Mobile edge computing system, optimization model modeling method thereof and optimization method thereof

The mobile edge computing system optimizes power and resource allocation using a D3T3 framework to address challenges in environments with multiple edge servers and mobile devices, enhancing task completion rates and reducing costs through efficient computational offloading and resource management.

CN119233317AActive Publication Date: 2024-12-31GUANGZHOU HUASU INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202411217273.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-02
Publication Date
2024-12-31
Estimated Expiration
2044-09-02

AI Technical Summary

Technical Problem

Existing mobile edge computing systems face challenges in managing power allocation and computational offloading and resource allocation due to the frequent movement of users and uneven task completion requirements in environments with multiple edge servers and mobile devices, leading to uncertainty and instability.

Method used

A mobile edge computing system and optimization model that utilizes a D3T3 framework combining dueling dual deep Q-network (D3QN) and dual delayed deep deterministic policy gradient (TD3) to optimize power allocation, computational offloading, and resource allocation, considering channel gain, signal-to-noise ratio, data transmission rate, total delay, and energy consumption.

Benefits of technology

The system effectively reduces task costs and improves task completion rates by accurately coordinating task offloading and resource allocation in environments with multiple edge servers and mobile devices, reducing latency and energy consumption.

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Abstract

The invention relates to the technical field of mobile edge computing, and discloses a mobile edge computing system, an optimization model modeling method thereof and an optimization method thereof, and the method comprises the following specific steps: constructing the mobile edge computing system composed of N edge servers and M mobile devices, and enabling each mobile device to interact with the environment in turn in a time division multiplexing mode; the mobile equipment is randomly distributed in a closed area and randomly moves in the area; and integrating the channel gain between the edge server and the mobile device, the signal-to-noise ratio of the edge server and the mobile device, the data transmission rate of the edge server and the mobile device, the total delay and total energy consumption of the edge calculation and the task cost of the edge calculation to construct an optimization problem model. The problem that the prior art is not suitable for the environment with multiple edge servers and multiple mobile devices is solved, and the method has the advantages of being accurate in calculation and capable of effectively reducing task cost.
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Citation Information

Patent Citations

  • Mobile edge computing resource allocation method for ultra-dense network

    CN111800828A

  • Method, system and equipment for unloading partial calculation of single server in mobile edge environment

    CN113950066A

  • Method for offloading decision and resource allocation based on integration of communication, sensing and computing

    US12052735B1

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