Vehicle networking oriented computing task unloading method

Abstract

The invention discloses a vehicle networking oriented computing task unloading method. In order to improve the benefit of computing resource providers during computing task unloading and to ensure thecompletion delay of computing tasks to a certain extent, the invention provides an unloading scheme for the computing tasks of the roadside UE by adopting the computing resources of the base stationside MEC server and the computing resources of the road traveling vehiclethe communication delay of the task, the computing time delay and the computing processing queue processing rate and queue length are taken into the decision-making reference factors, the mathematical model of Markov decision is used to analyze the change of the state, and the depth learning algorithm is used to obtain an optimal strategy space, that is, the corresponding state adopts the corresponding behavior, which maximizes the revenue of the resource provider and ensures the time delay requirement of the user's computing task to a certain extent.

Description

technical field [0001] The invention belongs to the field of wireless communication, and in particular relates to a technology for unloading edge computing tasks by a deep learning algorithm. Background technique [0002] With the acceleration of the growth rate of mobile smart devices and the continuous emergence of mobile applications, the traditional centralized network architecture cannot meet the computing requirements of low latency and high performance. These growing application requirements have inspired the development of mobile edge computing (MEC). As a promising technology, mobile edge computing can provide edge computing services at the edge of the cellular network because computing resources are closer to the mobile device end. By reducing network operation and service delivery delays, and improving user service quality experience, it has been widely accepted. Widely concerned, and MEC has been included in the 5G standard as a key technology. [0003] MEC aim...

AI Technical Summary

Problems solved by technology

However, less research effort has been devoted to investigating how computational tasks can be offloaded to mobile vehicles

Vehicles and base stations, as two important computing resource providers, are usually analyzed separately in existing research, and the computing resource processing capacity of separate vehicle offloading or base station offloading is usually limited

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