基于NOMA的超密集MEC网络任务卸载和资源分配方案

doi:10.11959/j.issn.1000-0801.2022033

电信科学 ›› 2022, Vol. 38 ›› Issue (2): 35-46.doi: 10.11959/j.issn.1000-0801.2022033

基于NOMA的超密集MEC网络任务卸载和资源分配方案

绳韵¹^,², 许晨², 郑光远³

¹ 华北电力大学电气与电子工程学院，北京 102206
² 北京邮电大学人工智能学院，北京 100876
³ 华南理工大学电子与信息学院，广东广州 510641

修回日期:2022-02-09 出版日期:2022-02-20 发布日期:2022-02-01
作者简介:绳韵（1998- ），女，华北电力大学电气与电子工程学院硕士生，主要研究方向为移动边缘计算网络中的资源管理
许晨（1988- ），女，博士，北京邮电大学人工智能学院副研究员、博士生导师，主要研究方向为智能网络优化、协作通信与计算、未来移动通信系统
郑光远（1996- ），男，华南理工大学电子与信息学院博士生，主要研究方向为移动边缘计算网络中的资源分配、能量管理和干扰管理
基金资助:
国家自然科学基金资助项目(62071179);北京市科技新星计划项目(Z191100001119124);中央高校基本科研业务费专项资金资助项目(2019MS009)

Task offloading and resource allocation in NOMA-based ultra-dense MEC networks

Yun SHENG¹^,², Chen XU², Guangyuan ZHENG³

¹ School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China
² School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China
³ School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China

Revised:2022-02-09 Online:2022-02-20 Published:2022-02-01
Supported by:
The National Natural Science Foundation of China(62071179);The Beijing Nova Program of Science and Technology(Z191100001119124);The Fundamental Research Funds for the Central Universities(2019MS009)

摘要/Abstract

摘要：

为了提高移动边缘计算（mobile edge computing，MEC）网络的频谱效率，满足大量用户的服务需求，建立了基于非正交多址接入（non-orthogonal multiple access，NOMA）的超密集MEC系统模型。为了解决多个用户同时卸载带来的严重通信干扰等问题，以高效利用边缘服务器资源，提出了一种联合任务卸载和资源分配的优化方案，在满足用户服务质量的前提下最小化系统总能耗。该方案联合考虑了卸载决策、功率控制、计算资源和子信道资源分配。仿真结果表明，与其他卸载方案相比，所提方案可以在满足用户服务质量的前提下有效降低系统能耗。

关键词: 移动边缘计算, 非正交多址接入, 任务卸载, 资源分配

Abstract:

In order to improve spectrum efficiency and meet the service demands of massive users, a non-orthogonal multiple access (NOMA)-based ultra-dense mobile edge computing (MEC) system was considered.In order to solve the serious communication interference caused by simultaneous offloading of multiple users and make efficient use of edge server resources, a joint task offloading and resource allocation scheme was proposed to minimize the system energy consumption while meeting the quality of service (QoS) of all users.Offloading decision, power control, computation resource and subchannel resource allocation were jointly considered in the proposed scheme.Simulations results show that the proposed scheme can efficiently lower system energy consumption compared to the other offloading schemes.

Key words: MEC, NOMA, task offloading, resource allocation

中图分类号:

TN929.5

绳韵, 许晨, 郑光远. 基于NOMA的超密集MEC网络任务卸载和资源分配方案[J]. 电信科学, 2022, 38(2): 35-46.

Yun SHENG, Chen XU, Guangyuan ZHENG. Task offloading and resource allocation in NOMA-based ultra-dense MEC networks[J]. Telecommunications Science, 2022, 38(2): 35-46.

图/表 8

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仿真参数	数值
用户最大传输功率/dBm	23
带宽/MHz	1
噪声功率/dBm	-80
子信道数量	4
小基站数量	4-8
小基站计算能力/(吉周期/s)	2.5
用户最大计算能力/(吉周期/s)	[0.1, 1]
单位比特任务所需CPU周期数/(周期/bit)	[100, 200]
输入数据大小/kbit	[100, 200]
任务最大容忍时延/ms	100

基于NOMA的超密集MEC网络任务卸载和资源分配方案

Task offloading and resource allocation in NOMA-based ultra-dense MEC networks

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