Cellular and wifi network aggregation communication system and method for intelligent vehicles

Abstract

The application discloses a kind of cellular and WiFi network aggregation communication systems and methods of intelligent vehicle, it is related to vehicle networking communication technical field.The system includes information entertainment controller IVI and remote communication controller TBOX, two by Ethernet or USB connection, and respectively integrate WiFi communication module and cellular communication module;Controller is embedded in perception monitoring and routing decision module, dynamic routing protocol module and data forwarding module.The application calculates the priority of WiFi link and cellular link by collecting network quality parameters and vehicle state information, adjusts default route using dynamic routing protocol to realize intelligent link selection, and optimizes traffic distribution combined with service type.The application realizes the intelligent switching and load balancing of double link based on scene perception, has the advantages such as seamless switching, reduces cellular charges, improves network reliability and deployment flexibility.

Description

Technical Field

[0001] This invention relates to the field of intelligent connected vehicle communication technology, specifically to a cellular and WiFi network aggregation communication system and method for intelligent vehicles. Background Technology

[0002] With the rapid development of intelligent connected vehicles, the demand for network connectivity is increasing, covering various scenarios throughout the vehicle's entire lifecycle, such as software flashing during the factory production stage, network activation and registration during the sales stage, remote vehicle control, OTA upgrades, remote diagnostics, and navigation map updates during the usage stage, as well as battery health data collection and software security patch updates during the after-sales maintenance stage.

[0003] Currently, vehicles primarily rely on cellular networks such as 4G / 5G provided by the onboard remote communication controller (TBOX) for external communication. However, when vehicles are in manufacturing, repair, or parking scenarios such as factories or after-sales service stations, WiFi networks typically offer higher bandwidth, lower costs, and better signal quality. In models without a TBOX, WiFi is often the only way to connect to the internet. On the other hand, cellular networks have a clear advantage when vehicles are in motion or in areas without WiFi coverage.

[0004] Publication No. (CN219919183U) discloses an in-vehicle routing device, which includes a switch module, a first communication module, and a second communication module. The switch module is connected to multiple vehicle networking devices, the first communication module is connected to the switch module, and the second communication module is connected to the switch module. The second communication module and the first communication module are connected via a heartbeat line. The first communication module and the second communication module switch between each other using a virtual routing redundancy protocol. By setting up dual communication modules, redundancy backup between multiple routers in the same subnet is achieved, thereby avoiding network unavailability due to single point of failure.

[0005] However, this solution primarily focuses on the primary / backup redundancy switching of the dual communication modules. Its core lies in achieving backup switching during link failures through heartbeat detection and virtual routing redundancy protocols. It does not consider the real-time quality differences between different network links, the impact of vehicle driving status on network selection, or achieve traffic optimization allocation based on service type. This means that even when WiFi is available and of good quality, the lack of a dynamic perception mechanism may prevent the full utilization of free WiFi resources, and the issue of cellular network cost consumption remains unresolved. In existing technologies, vehicles typically use the cellular network of the TBOX and the WiFi network of the in-vehicle infotainment controller (IVI) as independent communication channels. This results in issues such as channel isolation, limited WiFi network accessibility for other in-vehicle controllers, and default binding of services to cellular traffic, making it difficult to meet the complex and ever-changing needs of vehicle networking scenarios. Summary of the Invention

[0006] The purpose of this invention is to solve the problem that vehicle cellular networks and WiFi networks are independent and cannot cooperate in the prior art, and to provide a cellular and WiFi network aggregation communication system and method for intelligent vehicles, so as to realize dual-link intelligent switching and load balancing based on scene perception and network quality, thereby improving network reliability, bandwidth utilization and user experience.

[0007] To achieve the above objectives, the present invention adopts the following technical solution: A cellular and WiFi network aggregation communication system for intelligent vehicles includes: an infotainment controller (IVI) and a remote communication controller (TBOX); the IVI integrates a WiFi communication module; the TBOX integrates a cellular communication module; the IVI and TBOX are connected via an Ethernet interface or a USB interface; the IVI and TBOX are connected to the vehicle's CAN bus signal to obtain vehicle status information.

[0008] Furthermore, the infotainment controller (IVI) and the telecom controller (TBOX) can collect network quality parameters and vehicle status information, calculate the link priorities of WiFi and cellular communication links based on the network quality parameters and vehicle status information, and adjust the default route according to the link priorities through a dynamic routing protocol to select the communication link for packet forwarding.

[0009] Furthermore, the infotainment controller (IVI) and the remote communication controller (TBOX) are equipped with a perception monitoring and routing decision module, a dynamic routing protocol module, and a data forwarding module. The perception monitoring and routing decision module collects network quality parameters and vehicle status information, and calculates link priorities based on the network quality parameters and vehicle status information. The dynamic routing protocol module adjusts the default route according to the link priorities. The data forwarding module performs network address translation during communication link switching.

[0010] Furthermore, the network quality parameters include signal strength, bandwidth, latency, and packet loss rate; the vehicle status information includes vehicle speed, gear position, and vehicle parking status.

[0011] This invention also provides a method for cellular and WiFi network aggregation communication in intelligent vehicles, comprising the following steps: Step S1: After the vehicle is powered on, the infotainment controller IVI scans and connects to the WiFi network, and the remote communication controller TBOX scans and connects to the cellular network; Step S2: Collect network quality parameters and vehicle status information; Step S3: Calculate the link priority of WiFi communication link and cellular communication link based on network quality parameters and vehicle status information; Step S4: Based on link priority, announce the default route through the dynamic routing protocol module to determine the link currently used for vehicle external communication; Step S5: Based on the service type, allocate the traffic of different services to the corresponding communication links for transmission.

[0012] Furthermore, the calculation of link priority in step S3 is based on: connectivity, signal strength score, bandwidth score, delay score, packet loss rate score, gear position data, and vehicle speed data. Specifically, the link cost value Cost can be calculated using a weighted summation method, for example: Cost = α·S + β·B + γ·D + δ·L + ε·V + ζ·G, where S is the signal strength score, B is the bandwidth score, D is the delay score, L is the packet loss rate score, V is the vehicle speed influence factor, and G is the gear position influence factor; α, β, γ, δ, ε, and ζ are preset weighting coefficients.

[0013] Furthermore, the method of allocating traffic according to service type in step S5 includes: for services with higher stability requirements than bandwidth requirements, the traffic is allocated to the cellular communication link for transmission; for services with higher bandwidth requirements than stability requirements, the traffic is preferentially allocated to the WiFi communication link for transmission, and when the bandwidth of the WiFi communication link is lower than a preset threshold, the traffic is switched to the cellular communication link for transmission.

[0014] Furthermore, the dynamic routing switch in step S4 is performed at the network layer and is transparent to upper-layer applications; when the communication link being used fails or the signal quality is lower than the preset standard, the data traffic is switched to another communication link.

[0015] Furthermore, this method also includes: storing the correspondence between service traffic characteristics and communication links in a forwarding policy library; and determining the corresponding communication link by matching the forwarding policy library according to the traffic characteristics of the current service during subsequent communication.

[0016] Compared with traditional solutions, the present invention has the following advantages: (1) The present invention collects network quality and vehicle status in real time through the perception monitoring and routing decision module, calculates link priority in a comprehensive manner, and the dynamic routing protocol module selects the optimal exit accordingly. The decision is scientific and overcomes the limitations of a single network or simple binding.

[0017] (2) Dynamic routing switching occurs at the network layer and is transparent to upper-layer applications, ensuring the continuity of real-time services such as online navigation, video streaming, and remote diagnostics; when any link fails, the routing protocol converges quickly and automatically switches to an available link, enhancing network robustness.

[0018] (3) The whole vehicle controller can share WiFi network, effectively utilize free WiFi resources in factories, homes, service stations and other scenarios, and reduce cellular data consumption; at the same time, it supports providing network to vehicles through mobile hotspots, which is flexible and economical.

[0019] (4) The two links serve as backups for each other. When one signal is lost or fails, the dynamic routing protocol automatically redirects all traffic to the other link to ensure that critical services are not interrupted, which greatly enhances the robustness of the network.

[0020] (5) This invention is mainly achieved by upgrading the software of the infotainment controller IVI and the remote communication controller TBOX. It does not require significant changes to the existing vehicle hardware architecture, is low in cost, and is easy to promote. Attached Figure Description

[0021] This manual includes the following figures, which illustrate the following: Figure 1 This is a hardware block diagram of the intelligent vehicle's cellular and WiFi network aggregation communication system of the present invention. Figure 2 This is an overall flowchart of the cellular and WiFi network aggregation communication method for intelligent vehicles according to the present invention. Detailed Implementation

[0022] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings, in order to help those skilled in the art to have a more complete, accurate and in-depth understanding of the inventive concept and technical solution of the present invention, and to facilitate its implementation.

[0023] like Figure 1 The diagram illustrates a cellular and WiFi network aggregation communication system for an intelligent vehicle, as provided in an embodiment of the present invention. The system comprises an infotainment controller (IVI) and a telecom controller (TBOX).

[0024] The infotainment system (IVI) is the core control unit in the vehicle's cockpit domain. It integrates a WiFi communication module, supports the 802.11 protocol suite, and can scan for and connect to external WiFi networks, such as home garage WiFi, factory service station WiFi, and user mobile hotspots. The telematics controller (TBOX) is the core unit for vehicle telematics processing. It integrates a cellular communication module, supports 3G, 4G, and 5G mobile communication standards, and can connect to operator cellular base stations as a cellular access point, enabling remote communication between the vehicle and cloud servers.

[0025] The infotainment controller (IVI) and the telecom controller (TBOX) are physically connected via an Ethernet or USB interface, enabling bidirectional high-speed data communication. This allows the two controllers to share network resources. Simultaneously, both the IVI and TBOX are connected to the vehicle's CAN bus signal, acquiring real-time vehicle status information via the CAN bus, including but not limited to vehicle speed, gear position, and parking status.

[0026] The infotainment controller (IVI) and the telematics controller (TBOX) embed three core software modules: a perception and monitoring and routing decision module, a dynamic routing protocol module, and a data forwarding module. These three modules can be deployed on one controller or distributed across two controllers, depending on the vehicle's network architecture and computing power allocation strategy.

[0027] The perception monitoring and routing decision module is responsible for collecting network quality parameters and vehicle status information in real time. Network quality parameters include RSSI signal strength, available bandwidth, communication latency, and packet loss rate for both WiFi and cellular links; vehicle status information includes vehicle speed, gear position, and parking status read from the CAN bus. This module periodically collects the above data and calculates the priority of two links according to a preset link priority algorithm, typically represented by a link cost value (Cost). A lower Cost value indicates a higher link priority. The calculated Cost value is then passed to the dynamic routing protocol module.

[0028] The dynamic routing protocol module employs dynamic routing protocols such as RIP, OSPF, or lightweight routing protocols optimized for in-vehicle environments for routing decisions. Based on the WiFi link cost and cellular link cost values ​​provided by the perception monitoring and routing decision module, this module dynamically adjusts the default routing table entries in the infotainment controller (IVI) and the telecom controller (TBOX). For example, when the WiFi link cost is less than the cellular link cost, the default route points to the IVI's WiFi exit; otherwise, it points to the TBOX's cellular exit. This dynamic routing protocol enables link switching to be completed automatically at the network layer without upper-layer application intervention, achieving seamless switching transparent to applications.

[0029] The data forwarding module is responsible for performing network address translation during link switching, ensuring that data packets from various in-vehicle controllers, such as the instrument cluster controller, cockpit domain controller, and autonomous driving domain controller, can smoothly switch exits and maintain communication continuity. When the default route switches from one link to another, the data forwarding module automatically updates the network address translation mapping table to achieve seamless switching between dual network IPs.

[0030] Based on the above system, embodiments of the present invention provide a method for cellular and WiFi network aggregation communication in intelligent vehicles. For example...Figure 2 As shown, the method includes the following steps.

[0031] Step S1: After the vehicle is powered on, the system initiates the network initialization process. The infotainment controller (IVI)'s WiFi communication module automatically scans for available WiFi networks in the vicinity. The scan results include information such as SSID, signal strength, and encryption method. The IVI will prioritize trying to connect to a saved trusted WiFi network, such as a user-preset home WiFi, company WiFi, or authorized WiFi at a factory or service station. If multiple trusted networks exist, it will select the one with the strongest signal strength for connection; if no trusted network exists, it will remain in a pending connection state or automatically connect to an open WiFi network according to the user's configuration. Simultaneously, the telecom controller (TBOX)'s cellular communication module automatically scans and connects to the operator's cellular network, selecting the optimal available network to attach to based on the SIM card subscription information, obtaining an IP address, and establishing a data connection. If a link, such as WiFi, is temporarily unavailable, the cellular link can still function normally. The system has the ability to operate independently on a single link, without affecting the vehicle's basic network connectivity functions.

[0032] Step S2: After network initialization, the perception monitoring and routing decision module continuously collects network quality parameters and vehicle status information at a preset frequency to ensure the real-time performance and accuracy of routing decisions. In collecting network quality parameters, the module obtains real-time signal strength RSSI by reading the underlying drivers of the WiFi and cellular modules to quantify the signal coverage of the two links. For available bandwidth, the module can estimate it by actively sending probe packets. For example, in this embodiment, a lightweight bandwidth testing method is used to measure network throughput by sending a small number of UDP probe packets. Historical traffic statistics can also be combined to assist in bandwidth estimation. Latency is measured by sending ICMP echo request packets to a fixed target server or operator gateway, and the round-trip time is recorded and calculated. The average of multiple measurements is taken to eliminate the impact of transient fluctuations. Packet loss rate is estimated based on the packet loss statistics in the ICMP test, or indirectly obtained by analyzing the retransmission rate of TCP connections. Regarding vehicle status information acquisition, the module maintains a signal connection with the vehicle's CAN bus, acquiring real-time vehicle speed data by reading signals sent by the ABS or ESC controller; it obtains gear information, specifically P, R, N, and D, by reading status signals sent by the transmission controller or shift controller; the parking status can be determined directly by reading the electronic parking brake status signal, or by a comprehensive judgment based on gear and vehicle speed. For example, when the vehicle is in P gear and the speed is zero, the system determines it to be in a parking state. All of the above acquisition processes are continuous.

[0033] Step S3: The perception monitoring and routing decision module calculates the priorities of the WiFi link and the cellular link based on the data collected in step S2. In this embodiment, the priority is represented by the link cost value (Cost). The smaller the Cost value, the higher the link priority, and the more suitable it is as the default route exit. The formula for calculating the Cost value is as follows: Cost = α·S + β·B + γ·D + δ·L + ε·V + ζ·G, where S is the signal strength score, B is the bandwidth score, D is the delay score, L is the packet loss rate score, V is the vehicle speed influence factor, and G is the gear influence factor; α, β, γ, δ, ε, and ζ are preset weighting coefficients used to balance the weights of each factor. In this embodiment, these coefficients can be set based on the actual vehicle calibration results. The weighting coefficients can be dynamically adjusted according to different vehicle models and user preferences. After calculation, the perception monitoring and routing decision module sends the Cost values ​​of the WiFi link and cellular link to the dynamic routing protocol module.

[0034] Step S4: Based on the Cost values ​​of the two links calculated in Step S3, the dynamic routing protocol module announces the default route through the dynamic routing protocol to determine the link currently used for vehicle external communication. The dynamic routing protocol module runs on the infotainment controller (IVI) and the telecom controller (TBOX). The two nodes exchange routing information through the Ethernet or USB connection established in Step S1. Assuming the calculated WiFi link Cost value is 15 and the cellular link Cost value is 25, the WiFi link has higher priority. The dynamic routing protocol module generates a default route pointing to the WiFi exit of the infotainment controller (IVI) and announces this default route to the TBOX and other network nodes in the vehicle through the routing protocol. Conversely, if the cellular link Cost value is lower, the default route points to the cellular exit of the TBOX.

[0035] Dynamic route switching occurs at the network layer and is completely transparent to upper-layer applications. When a vehicle switches from parked to driving mode, the dynamic routing protocol module automatically updates the default route, but ongoing TCP connections such as online music playback and navigation sessions are not interrupted.

[0036] Step S5: The system predefines different service types and their traffic characteristics and stores them in the forwarding policy library. This policy library can be stored in non-volatile memory in the form of a data table and supports dynamic updates. For services with high stability requirements, such as emergency calls, vehicle fault data uploads, and remote diagnostic commands, cellular links are forced to be used even if WiFi link quality is better to ensure reliable delivery of critical commands. For services with high bandwidth requirements, such as high-definition video playback, map data downloads, and OTA full upgrade package downloads, WiFi links are used first to save cellular traffic. At the same time, when the available bandwidth of the WiFi link is detected to be lower than a preset threshold in real time, the system automatically switches to the cellular link to ensure user experience. For ordinary services such as web browsing and instant messaging, the system defaults to the default route and no special processing is required. When any controller in the vehicle sends a data packet, the data forwarding module matches the forwarding policy library according to the five-tuple information of the data packet. If a policy is matched, the packet is forwarded according to the exit specified by the policy; otherwise, it is forwarded according to the default route.

[0037] In a parking scenario where the vehicle is in P gear and at zero speed, the infotainment controller scans and successfully connects to the home Wi-Fi network. At this time, the Wi-Fi signal strength is good, bandwidth is sufficient, and latency is low. Meanwhile, the remote communication controller connects to the 4G network, which typically has limited bandwidth and higher latency. After collecting data, the perception and monitoring module calculates that the Wi-Fi link cost is significantly lower than the cellular link cost. Therefore, the dynamic routing protocol defaults to the Wi-Fi exit, and all network traffic for all controllers in the vehicle is transmitted via Wi-Fi. High-bandwidth services such as map updates and video playback do not consume cellular data. If a user initiates a remote diagnostic request, the forwarding policy library identifies this as a high-stability service and forces the use of the cellular link for transmission, ensuring that diagnostic commands are reliably delivered to the cloud.

[0038] In a dynamic transition scenario where the vehicle exits the garage, the vehicle's speed gradually increases after starting, and the WiFi signal gradually weakens until it is completely disconnected as the distance increases. The sensing and monitoring module detects the continuous decline in WiFi signal strength, causing its link cost value (Cost) to gradually increase, while the cellular link cost value (Cost) remains relatively stable. When the cellular link cost value (Cost) falls below the WiFi link cost value (Cost), the dynamic routing protocol automatically switches the default route to the cellular exit. Because the switch occurs at the network layer, ongoing online music playback and navigation sessions are not interrupted. Even after the WiFi signal is completely disconnected, the system maintains network connectivity via cellular connections.

[0039] In a service switching scenario where WiFi bandwidth is insufficient, a vehicle downloads a full OTA upgrade package at a service station, initially via WiFi. Simultaneously, high-definition video playback occurs inside the vehicle, causing the available WiFi bandwidth to drop below a preset threshold. The data forwarding module detects that the bandwidth requirements of the OTA download service cannot be met and, based on the forwarding policy library, switches the OTA download traffic to the higher-bandwidth cellular link, while the video stream remains on the WiFi link.

[0040] This embodiment achieves deep integration and intelligent aggregation of vehicle cellular networks and WiFi networks through the above technical solution, yielding significant technical results in practical applications. Firstly, in a parking scenario, when the vehicle is in P gear and at zero speed, the system identifies the parking status through the perception and monitoring module. Combined with the condition of good WiFi signal quality, it directs the default route to the WiFi exit, ensuring that all network traffic for in-vehicle controllers is transmitted via WiFi. This allows high-traffic services such as map updates, video playback, and OTA downloads to fully utilize free WiFi resources, thereby significantly reducing cellular network cost consumption. Actual measurements show a reduction of over 80% in cellular traffic.

[0041] Secondly, in driving scenarios, when a vehicle leaves the garage and the WiFi signal gradually weakens until it is disconnected, the system monitors the changes in link quality in real time, dynamically calculates the link priority, and automatically switches the default route from WiFi to cellular. Since the switching occurs at the network layer and is completely transparent to upper-layer applications, ongoing real-time services such as online music playback and navigation sessions are not interrupted, and users are unaware of the switching, achieving a truly seamless switching experience.

[0042] Furthermore, in scenarios with insufficient WiFi bandwidth, such as when simultaneous OTA downloads and high-definition video playback within a service station cause WiFi congestion, the system uses a service adaptation optimization mechanism to identify high-bandwidth-demand OTA download services and switch them to the cellular link, while retaining the video stream on the WiFi link. This achieves refined traffic distribution based on service type, ensuring the transmission speed of critical services while optimizing the overall network resource utilization efficiency. When any communication link fails due to signal loss or equipment malfunction, the dynamic routing protocol can quickly detect changes in link status and complete route convergence within seconds or even milliseconds, automatically switching all traffic to another available link. This ensures reliable transmission of services with high stability requirements, such as emergency calls and remote diagnostics, greatly enhancing the robustness of the vehicle network.

[0043] Finally, this embodiment is entirely based on the vehicle's existing infotainment controller (IVI) and remote communication controller (TBOX), without the need for additional dedicated hardware. The main improvement lies in the deployment of the software modules, which can be achieved through OTA remote upgrades or flashing at after-sales service stations. It has significant advantages such as flexible deployment, low upgrade costs, and ease of promotion.

[0044] The present invention has been described above by way of example with reference to the accompanying drawings. Obviously, the specific implementation of the present invention is not limited to the above-described manner. Any non-substantial improvements made using the inventive concept and technical solution; or the direct application of the inventive concept and technical solution to other situations without modification, are all within the protection scope of the present invention.

Claims

1. A cellular and WiFi network aggregation communication system for intelligent vehicles, characterized in that, include: The system includes an infotainment controller (IVI) and a remote communication controller (TBOX). The IVI integrates a WiFi communication module, and the TBOX integrates a cellular communication module. The IVI and TBOX are connected via an Ethernet or USB interface and are connected to the vehicle's CAN bus signal to obtain vehicle status information.

2. The cellular and WiFi network aggregation communication system for intelligent vehicles according to claim 1, characterized in that, The infotainment controller (IVI) and the remote communication controller (TBOX) can collect network quality parameters and vehicle status information, calculate the link priority of WiFi communication links and cellular communication links based on the network quality parameters and vehicle status information, and adjust the default route through a dynamic routing protocol according to the link priority to select communication links for data packet forwarding.

3. The cellular and WiFi network aggregation communication system for intelligent vehicles according to claim 1 or 2, characterized in that, The infotainment controller (IVI) and the telecom controller (TBOX) are equipped with a perception monitoring and routing decision module, a dynamic routing protocol module, and a data forwarding module; the perception monitoring and routing decision module collects the network quality parameters and vehicle status information, and calculates the link priority based on the network quality parameters and vehicle status information; The dynamic routing protocol module adjusts the default route according to the link priority; The data forwarding module performs network address translation during the communication link switching process.

4. The cellular and WiFi network aggregation communication system for intelligent vehicles according to claim 3, characterized in that, The network quality parameters include signal strength, bandwidth, latency, and packet loss rate; the vehicle status information includes vehicle speed, gear, and vehicle parking status.

5. A communication method for a cellular and WiFi network aggregation communication system for an intelligent vehicle according to any one of claims 1 to 4, characterized in that, Includes the following steps: Step S1: After the vehicle is powered on, the infotainment controller (IVI) scans for and connects to the WiFi network, and the remote communication controller (TOBX) scans for and connects to the cellular network; Step S2: Collect network quality parameters and vehicle status information; Step S3: Calculate the link priority of WiFi communication link and cellular communication link based on the network quality parameters and vehicle status information; Step S4: Based on the link priority, announce the default route through the dynamic routing protocol module to determine the link currently used for vehicle external communication; Step S5: Based on the service type, allocate the traffic of different services to the corresponding communication links for transmission.

6. The cellular and WiFi network aggregation communication method for intelligent vehicles according to claim 5, characterized in that, The calculation of link priority in step S3 is based on the following criteria: connectivity, signal strength score, bandwidth score, delay score, packet loss rate score, gear data, and vehicle speed data.

7. The cellular and WiFi network aggregation communication method for intelligent vehicles according to claim 5, characterized in that, The method of allocating traffic according to service type in step S5 includes: for services with higher stability requirements than bandwidth requirements, the traffic is allocated to the cellular communication link for transmission; for services with higher bandwidth requirements than stability requirements, the traffic is preferentially allocated to the WiFi communication link for transmission, and when the bandwidth of the WiFi communication link is lower than a preset threshold, the traffic is switched to the cellular communication link for transmission.

8. The method for cellular and WiFi network aggregation communication in intelligent vehicles according to claim 5, characterized in that, In step S4, the dynamic routing switch is performed at the network layer and is transparent to upper-layer applications. When the communication link being used fails or the signal quality is lower than the preset standard, the data traffic is switched to another communication link.

9. The cellular and WiFi network aggregation communication method for intelligent vehicles according to claim 5, characterized in that, It also includes: storing the correspondence between service traffic characteristics and communication links in a forwarding policy library; and determining the corresponding communication link by matching the forwarding policy library according to the traffic characteristics of the current service during subsequent communication.

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