Research on Energy Consumption Minimization for a Data Compression Based NOMA-MEC System

被引：0
|
作者：
Shi, Liqin [1 ]
Liu, Xuan [1 ]
Lu, Guangyue [1 ]
机构：
[1] Shaanxi Key Laboratory of Information Communication Network and Security, Xi’an University of Posts and Telecommunications, Xi’an
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2024年 / 46卷 / 07期
基金：
中国国家自然科学基金;
关键词：
Energy consumption minimization; NOMA; Partial compression; Resource allocation;
D O I：
10.11999/JEIT231033
中图分类号：
学科分类号：
摘要：
The system energy consumption minimization problem is studied for a data compression based Non-Orthogonal Multiple Access-Mobile Edge Computing (NOMA-MEC) system. Considering the partial compression and offloading schemes and the limited computation capacity at the base station, a system energy consumption minimization optimization problem is formulated by jointly optimizing the users’ data compression and offloading ratios, transmit power, data compression time, etc. In order to solve this problem, closed-form expression of each user’s optimal transmit power is firstly derived. Then the Successive Convex Approximation (SCA) method is used to approximate the non-convex constraints of the formulated problem, and An SCA based efficient iterative algorithm is proposed to solve the formulated problem, obtaining the optimal resource allocation scheme of the system. Finally, the simulation results verify the advantages of the proposed scheme via computer simulations and show that compared with other benchmark schemes, the proposed scheme can effectively reduce the system energy consumption. © 2024 Science Press. All rights reserved.
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页码：2888 / 2897
页数：9
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