A content distribution base station and method in a dynamically changing Internet of Vehicles scene

Abstract

The invention relates to a content distribution scheme in the cooperative Internet of Vehicles, and the scheme realizes the content distribution on the basis of D2D by applying big data-based trajectory prediction and alliance game-based resource distribution. The scheme comprises: applying data provided by a global positioning system (GPS) and a geographic information system (GIS) to predict a vehicle trajectory so as to find a reliable and persistent vehicle-mounted network connection scheme; and carrying out distribution according to different existence periods of the distributed contents to form an alliance, carrying out modeling on a utility function according to the minimized average network time delay, and converting contribution of each alliance member into individual income of themembers; and combining and splitting the alliance members according to the preference relationship, carrying out iterative solution, and enabling the alliance members to be finally converged to stable Nash equilibrium. According to the technical scheme provided by the invention, the vehicle track can be effectively predicted, and stable network connection is provided, so that the content distribution delay is minimized.

Description

technical field [0001] The present invention relates to a content distribution scheme in the field of wireless communication, in particular to a content distribution base station and method in a dynamically changing Internet of Vehicles scene. Background technique [0002] With the exponential increase in the number and density of cars, a series of key problems in human life, such as energy consumption, traffic accidents and air pollution, are becoming more and more obvious. In order to solve the above problems, an environment-friendly intelligent transportation system (ITS) is proposed, which can not only utilize new information and communication technologies to promote the development of the automobile industry, but also manage computing resources in a dynamic driving environment to provide better Serve. Among the many core technologies, enabling information exchange and content sharing between vehicles with little or no human intervention is a key; it also provides unpre...

AI Technical Summary

Problems solved by technology

[0005] However, the successful implementation of D2D-based in-vehicle content distribution brings new challenges

First, due to the channel conditions of highly motorized vehicles and the rapid changes in network topology, it is difficult to determine how to form a content distribution group; second, in order to meet the timeliness requirements of D2D-V2V communication, the channel caused by cellular spectrum multiplexing needs to be further processed interference; thirdly, the multi-hop content distribution process involves a complex path selection problem, which requires joint establishment of connections and spectrum allocation for optimization from the perspective of minimizing delay

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