CN-120980708-B - Ultra-low time delay cooperative communication method and system

CN120980708BCN 120980708 BCN120980708 BCN 120980708BCN-120980708-B

Abstract

The invention relates to the technical field of wireless communication and provides an ultra-low time delay cooperative communication method and system, wherein the method comprises the steps of constructing an end-to-end network slicing strategy model comprising a wireless access network, a bearing network and a core network based on a service level protocol; the method comprises the steps of integrating heterogeneous sensing data of a vehicle and a road side, constructing surrounding environment situation sensing data, generating an uplink data packet with a service type identifier, dynamically deciding according to the service type identifier in the uplink data packet, triggering a collaborative scheduling logic mechanism, completing end-to-end transmission in each network domain, outputting a multi-access edge computing data packet, analyzing the multi-access edge computing data packet in real time, generating a final control instruction or early warning information, and completing closed loop issuing through a downlink. The invention cooperatively integrates the end-to-end network resource hard isolation and the cloud edge end integrated cooperative intelligence to construct a full-flow deterministic service system from multi-source sensing, communication guarantee, cooperative decision-making to closed-loop control.

Inventors

SHENG XIAOFEI
SHEN DI
REN PENG
BAI HAIMING
HE WENHAO

Assignees

芜湖辛巴网络科技有限公司

Dates

Publication Date: 20260505
Application Date: 20250812

Claims (7)

1. An ultra-low latency cooperative communication method is characterized by comprising the following steps: Generating slice configuration data of three network domains of a wireless access network, a bearing network and a core network based on key fields of a service level protocol, integrating the slice configuration data, constructing an end-to-end slice strategy model, calling an end-to-end consistency verification function to verify the bandwidth continuity and the time delay compliance of the end-to-end slice strategy model, activating the end-to-end slice strategy model if the verification is passed, and refusing and triggering an alarm mechanism if the verification is passed; Collecting vehicle-mounted state data and road side environment data, fusing the vehicle-mounted state data and the road side environment data, constructing surrounding environment situation awareness data, determining service load based on the surrounding environment situation awareness data, generating a service type identifier according to service load identification, and packaging a network protocol header, the service load and metadata attached with the service type identifier to form an uplink data packet; Based on the service type identifier in the uplink data packet, retrieving a slice identifier and a service quality grade identifier in an end-to-end slice strategy model, and packaging to generate a data packet with a marked slice strategy; according to the scheduling decision and the air interface resource allocation, the data packet of the marked slicing strategy is driven to finish end-to-end transmission in a wireless access network, a bearing network and a core network in sequence, and a multi-access edge computing data packet is generated and output; Analyzing a received uplink data packet, extracting a service type identifier, taking the service type identifier as a query index, searching in an end-to-end slicing strategy model, acquiring a slicing identifier and a quality of service grade identifier associated with the slicing identifier, attaching the slicing identifier and the quality of service grade identifier to the uplink data packet, and packaging to generate a data packet with a marked slicing strategy; triggering according to a preset collaborative scheduling logic mechanism according to a service quality grade identifier in a data packet with a marked slicing strategy, generating a scheduling decision and air interface resource allocation, and activating a Grant-Free scheduling-Free mechanism if the service quality grade identifier corresponds to the highest service priority, and activating an intelligent uplink pre-scheduling mechanism if the service quality grade identifier corresponds to a time delay sensitive service and is not the highest service priority; According to the scheduling decision and the air interface resource allocation, the vehicle-mounted terminal transmits the data packet with marked slicing strategy to the base station through the reserved physical resource block in the wireless network access network, wherein the data packet is routed to a dedicated flexible Ethernet hard pipeline according to the slicing identifier carried by the data packet in the bearing network and is guided to a virtual forwarding instance on the user plane of the core network to generate and output a multi-access edge computing data packet; The method comprises the steps of analyzing a multi-access edge calculation data packet in real time, generating a local decision result and global analysis data, constructing a traffic digital twin model based on the global analysis data, predicting by utilizing a large-scale machine learning model, activating an operational research optimization algorithm engine to carry out simulation deduction, packaging the traffic digital twin model into a global optimization strategy, fusing the local decision result and the global optimization strategy according to preset fusion logic, generating a final control instruction or early warning information, and sending the final control instruction or early warning information to a target vehicle or road side facility.
2. The method for constructing an ultra-low latency cooperative communication according to claim 1, wherein the method for constructing an end-to-end slicing strategy model comprises: Determining a service quality grade identifier based on the maximum time delay and the service priority in a service grade protocol, and calculating the reserved quantity of physical resource blocks by combining the minimum guaranteed broadband and modulation coding scheme in the service grade protocol, so as to integrally generate and issue wireless access network layer slice configuration data to a base station; Based on the reserved quantity of physical resource blocks in the slice configuration data of the wireless access network layer, calculating the actual configuration broadband in the wireless access network; the method comprises the steps of obtaining the actual configuration broadband, calculating the number of flexible Ethernet time slots required by broadband transmission according to the actual configuration broadband, and further confirming the guaranteed broadband in a bearing network; The method comprises the steps of constructing a virtual forwarding instance bound with a path service quality policy set based on the association analysis of bearer network slice configuration data and a service level protocol, packaging the path service quality policy set and the virtual forwarding instance into N4 session rules through a session management function in a control plane function, issuing the N4 session rules to an edge user plane function through an N4 interface, and integrating and generating core network slice configuration data; and integrating the wireless access network layer slice configuration data, the carrier network slice configuration data and the core network slice configuration data to construct an end-to-end slice strategy model.
3. The method for ultra-low latency collaborative communication according to claim 2, wherein the method for verifying validity of the guaranteed wideband sum and the bearer limit of the physical link is to guarantee that the wideband sum does not exceed the bearer limit of the physical link.
4. The method for collaborative communication with ultra-low latency according to claim 2, wherein the method for verifying the end-to-end consistency verification function from bandwidth continuity and latency compliance includes the steps of guaranteeing a wideband value of the radio access network to be less than or equal to a guaranteed wideband value of the carrier network, and summing estimated latency values of all network domains to be less than or equal to a maximum latency of a network slice.
5. The method for cooperative communication with ultra-low latency according to claim 1, wherein the method for constructing the uplink data packet comprises: Acquiring an original sensor data stream in real time by utilizing a multi-mode sensor system carried by a vehicle-mounted terminal, and processing the original sensor data stream in real time by a vehicle-mounted unit to generate structured vehicle-mounted state data; Collecting an original environment data stream by using road side sensing equipment fixedly arranged on a road infrastructure, and carrying out real-time deep analysis processing on the original environment data stream by combining a deep learning model to generate road side environment data; and merging the vehicle-mounted state data and the road side environment data, constructing surrounding environment situation awareness data, generating a service load according to the surrounding environment situation awareness data, identifying the service type of the service load, determining a service type identifier, and packaging a network protocol header, the service load and metadata carrying the service type identifier to form an uplink data packet to be transmitted.
6. The ultra-low latency cooperative communication method according to claim 1, wherein the final control instruction or early warning information generating method comprises: Based on the multi-access edge calculation data packet, calling a local real-time analysis engine, performing deep analysis on the vehicle-mounted state data and road side environment data in the data packet load, and outputting a local decision result and global analysis data; constructing a traffic digital twin model based on global analysis data, analyzing the traffic digital twin model by utilizing a large-scale machine learning model, predicting potential macroscopic traffic problems, activating an operational research optimization algorithm engine based on the traffic problems, solving an optimal strategy and packaging the optimal strategy into a global optimization strategy; And fusing a local decision result and a global optimization strategy through a fusion process, generating a final control instruction or early warning information, and sending the final control instruction or early warning information to a target vehicle or road side facility, wherein the fusion process follows a preset fusion logic, if the priority of the local decision result is critical, the local decision result is preferentially adopted, otherwise, the global optimization strategy is taken as a decision basis.
7. An ultra-low latency cooperative communication system for implementing the ultra-low latency cooperative communication method of any of claims 1-6, characterized by comprising a network domain slice configuration module, a vehicle-mounted and drive test data fusion module, an uplink data transmission module and a decision and closed loop control module; The network domain slice configuration module generates slice configuration data of three network domains of a wireless access network, a bearing network and a core network based on key fields of a service level protocol, integrates the slice configuration data and constructs an end-to-end slice strategy model, calls an end-to-end consistency verification function to verify the bandwidth continuity and the time delay compliance of the end-to-end slice strategy model, activates the end-to-end slice strategy model if the verification is passed, and refuses and triggers an alarm mechanism if the verification is passed; The vehicle-mounted and road test data fusion module is used for collecting vehicle-mounted state data and road side environment data, fusing the vehicle-mounted state data and the road side environment data, constructing surrounding environment situation awareness data, determining service load based on the surrounding environment situation awareness data, generating a service type identifier according to service load identification, and packaging a network protocol header, the service load and metadata attached with the service type identifier to form an uplink data packet; the uplink data transmission module searches a slice identifier and a service quality grade identifier in an end-to-end slice strategy model based on a service type identifier in an uplink data packet, encapsulates the service quality grade identifier to generate a data packet of a marked slice strategy, triggers a preset cooperative scheduling logic mechanism according to the data packet of the marked slice strategy to generate a scheduling decision and air interface resource allocation, and drives the data packet of the marked slice strategy to finish end-to-end transmission in a wireless access network, a bearing network and a core network in sequence according to the scheduling decision and the air interface resource allocation to generate and output a multi-access edge calculation data packet; The decision and closed-loop control module analyzes the multi-access edge calculation data packet in real time to generate a local decision result and global analysis data, constructs a traffic digital twin model based on the global analysis data, predicts by utilizing a large-scale machine learning model, activates an operation research optimization algorithm engine to carry out simulation deduction, encapsulates the traffic digital twin model into a global optimization strategy, fuses the local decision result and the global optimization strategy according to preset fusion logic, generates a final control instruction or early warning information and sends the final control instruction or early warning information to a target vehicle or road side facility.

Description

Ultra-low time delay cooperative communication method and system Technical Field The invention relates to the technical field of wireless communication, in particular to an ultra-low time delay cooperative communication method and system. Background With the rapid development of the internet of vehicles and the automatic driving technology in the fields of intelligent transportation, logistics transportation, public safety and the like, the ultra-low time delay and high-reliability communication from end to end become the core technology for guaranteeing the driving safety and the traffic efficiency. How to provide deterministic service quality guarantee for delay sensitive services such as automatic driving and remote control in a complex communication environment crossing multiple network domains becomes an important subject to be solved in the application process of 5G network deep enabling Internet of vehicles. The Chinese patent application with the publication number of CN120321793A provides a VDSL ultra-low time delay communication method and a VDSL ultra-low time delay communication system, wherein the method comprises the steps of encrypting a clock synchronization channel through a quantum key distribution protocol, dynamically dividing micro-time slot resources in an orthogonal frequency division multiplexing symbol period, generating a dynamic adjustment micro-time slot resource distribution result, calculating an optimal phase shift matrix of an ultra-surface intelligent reflecting surface through a depth deterministic strategy gradient algorithm to obtain an optimized electromagnetic wave propagation path, generating a global optimization check matrix through aggregating lightweight error correction model gradients trained locally by each node to obtain a compensated data stream, constructing a causal graph model dynamic pruning high entropy path to minimize causal entropy, and obtaining an optimized stable communication link through multi-agent reinforcement learning by taking time delay-energy efficiency as a game target decision optimal modulation order and a subcarrier switching strategy. However, the current technology still faces many challenges. The communication path of the internet of vehicles spans a plurality of network domains which are interlinked and are mutually buckled, such as a wireless access network, a bearing network, a core network processing and the like, but the prior art is often limited to local optimization of a single link, so that a guarantee mechanism capable of carrying out end-to-end cooperation on resources of each network domain and application layer requirements is lacking, time delay bottlenecks possibly occur randomly in links which are not cooperatively optimized, such as the bearing network, the core network and the like, and safety-critical services, such as remote driving, motorcade cooperation and the like, cannot obtain deterministic time delay guarantee of the whole process, thereby bringing huge driving safety risks and industrial landing barriers. Disclosure of Invention In order to achieve the above purpose, the invention provides an ultra-low time delay cooperative communication method, which comprises the following specific technical scheme: Based on service level agreements Generating slice configuration data of three network domains of a wireless access network, a bearing network and a core network, integrating the slice configuration data, constructing an end-to-end slice strategy model P E2E, calling an end-to-end consistency verification function Verify (ID i) to Verify the bandwidth continuity and the time delay compliance of the end-to-end slice strategy model P E2E, and activating the end-to-end slice strategy model P E2E if the verification is passed, otherwise, refusing and triggering an alarm mechanism; Collecting vehicle-mounted state data And road side environmental dataFusing the vehicle-mounted state dataAnd road side environmental dataBuilding surrounding environment situation awareness data, determining a service load Payload based on the surrounding environment situation awareness data, and generating a service type identifier according to service load Payload identificationHeader of network protocol, payload of said traffic and identifier of incidental traffic typeMetadata Matadata of the data packet, forming an upstream packet P Uplink; Based on the traffic type identifier in the upstream packet P UplinkRetrieving the slice identifier ID i and the quality of service class identifier QCI i in the end-to-end slice policy model P E2E, encapsulating the data packets to generate marked slice policiesData packets according to the marked slicing strategyTriggering a preset cooperative scheduling logic mechanism to generate a scheduling decision M sched and an air interface resource allocation R alloc, and driving the data packet of the marked slicing strategy according to the scheduling decision M sched and the air interface resourc