孙有铭2, 3,,,
蔡佶昊3
1.洛阳理工学院 洛阳 471023
2.中国人民解放军61062部队 北京 100089
3.陆军工程大学 南京 210007
基金项目:国家自然科学基金(61901518),河南省科技攻关项目(192102210249),河南省高等学校重点项目(19B510007)
详细信息
作者简介:邵鸿翔:男,1983年生,博士,讲师,研究方向为异构无线网络资源分配、博弈论、电磁频谱管理
孙有铭:男,1988年生,博士,工程师,研究方向为空地一体异构网络资源分配、博弈学习和电磁频谱管理
蔡佶昊:男,1997年生,硕士生,研究方向为博弈学习理论和无线通信系统中的资源优化
通讯作者:孙有铭 sunyouming10@163.com
中图分类号:TN929.5计量
文章访问数:531
HTML全文浏览量:170
PDF下载量:37
被引次数:0
出版历程
收稿日期:2020-01-09
修回日期:2020-06-29
网络出版日期:2020-07-22
刊出日期:2021-04-20
QoE-based Resource Allocation for Multi-cell Hybrid NOMA Networks
Hongxiang SHAO1,Youming SUN2, 3,,,
Jihao CAI3
1. Luoyang Institute of Science and Technology, Luoyang 471023, China
2. PLA No.61062 Troop, Beijing 100089, China
3. College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
Funds:The National Natural Science Foundation of China (61901518), The Science and Technology Breakthrough Project of Henan Science and Technology Department (192102210249), The Key Projects of Colleges and Universities in Henan Province (19B510007)
摘要
摘要:该文研究了多小区混合非正交多址接入(MC-hybrid NOMA)网络的资源分配。为满足异构用户的服务体验,以最大化全网综合平均意见评分(MOS)累加和为目标,考虑基站选择、信道接入和功率资源分配的联合优化问题,该文提出一种用户、基站和信道3方的2阶段转移匹配算法,并根据用户MOS进行子信道功率优化。仿真结果表明所提多小区混合NOMA网络资源分配方案能有效提升全网用户服务体验和公平性。
关键词:混合非正交多址接入/
体验质量/
资源分配/
匹配博弈
Abstract:Resource allocation in Multi-Cell hybrid Non-Orthogonal Multiple Access-orthogonal multiple access (MC-hybrid NOMA) networks is studied in this paper. To satisfy the Quality of Experience (QoE) of different service types of users, an algorithm joint user-BS association, sub-channel assignment and power allocation is proposed to maximize the sum Mean Opinion Scores (MOSs) of users in the networks. A low-complexity two-step approach based on matching game theory and developed power allocation strategy based on QoE proportional fairness are proposed. Simulation results demonstrate that the proposed algorithm can effectively improve the system performance and fairness.
Key words:Hybrid NOMA/
Quality of Experience (QoE)/
Resource allocation/
Matching game
PDF全文下载地址:
https://jeit.ac.cn/article/exportPdf?id=02c22e60-8ab2-4aac-b6cf-719d3c680302