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An energy-optimized resource allocation method for joint energy harvesting in edge computing

A technology of energy acquisition and edge computing, applied in the direction of energy consumption reduction, advanced technology, climate sustainability, etc., can solve problems such as unseen MECN research, and achieve the effect of reducing energy consumption

Active Publication Date: 2022-03-18
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

After consulting the relevant literature, there is no research on this issue in MECN

Method used

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  • An energy-optimized resource allocation method for joint energy harvesting in edge computing
  • An energy-optimized resource allocation method for joint energy harvesting in edge computing
  • An energy-optimized resource allocation method for joint energy harvesting in edge computing

Examples

Experimental program
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Effect test

Embodiment 1

[0131] In this example, figure 1 Shown is a schematic diagram of the mobile edge computing network model of the joint energy harvesting technology. The network includes 30 (N=30) end users, each user has one task, and one MEC server. Task T for end user i i for (D i ,C i ), D i The size of the input data volume for the task, the range is [bits], C i The number of CPU cycles required to execute the task, in the range of [cycles]. where g 0 =-40dB, d 0 =1m,d i is the distance from user i to the edge server, N 0 =-174dB / HZ, B=20KHZ, θ=3, n i = 0.5.

[0132] S1 build scene

[0133] S1-1 assumes that there are 30 end users in the scenario, each user has one task and one edge server.

[0134] Task T for end user i i C i and D i As follows:

[0135]

[0136] The distance d from end user i to the mobile edge server i for:

[0137]

[0138] The channel gain h from the mobile edge server to end user i i for:

[0139]

[0140] S2 Based on the gradient desce...

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Abstract

The invention discloses an energy consumption optimization resource allocation method for joint energy acquisition in edge computing. It mainly includes the following steps: 1. Constructing a mathematical model of resource allocation for energy consumption optimization of joint energy acquisition in edge computing. 2. Construct the Lagrangian function for the constructed mathematical model. 3. Solve the time and charging power for the edge server to charge the mobile terminal device. 4. Solve the CPU frequency allocated by the end user and the CPU frequency allocated by the edge server. 5. Solve the transmission power from the terminal device to the edge server. 6. Solve the offloading decision variables for offloading the end user's tasks to the edge server. 7. Based on the gradient descent method, solve the energy consumption optimization resource allocation problem of joint energy acquisition. Applying the present invention solves the optimization problems of joint energy acquisition unloading decision, energy acquisition time, charging power allocation, transmission power allocation, and CPU frequency allocation in edge computing, and can minimize the energy consumption of all tasks.

Description

technical field [0001] The invention belongs to the technical field of mobile edge computing, and relates to an energy consumption optimization resource allocation method for joint energy acquisition in edge computing. Background technique [0002] Mobile Edge Computing Networks (MECN) combined with Energy Harvest (EH) technology is a mobile edge computing network combined with energy harvesting technology. As a 5G next-generation broadband access system, MECN has potential advantages in applying EH to MECN to solve the problems of limited battery capacity and insufficient resources at the mobile device end. Compared with typical mobile cloud computing networks, mobile terminal users can migrate applications to edge cloud processing to reduce the large energy consumption of offloading tasks to cloud servers, and solve the shortcomings of mobile terminal computers with weak capabilities and small storage space. And greatly improve the user's service experience quality. Appl...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W72/04H04W72/08H04L67/10H04L67/1004
CPCH04W72/0473H04W72/044H04L67/10H04L67/1004H04W72/543H04W72/53Y02D30/70
Inventor 邝祝芳朱伊马志豪
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY