MEC-assisted speed adaptive access method for motorcade network

Abstract

The invention discloses an MEC-assisted speed adaptive access method for a motorcade network, and the method comprises the steps: firstly, defining a fairness index to measure the fairness of communication of vehicles at different speeds, and obtaining the relation between the fairness index and the vehicle speed as well as between the fairness index and a minimum contention window of the vehicle under the condition that a data packet is sent; secondly, deducing an information age of a communication link in a coverage range of the base station and a closed-form solution of an average information age of the network under a saturation condition by using a random hybrid system; then, the average back-off rate and the average service rate of each communication link are defined, and a conflict-free transmission theory is proposed; determining the average number of vehicles in the coverage range of the base station; and finally, by constructing a multi-objective equation, obtaining the optimal minimum competition window size of the vehicles at different speeds. According to the method, calculation is simple and convenient, and the average information age of the network is almost the same as the average information age of the network under the condition that the standard IEEE 802.11 protocol is used while it is guaranteed that the data amount sent by the vehicles at different speeds is equal as much as possible.

Description

technical field [0001] The invention belongs to the technical field of on-vehicle task offloading, and in particular relates to a speed adaptive access method of an MEC-assisted fleet network. Background technique [0002] Autonomous driving technology has become one of the hot research topics in recent years. Compared with traditional cars, autonomous vehicles can improve road safety, reduce traffic accidents, and improve the user's driving experience. Formation strategy is an important management strategy for autonomous driving. Autonomous vehicles use formation strategy to form a fleet on the same lane. Each fleet is composed of a leading vehicle and member vehicles. The leading vehicle controls the dynamic factors of the entire fleet (driving direction, speed, acceleration, etc.) ), the following member vehicles follow the leading vehicle one by one at the same speed and inter-vehicle distance. [0003] In order to perceive the surrounding environment, the self-driving ...

AI Technical Summary

Problems solved by technology

[0006] Purpose of the invention: The present invention aims at issues such as the fairness of the amount of data sent to the base station by vehicles with different speeds within the coverage area of ​​the base station in the expressway fleet scene and the incomplete consideration of the average information age of the network, and proposes a MEC-assisted fleet network speed The adaptive access method ensures that the amount of data sent by vehicles at different speeds is as equal as possible, and at the same time makes the average information age of the network almost the same as that of the network using the standard IEEE 802.11 protocol

Images