Network media streaming offloading algorithm based on QoE in mobile edge network

被引：0
|
作者：
Wang Z. [1 ,2 ]
Cheng H. [1 ,2 ]
机构：
[1] School of Physics and Electronic Information, Anhui Normal University, Wuhu
[2] Anhui Engineering Research Center on Information Fusion and Control of Intelligent Robot, Wuhu
来源：
Tongxin Xuebao/Journal on Communications | 2024年 / 45卷 / 02期
关键词：
computing offloading; Lagrange multiplier method; mobile edge computing; network media streaming; quality of experience;
D O I：
10.11959/j.issn.1000-436x.2024035
中图分类号：
学科分类号：
摘要：
Aiming at the problems of high-latency, high energy consumption, high bandwidth, and poor quality of experience (QoE) caused by emerging network media streaming business in mobile edge computing, a computing offloading algorithm based on QoE feedback configuration was proposed. Firstly, both preprocessing and priority were comprehensively considered to maximize network resource utilization. Meanwhile, different weights were assigned to the computation tasks for establishing a resource allocation relationship. Secondly, after comprehensively taking into account deadline, computing resource, power and bandwidth constraint, an QoE model was established where the optimization objective was the weighted sum of task delay, energy consumption and precision, and the method of Lagrange multipliers was utilized to solve the established model. Simulation results indicate that, compared with the deep reinforcement learning-based online offloading algorithm, the proposed algorithm can effectively optimize the resource allocation and better improve the QoE. © 2024 Editorial Board of Journal on Communications. All rights reserved.
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页码：201 / 212
页数：11
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