Vehicle mobile communication network management method and system, vehicle and storage medium
By dynamically calculating the network health index and interactive activity, and adjusting the in-vehicle service priority based on multi-dimensional weight coefficients, the problems of user behavior response delay and low resource utilization in the in-vehicle network are solved, and efficient bandwidth resource allocation and user experience optimization are achieved.
Patent Information
- Application Number
- CN202511109201.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-08
- Publication Date
- 2025-09-16
AI Technical Summary
Existing in-vehicle network bandwidth management solutions suffer from problems such as a lack of responsiveness to user behavior, poor adaptability to network fluctuations, and low resource utilization. In particular, when user behavior and network status change, service priorities cannot be dynamically adjusted, resulting in long startup delays for interactive services, delayed operational responses, and low network efficiency.
By acquiring the status data of the vehicle's mobile communication network and user interaction behavior data, the network health index and interaction activity are dynamically calculated. The priority value of each vehicle service is calculated based on the multi-dimensional weight coefficient, and a dynamic bandwidth resource allocation strategy is implemented to adapt to changes in network status and user behavior.
It improves the user behavior responsiveness and resource utilization efficiency under limited bandwidth, optimizes user experience, achieves highly adaptable and responsive communication guarantees, and avoids the rigidity of static priority tiering strategies.
Smart Images
Figure CN120659100A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of vehicle technology, and in particular to a vehicle mobile communication network management method, system, vehicle and storage medium. Background Art
[0002] Existing in-vehicle network bandwidth management solutions generally adopt a static priority tiering strategy, which has the following characteristics: Priority fixation: Driving safety services such as navigation and voice control are fixed at the highest priority, entertainment services such as music and video are fixed at the medium priority, and background tasks such as OTA upgrades are fixed at the lowest priority.
[0003] Static bandwidth allocation: The bandwidth resources of each priority level are fixedly divided according to the preset ratio.
[0004] Existing in-vehicle network bandwidth management solutions have the following technical problems: Lack of response to user behavior: When the user actively initiates an application switch (such as jumping from navigation to video playback), the vehicle network management system is unable to dynamically adjust the service priority, resulting in long delays in the startup of interactive services and delayed operation responses.
[0005] Poor adaptability to network fluctuations: In weak network conditions (such as tunnels and remote areas), network latency increases significantly. High-priority services still occupy a fixed proportion of bandwidth, significantly reducing actual service efficiency (e.g., increased navigation path update failure rate). Meanwhile, low-priority services (such as music and video) are completely interrupted, resulting in a fragmented user experience.
[0006] Low resource utilization: When network conditions are good, high-priority services (such as navigation) occupy a high proportion of bandwidth, causing some bandwidth resources to be idle and wasting bandwidth resources.
[0007] Although some in-vehicle network bandwidth management solutions have introduced dynamic bandwidth adjustment mechanisms based on network status perception, which have alleviated the problem of poor adaptability to network fluctuations to a certain extent, they have still failed to effectively alleviate the problems of lack of response to user behavior and low resource utilization. Summary of the Invention
[0008] The purpose of the present invention is to provide a vehicle mobile communication network management method, system, vehicle and storage medium to alleviate or eliminate at least one of the above-mentioned technical problems.
[0009] A vehicle mobile communication network management method according to the present invention comprises the following steps: Obtaining status data of the vehicle's mobile communication network and interaction behavior data between the user and the vehicle; determining a bandwidth resource allocation strategy for the mobile communication network according to the status data and the interaction behavior data and a preset rule; The bandwidth resources of the mobile communication network are allocated according to the bandwidth resource allocation policy.
[0010] Optionally, the method further includes the following steps: obtaining bandwidth resource occupancy of the mobile communication network, and redetermining the bandwidth resource allocation strategy when a deviation between the bandwidth resource occupancy and the bandwidth resource allocation strategy meets a first preset condition.
[0011] Optionally, the method further includes the following steps: dynamically updating the bandwidth resource allocation strategy according to a preset period.
[0012] Optionally, determining the bandwidth resource allocation strategy of the mobile communication network according to a preset rule includes the following steps: Calculating a network health index based on the status data; Calculating the interactive activity according to the interactive behavior data; The priority value of each in-vehicle service is calculated based on the network health index, the interactive activity, the basic security weight of each in-vehicle service, the network health index weight coefficient of each in-vehicle service, the interactive activity weight coefficient of each in-vehicle service, and the weight coefficient of the basic security weight of each in-vehicle service. The bandwidth resource allocation strategy is determined based on the priority value of each in-vehicle service.
[0013] Optionally, the following steps are also included: when it is identified that the user's interactive behavior with one or more in-vehicle services meets a second preset condition, the priority value of the one or more in-vehicle services is increased, and the bandwidth resource allocation strategy is updated according to the increased priority value.
[0014] Optionally, when it is identified that the number of interactions of the user with one or more in-vehicle services within a preset time window is greater than or equal to a preset threshold, it indicates that the user's interaction behavior with the one or more in-vehicle services meets the second preset condition.
[0015] Optionally, the method further includes the following steps: when the status data meets a third preset condition, lowering the service quality level of one or more in-vehicle services.
[0016] The present invention also proposes a vehicle mobile communication network management system, comprising: A data acquisition module is used to obtain status data of the vehicle's mobile communication network and interaction behavior data between the user and the vehicle; a strategy determination module, configured to determine a bandwidth resource allocation strategy for the mobile communication network according to preset rules based on the status data and the interaction behavior data; The scheduling execution module is used to allocate bandwidth resources of the mobile communication network according to the bandwidth resource allocation strategy.
[0017] The present invention also provides a vehicle, comprising the above-mentioned vehicle mobile communication network management system.
[0018] The present invention also proposes a storage medium, in which a computer program is stored. When the computer program is executed by a processor, any of the above-mentioned vehicle mobile communication network management methods is implemented.
[0019] The present invention proposes a vehicle mobile communication network management solution based on network status and user interaction behavior perception, which improves the responsiveness to user behavior and resource utilization efficiency under limited bandwidth, thereby optimizing the user experience.
[0020] The vehicle mobile communication network management solution proposed in the present invention realizes a dynamic priority adjustment and resource allocation mechanism, effectively avoiding the rigidity of the static priority tiering strategy, and can provide highly adaptable and responsive communication guarantees for intelligent connected vehicles. BRIEF DESCRIPTION OF THE DRAWINGS
[0021] Figure 1 is a flowchart of the vehicle mobile communication network management method described in some embodiments; Figure 2 Schematic diagram of the vehicle mobile communication network management system described in some embodiments.
[0022] In the figure, 10 is a vehicle mobile communication network management system, 20 is a data acquisition module, 30 is a strategy determination module, and 40 is a scheduling execution module. DETAILED DESCRIPTION
[0023] The following describes the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments. Those skilled in the art will readily appreciate the other advantages and benefits of the present invention from the disclosure herein. The present invention may also be implemented or applied through various other specific embodiments, and the various details in this specification may be modified or altered based on different viewpoints and applications without departing from the spirit of the present invention. It should be understood that the preferred embodiments are intended only to illustrate the present invention and are not intended to limit the scope of protection of the present invention.
[0024] It should be noted that the illustrations provided in the following embodiments are merely schematic illustrations of the basic concept of the present invention. The illustrations only show components related to the present invention and are not drawn according to the number, shape, and size of components in actual implementation. In actual implementation, the type, quantity, and proportion of each component may be changed arbitrarily, and the component layout may also be more complex.
[0025] like Figure 1A vehicle mobile communication network management method shown includes the following steps: S100: Acquire status data of the vehicle mobile communication network and interaction behavior data between the user and the vehicle; S200: Determine a bandwidth resource allocation strategy for the mobile communication network according to preset rules based on the status data and the interaction behavior data; S300: Allocate bandwidth resources of the mobile communication network according to the bandwidth resource allocation policy.
[0026] By adopting the above technical solution, the status data can reflect the status of the network, and the interaction behavior data can reflect the services that users are interested in. The bandwidth resource allocation strategy of the mobile communication network is determined based on the network status and user interaction behavior, which improves the responsiveness to user behavior and the resource utilization efficiency under limited bandwidth, thereby optimizing the user experience.
[0027] In some embodiments, the vehicle mobile communication network management method further includes the steps of obtaining bandwidth resource usage information for the vehicle mobile communication network and, when the deviation between the bandwidth resource usage information and the bandwidth resource allocation policy satisfies a first preset condition, re-determining the bandwidth resource allocation policy. The above-described technical solution forms a closed-loop solution encompassing data perception, dynamic decision-making, resource allocation, and feedback adjustment, enabling better dynamic priority adjustment and resource allocation for the vehicle mobile communication network.
[0028] As a specific example, the actual bandwidth occupancy rate of the vehicle mobile communication network can be monitored in real time. If the deviation between the actual bandwidth occupancy rate and the current bandwidth resource allocation strategy exceeds the deviation threshold, it is determined that the deviation meets the first preset condition, triggering the re-determination of the bandwidth resource allocation strategy.
[0029] In specific implementation, re-determining the bandwidth resource allocation strategy includes the following steps: determining the bandwidth resource allocation strategy of the mobile communication network according to preset rules based on current state data and current interaction behavior data.
[0030] In some embodiments, the vehicle mobile communication network management method further includes the following steps: dynamically updating the bandwidth resource allocation policy according to a preset period. This approach, through periodic updates of the bandwidth resource allocation policy, allows the policy to better match the current network status and user behavior, achieving dynamic network resource allocation and effectively avoiding the rigidity of static priority tiering strategies. This provides highly adaptive and responsive communication guarantees for intelligent connected vehicles.
[0031] In some embodiments, determining a bandwidth resource allocation strategy for a mobile communication network according to a preset rule includes the following steps: Calculate the network health index based on the status data; Calculate interactive activity based on interactive behavior data; The priority value of each in-vehicle service is calculated based on the network health index, interactive activity, basic security weight of each in-vehicle service, network health index weight coefficient of each in-vehicle service, interactive activity weight coefficient of each in-vehicle service, and weight coefficient of basic security weight of each in-vehicle service. The bandwidth resource allocation strategy is determined based on the priority value of each in-vehicle service.
[0032] By adopting the above technical solution, the network status is quantified as the network health index, and the interactive behavior status is quantified as the interactive activity, which can better calculate the priority value of each in-vehicle service. When calculating the priority value of each in-vehicle service, not only the network status and the interactive behavior between the user and the vehicle are taken into account, but also the key attributes of the service itself, such as the basic security weight. The priority value of each in-vehicle service is dynamically calculated based on multi-dimensional weights. By rationally designing the weight coefficients, the goals of ensuring high-security services, optimizing user experience, adapting to network fluctuations, and improving resource utilization can be achieved. Moreover, the adjustable weight coefficients also provide powerful policy customization capabilities.
[0033] During specific implementation, the network health index weight coefficient of each in-vehicle service, the interactive activity weight coefficient of each in-vehicle service, and the basic security weight weight coefficient of each in-vehicle service can adopt preset values.
[0034] As a specific example, obtaining status data of the vehicle mobile communication network includes obtaining real-time network signal strength, available bandwidth, and end-to-end latency of the vehicle mobile communication network. Calculating a network health index based on the status data includes calculating the network health index based on the network signal strength, available bandwidth, and end-to-end latency, and quantifying network quality using the network health index.
[0035] As a specific example, the network health index can be calculated using a fitting formula that combines network signal strength, available bandwidth, and end-to-end delay with the network health index. The fitting formula can be a pre-determined formula. The lower the network signal strength, the smaller the available bandwidth, and the greater the end-to-end delay, the lower the network health index; the higher the network signal strength, the larger the available bandwidth, and the smaller the end-to-end delay, the higher the network health index.
[0036] As a specific example, acquiring data on user-vehicle interaction behavior includes monitoring the frequency of touchscreen operations and the density of voice command triggers, and identifying the user's current interaction focus. For example, if a user requests to play a video, the user's current interaction focus is the video service. In specific implementations, an interaction activity score can be calculated based on the number of touchscreen operations and the density of voice commands within a preset window.
[0037] As a specific example, the interaction activity score can be calculated using a fitting formula that combines the number of touch screen operations, voice command density, and interaction activity score. The fitting formula can be a pre-determined formula. The fewer the number of touch screen operations and the lower the voice command density, the lower the interaction activity score; the more the number of touch screen operations and the greater the voice command density, the higher the interaction activity score.
[0038] As a specific example, the priority value P can be calculated according to the formula: P=S*W1+NHI*W2+A*W3, where: S is the basic security weight, NHI is the network health index, A is the interaction activity score, W1, W2 and W3 are preset weight coefficients, which must satisfy: W1+W2+W3=1.
[0039] In specific implementation, according to the priority value of each vehicle service, the bandwidth resource allocation strategy is determined as follows: the bandwidth upper limit and priority level of each vehicle service are defined according to the priority value of each vehicle service to form a bandwidth allocation strategy table.
[0040] In some embodiments, the vehicle mobile communication network management method further includes the following steps: upon identifying that a user's interactive behavior with one or more in-vehicle services meets a second preset condition, raising the priority of the one or more in-vehicle services, and updating the bandwidth resource allocation policy based on the raised priority values. This technical solution enables the interactive services of user interest to receive a temporary resource boost, significantly improving user behavior response speed and enhancing the user experience.
[0041] As a specific example, when it is identified that the number of interactions of the user with one or more in-vehicle services within a preset time window is greater than or equal to a preset threshold, it indicates that the user's interaction behavior with the one or more in-vehicle services meets the second preset condition.
[0042] In some embodiments, the vehicle mobile communication network management method further includes the following step: when the status data satisfies a third preset condition, lowering the quality of service (QoS) of one or more in-vehicle services. By employing the above technical solution, lowering the QoS can reduce the bandwidth requirements of in-vehicle services, thereby ensuring the continuity of the core functions of the in-vehicle services. In specific implementations, lowering the QoS can include switching to a low-data-volume mode, performing bitrate compression, or performing resolution degradation.
[0043] As a specific example, when the network health index is less than or equal to a preset index threshold, it indicates that the status data meets the third preset condition.
[0044] like Figure 2 As shown, in some embodiments, the present invention further proposes a vehicle mobile communication network management system 10, comprising: The data acquisition module 20 is used to acquire the status data of the vehicle mobile communication network and the interaction behavior data between the user and the vehicle; A strategy determination module 30 is configured to determine a bandwidth resource allocation strategy for the mobile communication network according to the status data and the interaction behavior data and in accordance with preset rules; The scheduling execution module 40 is configured to allocate bandwidth resources of the mobile communication network according to a bandwidth resource allocation policy.
[0045] By adopting the above-mentioned vehicle mobile communication network management system 10, the bandwidth resource allocation strategy of the mobile communication network can be determined according to the network status and user interaction behavior, thereby improving the responsiveness to user behavior and the resource utilization efficiency under limited bandwidth, thereby optimizing the user experience.
[0046] In some embodiments, the vehicle mobile communication network management system 10 further includes a feedback module configured to obtain bandwidth resource usage information for the vehicle mobile communication network and, when the deviation between the bandwidth resource usage information and the bandwidth resource allocation policy satisfies a first predetermined condition, redefine the bandwidth resource allocation policy. This technical solution forms a closed-loop solution encompassing data perception, dynamic decision-making, resource allocation, and feedback adjustment, enabling better dynamic priority adjustment and resource allocation within the vehicle mobile communication network.
[0047] In specific implementation, the above-mentioned vehicle mobile communication network management system 10 can be used to execute the above-mentioned vehicle mobile communication network management method, and each module in the vehicle mobile communication network management system 10 is used to execute the steps of the vehicle mobile communication network management method.
[0048] As a specific example, the data acquisition module 20 is used to perform network status perception, calculate the network health index, perceive the interaction behavior between the user and the vehicle, and calculate the interaction activity score.
[0049] As a specific example, the strategy determination module 30 is used to perform: dynamically calculating the priority value of each in-vehicle service, dynamically determining the bandwidth resource allocation strategy, increasing the priority of interactive services that users are concerned about, and reducing the service quality level of in-vehicle services.
[0050] As a specific example, the scheduling execution module 40 is configured to allocate bandwidth according to the bandwidth resource allocation policy and execute an operation to reduce the quality of service level of the in-vehicle service. In specific implementations, bandwidth allocation according to the bandwidth resource allocation policy may prioritize bandwidth resources for safety services, for example, navigation and voice bandwidth ≥ η% of the total bandwidth, and the remaining bandwidth resources are allocated according to the priority weights of other in-vehicle services.
[0051] As a specific example, the feedback module is used to: monitor the actual bandwidth occupancy in real time, and trigger the re-determination of the bandwidth resource allocation strategy if the deviation between the actual bandwidth occupancy and the current bandwidth resource allocation strategy exceeds a deviation threshold.
[0052] In specific implementation, the modules of the vehicle mobile communication network management system 10 can transmit data and instructions through the vehicle communication bus to form a closed-loop feedback mechanism. The inter-module collaboration process includes: Data acquisition and transmission: The data acquisition module 20 pushes the network health index and interactive activity to the strategy determination module 30 at a fixed period; when the user triggers the focus application, such as clicking on a video to play, an interrupt signal is sent to the strategy determination module 30.
[0053] Policy Generation and Distribution: The policy determination module 30 periodically calculates the priority of each in-vehicle service and generates a bandwidth allocation table. If the network health index is less than or equal to a preset threshold or a user triggers a focus application, it generates an immediate bandwidth resource allocation policy and sends it to the scheduling execution module 40, overwriting the existing bandwidth resource allocation policy. For example, if the policy determination module 30 receives an interrupt signal from the data acquisition module 20 and determines that a user has triggered a focus application, it generates an immediate bandwidth resource allocation policy and sends it to the scheduling execution module 40, overwriting the existing bandwidth resource allocation policy.
[0054] Strategy execution and feedback: The scheduling execution module 40 implements bandwidth allocation based on the bandwidth resource allocation strategy through traffic shaping technology and monitors the execution effect in real time. When the actual bandwidth occupancy rate deviates from the current bandwidth resource allocation strategy by more than the deviation threshold, it sends a request to the policy determination module 30 to redefine the bandwidth resource allocation strategy.
[0055] The vehicle mobile communication network management method and vehicle mobile communication network management system 10 proposed in the present invention have the following characteristics: Dynamic network adaptability: By sensing network fluctuations in real time, the priority weights of in-vehicle services are automatically adjusted to avoid resource waste or service interruption caused by fixed ratio allocation. Accurate behavioral response: Interactive services that users are concerned about can obtain temporary resource upgrades, significantly improving the operation response speed. Elastic resource management: Introducing degradation control instructions to automatically compress the resource usage of non-critical in-vehicle services when the network degrades, thereby ensuring the continuity of the core functions of in-vehicle services. Modular scalability: Each module communicates through a standardized interface, supports flexible parameter configuration, and adapts to different vehicle models and user needs. For example, different weight coefficient combinations are configured for different vehicle models.
[0056] In some embodiments, the present invention further provides a vehicle including the above-mentioned vehicle mobile communication network management system. In a specific implementation, the vehicle can be, but is not limited to, a pure electric vehicle (PEV / BEV), a hybrid electric vehicle (HEV), a range-extended electric vehicle (REEV), a plug-in hybrid electric vehicle (PHEV), a new energy vehicle (NEV), a fuel vehicle, etc.
[0057] In some embodiments, the present invention further proposes a storage medium storing a computer program, which implements any of the above-mentioned vehicle mobile communication network management methods when executed by a processor.
[0058] It should be noted that the mobile communication network described in the present invention is a long-distance wireless communication network suitable for vehicles, which can adopt but is not limited to satellite communication networks and cellular networks based on 3GPP standards. Cellular networks based on 3GPP standards include but are not limited to 4G networks and 5G networks.
[0059] The above embodiments are merely preferred embodiments for fully illustrating the present invention, and the scope of protection of the present invention is not limited thereto. Equivalent substitutions or transformations made by those skilled in the art on the basis of the present invention are all within the scope of protection of the present invention. In the description of this specification, the descriptions with reference to the terms "one embodiment", "some embodiments", "example", "specific example" or "some examples" etc. mean that the specific features, structures, materials or characteristics of the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification.
Claims
1. A vehicle mobile communication network management method, characterized in that: The following steps are involved: Obtaining status data of the vehicle's mobile communication network and interaction behavior data between the user and the vehicle; determining a bandwidth resource allocation strategy for the mobile communication network according to the status data and the interaction behavior data and a preset rule; Allocating bandwidth resources of the mobile communication network according to the bandwidth resource allocation strategy; Determining the bandwidth resource allocation strategy of the mobile communication network according to a preset rule comprises the following steps: Calculating a network health index based on the status data; Calculating the interactive activity according to the interactive behavior data; The priority value of each in-vehicle service is calculated based on the network health index, the interactive activity, the basic security weight of each in-vehicle service, the network health index weight coefficient of each in-vehicle service, the interactive activity weight coefficient of each in-vehicle service, and the weight coefficient of the basic security weight of each in-vehicle service. The bandwidth resource allocation strategy is determined based on the priority value of each in-vehicle service.
2. The vehicle mobile communication network management method according to claim 1, characterized in that: The following steps are also included: Obtaining bandwidth resource occupancy status of the mobile communication network, and re-determining the bandwidth resource allocation strategy when a deviation between the bandwidth resource occupancy status and the bandwidth resource allocation strategy meets a first preset condition.
3. The vehicle mobile communication network management method according to claim 1, characterized in that: The method further includes the following steps: dynamically updating the bandwidth resource allocation strategy according to a preset period.
4. The vehicle mobile communication network management method according to claim 1, characterized in that: The following steps are also included: When it is identified that the user's interaction behavior with one or more in-vehicle services meets a second preset condition, the priority values of the one or more in-vehicle services are increased, and the bandwidth resource allocation strategy is updated according to the increased priority values.
5. The vehicle mobile communication network management method according to claim 4, characterized in that: When it is identified that the number of interactions of the user with one or more in-vehicle services within a preset time window is greater than or equal to a preset threshold, it indicates that the user's interaction behavior with the one or more in-vehicle services meets the second preset condition.
6. The vehicle mobile communication network management method according to claim 1, characterized in that: The following steps are also included: When the status data satisfies a third preset condition, the service quality level of one or more in-vehicle services is reduced.
7. A vehicle mobile communication network management system, characterized in that: include: A data acquisition module (20) is used to acquire status data of the vehicle mobile communication network and interaction behavior data between the user and the vehicle; A strategy determination module (30) is used to: determine a bandwidth resource allocation strategy of the mobile communication network according to the state data and the interaction behavior data and in accordance with preset rules; A scheduling execution module (40) is used to allocate bandwidth resources of the mobile communication network according to the bandwidth resource allocation strategy; Determining the bandwidth resource allocation strategy of the mobile communication network according to a preset rule comprises the following steps: Calculating a network health index based on the status data; Calculating the interactive activity according to the interactive behavior data; The priority value of each in-vehicle service is calculated based on the network health index, the interactive activity, the basic security weight of each in-vehicle service, the network health index weight coefficient of each in-vehicle service, the interactive activity weight coefficient of each in-vehicle service, and the weight coefficient of the basic security weight of each in-vehicle service. The bandwidth resource allocation strategy is determined based on the priority value of each in-vehicle service.
8. A vehicle, characterized in that: It includes the vehicle mobile communication network management system as described in claim 7.
9. A storage medium, characterized in that: The storage medium stores a computer program, which, when executed by a processor, implements the vehicle mobile communication network management method according to any one of claims 1 to 6.