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Mobile edge computing time delay optimization method based on non-orthogonal multiple access and cellular network user cooperation

A non-orthogonal multiple access, edge computing technology, applied in the field of communications

Inactive Publication Date: 2020-10-30
ZHEJIANG UNIV OF TECH
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  • Description
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  • Application Information

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Problems solved by technology

Since traditional IoT devices are usually equipped with limited computing resources, this results in large delays when performing computationally demanding tasks

Method used

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  • Mobile edge computing time delay optimization method based on non-orthogonal multiple access and cellular network user cooperation
  • Mobile edge computing time delay optimization method based on non-orthogonal multiple access and cellular network user cooperation
  • Mobile edge computing time delay optimization method based on non-orthogonal multiple access and cellular network user cooperation

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Embodiment Construction

[0113] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0114] refer to figure 1 , a mobile edge computing delay optimization method based on non-orthogonal multiple access and cellular network user cooperation, the method includes the following steps:

[0115] ,1) There are 2 edge computing users and 1 cellular network user under the coverage of a base station, and there is 1 edge server near the base station, and the edge computing users use a collection Indicates that edge computing users use non-orthogonal access technology to send data to the base station at the same time, and the amount of data that edge computing user i needs to send is represented by express;

[0116] Under the condition of ensuring the data requirements of edge computing users and the throughput requirements of cellular network users, the optimization problem of minimizing the uplink transmission time and the total delay required by a...

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Abstract

A mobile edge computing time delay optimization method based on non-orthogonal multiple access and cellular network user cooperation comprises the following steps of:(1) enabling two edge computing users and one cellular network user to exist in the coverage range of a base station, arranging an edge server near the base station, and describing the optimization problem as an OLM problem; 2) decomposing the OLM problem into an OLM-Top problem and an OLM-Sub problem, and equivalently converting the OLM-Sub problem into OLM-Sub-E; 3) providing an OLM-Algyration hm algorithm to solve the OLM-Top problem; and 4) calculating an OLM-Sub-E problem by an OLM-Algyration hm algorithm on the premise of giving (t, m) and [gamma] to obtain a target function value of the OLM problem. The method improvesthe system transmission efficiency, saves bandwidth resources and the total cost of edge server computing resources, and obtains higher-quality wireless network experience quality.

Description

technical field [0001] The invention belongs to the field of communications, and relates to a mobile edge computing delay optimization method based on non-orthogonal multiple access and cellular network user cooperation. Background technique [0002] With the rapid development of mobile Internet services, the demand for computing resources is getting stronger and stronger. Since traditional IoT devices are usually equipped with limited computing resources, this results in large delays when performing computationally demanding tasks. Using non-orthogonal multiple access technology to make mobile users share the same channel at the same time provides an effective method for wireless access, which can greatly improve spectrum utilization. Mobile edge computing (Mobile edge computing, MEC) can migrate part of the computing tasks to the edge computing server located in the cellular network base station, thereby significantly reducing the time to perform computing tasks. Conten...

Claims

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Application Information

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IPC IPC(8): H04L29/08H04W24/02
CPCH04L67/10H04W24/02
Inventor 钱丽萍欧阳金源俞宁宁黄亮孟利民
Owner ZHEJIANG UNIV OF TECH
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