Non-honeycomb-based communication and inductance integrated architecture and implementation method of non-honeycomb-based communication and inductance integrated architecture

Abstract

The invention discloses a non-honeycomb-based communication and inductance integrated architecture and an implementation method of the non-honeycomb-based communication and inductance integrated architecture. The architecture comprises a TRP, an EDU, a CSDU and a CSCU. Wherein each EDU establishes a connection with at least one TRP, each CSDU establishes a connection with at least one EDU, and the CSCU establishes a connection with at least one CSDU; the CSCU is used for analyzing control plane and user plane data issued by the core network, issuing the control plane and user plane data to the CSDU, and reporting communication data and sensing data of each CSDU to the core network; the CSDU is used for realizing a protocol layer scheduling function and related functions of a high-order physical layer and a high-order sensing layer in signal processing; the EDU is used for realizing related functions of a low-order physical layer and a low-order sensing layer in signal processing; and the TRP is used for realizing related functions of receiving and transmitting radio frequency sensing signals and digital-to-analog / analog-to-digital conversion. According to the invention, segmentation of the sensing function is realized, a segmentation framework can be reused, dead-corner-free and high-precision sensing is realized, and the effect of cellular-free expandable deployment is further realized.

Description

Technical Field

[0001] The present invention relates to the field of communication technology, and in particular to a cellular-free synaesthesia integrated architecture and an implementation method. Background Art

[0002] Cell-free distribution is a new type of networking and a key technology for improving the performance of 6G. In a cell-free distributed system, multiple distributed wireless transmitting / receiving points (TRPs) collaborate to serve multiple users on the same time-frequency resources. At the same time, they can use wireless channels to perceive environmental information, achieving the mutually beneficial effects of communication-assisted perception and perception-assisted communication. Therefore, unlike the existing multi-station synaesthesia integration architecture based on cellular systems, the synaesthesia integration architecture based on cell-free systems has inherent advantages in the joint processing of physical layer signals, but it is necessary to additionally solve the large-scale expansion and synaesthesia capability segmentation problems of the synaesthesia integration architecture based on cell-free systems.

[0003] In terms of perception authorization, traditional user authorization cannot meet the requirements of regional perception authorization. In terms of perception association, non-cellular communication user association cannot meet the requirements of perception target association. In terms of joint processing of perception signals, cellular multi-station association requires the core network to coordinate multiple stations, resulting in heavy scheduling burden and large interoception delay. Multi-point association based on non-cellular can coordinate multiple points on the radio access network (RAN) side to meet different perception services and capability needs. To this end, it is necessary to systematically sort out a non-cellular-based interoception integrated system architecture and complete the segmentation of perception functions to achieve scalable non-cellular deployment. Summary of the invention

[0004] The present invention provides a cellular-free integrated synaesthesia architecture and implementation method, which realizes the segmentation of perception functions and further achieves the effect of cellular-free scalable deployment.

[0005] According to one aspect of the present invention, there is provided a synaesthesia integrated architecture based on a non-cellular system, comprising: a transceiver node TRP, an edge distributed unit EDU, a synaesthesia distributed unit CSDU and a synaesthesia centralized unit CSCU;

[0006] Wherein, each of the EDUs is connected to at least one of the TRPs, each of the CSDUs is connected to at least one of the EDUs, and the CSCU is connected to at least one of the CSDUs;

[0007] The CSCU is used to parse the control plane and user plane data sent by the core network, send them to the CSDU, and report the communication data and perception data of each CSDU to the core network;

[0008] The CSDU is used to implement the protocol layer scheduling function and related functions of the high-order physical layer and the high-order perception layer in signal processing;

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

[0010] The TRP is used to implement the related functions of receiving and sending 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 synaesthesia integration architecture based on a non-cellular system is provided, which is applied to the synaesthesia integration architecture based on a non-cellular system as described in any of the above embodiments; the implementation method comprises:

[0012] When the CSDU receives a perception service initiated by the core network forwarded by the CSCU, the perception service is scheduled through the CSDU to generate a perception data stream, and a high-order perception layer in the CSDU is used to process downlink tasks based on the perception data stream, and the perception data stream is sent down to the EDU; corresponding downlink frequency domain data containing perception data and communication data is generated based on the perception data stream through a low-order perception layer in the EDU, and the downlink frequency domain data is sent down to the TRP;

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

[0014] The technical solution of the embodiment of the present invention includes CSDU, EDU, TRP and CSCU in the cellular-free integrated synaesthesia architecture, and effectively divides the communication functions among CSDU, EDU, TRP and CSCU, thereby achieving distributed and centralized unification and realizing the expansion of the system scale; at the same time, CSDU is used to implement the relevant functions of the high-order perception layer, and EDU is used to implement the relevant functions of the low-order perception layer, thereby realizing the division of the perception function, and the divided architecture can be reused to achieve no-dead-angle and high-precision perception, thereby achieving the effect of cellular-free scalable deployment.

[0015] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0017] Figure 1 It is a structural block diagram of a synaesthesia integrated architecture based on a non-cellular system provided by an embodiment of the present invention;

[0018] Figure 2 is a structural block diagram of another synaesthesia integrated architecture based on non-cellular provided by an embodiment of the present invention;

[0019] Figure 3 It is a structural block diagram of another synaesthesia integrated architecture based on non-cellular provided by an embodiment of the present invention;

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

[0021] Figure 5 is a flow chart of a method for implementing a cellular-free synaesthesia integrated architecture provided by an embodiment of the present invention;

[0022] Figure 6 It is a flowchart of another method for implementing a cellular-free synaesthesia integrated architecture provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0023] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work 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 and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0025] In an embodiment of the present invention, a non-peak cell synaesthesia integrated architecture is proposed, and the logical nodes and functional division of the architecture are provided, the central unit capability is enhanced so that the CSCU can process the interaction between the perception information and the core network, the H-SEN is introduced so that the CSDU can process the high-order perception parameter estimation, and the L-SEN is introduced so that the EDU can process the low-order perception channel estimation; facing the new authorization demand of synaesthesia integration, authorization schemes for different perception modes are given; facing the new perception association demand of synaesthesia integration, the initial association and association update schemes of perception nodes such as TRP and targets of interest are given.

[0026] The present invention proposes a novel synaesthesia integration implementation architecture based on a cellular-free architecture, which implements perception authorization and perception association, solves the signal transmission and segmentation problems of distributed multi-point joint processing, can effectively reduce the amount of fronthaul and backhaul data, can realize automatic clustering for perception targets, and enhance perception performance. At the same time, the synaesthesia signal segmentation based on the cellular-free architecture can realize the segmentation and standardized processing of communication signals and perception signals. For different perception modes, corresponding perception authorization is implemented, including regional authorization and UE authorization, to ensure regional privacy and enhance the perception performance of the target of interest. The concept of "user" association is expanded, and the ability of cellular-free on-demand allocation and unlimited expansion is brought into play through perception association.

[0027] In one embodiment, Figure 1 1 is a structural block diagram of a synaesthesia integration architecture based on a non-cellular system provided by an embodiment of the present invention. This embodiment is applicable to the case where the perception function is divided under the synaesthesia integration architecture without a cellular system. The synaesthesia integration architecture based on a non-cellular system can be implemented in the form of hardware and / or software. Figure 1As shown, the cellular-free integrated communication architecture includes: a transceiver node TRP110, an edge distributed unit (EDU) 120, a communication and sensing distributed unit (CSDU) 130 and a communication and sensing centralized unit (CSCU) 140;

[0028] Each EDU 120 is connected to at least one TRP 110 , each CSDU 130 is connected to at least one EDU 120 , and the CSCU 140 is connected to at least one CSDU 130 ;

[0029] CSCU140 is used to parse the control plane and user plane data sent by the core network, send them to CSDU130, and report the communication data and perception data of each CSDU130 to the core network;

[0030] CSDU130 is used to implement the protocol layer scheduling function and related functions of the high-order physical layer and high-order perception layer in signal processing;

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

[0032] TRP110 is used to implement the functions of receiving and sending RF sensing signals and digital-to-analog / analog-to-digital conversion.

[0033] like Figure 1 As shown, in an embodiment, each CSCU 140 can establish a connection with two CSDUs 130 directly, or establish a connection with two CSDUs 130 through a switch; each CSDU 130 can establish a connection with two EDUs 120 directly, or establish a connection with two EDUs 120 through a switch; one TRP 110 can be connected to one or two determined EDUs 120; each TRP 110 can be configured with multiple antennas and establish a connection with two user equipments (UE) through a wireless channel.

[0034] like Figure 1 As shown, one EDU 120 can be connected to multiple CSDUs 130, so that the CSDU 130 can be connected to multiple TRPs 110. In addition, the CSDU 130 can share a certain EDU 120 in a certain time-frequency resource.

[0035] In one example, the functions of the high-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 low-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 an embodiment, CSCU140 can implement control of communication functions and perception functions. Specifically, it can send communication requests to CSDU130 with communication functions and synaesthesia functions, and send perception requests to CSDU130 with perception functions and synaesthesia functions, respectively, according to the communication requests and perception requests of the core network. In an embodiment, CSDU130 can merge the uplink perception data belonging to the same perception data stream sent by one or more EDU120, and distribute multiple downlink perception data streams to corresponding EDU120; CSCU140 is used to implement the interaction process with the core network, that is, to report the communication data and perception data of multiple CSDU130 to the core network, and parse the control plane and user plane data sent by the core network, and send them to CSDU130.

[0037] In this embodiment, the "user-centric" concept of the non-cellular network is further expanded to perception application function requests, and CSCU140 and CSDU130 are introduced into the new non-cellular synaesthesia integrated architecture to simultaneously process communication functions and perception functions.

[0038] The technical solution of this embodiment, by including CSDU, EDU, TRP and CSCU in the cellular-free integrated synaesthesia architecture, effectively divides the communication functions among CSDU, EDU, TRP and CSCU, thereby achieving distributed and centralized unification and realizing the expansion of the system scale; at the same time, CSDU is used to implement the relevant functions of the high-order perception layer, and EDU is used to implement the relevant functions of the low-order perception layer, thereby realizing the division of the perception function, and the divided architecture can be reused to achieve no-dead-angle and high-precision perception, thereby achieving the effect of cellular-free scalable deployment.

[0039] In one embodiment, the CSCU includes: a Communication and Sensing-ControlPlane (CSCP) and a Communication and Sensing-User Plane (CSUP); the CSCP and the CSUP establish a connection through a first type enhanced interface, and interact and coordinate perception functions;

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

[0041] In one example, the first type of enhanced interface may be an enhanced E1 (extended E1, eE1) interface; the second type of enhanced interface on the control plane may be an enhanced NG interface-control plane (Extended Next Generation-Control Plane, eNG-c) interface; the second type of enhanced interface on the user plane may be an enhanced NG interface-user plane (Extended Next Generation-User Plane, eNG-u) interface.

[0042] In the embodiment, CS-CP and CS-UP are the control plane and data plane in CSCU respectively. CS-CP users process relevant messages of control signaling, which may include RRC functions of communication and perception; CS-UP is used to process the transmission of user data, including PDCP and RLC functions of user data and perception data of UE. eNG, eF1 and eE1 are natively equipped with the interactive functions of communication-related signaling and data. The interaction of signaling and data between CSCU and core network is transmitted through the enhanced eNG interface, among which eNG-C adds perception-related control signaling, and eNG-U adds perception application-related data; the interaction of communication signaling and perception signaling, as well as the interaction of communication data and perception data between CSCU and CSDU is transmitted through the enhanced eF1 interface, among which eF1-C adds perception application context management and perception RRC message transmission function, and eF1-U adds perception data transmission function; the interaction and collaboration of CS-CP and CS-UP are realized through the enhanced eE1 interface, and the interaction and coordination of new perception functions are added. CS-CP transmits control commands such as perception session management and perception parameter configuration through the eE1 interface, and CS-UP transmits perception resource usage and perception data statistics through the eE1 interface.

[0043] In one embodiment, the CSDU includes: an enhanced MAC control plane (Extended Medium Access Control-Control Plane, eMAC-C), an enhanced MAC user plane (Extended Medium Access Control-UserPlane, eMAC-U), a high-level physical layer (High-level Physical layer, H-PHY) and a high-level sensing layer (High-level Sensing layer, H-SEN); 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;

[0044] Wherein, the enhanced MAC control plane is used at least for scheduling and processing perception control plane messages;

[0045] The enhanced MAC user plane is used at least for scheduling and processing sensing data;

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

[0047] In one example, the third type of enhanced interface of the control plane may be an enhanced F1 interface-control plane (Extended F1Interface-Control Plane, eF1-c) interface; the third type of enhanced interface of the user plane may be an enhanced F1 interface-user plane (Extended F1 Interface-User Plane, eF1-u) interface. In one example, the CSDU can implement communication functions and perception functions. It can choose to implement only communication functions, only perception functions, or both communication and perception functions according to device capabilities (referring to the computing power of the physical device in which the CSDU is embedded, for example, statistics can be performed based on the number of cores and the number of CPUs) and collaboration requirements (referring to different collaboration levels and collaboration scales such as parameter level, signal level and probability level). CSDU processes perception data through an enhanced eMAC module, wherein eMAC-C adds scheduling and processing of perception data control plane messages, and eMAC-U adds scheduling and processing of perception data plane messages. After the scheduling is completed, the CSDU completes the sending of communication data and perception data to the physical layer through the H-PHY and H-SEN modules, and the uploading of physical layer data to the MAC layer. In the specific implementation of the perception algorithm, CSDU can choose to perform only signal-level fusion and output perception information, or 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, speed, 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 is connected to the high-level physical layer; and the low-level sensing layer is connected to the high-level sensing layer;

[0049] The low-order perception 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.

[0050] In an embodiment, the physical layer perception function is divided based on the non-cellular interawareness integrated architecture, and the perception function can be divided into L-SEN and H-SEN, which are implemented in EDU and CSDU respectively. In one example, the perception function can be divided based on the amount of data interaction between EDU and CSDU, and whether localized calculation can be realized. For example, data that does not depend on other EDUs can be divided into EDU; and data that needs to depend on other EDUs can be divided into CSDU. Among them, L-SEN is used to complete functions such as RE resource mapping, RE solution resource mapping, beamforming and channel estimation, and H-SEN is used to complete functions such as layer mapping, signal level fusion, parameter estimation and parameter level fusion. Among them, the layer mapping of H-SEN mainly refers to the mapping relationship between perception data and EDU. H-SEN determines the fusion mode according to the eMAC layer control information, and can perform signal level fusion, that is, the channel estimation result uploaded by L-SEN is directly fused using the signal level fusion algorithm, and then the perception information is estimated; it is also possible to first estimate the parameters such as delay, angle and Doppler of the channel estimation, and then use the parameter level fusion algorithm to fuse, and then estimate the perception information. In particular, if parameter-level fusion is adopted, the parameter estimation function can be further selected to be sunk 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 perception functions and calculations.

[0051] In one embodiment, Figure 2 is a structural block diagram of another synaesthesia integrated architecture based on a non-cellular system provided by an embodiment of the present invention. Figure 2 As shown in FIG. 1 , a CSDU is added to the new cellular-free integrated access network architecture, that is, the new cellular-free integrated access network architecture includes TRP, EDU, CSDU and CSCU. The CSCU is directly connected to the three CSDUs, each CSDU is connected to each EDU through a switch, each EDU is directly connected to the three TRPs, and each TRP communicates with UE1, UE2, UE3, UE6, UE7 and UE8 through a wireless channel, and senses Scatter1 and Scatter2.

[0052] In one embodiment, Figure 3 is a structural block diagram of another synaesthesia integrated architecture based on a non-cellular system provided by an embodiment of the present invention. Figure 3As shown in the figure, the core network includes: Access and Mobility Management Function (AMF), Extended Unified Data Management (eUDM) and Sensing Network Function (SNF). TRP includes: Remote Radio Unit (RRU) and Active Antenna Unit (AAU), which are used to complete the functions of receiving and sending radio frequency sensing signals, digital-to-analog / analog-to-digital conversion, etc.; EDU is used to complete the functions of L-PHY and newly added L-SEN in signal processing; CSDU is used to complete the MAC layer scheduling function, H-PHY and newly added H-SEN, etc., to merge the uplink sensing data belonging to the same sensing flow sent by multiple EDUs, and distribute multiple downlink sensing flows to the corresponding EDUs; CSCU mainly completes the interaction with the core network, uploads the communication data and sensing data of multiple CSDUs to the core network, and parses the control plane and user plane data sent by the core network and sends them to the CSDU.

[0053] CSCU can realize the control of communication and perception functions. According to the communication request and perception request of the core network, it can send the communication request to the CSDU with communication function and interawareness function, and send the perception request to the CSDU with perception function and interawareness function. CS-CP and CS-UP are the control plane and data plane in CSCU respectively. CS-CP processes control signaling related messages, mainly including RRC functions of communication and perception; CS-UP processes user data transmission, including PDCP and RLC functions of UE user data and perception data. The signaling interaction between CSCU and the core network is transmitted through the enhanced eNG interface, where eNG-C adds new perception-related control signaling, and eNG-U adds new perception application-related data; the communication between CSCU and CSDU, the interaction and communication of perception signaling, and the interaction of perception data are transmitted through the enhanced eF1 interface, where eF1-C adds new perception application context management and perception RRC message transmission function, and eF1-U adds a new perception data transmission function; the interaction and collaboration between CS-CP and CS-UP are realized through the enhanced eE1 interface, and the interaction and coordination of new perception functions are added. CS-CP transmits control commands such as perception session management and perception parameter configuration through the eE1 interface, and CS-UP transmits perception resource usage, perception data statistics, etc. through the eE1 interface.

[0054] CSDU processes the perception data through the enhanced eMAC module, where eMAC-C adds scheduling and processing of perception data control plane messages, and eMAC-U adds scheduling and processing of perception data plane messages. After scheduling is completed, CSDU completes the sending of communication data and perception data to the physical layer through the H-PHY and H-SEN modules, and the uploading of physical layer data to the MAC layer.

[0055] In one embodiment, Figure 4 FIG. 1 is a schematic diagram of a specific functional division of L-SEN and H-SEN provided by an embodiment of the present invention. Figure 4 As shown in the figure, the perception function is divided into L-SEN and H-SEN, which are implemented in EDU and CSDU respectively. L-SEN is used to implement functions such as RE resource mapping, RE de-resource mapping, digital beamforming and channel estimation, while H-SEN is used to implement functions such as layer mapping, signal-level fusion, perception information estimation, parameter estimation and parameter-level fusion. The layer mapping of H-SEN mainly refers to the mapping relationship from perception data to EDU. H-SEN determines the fusion mode according to the control information of the eMAC layer. It can perform signal-level fusion, that is, the channel estimation result uploaded by L-SEN is directly fused by the signal-level fusion algorithm, and then the perception information is estimated; it can also first estimate the channel estimation parameters such as delay, angle and Doppler, and then use the parameter-level fusion algorithm to fuse, and then estimate the perception information.

[0056] In one embodiment, Figure 5 FIG. 1 is a flow chart of a method for implementing a cellular-free synaesthesia integrated architecture provided by an embodiment of the present invention. Figure 5 As shown, the implementation method of the cellular-free synaesthesia integrated architecture includes:

[0057] S110. When the CSDU receives the perception service initiated by the core network and forwarded by the CSCU, the perception service is scheduled through the CSDU to generate a perception data stream.

[0058] S120, using the high-order perception layer in the CSDU to process downlink tasks based on the perception data stream, and sending the perception data stream to the EDU.

[0059] S130. Generate corresponding downlink frequency domain data containing perception data and communication data based on the perception data stream through the low-order perception layer in the EDU, and send the downlink frequency domain data to the TRP.

[0060] In one example, the downlink frequency domain data includes downlink communication data of the base station, which is used to detect the perception signal of the target.

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

[0062] In the embodiment, the TRP converts the downlink frequency domain data into a radio frequency signal through inverse Fourier transform, adding a cyclic prefix, up-conversion and other operations and sends it out. The TRP converts the radio frequency signal received by the device into uplink frequency domain data through down-conversion, removing the cyclic prefix and Fourier transform and other operations.

[0063] In one example, the uplink frequency domain data includes uplink communication data of a user equipment (UE) and a sensing signal reflected by an environment and a sensing target.

[0064] S150. Process the uplink task based on the perception channel estimation result through the high-order perception layer in the CSDU, generate corresponding perception information, and report the perception information to the CSCU.

[0065] S160. Report the perception information to the core network through the CSCU.

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

[0067] Among them, 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; among them, 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 the embodiment, the perception authorization is managed and initiated by the core network, and the CSCU on the RAN side completes the corresponding capability response and field parsing. It is characterized in that when the core network initiates the perception service demand, the RRC receives the perception authorization information list managed by the eUDM on the core network side, which includes the perception mode field, the TRP authorization information list, and the UE authorization information list.

[0069] The perception mode field is a digital index that determines the perception mode on the RAN side. The mapping relationship is shown in Table 1, where TRP-side perception only uses TRP signal transceiver for perception, TRP-side perception + UE-assisted perception uses both TRP signal transceiver and UE uplink pilot for perception, hybrid perception uses both TRP and UE signal transceiver for perception, UE-side perception only uses UE signal transceiver for perception, UE-side perception + TRP-side assisted perception uses both UE signal transceiver and TRP downlink pilot 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 TRP information that can be used for sensing services, which is managed by eUDM. Due to regional control and other requirements, TRP nodes in sensitive areas are not allowed to sense, and TRP nodes in non-sensitive areas are allowed to sense. Each TRP has a unique identity, which is managed and updated by eUDM. The TRP authorization information list includes all TRP identities allowed for sensing and TRP corresponding location information.

[0074] The UE authorization information list is a list of all UE information that can be used for sensing services, which is managed by eUDM. Due to regional control, user privacy and other requirements, the UE is allowed to be used for sensing only when and if the UE is in a non-sensitive area and the UE agrees to sign a contract to open location information. Each UE has a unique identity, which is managed and updated by eUDM. The TRP authorization information list includes all UE identities allowed for sensing and UE corresponding location information.

[0075] In one embodiment, a sensing association between a TRP set associated with a sensing data stream and a sensing target is determined by a CSCU; wherein the sensing association includes: an initial association and an association status update;

[0076] The implementation process of the initial association includes: when the core network initiates the perception service, the CSCU generates an initial association node list according to the perception 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 transceiver state of each TRP, obtain all TRPs in the downlink transmission state and all TRPs in the uplink reception state, obtain the TRP cluster set associated with the perception target, and generate a corresponding perception number for each TRP cluster set;

[0077] The implementation process of the association status update includes: when the CSCU receives the perception information reported by the CSDU, the CSCU generates an association node distance table according to the actual position of the perception target and each TRP in the association node list, and generates a perception signal-to-noise ratio table according to the historical association node list; selects multiple TRPs that meet the perception service according to the association node distance table and the perception signal-to-noise ratio table, and updates the association node list based on the multiple TRPs that meet the perception service;

[0078] After the CSCU determines the association between the sensing target and the TRP, it associates each TRP to the connected EDU, the EDU to the connected CSDU, and the CSDU to the connected CSCU according to the network topology diagram.

[0079] In one example, a TRP cluster set refers to a set of TRPs that send a perception data stream to a perception target and a set of TRPs that receive a perception data stream reflected by a perception target. In actual operation, there may be one or more TRPs that send a perception data stream to a perception target, and there may be one or more TRPs that receive a perception data stream returned by a perception target. For example, assuming that the perception target is a drone, the TRP that sends a perception data stream to the drone is TRP1, and the TRPs that receive the perception data stream returned by the drone are TRP2, TRP3, and TRP4. Then the TRP cluster set contains 4 TRPs, namely TRP1, TRP2, TRP3, and TRP4.

[0080] In a non-cellular wireless access network, the CSCU determines the transmit TRP and receive TRP associated with the perception data stream, and the association with the perception target (for example, in the Internet of Vehicles, it can be a vehicle; in air monitoring, it can be a drone; in environmental perception, it can be a hillside), including: the perception association is divided into two parts: initial association and association status update.

[0081] The initial association of the perception target is actually an association based on the area. Specifically, when the core network initiates the perception task, the CSCU enters the initial association state, and the RRC of the CSCU 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 authorization information list. If the perception mode field is 1 (TRP side perception + UE assisted perception), the initial association list is the TRP authorization information list. If the perception mode field is 2 (hybrid perception), the initial association list is the entire TRP authorization information list and the UE authorization information list.

[0082] The RRC in the CSCU uses a clustering algorithm to cluster all TRP nodes based on the initial associated node list, and completes the initial perception area division and the transmission and reception state allocation of all nodes based on the cluster center and the nodes in the cluster center. One optional transmission and reception state allocation scheme is to allocate the node in the cluster center to the downlink transmission state, and other nodes of the same class to the uplink reception state. The PDCP of the CSCU generates a unique perception number for each clustering result based on the clustering result.

[0083] The update of the association status of the perception target is actually based on the association of the perception target. The RRC in the CSCU first updates the list of associated nodes according to the parsed perception authorization information, and then generates an associated node distance table according to the location of the target body of interest and the list of associated nodes, and generates a perception signal-to-noise ratio table according to the historical association list. The CSCU updates the association status of the target body of interest and the node according to the associated node distance table and the perception signal-to-noise ratio table, and sorts them according to algorithms such as weighted algorithms.

[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 perception service is scheduled through the CSDU to generate a perception data stream, and the high-order perception layer in the CSDU is used to process downlink tasks based on the perception data stream, and the perception data stream is sent down to the EDU, including: parsing the TRP authorization information list corresponding to the perception number and the corresponding TRP's receiving and sending status through the enhanced MAC control plane in the CSDU, and scheduling the transmission priority, transmission frequency, transmission interval and available bandwidth of the perception signal based on the communication service quality requirements and the perception delay requirements; generating a downlink transmission perception data stream according to the perception number and the perception occupied bandwidth, the perception occupied time and the number of TRPs in the downlink transmission state through the enhanced MAC user plane in the CSDU; layer-mapping the downlink transmission perception data stream through the high-order perception layer in the CSDU to achieve the correspondence between the perception data stream and the number of TRPs in the downlink transmission state; and sending the perception data stream to the EDU through the high-order perception layer in the CSDU.

[0086] In one embodiment, when the sensing mode field in the sensing 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] In the case where the initial associated node list includes the UE authorization information list, the implementation process of the initial association also includes: querying the TRP list associated with the user equipment through the CSCU, and if there is an intersection between the TRP list and the TRP cluster set, associating the user equipment to 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. It can be understood that, in the case where the initial associated node list includes the TRP authorization information list, the TRP authorization information list in the initial associated node list includes a TRP identity that can be used for perception and corresponding TRP location information; and the UE authorization information list is empty; in the case where the initial associated node list includes the TRP authorization information list and the UE authorization information list, the TRP authorization information list includes a TRP identity that can be used for perception and the corresponding TRP location information, and the UE authorization information list includes a UE identity that can be used for perception and the corresponding UE location information; in the case where the initial associated node list includes the UE authorization information list, the TRP authorization information list is empty, and the UE authorization information list includes a UE identity that can be used for perception and the corresponding UE location information. When the initial associated node list includes a UE authorization information list, the CSCU queries the TRP list 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 perception mode field is a second value, the implementation method based on a cellular-free synaesthesia integrated architecture also includes: searching through the low-order perception layer in the EDU to see whether the user equipment in the associated low-order 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 perception number to the CSDU; and performing uplink tasks using the perception channel estimation result and the uplink pilot channel estimation result through the high-order perception layer in the CSDU.

[0089] In one embodiment, the perception process for the perception integrated architecture includes the following: when the core network initiates the perception service, the radio access network (RAN) side performs perception signal transmission, reception and resolution after perception authorization and perception association. First, the RRC of the CSCU parses the perception authorization information list and completes the initial association. The PDCP of the CSCU generates a unique perception number for each cluster based on the clustering result of the initial association. Then, the CSDU completes the scheduling and resource allocation. It is characterized in that the eMAC-C completes the scheduling of the perception signal transmission priority, transmission frequency, transmission interval, and available bandwidth according to the communication QoS requirements, perception delay requirements, etc., and the eMAC-U generates a downlink transmission perception data stream according to the perception number, perception occupied bandwidth and time of the PDCP, and the H-SEN performs layer mapping on the downlink transmission perception data stream. Then, the L-SEN of the EDU maps each perception data stream to the RE resource block, completes the optional transmission beamforming, and sends the downlink frequency domain data to the TRP to complete the transmission. After receiving the perception signal, TRP first reports it to EDU, which completes the optional receive beamforming, RE resource demapping, calculates the perception channel and reports it to CSDU. Then CSDU can perform signal-level fusion based on the perception channel and then perform parameter estimation; it can also choose to directly estimate the parameters of the perception channel and then perform parameter-level fusion to calculate the distance, speed, position and other perception information and report it to CSCU. Then, CSCU updates the perception association based on the reported perception target location information and the authorization information list issued by the core network, and prepares for the next perception service.

[0090] In one embodiment, Figure 6 This is a flowchart of another implementation method of a synaesthesia integration architecture based on a non-cellular system provided by an embodiment of the present invention. This embodiment takes the perception mode field as 0, that is, the perception working mode is TRP side perception as an example to illustrate the communication process based on the synaesthesia integration architecture without a cell. Figure 6 As shown, the method includes:

[0091] S601, initiate a sensing service.

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

[0093] S602, parse the perception authorization information list.

[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 that can be used for perception and the corresponding TRP location information, and the UE authorization information list is empty.

[0095] S603, initial association.

[0096] The initial association is completed by CSCU. The RRC of CSCU first generates an initial association node list, the perception mode field is 0, and the initial association node list is a TRP authorization information list. The clustering algorithm is used to complete the clustering of available TRP nodes, and PDCP generates a unique perception number for each clustering result. The state of the transceiver nodes is allocated in each TRP cluster. An optional solution is to allocate the cluster center TRP to the downlink transmission state and other TRPs to the uplink reception state.

[0097] S604, issuing the sensing service.

[0098] The CSCU sends the sensing service to the CSDU. The sensing service includes a unique sensing number, a list of TRP authorization information associated with the number, and the TRP sending and receiving status.

[0099] S605, perceive business scheduling.

[0100] CSDU completes the scheduling of perception services. CSDU is bound to a unique perception number, and eMAC-C parses the TRP authorization information list and the corresponding TRP transceiver status corresponding to the perception number, and completes the scheduling of the perception signal transmission priority, transmission frequency, transmission interval, and available bandwidth according to the communication QoS requirements and perception delay requirements, and assigns the same priority to the TRP transceiver services and inserts them into the communication scheduling queue. eMAC-U generates the downlink transmission perception data stream based on the PDCP perception number, the perception occupied bandwidth and time, and the number of downlink transmission TRPs.

[0101] S606, H-SEN processes the downlink task.

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

[0103] S607, sending the perception data stream.

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

[0105] S608, L-SEN processes the downlink task.

[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 perception data stream to the corresponding RE resource block. Optionally, it is necessary to complete the downlink transmission digital beamforming.

[0107] S609, sending downlink frequency domain data.

[0108] The EDU sends the downlink frequency domain data (the downlink frequency domain data may be frequency domain resource grid data) to the TRP, wherein the frequency domain resource grid has simultaneously mapped the perception data and the communication data.

[0109] S610, signal transmission and reception.

[0110] Signal transmission and reception are completed by TRP. Transmission mainly includes IFFT, CP addition, digital-to-analog conversion, analog beamforming, etc. Reception mainly includes analog beamforming, analog-to-digital conversion, CP removal, FFT, etc.

[0111] S611, report uplink frequency domain data.

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

[0113] S612, L-SEN processes the uplink task.

[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 corresponding RE resource block from the frequency domain resource grid and complete the perception channel estimation.

[0115] S613: Report the perception channel estimation result.

[0116] The EDU reports the perceived channel estimation result to the CSDU.

[0117] S614, H-SEN processes the uplink task.

[0118] The uplink task is completed by the H-SEN of CSDU. The main uplink task of H-SEN is to complete signal-level fusion, parameter estimation and parameter-level fusion. Signal-level fusion is to directly fuse the original perception channel to estimate the perception parameters; parameter estimation can complete the estimation of parameters such as delay and speed based on the fused channel and the unfused channel respectively; parameter-level fusion is to determine the position, trajectory and other perception information of the perception object based on the TRP position and parameter estimation results.

[0119] S615, report perception information.

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

[0121] S616, report perception information and apply for authorization information list.

[0122] The CSCU reports the perception information of each perception number to the core network and applies for an authorization information list from the core network.

[0123] S617, integrate the perception information and update the authorization information list.

[0124] The core network integrates the perception information and forwards it to third-party applications, etc. At the same time, when the core network receives a request to update the authorization information list, it determines whether an update is required based on the access of new UEs and the mobility of UEs, etc. If an update is required, the UE list and UE location information are updated.

[0125] S618, update the authorization information list.

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

[0127] S619, update the association.

[0128] The CSCU updates the association status, updates the list of associated nodes according to the parsed perception authorization information, generates an associated node distance table according to the location of the object of interest and the list of associated nodes, generates a perception signal-to-noise ratio table according to the historical association list, and selects the first K nodes that meet the perception task requirements according to the distance table and the perception signal-to-noise ratio table according to the weighted algorithm and other algorithms to update the association status of the object of interest and the node. After updating the association status, the CSCU enters the preparation and delivery of the next round of perception services; where K is an integer greater than or equal to 1.

[0129] In an example, this embodiment takes the case where the perception mode field is 1, that is, the perception working mode is TRP side perception and UE assisted perception, as an example to illustrate the communication process based on a cellular-free interawareness integrated architecture. The difference from the above flowchart is that RP side perception + UE assisted perception supports the use of UE's uplink pilot signal to enhance perception.

[0130] S701, same as above S601.

[0131] S702, parse the perception authorization information list.

[0132] 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 1, the TRP authorization information list is the TRP identity that can be used for perception and the corresponding TRP location information, and the UE authorization information list is the UE identity that can be used for perception and the corresponding UE location information.

[0133] S703, initial association.

[0134] The initial association is completed by CSCU. The RRC of CSCU first generates an initial association node list. The perception mode field is 1. The initial association node list is the sum of the TRP authorization information list and the UE authorization information list. A clustering algorithm is used to complete the clustering of available TRP nodes. PDCP generates a unique perception number for each clustering result. The transceiver node status is assigned to each TRP cluster. An optional solution is to assign the TRP at the center of the cluster to the downlink transmission status and other TRPs to the uplink reception status. At the same time, the CSCU queries the UE's communication-associated TRP node list. If the UE-associated TRP node set and the TRP set in the clustering result have an intersection, the UE node information is associated with the cluster set.

[0135] S704, issue the perception service.

[0136] The CSCU sends the perception service to the CSDU. The perception service includes a unique perception number, a TRP authorization information list associated with the perception number and the TRP transceiver status, and a UE authorization information list associated with the perception number.

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

[0138] S713: Report the perception channel estimation result and the uplink pilot channel estimation result.

[0139] The EDU reports the perception channel estimation result to the CSDU. At the same time, the L-SEN of the EDU checks whether the UE in the L-PHY at the same time exists in the perception UE authorization information list. If so, the uplink pilot channel estimation result of the auxiliary UE associated with the unique perception number is reported to the CSDU.

[0140] S714, H-SEN completes the uplink task.

[0141] The uplink task is completed by the H-SEN of the CSDU. The main uplink task of H-SEN is to complete signal-level fusion, parameter estimation and parameter-level fusion by using the perception channel estimation and the uplink pilot channel estimation of the auxiliary UE. Signal-level fusion is to directly fuse the original perception channel to estimate the perception parameters; parameter estimation can complete the estimation of parameters such as delay and speed based on the fused channel and the unfused channel respectively; parameter-level fusion is to determine the perception information such as the position and trajectory of the perception object based on the TRP position and parameter estimation results.

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

[0143] It should be noted that the uplink tasks in the implementation of the present invention include: uplink communication tasks and uplink perception tasks; downlink tasks include: downlink communication tasks and downlink perception tasks. In the case of processing uplink communication tasks and downlink communication tasks, it is necessary to perform task processing based on the corresponding uplink communication related data and downlink communication related data; in the case of processing uplink perception tasks and downlink perception tasks, it is necessary to perform task processing based on the corresponding uplink perception related data and downlink perception related data.

[0144] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0145] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A synaesthesia integrated architecture based on no cellular, characterized in that: include: Transceiver nodes TRP, edge distributed units EDU, synaesthesia distributed units CSDU and synaesthesia centralized units CSCU; Wherein, each of the EDUs is connected to at least one of the TRPs, each of the CSDUs is connected to at least one of the EDUs, and the CSCU is connected to at least one of the CSDUs; The CSCU is used to parse the control plane and user plane data sent by the core network, send them to the CSDU, and report the communication data and perception data of each CSDU to the core network; The CSDU is used to implement the protocol layer scheduling function and related functions of the high-order physical layer and the high-order perception layer in signal processing; The EDU is used to implement the related functions of the low-order physical layer and the low-order perception layer in signal processing; The TRP is used to implement the related functions of receiving and sending radio frequency sensing signals and digital-to-analog / analog-to-digital conversion.

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

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

4. The synaesthesia integrated architecture according to claim 1, characterized in that: The EDU includes a low-order physical layer and a low-order perception layer; wherein the low-order physical layer establishes a connection with the high-order physical layer; and the low-order perception layer establishes a connection with the high-order perception layer; The low-order perception 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 synaesthesia integrated architecture based on a non-cellular system, characterized in that: Applied to the synaesthesia integrated architecture based on no cellular as described in any one of claims 1 to 4; The implementation method includes: When the CSDU receives a perception service initiated by the core network forwarded by the CSCU, the perception service is scheduled through the CSDU to generate a perception data stream, and a high-order perception layer in the CSDU is used to process downlink tasks based on the perception data stream, and the perception data stream is sent down to the EDU; corresponding downlink frequency domain data containing perception data and communication data is generated based on the perception data stream through a low-order perception layer in the EDU, and the downlink frequency domain data is sent down to the TRP; After the TRP completes signal transmission and reception, the TRP reports uplink frequency domain data to the EDU, processes uplink tasks based on the uplink frequency domain data through the low-order perception layer in the EDU, obtains a perception channel estimation result, and reports the perception channel estimation result to the CSDU; The high-order perception layer in the CSDU processes the uplink task based on the perception channel estimation result, generates corresponding perception information, reports the perception information to the CSCU, and reports the perception 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 perception service to the CSCU, receiving and parsing, by the CSCU, a list of perception authorization information associated with the perception service; Among them, 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: Determining, by the CSCU, a perception association between a TRP set associated with a perception data stream and a perception target; wherein the perception association includes: an initial association and an association status update; The implementation process of the initial association includes: when the core network initiates the perception service, the CSCU generates an initial association node list according to the perception 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 transceiver state of each TRP, obtain all TRPs in the downlink transmission state and all TRPs in the uplink reception state, obtain the TRP cluster set associated with the perception target, and generate a corresponding perception number for each TRP cluster set; The implementation process of the association status update includes: when the CSCU receives the perception information reported by the CSDU, generating an association node distance table according to the actual position of the perception target and each TRP in the association node list by the CSCU, and generating a perception signal-to-noise ratio table according to the historical association node list; selecting multiple TRPs that meet the perception service according to the association node distance table and the perception signal-to-noise ratio table, and updating the association node list based on the multiple TRPs that meet the perception service; After the CSCU determines the association between the perception target and the TRP, each of the TRPs 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 a network topology diagram.

8. The implementation method according to claim 5 or 6, characterized in that: The scheduling of the perception service through the CSDU to generate a perception data stream, using a high-order perception layer in the CSDU to process a downlink task based on the perception data stream, and sending the perception data stream to the EDU includes: The enhanced MAC control plane in the CSDU parses the TRP authorization information list corresponding to the perception number and the corresponding TRP transceiver status, and schedules the transmission priority, transmission frequency, transmission interval and available bandwidth of the perception signal based on the communication service quality requirement and the perception delay requirement; the enhanced MAC user plane in the CSDU generates a downlink transmission perception data stream according to the perception number and the perception occupied bandwidth, the perception occupied time and the number of TRPs in the downlink transmission state; The downlink transmission perception data stream is layer-mapped through the high-order perception layer in the CSDU to achieve the correspondence between the perception data stream and the number of TRPs in the downlink transmission state; the perception data stream is sent to the EDU through the high-order perception layer in the CSDU.

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

10. The implementation method according to claim 6, characterized in that: In a case where the perception mode field is a second value, the method further includes: Searching through the low-order perception layer in the EDU whether the user equipment in the associated low-order 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 perception number to the CSDU; The uplink task is performed by using the perception channel estimation result and the uplink pilot channel estimation result through the high-order perception layer in the CSDU.

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