A cellular-free sensory integration architecture and implementation method

Abstract

This invention discloses a cellular-free sensing integrated architecture and implementation method. The architecture includes: TRP, EDU, CSDU, and CSCU; wherein each EDU establishes a connection with at least one TRP, each CSDU establishes a connection with at least one EDU, and each CSCU establishes a connection with at least one CSDU; the CSCU is used to parse control plane and user plane data sent from the core network and send it to the CSDU, as well as report the communication data and sensing data of each CSDU to the core network; the CSDU is used to implement protocol layer scheduling functions and related functions of higher-order physical layer and higher-order sensing layer in signal processing; the EDU is used to implement related functions of lower-order physical layer and lower-order sensing layer in signal processing; and the TRP is used to implement the transmission and reception of radio frequency sensing signals and related functions of digital-to-analog / analog-to-digital conversion. This invention achieves the segmentation of sensing functions, and the segmented architecture can be reused to achieve seamless and high-precision sensing, thereby achieving the effect of scalable deployment without cellular coverage.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a cellular-free integrated sensing architecture and its implementation method. Background Technology

[0002] Cellular-free distributed networking is a novel networking approach and a key technology for improving 6G performance. In a cellular-free distributed system, multiple distributed transceiver points (TRPs) collaborate to serve multiple users on the same time-frequency resources. Simultaneously, they can utilize wireless channels to sense environmental information, achieving a mutually beneficial effect of communication-assisted sensing and sensing-assisted communication. Therefore, unlike the existing multi-site sensing integration architecture based on cellular systems, the cellular-free sensing integration architecture has inherent advantages in physical layer signal joint processing. However, it requires additional solutions to the large-scale expansion and sensing capability segmentation issues of the cellular-free sensing integration architecture.

[0003] In terms of perception authorization, traditional user authorization cannot meet the requirements of regional perception authorization. Regarding perception association, user association in non-cellular communication cannot meet the requirements of perception target association. In terms of joint processing of perception signals, multi-site joint processing in cellular systems requires core network coordination, leading to heavy scheduling burdens and large sensing delays. In contrast, multi-point joint processing based on non-cellular systems can coordinate multiple points on the Radio Access Network (RAN) side, meeting the needs of different perception services and capabilities. Therefore, it is necessary to systematically develop a non-cellular integrated sensing system architecture to complete the segmentation of perception functions and achieve scalable deployment in non-cellular systems. Summary of the Invention

[0004] This invention provides a cellular-free integrated sensing architecture and implementation method, which realizes the segmentation of sensing functions and thus achieves the effect of cellular-free scalable deployment.

[0005] According to one aspect of the present invention, a cellular-free integrated sensing architecture is provided, comprising: a transceiver node (TRP), an edge distributed unit (EDU), a sensing distributed unit (CSDU), and a sensing centralized unit (CSCU).

[0006] Each EDU establishes a connection with at least one TRP, each CSDU establishes a connection with at least one EDU, and each CSCU establishes a connection with at least one CSDU.

[0007] The CSCU is used to parse the control plane and user plane data sent by the core network and send it to the CSDU, as well as to report the communication data and sensing data of each CSDU to the core network.

[0008] The CSDU is used to implement protocol layer scheduling functions and related functions of higher-order physical layer and higher-order sensing layer in signal processing;

[0009] The EDU is used to implement the relevant functions of the low-order physical layer and low-order sensing layer in signal processing;

[0010] The TRP is used to realize the functions of transmitting and receiving radio frequency sensing signals and digital-to-analog / analog-to-digital conversion.

[0011] According to another aspect of the present invention, a method for implementing a cellular-free sensing integrated architecture is provided, applicable to the cellular-free sensing integrated architecture as described in any of the above embodiments; the implementation method includes:

[0012] When the CSDU receives a sensing service initiated by the core network forwarded by the CSCU, the CSDU schedules the sensing service, generates a sensing data stream, and uses the higher-order sensing layer in the CSDU to process downlink tasks based on the sensing data stream, and then sends the sensing data stream to the EDU; the lower-order sensing layer in the EDU generates corresponding downlink frequency domain data containing sensing data and communication data based on the sensing data stream, and then sends the downlink frequency domain data to the TRP;

[0013] After the TRP completes signal transmission and reception, the TRP reports uplink frequency domain data to the EDU, and the low-order sensing layer in the EDU processes the uplink task based on the uplink frequency domain data to obtain the sensing channel estimation result, and reports the sensing channel estimation result to the CSDU; the high-order sensing layer in the CSDU processes the uplink task based on the sensing channel estimation result, generates corresponding sensing information, reports the sensing information to the CSCU, and the CSCU reports the sensing information to the core network.

[0014] The technical solution of this invention, by including CSDU, EDU, TRP, and CSCU in a non-cellular integrated sensing architecture, effectively divides the communication function across CSDU, EDU, TRP, and CSCU, achieving a unified distributed and centralized approach and enabling system scalability. Simultaneously, CSDU is used to implement the functions of the higher-order sensing layer, and EDU is used to implement the functions of the lower-order sensing layer, thus realizing the division of sensing functions. Furthermore, the divided architecture can be reused to achieve seamless and high-precision sensing, thereby achieving the effect of scalable deployment without cellular limitations.

[0015] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0017] Figure 1 This is a structural block diagram of a cellular-free integrated sensing architecture provided in an embodiment of the present invention;

[0018] Figure 2 This is a structural block diagram of another cellular-free integrated sensing architecture provided in an embodiment of the present invention;

[0019] Figure 3 This is a structural block diagram of another cellular-free integrated sensing architecture provided by an embodiment of the present invention;

[0020] Figure 4 This is a schematic diagram illustrating a specific functional division of L-SEN and H-SEN provided in an embodiment of the present invention;

[0021] Figure 5 This is a flowchart illustrating an implementation method of a cellular-free integrated sensing architecture provided by an embodiment of the present invention;

[0022] Figure 6 This is a flowchart of another implementation method based on a cellular-free integrated sensing architecture provided by an embodiment of the present invention. Detailed Implementation

[0023] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0024] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0025] In this embodiment of the invention, a peakless sensing-integrated architecture is proposed, and the logical nodes and functional divisions of the architecture are provided. The capabilities of the central unit are enhanced so that the CSCU can handle the interaction between sensing information and the core network. H-SEN is introduced so that the CSDU can handle high-order sensing parameter estimation, and L-SEN is introduced so that the EDU can handle low-order sensing channel estimation. In response to the new licensing requirements of sensing-integrated architecture, licensing schemes for different sensing modes are given. In response to the new sensing association requirements of sensing-integrated architecture, initial association and association update schemes for sensing nodes such as TRP and targets of interest are given.

[0026] This invention proposes a novel sensing-integrated architecture based on a non-cellular architecture. This architecture realizes sensing authorization and sensing association, solving the signal transmission and segmentation problems of distributed multi-point joint processing. It can effectively reduce the amount of data transmitted in the fronthaul and backhaul, and can achieve automatic clustering for sensing targets, thus enhancing sensing performance. Simultaneously, based on the non-cellular architecture, sensing signal segmentation is achieved, realizing the segmentation and standardized processing of communication signals and sensing signals. For different sensing modes, corresponding sensing authorization is implemented, including area authorization and UE authorization, ensuring area privacy and enhancing the sensing performance of targets of interest. The concept of "user" association is expanded, leveraging the on-demand allocation and unlimited scalability capabilities of non-cellular architecture through sensing association.

[0027] In one embodiment, Figure 1 This is a structural block diagram of a cellular-free integrated sensing architecture provided by an embodiment of the present invention. This embodiment is applicable to situations where sensing functions are segmented under a cellular-free integrated sensing architecture. This cellular-free integrated sensing architecture can be implemented in hardware and / or software. Figure 1As shown, the cellular-free sensing integrated architecture includes: transceiver node TRP110, edge distributed unit (EDU)120, communication and sensing distributed unit (CSDU)130, and communication and sensing centralized unit (CSCU)140.

[0028] Each EDU120 establishes a connection with at least one TRP110, each CSDU130 establishes a connection with at least one EDU120, and each CSCU140 establishes a connection with at least one CSDU130.

[0029] CSCU140 is used to parse the control plane and user plane data sent by the core network and send it to CSDU130, as well as to report the communication data and sensing data of each CSDU130 to the core network.

[0030] The CSDU130 is used to implement protocol layer scheduling functions as well as related functions of higher-order physical and higher-order sensing layers in signal processing.

[0031] The EDU120 is used to implement the relevant functions of the low-order physical layer and low-order sensing layer in signal processing;

[0032] The TRP110 is used to implement functions related to the transmission and reception of radio frequency sensing signals and digital-to-analog / analog-to-digital conversion.

[0033] like Figure 1 As shown, in this embodiment, each CSCU140 can directly connect to two CSDU130s, or connect to two CSDU130s through a switch; each CSDU130 can directly connect to two EDU120s, or connect to two EDU120s through a switch; one TRP110 can connect to one or two specific EDU120s; each TRP110 can be configured with multiple antennas and connect to two User Equipment (UE) devices through a wireless channel.

[0034] like Figure 1 As shown, one EDU120 can be connected to multiple CSDU130s, allowing CSDU130s to connect to multiple TRP110s. Furthermore, CSDU130s can share a specific EDU120 for a given time-frequency resource.

[0035] In one example, the functions of the higher-order physical layer may include, but are not limited to, at least one of the following: encoding / decoding, rate matching and de-rate matching, scrambling / descrambling, layer mapping, precoding, and communication channel estimation; the functions of the lower-order physical layer may include, but are not limited to, at least one of the following: resource mapping / de-resource mapping, and digital beamforming.

[0036] In this embodiment, CSCU140 can control communication and sensing functions. Specifically, it can send communication requests to CSDU130 (which has both communication and sensing functions) and sensing requests to CSDU130 (which has both sensing and sensing functions) based on the core network's communication and sensing requests. In this embodiment, CSDU130 can merge uplink sensing data from one or more EDU120s belonging to the same sensing data stream and distribute multiple downlink sensing data streams to the corresponding EDU120s. CSCU140 is used to implement the interaction process with the core network, that is, to report the communication and sensing data from multiple CSDU130s to the core network, and to parse the control plane and user plane data sent by the core network and send it back to CSDU130.

[0037] In this embodiment, the concept of "user-centric" non-cellular networks is further extended to sensing application function requests. In the new non-cellular integrated sensing architecture, CSCU140 and CSDU130 are introduced to handle communication and sensing functions simultaneously.

[0038] The technical solution of this embodiment effectively divides the communication function among CSDU, EDU, TRP and CSCU by including CSDU, EDU, TRP and CSCU in the non-cellular integrated sensing architecture, achieving a unified distributed and centralized approach and enabling system scalability. At the same time, CSDU is used to implement the relevant functions of the higher-order sensing layer, and EDU is used to implement the relevant functions of the lower-order sensing layer, thereby realizing the division of sensing functions. Furthermore, the divided architecture can be reused to achieve seamless and high-precision sensing, thus achieving the effect of scalable deployment without cellular coverage.

[0039] In one embodiment, the CSCU includes a Communication and Sensing-Control Plane (CSCP) and a Communication and Sensing-User Plane (CSUP); the CSCP and CSUP establish a connection through a first type of enhanced interface and perform interaction and coordination of sensing functions;

[0040] The CSCP establishes a connection with the core network through the control plane type 2 enhanced interface. The CSCP is used at least to process perception-related control signaling and to transmit perception-related control signaling to the core network. The CSUP establishes a connection with the core network through the user plane type 2 enhanced interface. The CSUP is used at least to process perception application-related user data and perception data, and to transmit perception application-related user data and perception data to the core network.

[0041] In one example, the first type of enhancement interface can be the extended E1 (eE1) interface; the second type of enhancement interface for the control plane can be the extended Next Generation-Control Plane (eNG-c) interface; and the second type of enhancement interface for the user plane can be the extended Next Generation-User Plane (eNG-u) interface.

[0042] In this embodiment, CS-CP and CS-UP are the control plane and data plane in the CSCU, respectively. CS-CP is used for user processing of control signaling messages, which may include RRC functions for communication and sensing; CS-UP is used for processing user data transmission, including PDCP and RLC functions for UE user data and sensing data. eNG, eF1, and eE1 natively possess communication-related signaling and data interaction functions. The enhanced eNG interface facilitates the interaction of signaling and data between the CSCU and the core network. Specifically, eNG-C adds perception-related control signaling, and eNG-U adds perception application-related data. The enhanced eF1 interface facilitates the interaction of communication signaling and perception signaling, as well as communication data and perception data, between the CSCU and CSDU. eF1-C adds perception application context management and perception RRC message passing functions, while eF1-U adds perception data transmission functions. The enhanced eE1 interface enables interaction and coordination between the CS-CP and CS-UP, adding perception function interaction and coordination. The CS-CP transmits control commands such as perception session management and perception parameter configuration via the eE1 interface, while the CS-UP transmits perception resource usage and perception data statistics via the eE1 interface.

[0043] In one embodiment, the CSDU includes: an extended medium access control plane (eMAC-C), an extended medium access control plane (eMAC-U), a high-level physical layer (H-PHY), and a high-level sensing layer (H-SEN); wherein the extended MAC control plane establishes a connection with the CSCU through a third type of enhanced interface of the control plane, and the extended MAC user plane establishes a connection with the CSCU through a third type of enhanced interface of the user plane;

[0044] Among them, the enhanced MAC control plane is used at least for scheduling and processing sensing control plane messages;

[0045] Enhance the MAC user plane at least for scheduling and processing sensed data;

[0046] After scheduling and processing are completed, CSDU sends communication data and sensing data down to the physical layer and uploads physical layer data to the MAC layer through the higher-order physical layer and higher-order sensing layer. The higher-order sensing layer is used to implement at least one of the following functions: layer mapping, parameter estimation and parameter-level fusion, signal-level fusion and sensing information estimation.

[0047] In one example, the third type of enhanced interface on the control plane can be an Extended F1 Interface-Control Plane (eF1-c) interface; the third type of enhanced interface on the user plane can be an Extended F1 Interface-User Plane (eF1-u) interface. In one example, the CSDU can implement both communication and sensing functions. It can choose to implement only communication functions, only sensing functions, or both, based on device capabilities (referring to the computing power of the physical device embedded in the CSDU, such as the number of cores and CPUs) and collaboration requirements (referring to different collaboration levels and scales, such as parameter level, signal level, and probability level). The CSDU processes sensing data through an enhanced eMAC module. eMAC-C adds the scheduling and processing of sensing data control plane messages, while eMAC-U adds the scheduling and processing of sensing data plane messages. After scheduling, the CSDU uses the H-PHY and H-SEN modules to send communication and sensing data to the physical layer, and to upload physical layer data to the MAC layer. In terms of specific perception algorithm implementation, CSDU can choose to perform only signal-level fusion and output perception information, or it can choose not to perform / partially perform signal-level fusion, then perform parameter estimation, and then perform parameter-level fusion to output perception information; the perception information that CSDU can output includes distance, velocity, spatial coordinates, target category, etc.

[0048] In one embodiment, the EDU includes a low-level physical layer (L-PHY) and a low-level sensing layer (L-SEN); wherein the low-level physical layer establishes a connection with the high-level physical layer; and the low-level sensing layer establishes a connection with the high-level sensing layer.

[0049] The low-order sensing layer is used to implement at least one of the following functions: resource element (RE) resource mapping, RE de-resource mapping, digital beamforming, channel estimation, and parameter estimation.

[0050] In this embodiment, the physical layer sensing function is segmented based on a cellular-free sensing integrated architecture. The sensing function can be divided into L-SEN and H-SEN, implemented in EDU and CSDU respectively. In one example, the sensing function can be divided based on the amount of data interaction between EDU and CSDU, and whether local computation is possible. For example, data that does not depend on other EDUs can be segmented to EDUs, while data that depends on other EDUs can be segmented to CSDUs. L-SEN is used to perform RE resource mapping, RE de-resource mapping, beamforming, and channel estimation, while H-SEN is used to perform layer mapping, signal-level fusion, parameter estimation, and parameter-level fusion. H-SEN's layer mapping mainly refers to the mapping relationship between sensing data and EDUs. H-SEN determines the fusion method based on eMAC layer control information. It can perform signal-level fusion, directly fusing the channel estimation results uploaded by L-SEN using a signal-level fusion algorithm to estimate the sensing information; or it can first estimate parameters such as delay, angle, and Doppler in the channel estimation, then fuse them using a parameter-level fusion algorithm to estimate the sensing information. Specifically, if parameter-level fusion is adopted, the parameter estimation function can be further devolved to L-SEN. The function of L-SEN is similar to that of L-PHY, processing the underlying physical layer data and interacting with TRP. The difference is that L-SEN data flows to H-SEN to complete subsequent sensing functions and calculations.

[0051] In one embodiment, Figure 2 This is a structural block diagram of another cellular-free integrated sensing architecture provided by an embodiment of the present invention. For example... Figure 2 As shown, a new CSDU is added to the new cellular-free sensing integrated access network architecture. Therefore, the new cellular-free sensing integrated access network architecture includes TRP, EDU, CSDU, and CSCU. The CSCU directly connects to the three CSDUs. Each CSDU connects to each EDU through a switch. Each EDU directly connects to the three TRPs. Each TRP communicates with UE1, UE2, UE3, UE6, UE7, and UE8 through a wireless channel, and also senses Scatter1 and Scatter2.

[0052] In one embodiment, Figure 3 This is a structural block diagram of another cellular-free integrated sensing architecture provided by an embodiment of the present invention. For example... Figure 3As shown, the core network includes: Access and Mobility Management Function (AMF), Extended Unified Data Management (eUDM), and Sensing Network Function (SNF). The TRP includes: Remote Radio Unit (RRU) and Active Antenna Unit (AAU), used for transmitting and receiving radio frequency sensing signals, digital-to-analog / analog-to-digital conversion, etc.; EDU is used to perform L-PHY and the newly added L-SEN functions in signal processing; CSDU is used to perform MAC layer scheduling functions, H-PHY and the newly added H-SEN functions, merging uplink sensing data from multiple EDUs belonging to the same sensing stream, and distributing multiple downlink sensing streams to the corresponding EDUs; CSCU mainly handles interaction with the core network, uploading communication data and sensing data from multiple CSDUs to the core network, and parsing and sending control plane and user plane data from the core network to the CSDUs.

[0053] The CSCU controls communication and sensing functions. Based on communication and sensing requests from the core network, it distributes communication requests to CSDUs with both communication and sensing capabilities, and vice versa. CS-CP and CS-UP are the control plane and data plane within the CSCU, respectively. CS-CP handles control signaling messages, primarily including RRC functions for communication and sensing; CS-UP handles user data transmission, including PDCP and RLC functions for UE user data and sensing data. The enhanced eNG interface facilitates signaling interaction between the CSCU and the core network. eNG-C adds perception-related control signaling, while eNG-U adds perception application-related data. The enhanced eF1 interface facilitates communication between the CSCU and CSDU, including perception signaling and data exchange. eF1-C adds perception application context management and perception RRC message passing functions, while eF1-U adds perception data transmission functions. The enhanced eE1 interface enables interaction and coordination between the CS-CP and CS-UP, adding perception function interaction and coordination. CS-CP transmits control commands such as perception session management and perception parameter configuration via the eE1 interface, while CS-UP transmits perception resource usage and perception data statistics via the eE1 interface.

[0054] The CSDU processes sensing data through an enhanced eMAC module. eMAC-C adds scheduling and processing of sensing data control plane messages, while eMAC-U adds scheduling and processing of sensing data plane messages. After scheduling, the CSDU uses the H-PHY and H-SEN modules to send communication and sensing data to the physical layer, and to upload physical layer data to the MAC layer.

[0055] In one embodiment, Figure 4 This is a schematic diagram illustrating a specific functional division of L-SEN and H-SEN according to an embodiment of the present invention. For example... Figure 4 As shown, the sensing function is divided into L-SEN and H-SEN, implemented in EDU and CSDU respectively. L-SEN is used for RE resource mapping, RE de-resource mapping, digital beamforming, and channel estimation, while H-SEN is used for layer mapping, signal-level fusion, sensing information estimation, parameter estimation, and parameter-level fusion. H-SEN's layer mapping mainly refers to the mapping relationship between sensing data and EDU. H-SEN determines the fusion method based on eMAC layer control information. It can perform signal-level fusion, directly fusing the channel estimation results uploaded from L-SEN using a signal-level fusion algorithm to estimate the sensing information; or it can first estimate parameters such as delay, angle, and Doppler in the channel estimation, then fuse them using a parameter-level fusion algorithm to estimate the sensing information.

[0056] In one embodiment, Figure 5 This is a flowchart illustrating an implementation method for a cellular-free integrated sensing architecture provided by an embodiment of the present invention. Figure 5 As shown, the implementation method of this cellular-free integrated sensing architecture includes:

[0057] S110. When the CSDU receives a sensing service initiated by the core network forwarded by the CSCU, it schedules the sensing service through the CSDU and generates a sensing data stream.

[0058] S120. The higher-order perception layer in CSDU is used to process downlink tasks based on the perception data stream, and the perception data stream is sent down to EDU.

[0059] S130. The lower-order sensing layer in the EDU generates corresponding downlink frequency domain data containing sensing data and communication data based on the sensing data stream, and sends the downlink frequency domain data to the TRP.

[0060] In one example, the downlink frequency domain data includes downlink communication data from the base station used to detect the target's sensing signals.

[0061] S140. After the TRP completes signal transmission and reception, the TRP reports uplink frequency domain data to the EDU, and processes the uplink task based on the uplink frequency domain data through the low-order sensing layer in the EDU to obtain the sensing channel estimation result, and reports the sensing channel estimation result to the CSDU.

[0062] In this embodiment, the TRP converts the downlink frequency domain data into radio frequency signals by performing inverse Fourier transform, adding a cyclic prefix, and upconverting. The TRP converts the radio frequency signals received by the device into uplink frequency domain data by performing downconversion, removing the cyclic prefix, and performing Fourier transform.

[0063] In one example, the uplink frequency domain data includes uplink communication data of the user equipment (UE) and sensed signals reflected from the environment and sensed targets.

[0064] S150. The uplink task is processed by the higher-order sensing layer in CSDU based on the sensing channel estimation results, generating the corresponding sensing information and reporting the sensing information to CSCU.

[0065] S160, the sensing information is reported to the core network through CSCU.

[0066] In one embodiment, the implementation method based on the non-cellular sensing integrated architecture further includes: when the core network initiates a sensing service to the CSCU, receiving and parsing a list of sensing authorization information associated with the sensing service through the CSCU;

[0067] The perception authorization information list includes at least one of the following: perception mode field, TRP authorization information list, and UE authorization information list; wherein, the perception mode field is used to characterize the perception mode of the access network RAN; the TRP authorization information list is all TRP information used for perception services; and the UE authorization information list is all UE information used for perception services.

[0068] In this embodiment, the perception authorization is managed and initiated by the core network, and the RAN side completes the corresponding capability response and field parsing by the CSCU. The key feature is that when the core network initiates a perception service request, the RRC receives a list of perception authorization information managed by the eUDM on the core network side. This list includes a perception mode field, a TRP authorization information list, and a UE authorization information list.

[0069] The perception mode field is a numeric index that determines the perception mode on the RAN side. The mapping relationship is shown in Table 1. Among them, TRP-side perception only uses the signal transmission and reception of TRP for perception; TRP-side perception + UE-assisted perception uses both the signal transmission and reception of TRP and the uplink pilot of UE for perception; hybrid perception uses both the signal transmission and reception of TRP and UE for perception; UE-side perception only uses the signal transmission and reception of UE for perception; UE-side perception + TRP-side assisted perception uses both the signal transmission and reception of UE and the downlink pilot of TRP for perception; and other possible perception modes.

[0070] Table 1 Perception Mode Fields

[0071]

[0072]

[0073] The TRP Authorization Information List is a list of all TRPs that can be used for sensing services, and it is managed by eUDM. Due to requirements such as regional control, TRP nodes located in sensitive areas are not allowed to be used for sensing, while TRP nodes located in non-sensitive areas are allowed to be used for sensing. Each TRP has a unique identifier, and the TRP Authorization Information List is managed and updated by eUDM. The TRP Authorization Information List includes the identifiers of all TRPs allowed to be used for sensing and their corresponding location information.

[0074] The UE Authorized Information List is a list of all UE information that can be used for sensing services, and it is managed by the eUDM. Due to requirements such as regional control and user privacy, a UE is allowed to be used for sensing only when it is in a non-sensitive area and the UE agrees to sign up for open location information. Each UE has a unique identifier, and the eUDM manages and updates the UE Authorized Information List. The TRP Authorized Information List includes all UE identifiers allowed for sensing and their corresponding location information.

[0075] In one embodiment, the perception association between the set of TRPs associated with the perception data stream and the perception target is determined by the CSCU; wherein, the perception association includes: initial association and association state update;

[0076] The initial association process includes: when the core network initiates a sensing service, the CSCU generates an initial association node list based on the sensing mode field, the TRP authorization information list, and the UE authorization information list; and clusters all TRPs in the TRP authorization information list according to the initial association node list to assign the transmit and receive states of each TRP, obtaining all TRPs in the downlink transmit state and all TRPs in the uplink receive state, thus obtaining the TRP cluster set associated with the sensing target, and generating a corresponding sensing number for each TRP cluster set;

[0077] The process of updating the associated status includes: when the CSCU receives the sensing information reported by the CSDU, the CSCU generates an associated node distance table based on the actual location of the sensing target and each TRP in the associated node list, and generates a sensing signal-to-noise ratio table based on the historical associated node list; selects multiple TRPs that meet the sensing service requirements based on the associated node distance table and the sensing signal-to-noise ratio table, and updates the associated node list based on the multiple TRPs that meet the sensing service requirements.

[0078] After the CSCU determines the association between the sensing target and the TRP, it associates each TRP with the connected EDU, the EDU with the connected CSDU, and the CSDU with the connected CSCU, based on the network topology.

[0079] In one example, the TRP cluster set refers to the set of TRPs that send sensing data streams to the sensing target and the TRPs that receive sensing data streams reflected from the sensing target. In practice, there can be one or more TRPs that send sensing data streams to the sensing target, and one or more TRPs that receive sensing data streams returned by the sensing target. For example, assuming the sensing target is a drone, the TRP that sends sensing data streams to the drone is TRP1, and the TRPs that receive sensing data streams returned by the drone are TRP2, TRP3, and TRP4. Then the TRP cluster set contains four TRPs: TRP1, TRP2, TRP3, and TRP4.

[0080] In a non-cellular wireless access network, the CSCU determines the transmission TRP and reception TRP associated with the sensing data stream and their association with the sensing target (e.g., a vehicle in vehicle-to-everything (V2X) monitoring; a drone in air surveillance; or a hillside in environmental perception). The sensing association is divided into two parts: initial association and association state update.

[0081] The initial association of perceived targets is actually based on region-based association. Specifically, when the core network initiates a perception task, the CSCU enters the initial association state. The CSCU's RRC first generates an initial association node list based on the perception mode field. If the perception mode field is 0 (TRP-side perception), the initial association node list is the TRP authorized information list. If the perception mode field is 1 (TRP-side perception + UE-assisted perception), the initial association list is the TRP authorized information list. If the perception mode field is 2 (hybrid perception), the initial association list is the entirety of the TRP authorized information list and the UE authorized information list.

[0082] In CSCU, the RRC (Receptor Control Center) clusters all TRP (Transmitter Receiving Point) nodes based on the initial associated node list using a clustering algorithm. It then completes the initial sensing area division and assigns transmit / receive status to all nodes based on the cluster centers and the nodes within those centers. One possible transmit / receive status assignment scheme is to assign the nodes at the cluster centers to downlink transmit status and other nodes in the same cluster to uplink receive status. CSCU's PDCP (PD Component Processing Center) generates a unique sensing number for each cluster based on the clustering results.

[0083] The update of the association status of the perceived target is actually based on the association of the perceived target. In CSCU, RRC first updates the list of associated nodes according to the parsed perception authorization information, then generates a distance table of associated nodes according to the location of the target of interest and the list of associated nodes, and generates a perception signal-to-noise ratio table according to the historical association list. CSCU then selects the top K nodes that meet the requirements of the perception task based on the distance table of associated nodes and the perception signal-to-noise ratio table, and sorts them according to algorithms such as weighted algorithms, to update the association status of the target of interest and the nodes.

[0084] After the CSCU determines that the sensing target is associated with the TRP, it associates the TRP with the connected EDU, the EDU with the connected CSDU, and the CSDU with the connected CSCU according to the deployment topology.

[0085] In one embodiment, the sensing service is scheduled through the CSDU to generate a sensing data stream. A higher-order sensing layer in the CSDU processes downlink tasks based on the sensing data stream and sends the sensing data stream to the EDU. This includes: resolving the TRP authorization information list corresponding to the sensing number and the corresponding TRP's transmit / receive status through the enhanced MAC control plane in the CSDU, and scheduling the transmission priority, transmission frequency, transmission interval, and available bandwidth of the sensing signal based on communication service quality requirements and sensing latency requirements; generating a downlink transmitting sensing data stream through the enhanced MAC user plane in the CSDU based on the sensing number, sensing bandwidth occupied, sensing time occupied, and the number of TRPs in the downlink transmitting state; performing layer mapping on the downlink transmitting sensing data stream through the higher-order sensing layer in the CSDU to correspond the sensing data stream to the number of TRPs in the downlink transmitting state; and sending the sensing data stream to the EDU through the higher-order sensing layer in the CSDU.

[0086] In one embodiment, when the perception mode field in the perception authorization information list has different values, the initial associated node list includes the TRP authorization information list and / or the UE authorization information list;

[0087] When the initial associated node list includes a UE authorization information list, the initial association process further includes: querying the TRP list associated with the user equipment through the CSCU; if there is an intersection between the TRP list and the TRP cluster set, the user equipment is associated with the TRP cluster set. In one example, the perception mode field in the perception authorization information list can have different values, as shown in Table 1. This can be understood as follows: when the initial associated node list includes a TRP authorization information list, the TRP authorization information list in the initial associated node list contains TRP identity identifiers and corresponding TRP location information that can be used for perception; while the UE authorization information list is empty; when the initial associated node list includes both a TRP authorization information list and a UE authorization information list, the TRP authorization information list contains TRP identity identifiers and corresponding TRP location information that can be used for perception, and the UE authorization information list contains UE identity identifiers and corresponding UE location information that can be used for perception; when the initial associated node list includes a UE authorization information list, the TRP authorization information list is empty, and the UE authorization information list contains UE identity identifiers and corresponding UE location information that can be used for perception. If the initial associated node list contains a list of UE authorization information, the CSCU queries the list of TRPs associated with the UE communication. If there is an intersection between the TRP list associated with the UE and the TRP cluster set, the node information of the UE can be associated with the TRP cluster set.

[0088] In one embodiment, when the sensing mode field is a second value, the implementation method based on the cellular-free sensing integrated architecture further includes: searching through the low-level sensing layer in the EDU to see if the user equipment in the associated low-level physical layer exists in the UE authorization information list; if it exists in the UE authorization information list, sending the uplink pilot channel estimation result of the user equipment associated with the sensing number to the CSDU; and performing uplink tasks through the high-level sensing layer in the CSDU using the sensing channel estimation result and the uplink pilot channel estimation result.

[0089] In one embodiment, the sensing process for an integrated sensing architecture includes the following: When the core network initiates a sensing service, the radio access network (RAN) performs sensing signal transmission and reception and resolution after sensing authorization and sensing association. First, the CSCU's RRC parses the sensing authorization information list and completes the initial association. The CSCU's PDCP generates a unique sensing number for each cluster based on the clustering results of the initial association. Then, the CSDU completes scheduling and resource allocation. The key feature is that the eMAC-C schedules the sensing signal transmission priority, transmission frequency, transmission interval, and available bandwidth based on communication QoS requirements and sensing latency requirements. The eMAC-U generates downlink transmission sensing data streams based on the PDCP's sensing number, sensing bandwidth, and time. The H-SEN performs layer mapping on the downlink transmission sensing data streams. Next, the EDU's L-SEN maps each sensing data stream to an RE resource block, completes optional transmit beamforming, and sends downlink frequency domain data to the TRP for transmission. After receiving the sensing signal, the TRP first reports it to the EDU. The EDU then performs optional receive beamforming and RE resource demapping, calculates the sensing channel, and reports it to the CSDU. The CSDU can then perform signal-level fusion and parameter estimation based on the sensing channel; alternatively, it can directly estimate the parameters of the sensing channel and then perform parameter-level fusion to calculate sensing information such as distance, velocity, and location, which is then reported to the CSCU. Next, the CSCU updates the sensing associations based on the reported sensing target location information and the authorization information list issued by the core network, and prepares for the next sensing service.

[0090] In one embodiment, Figure 6 This is a flowchart illustrating another implementation method of a cellular-free sensing-integrated architecture provided by an embodiment of the present invention. This embodiment uses a sensing mode field of 0, i.e., a TRP-side sensing mode, as an example to explain the communication process of the cellular-free sensing-integrated architecture. Figure 6 As shown, the method includes:

[0091] S601, initiate sensing service.

[0092] The core network initiates the sensing service. The sensing service can be requested by a third-party platform from the core network, or by the terminal, etc. When the core network initiates the sensing service, it also sends the sensing authorization information list stored in eUDM, including the sensing mode field, the TRP authorization information list, and the UE authorization information list.

[0093] S602, parse the list of authorized information for perception.

[0094] The CSCU parses the perception authorization information list, and the RRC in the CSCU parses the perception authorization information list, where the mode field is 0, the TRP authorization information list is the TRP identity identifier and corresponding TRP location information that can be used for perception, and the UE authorization information list is empty.

[0095] S603, Initial Association.

[0096] The initial association is completed by the CSCU. The CSCU's RRC first generates an initial list of associated nodes, with the sensing mode field set to 0. This initial list of associated nodes is a TRP authorization information list. A clustering algorithm is used to cluster the available TRP nodes, and the PDCP generates a unique sensing number for each cluster result. Transmit / receive node states are assigned within each TRP cluster. One possible approach is to assign the cluster center TRP to downlink transmit state and the other TRPs to uplink receive state.

[0097] S604, issue sensing services.

[0098] The CSCU issues sensing services to the CSDU. The sensing service includes a unique sensing ID, a list of TRP authorization information associated with that ID, and the TRP transmit / receive status.

[0099] S605, Sensing Service Scheduling.

[0100] The CSDU handles the scheduling of sensing services. Each CSDU is bound to a unique sensing ID. The eMAC-C parses the TRP authorization information list and corresponding TRP transmit / receive status associated with the sensing ID. Based on communication QoS requirements and sensing latency requirements, it schedules the sensing signal transmission priority, transmission frequency, transmission interval, and available bandwidth, assigning the same priority to all TRP transmit / receive services and inserting them into the communication scheduling queue. The eMAC-U generates the downlink transmitting sensing data stream based on the PDCP sensing ID, sensing bandwidth and time, and the number of downlink transmitting TRPs.

[0101] S606, H-SEN handles downlink tasks.

[0102] The downlink task is completed by the H-SEN of CSDU. The main downlink task of H-SEN is to perform layer mapping on the downlink transmit sensing data stream to realize the correspondence between the sensing data stream and the number of transmit TRPs.

[0103] S607 sends out the sensing data stream.

[0104] The H-SEN of the CSDU sends the sensing data stream to the EDU.

[0105] S608, L-SEN handles downlink tasks.

[0106] The downlink task is completed by the L-SEN of the EDU. The main downlink task of the L-SEN is to further map the sensed data stream to the corresponding RE resource block. Optionally, it needs to complete downlink transmission digital beamforming.

[0107] S609, sends downlink frequency domain data.

[0108] The EDU sends downlink frequency domain data (which can be frequency domain resource grid data) to the TRP, where the frequency domain resource grid already maps both sensing data and communication data.

[0109] S610, signal transmission and reception.

[0110] The TRP handles signal transmission and reception. Transmission mainly includes IFFT, CP addition, digital-to-analog conversion, and analog beamforming, while reception mainly includes analog beamforming, analog-to-digital switching, CP removal, and FFT.

[0111] S611, report uplink frequency domain data.

[0112] The uplink frequency domain data can be a frequency domain resource grid data; the TRP reports the frequency domain resource grid data to the EDU.

[0113] S612, L-SEN handles uplink tasks.

[0114] The uplink task is completed by the L-SEN of the EDU. The main uplink task of the L-SEN is to extract the RE resource block corresponding to the sensing from the frequency domain resource grid and to complete the sensing channel estimation.

[0115] S613, report the sensing channel estimation results.

[0116] The EDU reports the sensing channel estimation results to the CSDU.

[0117] S614, H-SEN handles uplink tasks.

[0118] The uplink task is completed by the H-SEN of the CSDU. The main uplink tasks of the H-SEN are signal-level fusion, parameter estimation, and parameter-level fusion. Signal-level fusion directly fuses the original sensing channels to estimate sensing parameters; parameter estimation can be performed based on the fused and unfused channels to estimate parameters such as delay and velocity; parameter-level fusion then determines the sensing information such as the location and trajectory of the sensing object based on the TRP location and parameter estimation results.

[0119] S615, report sensing information.

[0120] The CSDU reports the sensing information to the CSCU for aggregation.

[0121] S616, report the perceived information and request an authorized information list.

[0122] The CSCU integrates the sensing information from each sensing number and reports it to the core network, and also requests an authorized information list from the core network.

[0123] S617, integrates perceived information and updates the list of authorized information.

[0124] The core network integrates sensing information and forwards it to third-party applications. Simultaneously, when the core network receives a request to update the authorized information list, it determines whether an update is needed based on new UE access information and UE mobility. If an update is required, it updates the UE list and UE location information.

[0125] S618, Update the list of authorized information.

[0126] The updated list of authorization information is issued by the core network. If step S17 determines that no update is needed, step S18 is skipped to reduce core network interaction.

[0127] S619, update association.

[0128] The CSCU updates the association status, updates the list of associated nodes based on the parsed perception authorization information, generates a distance table for associated nodes based on the location of the target of interest and the list of associated nodes, and generates a perception signal-to-noise ratio table based on the historical association list. The CSCU sorts the distance table and perception signal-to-noise ratio table using weighted algorithms and other methods, and selects the top K nodes that meet the requirements of the perception task to update the association status of the target of interest and the nodes. After updating the association status, the CSCU proceeds to the preparation and deployment of the next round of perception services; where K is an integer greater than or equal to 1.

[0129] In one example, this embodiment uses a sensing mode field of 1, i.e., a sensing working mode of TRP-side sensing and UE-assisted sensing, to illustrate the communication process based on a cellular-free sensing integrated architecture. The difference from the flowchart above is that TRP-side sensing + UE-assisted sensing supports using the UE's uplink pilot signal to enhance sensing.

[0130] S701 is the same as S601 above.

[0131] S702, parse and perceive the list of authorization information.

[0132] The CSCU parses the perception authorization information list, and the RRC in the CSCU parses the perception authorization information list. The mode field is 1. The TRP authorization information list is the TRP identity identifier and corresponding TRP location information that can be used for perception. The UE authorization information list is the UE identity identifier and corresponding UE location information that can be used for perception.

[0133] S703, Initial Association.

[0134] The initial association is completed by the CSCU. The CSCU's RRC first generates an initial list of associated nodes, with the perception mode field set to 1. This initial list is the sum of the TRP authorization information list and the UE authorization information list. A clustering algorithm is used to cluster the available TRP nodes, and the PDCP generates a unique perception number for each cluster result. Transceiver node states are assigned within each TRP cluster. One possible approach is to assign the TRP at the cluster center to downlink transmit state and the other TRPs to uplink receive state. Simultaneously, the CSCU queries the UE's communication-associated TRP node list. If the set of TRP nodes associated with the UE intersects with the TRP set in the cluster result, the UE node information is associated with that cluster set.

[0135] S704, issue sensing services.

[0136] The CSCU issues the sensing service to the CSDU. The sensing service includes a unique sensing number, a list of TRP authorization information associated with the sensing number and the TRP transmit / receive status, and a list of UE authorization information associated with the sensing number.

[0137] S705-S712 are the same as S605-S612 mentioned above.

[0138] S713 reports the sensing channel estimation results and the uplink pilot channel estimation results.

[0139] The EDU reports the sensing channel estimation results to the CSDU. At the same time, the EDU's L-SEN checks whether the UE in the L-PHY exists in the sensing UE authorization information list. If it does, it reports the uplink pilot channel estimation results of the auxiliary UE associated with the unique sensing number to the CSDU.

[0140] S714, H-SEN completed the uplink mission.

[0141] The uplink task is completed by the H-SEN of the CSDU. The main uplink task of the H-SEN is to complete signal-level fusion, parameter estimation, and parameter-level fusion by using sensing channel estimation and uplink pilot channel estimation assisted by the UE. Signal-level fusion directly fuses the original sensing channels to estimate sensing parameters; parameter estimation can be performed on parameters such as delay and speed based on the fused and unfused channels respectively; parameter-level fusion then determines the sensing information such as the location and trajectory of the sensing object based on the TRP location and parameter estimation results.

[0142] S715-S719 are the same as S615-S619 mentioned above.

[0143] It should be noted that the uplink tasks in this invention include uplink communication tasks and uplink sensing tasks; the downlink tasks include downlink communication tasks and downlink sensing tasks. When processing uplink and downlink communication tasks, task processing needs to be performed based on the corresponding uplink communication data and downlink communication data; similarly, when processing uplink and downlink sensing tasks, task processing needs to be performed based on the corresponding uplink sensing data and downlink sensing data.

[0144] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0145] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A cellular-free integrated sensing architecture, characterized in that, include: Transceiver Node (TRP), Edge Distributed Unit (EDU), Sensor Distributed Unit (CSDU), and Sensor Centralized Unit (CSCU); Each EDU establishes a connection with at least one TRP, each CSDU establishes a connection with at least one EDU, and each CSCU establishes a connection with at least one CSDU. The CSCU is used to parse the control plane and user plane data sent by the core network and send it to the CSDU, as well as to report the communication data and sensing data of each CSDU to the core network. The CSDU is used to implement protocol layer scheduling functions and related functions of higher-order physical layer and higher-order sensing layer in signal processing; The EDU is used to implement the relevant functions of the low-order physical layer and low-order sensing layer in signal processing; The TRP is used to realize the functions of transmitting and receiving radio frequency sensing signals and digital-to-analog / analog-to-digital conversion.

2. The integrated sensing architecture according to claim 1, characterized in that, The CSCU includes: a sensing control plane CSCP and a sensing user plane CSUP; the CSCP and the CSUP establish a connection through a first type of enhanced interface and perform interaction and coordination of sensing functions; The CSCP establishes a connection with the core network through the control plane type 2 enhanced interface. The CSCP is at least used to process perception-related control signaling and to transmit perception-related control signaling to the core network. The CSUP establishes a connection with the core network through the user plane type 2 enhanced interface. The CSUP is at least used to process perception application-related user data and perception data, and to transmit perception application-related user data and perception data to the core network.

3. The integrated sensing architecture according to claim 1, characterized in that, The CSDU includes: an enhanced MAC control plane, an enhanced MAC user plane, a higher-order physical layer, and a higher-order perception layer; wherein, the enhanced MAC control plane establishes a connection with the CSCU through a third type of enhanced interface of the control plane, and the enhanced MAC user plane establishes a connection with the CSCU through a third type of enhanced interface of the user plane; The enhanced MAC control plane is used at least for scheduling and processing sensing control plane messages; The enhanced MAC user plane is used at least for scheduling and processing sensing data; After scheduling and processing are completed, the CSDU sends communication data and sensing data down to the physical layer through the higher-order physical layer and the higher-order sensing layer, and uploads physical layer data to the MAC layer. The higher-order sensing layer is used to implement at least one of the following functions: layer mapping, parameter estimation, parameter-level fusion, signal-level fusion, and sensing information estimation.

4. The integrated sensing architecture according to claim 1, characterized in that, The EDU includes a low-order physical layer and a low-order sensing layer; wherein, the low-order physical layer establishes a connection with the high-order physical layer; and the low-order sensing layer establishes a connection with the high-order sensing layer. The low-order sensing layer is used to implement at least one of the following functions: resource unit (RE) resource mapping, RE de-resource mapping, digital beamforming, channel estimation, and parameter estimation.

5. A method for implementing a cellular-free integrated sensing architecture, characterized in that, Applied to the cellular-free integrated sensing architecture as described in any one of claims 1-4; The implementation method includes: When the CSDU receives a sensing service initiated by the core network forwarded by the CSCU, the CSDU schedules the sensing service, generates a sensing data stream, and uses the higher-order sensing layer in the CSDU to process downlink tasks based on the sensing data stream, and then sends the sensing data stream to the EDU; the lower-order sensing layer in the EDU generates corresponding downlink frequency domain data containing sensing data and communication data based on the sensing data stream, and then sends the downlink frequency domain data to the TRP; After the TRP completes signal transmission and reception, the TRP reports uplink frequency domain data to the EDU, and processes the uplink task based on the uplink frequency domain data through the low-order sensing layer in the EDU to obtain the sensing channel estimation result, and reports the sensing channel estimation result to the CSDU. The higher-order sensing layer in the CSDU processes the uplink task based on the sensing channel estimation result, generates corresponding sensing information, reports the sensing information to the CSCU, and then reports the sensing information to the core network through the CSCU.

6. The implementation method according to claim 5, characterized in that, The method further includes: when the core network initiates a sensing service to the CSCU, receiving and parsing a list of sensing authorization information associated with the sensing service through the CSCU; The perception authorization information list includes at least one of the following: a perception mode field, a TRP authorization information list, and a UE authorization information list; wherein the perception mode field is used to characterize the perception mode of the access network RAN; the TRP authorization information list is all TRP information used for perception services; and the UE authorization information list is all UE information used for perception services.

7. The implementation method according to claim 6, characterized in that, Also includes: The CSCU determines the perception association between the TRP set associated with the perception data stream and the perception target; wherein, the perception association includes: initial association and association state update; The initial association process includes: when the core network initiates a sensing service, the CSCU generates an initial association node list based on the sensing mode field, the TRP authorization information list, and the UE authorization information list; and clusters all TRPs in the TRP authorization information list according to the initial association node list to allocate the transmit and receive states of each TRP, obtaining all TRPs in the downlink transmit state and all TRPs in the uplink receive state, thus obtaining the TRP cluster set associated with the sensing target, and generating a corresponding sensing number for each TRP cluster set; The process of updating the associated status includes: when the CSCU receives the sensing information reported by the CSDU, the CSCU generates an associated node distance table based on the actual location of the sensing target and each TRP in the associated node list, and generates a sensing signal-to-noise ratio table based on the historical associated node list; selects multiple TRPs that meet the sensing service requirements based on the associated node distance table and the sensing signal-to-noise ratio table, and updates the associated node list based on the multiple TRPs that meet the sensing service requirements; After the CSCU determines the association between the sensing target and the TRP, each TRP is associated with a connected EDU, the EDU is associated with a connected CSDU, and the CSDU is associated with a connected CSCU, according to the network topology diagram.

8. The implementation method according to claim 7, characterized in that, The process of scheduling the sensing service through the CSDU, generating a sensing data stream, using a higher-order sensing layer in the CSDU to process downlink tasks based on the sensing data stream, and then sending the sensing data stream to the EDU includes: The enhanced MAC control plane in the CSDU parses the list of TRP grant information corresponding to the sensing number and the transmit / receive status of the corresponding TRP, and schedules the transmission priority, transmission frequency, transmission interval and available bandwidth of the sensing signal based on the communication service quality requirements and sensing latency requirements; the enhanced MAC user plane in the CSDU generates a downlink transmission sensing data stream according to the sensing number, sensing bandwidth occupied, sensing time occupied and the number of TRPs in downlink transmission state. The downlink transmit sensing data stream is layer-mapped through the higher-order sensing layer in the CSDU to correspond the sensing data stream to the number of TRPs in the downlink transmit state; the sensing data stream is then sent to the EDU through the higher-order sensing layer in the CSDU.

9. The implementation method according to claim 7, characterized in that, When the perception mode field in the perception authorization information list has different values, the initial associated node list includes the TRP authorization information list and / or the UE authorization information list; If the initial associated node list includes a UE authorization information list, the initial association process further includes: querying the TRP list associated with the user equipment through the CSCU; if there is an intersection between the TRP list and the TRP cluster set, associating the user equipment with the TRP cluster set.

10. The implementation method according to claim 7, characterized in that, When the perception mode field is a second value, the method further includes: The system searches the lower-level perception layer in the EDU to see if the associated lower-level physical layer user equipment exists in the UE authorization information list; if it exists in the UE authorization information list, the uplink pilot channel estimation result of the user equipment associated with the perception number is sent to the CSDU. The uplink task is performed by the higher-order sensing layer in the CSDU using the sensing channel estimation results and the uplink pilot channel estimation results.

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