includes initial position, moving speed, and moving direction; Based on the perception information, a predicted moving position of the perception target is determined.

7. A method for determining a sensing device, wherein: The method is performed by a second network device, and the method further includes: Receive first indication information from a first network device; the first network device is a network device that perceives the perception target before the perception device of the perception target is switched, and the second network device is a network device that perceives the perception target after the perception device of the perception target is switched, and the first indication information is used to instruct the second network device to perceive the perception target.

8. The method according to claim 7, further comprising: receiving second indication information from the first network device; The second indication information is used to request the second network device to perceive the perception target; Send third indication information to the first network device; the third indication information is used to indicate the perception index of the second network device to perceive the perception target.

9. The method according to claim 8, wherein The perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of the moving speed, accuracy and / or resolution information of the moving direction, accuracy and / or resolution information of the moving distance, or perception delay.

10. The method according to claim 7 or 8, wherein The first indication information is also used to instruct the second network device to request the perception network element to configure resources required to perceive the perception target.

11. The method according to claim 10, further comprising: Sending fourth indication information to the perception network element, where the fourth indication information is used to request the perception network element to send configuration resources required for perceiving the perception target to the second network device at a target time; Receive configuration resources from the perception network element.

12. The method according to claim 11, further comprising: Obtaining predicted trajectory information and a big data analysis model of the perceived target; The big data analysis model is used to determine the perception index for perceiving the perception target; The predicted trajectory information is input into the big data analysis model to obtain a perception index of the second network device perceiving the perception target.

13. The method according to claim 12, further comprising: sensing the sensing target and determining actual trajectory information of the sensing target and an actual sensing indicator of the second network device; Based on the actual trajectory information and the actual perception indicators, the big data analysis model is updated.

14. A sensing device determining apparatus, wherein: The apparatus is executed by a first network device, which is a network device that senses the sensing target before the sensing device of the sensing target is switched, and the apparatus includes: a communication unit and a processing unit; The processing unit is used to instruct the communication unit to send a first indication message to a second network device in at least one third network device; the at least one third network device is an adjacent network device of the first network device, and the second network device is a network device that perceives the perception target after the perception device of the perception target is switched, and the first indication information is used to instruct the second network device to perceive the perception target.

15. The device according to claim 14, wherein The processing unit is further configured to instruct the communication unit to send second indication information to each of the at least one third network device; the second indication information is used to request each third network device to perform a perception indicator on the perception target; The processing unit is further configured to instruct the communication unit to receive third indication information from each of the third network devices; the third indication information is configured to instruct each of the third network devices to use a perception indicator to perceive the perception target; The processing unit is further configured to determine, among the at least one third network device, a third network device whose perception indicator satisfies the perception request as the second network device.

16. The device according to claim 15, wherein When the distance between the predicted moving position of the perception target and the network device is less than or equal to a first preset threshold, the processing unit is further configured to determine the network device as a third network device among the at least one third network device.

17. The device according to claim 15 or 16, wherein The perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of the moving speed, accuracy and / or resolution information of the moving direction, accuracy and / or resolution information of the moving distance, or perception delay.

18. The device according to any one of claims 14 to 16, wherein: The first indication information is also used to instruct the second network device to request the perception network element to configure resources required to perceive the perception target.

19. The device according to claim 16, wherein The processing unit is further configured to monitor the sensing target and obtain sensing information of the sensing target; the sensing information includes an initial position, a moving speed, and a moving direction; The processing unit is further configured to determine a predicted moving position of the perceived target based on the perceived information.

20. A sensing device determining apparatus, wherein: The apparatus is executed by a second network device, and the apparatus includes: a communication unit and a processing unit; The processing unit is used to instruct the communication unit to receive first indication information from a first network device; the first network device is a network device that perceives the perception target before the perception device of the perception target is switched, and the second network device is a network device that perceives the perception target after the perception device of the perception target is switched, and the first indication information is used to instruct the second network device to perceive the perception target.

21. The device according to claim 20, wherein The processing unit is further configured to instruct the communication unit to receive second indication information from the first network device; the second indication information is used to request the second network device to perform a perception indicator on the perception target; The processing unit is further used to instruct the communication unit to send third indication information to the first network device; the third indication information is used to instruct the second network device to use a perception indicator to perceive the perception target.

22. The device according to claim 21, wherein The perception request message includes perception indicator parameters; the perception indicator parameters include at least one of the following: moving speed, moving direction, moving distance, or service quality QoS parameters; the QoS parameters include at least one of the following: positioning accuracy, accuracy and / or resolution information of the moving speed, accuracy and / or resolution information of the moving direction, accuracy and / or resolution information of the moving distance, or perception delay.

23. The device according to claim 20 or 21, wherein The first indication information is also used to instruct the second network device to request the perception network element to configure resources required to perceive the perception target.

24. The device according to claim 23, wherein The processing unit is further configured to instruct the communication unit to send fourth indication information to the perception network element, where the fourth indication information is used to request the perception network element to send configuration resources required for perceiving the perception target to the second network device at a target time; The processing unit is further configured to instruct the communication unit to receive configuration resources from the perception network element.

25. The apparatus according to claim 24, wherein The communication unit is further configured to obtain the predicted trajectory information of the perception target and a big data analysis model; the big data analysis model is configured to determine a perception index for perceiving the perception target; The processing unit is further configured to input the predicted trajectory information into the big data analysis model to obtain a perception index of the second network device perceiving the perception target.

26. The device according to claim 25, wherein The processing unit is further configured to sense the sensing target and determine actual trajectory information of the sensing target and an actual sensing index of the second network device; The processing unit is further configured to update the big data analysis model based on the actual trajectory information and the actual perception index.

27. A sensing device determining apparatus, comprising: processor and communication interface; The communication interface is coupled to the processor, and the processor is configured to execute a computer program or instruction to implement the perception device determination method according to any one of claims 1-6 or 7-13.

28. A computer-readable storage medium having instructions stored therein, wherein: When a computer executes the instructions, the computer performs the perception device determination method according to any one of claims 1-6 or 7-13.

29. A computer program product comprising instructions, wherein when the instructions are executed on an electronic device, the electronic device executes the sensing device determination method according to any one of claims 1 to 6 or claims 7 to 13.

30. A computer program comprising instructions, wherein when the instructions are executed on an electronic device, the electronic device executes the sensing device determination method according to any one of claims 1 to 6 or claims 7 to 13.

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