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Computational Task Offloading Method for Internet of Vehicles

A computing task and computing offloading technology, applied in the field of wireless communication, can solve problems such as limited computing resource processing capacity, and achieve the effect of guaranteeing delay requirements

Active Publication Date: 2020-06-26
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • Computational Task Offloading Method for Internet of Vehicles
  • Computational Task Offloading Method for Internet of Vehicles
  • Computational Task Offloading Method for Internet of Vehicles

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Embodiment Construction

[0038] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0039] The method of the present invention regards the computing resources of the MEC serve at the base station side as n computing processing queues running in parallel, and at the same time, the driving vehicles on the roadside can be regarded as a dynamic computing processing queue, and the computing tasks are allocated when the computing request of the UE arrives. To the corresponding computing processing queue, the benefit of the resource provider is maximized, and the delay requirement of the user computing task is guaranteed to a certain extent.

[0040] The Internet of Vehicles scenario where the present invention is applied is as follows: figure 1 Shown: In the system, the base station can act as a control center, as it can schedule comp...

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Abstract

The invention discloses a computing task offloading method oriented to the Internet of Vehicles. In order to improve the revenue of computing resource providers in the computing task offloading process in the prior art and ensure the completion delay of the computing task to a certain extent, the invention adopts the base station side The computing resources of the MEC serve and the computing resources of road vehicles provide an offloading solution for the computing tasks of the roadside UE; the communication delay of the task, the computing delay, and the processing rate and queue length of the computing processing queue are included in the decision-making reference factors. The mathematical model of Markov decision-making is used to analyze the change of the state, and the deep learning algorithm is used to obtain an optimization strategy space, that is, when the corresponding state adopts the corresponding behavior, the resource provider's revenue is maximized, and the user's calculation is guaranteed to a certain extent. The latency requirement of the task.

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...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/08H04W4/44H04W4/46G06F9/48H04L12/863H04L12/875H04L47/56
CPCH04L67/10H04L67/12H04W4/44H04W4/46G06F9/4881H04L47/56H04L47/6245H04L67/60
Inventor 张科杨迪冷甦鹏吴凡
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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