A resource allocation method for LTE-D2D Internet of Vehicles based on traffic flow dynamic grouping

Abstract

The present invention proposes a LTE‑D2D Internet of Vehicles resource allocation method based on traffic flow dynamic grouping. First, V2V communication links are divided into two types, one is traffic safety, and the other is leisure and entertainment; According to the specific traffic flow characteristics, select the appropriate number of groups m, and group the two types of V2V communication links respectively; then, under the premise of ensuring the communication quality of the cellular users themselves, select the resource allocation of the cellular user with the largest utility value of the corresponding communication capacity For V2V links, the V2V communication links within each group reuse the same cellular user resources. As can be seen from the simulation results, although the method of the present invention is not as good as the greedy algorithm on the communication capacity utility value and the number of V2V links that successfully obtain communication resources, it still has a great advantage compared with the random allocation algorithm; in addition, the method of the present invention In terms of running time and spectrum efficiency, it is significantly better than the greedy allocation algorithm and the random allocation algorithm, and these two performance indicators are particularly important for the complex and changeable V2V communication link environment and the current state of scarcity of spectrum resources.

Description

technical field [0001] The present invention relates to the technical field of vehicle communication, in particular to an LTE-D2D vehicle networking resource allocation method based on traffic flow dynamic grouping. Background technique [0002] The Internet of Vehicles mainly refers to the use of advanced sensor technology, network technology and computer technology to conduct comprehensive perception of road information and traffic information, and to realize data information interaction and sharing services between multiple systems or multiple users. , so as to solve the problem of collaborative interaction between people, vehicles and roads, and at the same time provide network and application services focusing on traffic efficiency and traffic safety. Wireless communication technology is the basis for the application and realization of the Internet of Vehicles. At present, the main technologies used in the communication of the Internet of Vehicles are VANET technology ...

AI Technical Summary

Problems solved by technology

The ergodic algorithm is to find the maximum system capacity and allocate resources by traversing all the solutions of the system. This algorithm needs to obtain the channel quality and interference size of all users in the system. At the same time, the number of iterations is very large, and the algorithm performance is poor; the greedy algorithm is followed by D2D Allocate wireless resources and select the multiplexing resources of cellular users with the least interference. The result obtained by this algorithm satisfies local maximization, but the complexity of the algorithm is lower than that of the traversal algorithm

[0006] The existing D2D wireless resource allocation technology is mainly based on the research of the static network communication environment, and less consideration is given to the dynamic network environment, such as the dynamic change of the number of communication users in the network and the length of multiplexing time of D2D users.

The problem of vehicle-to-vehicle (V2V) communication is a highly dynamic network communication environment, so the existing technology cannot be well applied to this problem.

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