谷博文,
谢豪,
陈前斌
重庆邮电大学通信与信息工程学院 重庆 400065
基金项目:国家自然科学基金(61601071)，重庆市自然科学基金(cstc2019jcyj-xfkxX0002)，重庆市研究生科研创新项目(CYS20251, CYS20253)
详细信息
作者简介:徐勇军：男，1986年生，副教授，硕士生导师，研究方向为移动边缘计算、云计算、异构无线网络资源分配
谷博文：男，1996年生，硕士生，研究方向为中继通信、移动边缘计算、无线资源分配
谢豪：男，1997年生，硕士生，研究方向为异构无线网络资源分配、移动边缘计算
陈前斌：男，1967年生，教授，博士生导师，研究方向为无线通信、多媒体信息传输与处理
通讯作者:徐勇军 xuyj@cqupt.edu.cn
1)基于自干扰消除技术，本文假设干扰消除残留项可以建模为噪声功率。中图分类号:TN915
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被引次数:0
出版历程
收稿日期:2020-11-02
录用日期:2021-11-05
修回日期:2021-09-23
网络出版日期:2021-11-09
刊出日期:2021-12-21
Energy Consumption Optimization Algorithm for Full-Duplex Relay-Assisted Mobile Edge Computing Systems
Yongjun XU,,Bowen GU,
Hao XIE,
Qianbin CHEN
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Funds:The National Natural Science Foundation of China (61601071), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Graduate ScientifiC Research Innovation Project of Chongqing (CYS20251, CYS20253)
摘要
摘要:为缓解终端设备处理大数据量、低时延业务的压力，该文提出一种基于全双工中继的移动边缘计算网络资源分配算法。首先，在满足计算任务时延约束、用户最大计算能力、用户和中继的最大发射功率约束条件下，考虑中继选择与子载波分配因子、用户任务卸载系数、用户与中继的传输功率的联合优化，建立了系统总能耗最小化问题。其次，利用交替迭代和变量代换的方法，将原非凸问题分解为两个凸优化子问题，并利用内点法和拉格朗日对偶原理分别进行求解。仿真结果表明，所提算法具有较低的能量消耗。
关键词:全双工中继/
移动边缘计算/
资源分配
Abstract:In order to alleviate the pressure of terminal devices to deal with the big-data and low-delay services, a resource allocation algorithm is studied for mobile edge computing networks with full-duplex relays. Firstly, the constraints of the maximum task latency, the maximum computing ability of users, and the maximum transmit power of users and relays are considered for achieving total energy consumption minimization by jointly optimizing the relay selection and subcarrier allocation factor, user task offloading coefficient, and the transmission power of users and relays. Secondly, based on the alternating iteration method and the variable-substitution approach, the originally non-convex problem is decomposed into two convex subproblems, which are solved by using the interior-point method and Lagrange dual theory, respectively. Simulation results show that the proposed algorithm has low energy consumption.
Key words:Full-duplex based relays/
Mobile edge computing/
Resource allocation
注释:
1) 1)基于自干扰消除技术，本文假设干扰消除残留项可以建模为噪声功率。
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