Brent's Delay Optimization Method for Mobile Edge Computing in Multi-BS Scenarios

An edge computing, Brent-style technology, applied in wireless communication, network traffic/resource management, electrical components, etc., can solve problems such as excessive system delay, improve system transmission efficiency, high-quality wireless network experience quality, The effect of saving bandwidth resources

Active Publication Date: 2021-10-15
ZHEJIANG UNIV OF TECH
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AI Technical Summary

Problems solved by technology

Therefore, the present invention researches Brent-style delay optimization design of mobile edge computing based on non-orthogonal multiple access in multi-base station scenarios. Orthogonal Multiple Access Mobile Edge Computing Offloading Computation Delay Optimization Problem and Communication Delay Optimization Problem

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  • Brent's Delay Optimization Method for Mobile Edge Computing in Multi-BS Scenarios
  • Brent's Delay Optimization Method for Mobile Edge Computing in Multi-BS Scenarios
  • Brent's Delay Optimization Method for Mobile Edge Computing in Multi-BS Scenarios

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Embodiment Construction

[0123] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0124] refer to figure 1 , a non-orthogonal multiple access-based mobile edge computing Brent-style delay optimization method in a multi-base station scenario. The implementation of this method can minimize the total system delay on the premise of meeting the data requirements at the same time. Improve the wireless network experience quality of the entire system. The present invention is applied to wireless networks, such as figure 1 in the scene shown. Designing an optimization method for this problem includes the following steps:

[0125] (1) There is a mobile user i under the coverage of a group of base stations integrated with edge servers, and the base station uses the set It means that mobile users use non-orthogonal multiple access technology to send data to the base station at the same time, and the amount of data that mobile users need to proces...

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Abstract

A non-orthogonal multiple access-based mobile edge computing Brent-style delay optimization method in a multi-base station scenario, including the following steps: (1) There is a mobile network under the coverage of the BSs of the integrated edge server User, the optimization problem is described as a multivariate non-convex optimization problem; (2) Decompose the problem (DM‑i) into two layers of optimization problems; (3) According to the underlying DM‑i‑E‑Sub problem, a pull-based The binary search method of the Grangian multiplier method, at the transmission time t of the mobile user i i In the case of optimizing the overall delay of mobile user i; (4) Aiming at the top-level DM‑i‑E‑Top problem, a Brent method is proposed to optimize the transmission time t of mobile user i i ; (5) Solve the problem (DM‑i) through the interactive iteration of the bottom problem and the top problem. The present invention improves system transmission efficiency, saves bandwidth resources, and obtains better wireless network experience quality.

Description

technical field [0001] The invention relates to a non-orthogonal multiple access-based mobile edge computing Brent delay optimization method in a multi-base station scenario in a wireless network. Background technique [0002] The rapid development of cellular systems and mobile Internet services has produced a variety of computing-intensive applications, putting great pressure on mobile terminals with limited computing resources. Mobile edge computing (Mobile Edge Computing, MEC) enables mobile users (Mobile Users, MUs) to offload their computing tasks to cloud servers (such as base stations (Base Stations, BSs)) located at the edge of the cellular network. Challenging problems offer a promising approach. Considering the advantages of high transmission efficiency provided by Non-orthogonal Multiple Access (NOMA), we propose a non-orthogonal multiple access-based mobile edge computing Brent time delay optimization method. Contents of the invention [0003] The present i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W24/02H04W28/02
CPCH04W24/02H04W28/0236
Inventor 吴远倪克杰陈相旭张成钱丽萍黄亮
Owner ZHEJIANG UNIV OF TECH
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