Traffic flow dynamic grouping based LTE-D2D Internet of vehicles resource distribution method

Abstract

The invention provides a traffic flow characteristic based dynamic grouping resource distribution method. The traffic flow characteristic based dynamic grouping resource distribution method comprises the steps of firstly dividing V2V communication links into two types, wherein one type is a traffic safety type and the other type of an entertainment type; selecting a suitable grouping number value m based on a specific traffic flow characteristic and grouping the two types of the V2V communication links respectively; then selecting a cellular user resource corresponding to the maximum communication capacity utility value and distributing the cellular user resource to each V2V link under the precondition of guaranteeing the communication quality of the cellular user, wherein the V2V communication links in each group reuse the same cellular user resource. A simulation result shows that the method disclosed by the invention, although is not as good as a greedy algorithm in the aspects of the communication capacity utility value and the number of the V2V links for obtaining the communication resource successfully, has great advantages when being compared with a random distribution algorithm. In addition, the method disclosed by the invention is obviously superior to the greedy distribution algorithm and the random distribution algorithm in the aspects of running time and spectrum frequency; and the two performance indexes are particularly important for the complex and changeful V2V communication link environment and the existing spectrum resource scarcity condition.

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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