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Intelligent resource allocation method in Internet of Vehicles

A resource allocation and Internet of Vehicles technology, applied in the field of vehicle transportation, can solve problems such as poor practicability and weak time-varying

Active Publication Date: 2019-09-06
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to address the shortcomings of poor practicability and weak time-varying nature of existing research, and combine MEC technology and artificial intelligence algorithms to propose an intelligent cache resource allocation scheme in the Internet of Vehicles

Method used

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Embodiment Construction

[0096] The specific implementation manners of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.

[0097] figure 1 It is a vehicle network architecture for intelligent transportation systems based on mobile edge computing, with edge caching and computing offload capabilities. figure 2 Intelligent transportation system architecture for joint optimization of computing resources and cache resource allocation based on artificial intelligence algorithms. see figure 1 and figure 2 In this embodiment, a method for allocating intelligent cache resources in the Internet of Vehicles is provided, and the steps are as follows:

[0098] Step 1: Establish a base station-roadside node joint vehicle edge computing and cache resource scheduling framework:

[0099] The base station-roadside node joint vehicle edge computing and cache resource scheduling framework includes moving vehicles, a base station equipped wit...

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Abstract

The invention discloses an intelligent resource allocation method in the Internet of Vehicles, which applies an artificial intelligence algorithm to solve the problem of resource allocation in a vehicle network so as to maximize the revenue of a network operator. Specifically, the method comprises: establishing a base station-roadside node combined vehicle edge calculation and cache resource scheduling framework to distribute requested resources for vehicles; establishing a network operator revenue function in combination with the operator revenue and the user experience quality to evaluate the resource distribution problem, and establishing a joint optimization problem to maximize the network operator revenue; solving the joint optimization problem through deep reinforcement learning, obtaining an intelligent task scheduling and resource distribution scheme, arranging the obtained scheme in an intelligent control system, and performing intelligent scheduling and arrangement on vehiclerequests and server resources. According to the intelligent resource distribution method in the Internet of Vehicles, the revenue of a network operator can be maximized while the user experience is considered, and a new idea and angle are provided for practical application of artificial intelligence.

Description

technical field [0001] The invention belongs to the field of vehicle traffic, and specifically relates to an intelligent resource allocation method in the Internet of Vehicles, in particular to a base station-roadside node joint vehicle edge computing and cache resource scheduling framework combined with an artificial intelligence algorithm. The resources required by the vehicle are intelligently scheduled and related resource allocation. Background technique [0002] With the advent of the 5G era, intelligent transportation systems play a vital role in today's society, maximizing the quality of life of terminal equipment users by providing users with high-quality services. The rapid development of Internet of Things technology and wireless communication technology has made the intelligent Internet of Vehicles enter people's daily life, providing vehicle drivers with a more comfortable driving experience, higher quality streaming services and more accurate vehicle route plan...

Claims

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Application Information

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IPC IPC(8): H04W28/02H04W28/16H04L29/08G06N3/04
CPCH04W28/02H04W28/16H04L67/568G06N3/045
Inventor 宁兆龙张凯源王小洁董沛然孙守铭
Owner DALIAN UNIV OF TECH
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