Vehicle networking communication optimization algorithm based on edge computing and Actor-Critic algorithm

Abstract

The invention relates to a method based on edge computing and an Actor-Critic algorithm. The specific steps are as follows: in the vehicle networking communication system, the user sequence is {1, 2,..., k,..., K}, and there are K users; the subchannel sequence is {1, 2,..., n,..., N} with N subchannels; fog access node sequence {1, 2,..., m,... M}, total M access nodes, computing power sequence of incoming nodes {1, 2,... Cm,..., cM}; task sequence {1, 2,... tk,..., tK} uploaded by user, total tK tasks; a non-orthogonal multiple access (NOMA) mode is adopted to connect the user to the vehiclenetworking communication system. The task uploaded by the user carries out edge calculation and returns the calculation result to the user; taking advantage of actor-Critic algorithm to optimize theresource allocation method and get the best resource allocation method. The invention combines the non-orthogonal multiple access, the edge calculation and the reinforcement learning, effectively solves the problem of huge access quantity existing in the vehicle networking, simultaneously reduces the time delay in the whole communication process, obtains the best resource distribution mode under different environments, and improves the energy utilization efficiency.

Description

technical field [0001] The invention belongs to the technical field of the Internet of Vehicles, and relates to the communication technology of the Internet of Vehicles, in particular to a communication optimization algorithm of the Internet of Vehicles. Background technique [0002] The current development of automobile technology, the popularization and application of new energy vehicles and Internet of Vehicles technology are two major development trends. The Internet of Vehicles (English: Internet of Vehicles) is a huge interactive network composed of information such as vehicle location, speed and route. The Internet of Vehicles integrates various technologies such as sensor technology, mobile communication technology, and big data processing technology. Generally speaking, it can be divided into three parts: "cloud", "management" and "end". "Cloud" mainly includes data management and multi-service supporting Internet of Vehicles platform; "management" mainly includes ...

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Problems solved by technology

[0006] The present invention aims at the above-mentioned problems in the prior art, such as difficulty in ensuring low delay and high energy consumption, and provides a vehicle networking communication based on edge computing and Actor-Critic algorithm Optimization algorithm, which can solve the problem of resource allocation and low delay in the vehicle network, and improve energy utilization

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