以用户为中心的超密集网络中基于MIMO-NOMA和回程波束形成的能源效率和资源分配优化

Q3 Mathematics
M. Ravi, T. Sheikh, Y. Bulo
{"title":"以用户为中心的超密集网络中基于MIMO-NOMA和回程波束形成的能源效率和资源分配优化","authors":"M. Ravi, T. Sheikh, Y. Bulo","doi":"10.2174/2210327913666221021110816","DOIUrl":null,"url":null,"abstract":"\n\nNon-orthogonal multiple access (NOMA) is viewed as the key multiple access technology for 5G and beyond networks, attracting the attention of academics and Industries. NOMA and the multiple input multiple output (MIMO-NOMA) technology can improve a system’s throughput, latency, and energy efficiency (EE) in future-generation communication networks.\n\n\n\nThe objective of this paper is to achieve maximum EE by applying the Max-min Power Control Algorithm (MMPCA) through sub-channel optimization, resource allocation (RA) optimization, access point selection (APS), and user association. The EE results obtained with and without using MMPCA are compared to the RA optimization from a conventional water-filling algorithm (WFA).\n\n\n\nThis paper formulates a framework for user-centric (UC) joint resource allocation, such as backhaul connection via beam-forming and Access point AP to user connection via MIMO-NOMA. The user without interference is decoded using the NOMA principle. The MMPCA was also used to optimize cooperative power allocation, sub-channel allocation, and efficient user association. The RA for EE is framed as a mixed non-convex and non-linear function using successive convex approximation and sum ratio decoupling convert in convex and linear. A bisection method was used to achieve optimal RA, user association, and sub-channel assignment.\n\n\n\nThe simulation shows energy efficiency (EE) improvement. Similarly, it is observed that MMPCA outperforms the WFA.\n","PeriodicalId":37686,"journal":{"name":"International Journal of Sensors, Wireless Communications and Control","volume":"98 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Efficiency and Resource Allocation Optimization with MIMO-NOMA and Backhaul Beam-Forming in User Centric Ultra Dense Networks\",\"authors\":\"M. Ravi, T. Sheikh, Y. Bulo\",\"doi\":\"10.2174/2210327913666221021110816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n\\nNon-orthogonal multiple access (NOMA) is viewed as the key multiple access technology for 5G and beyond networks, attracting the attention of academics and Industries. NOMA and the multiple input multiple output (MIMO-NOMA) technology can improve a system’s throughput, latency, and energy efficiency (EE) in future-generation communication networks.\\n\\n\\n\\nThe objective of this paper is to achieve maximum EE by applying the Max-min Power Control Algorithm (MMPCA) through sub-channel optimization, resource allocation (RA) optimization, access point selection (APS), and user association. The EE results obtained with and without using MMPCA are compared to the RA optimization from a conventional water-filling algorithm (WFA).\\n\\n\\n\\nThis paper formulates a framework for user-centric (UC) joint resource allocation, such as backhaul connection via beam-forming and Access point AP to user connection via MIMO-NOMA. The user without interference is decoded using the NOMA principle. The MMPCA was also used to optimize cooperative power allocation, sub-channel allocation, and efficient user association. The RA for EE is framed as a mixed non-convex and non-linear function using successive convex approximation and sum ratio decoupling convert in convex and linear. A bisection method was used to achieve optimal RA, user association, and sub-channel assignment.\\n\\n\\n\\nThe simulation shows energy efficiency (EE) improvement. Similarly, it is observed that MMPCA outperforms the WFA.\\n\",\"PeriodicalId\":37686,\"journal\":{\"name\":\"International Journal of Sensors, Wireless Communications and Control\",\"volume\":\"98 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Sensors, Wireless Communications and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/2210327913666221021110816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Mathematics\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Sensors, Wireless Communications and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/2210327913666221021110816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

摘要

非正交多址(NOMA)被视为5G及以后网络的关键多址技术,引起了学术界和产业界的关注。NOMA和MIMO-NOMA技术可以在下一代通信网络中提高系统的吞吐量、延迟和能效(EE)。本文的目标是通过子信道优化、资源分配(RA)优化、接入点选择(APS)和用户关联,应用最大最小功率控制算法(MMPCA)实现最大的EE。将使用和不使用MMPCA的EE结果与传统充水算法(WFA)的RA优化结果进行了比较。本文提出了一种以用户为中心的联合资源分配框架,如通过波束形成的回程连接和通过MIMO-NOMA的接入点AP到用户的连接。无干扰用户使用NOMA原理解码。该算法还用于优化协同功率分配、子信道分配和高效用户关联。利用连续凸近似和凸线性和比例解耦转换,将EE的RA构建为非凸和非线性混合函数。采用对分法实现最优RA、用户关联和子信道分配。仿真结果表明,能效得到了提高。同样,可以观察到MMPCA优于WFA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy Efficiency and Resource Allocation Optimization with MIMO-NOMA and Backhaul Beam-Forming in User Centric Ultra Dense Networks
Non-orthogonal multiple access (NOMA) is viewed as the key multiple access technology for 5G and beyond networks, attracting the attention of academics and Industries. NOMA and the multiple input multiple output (MIMO-NOMA) technology can improve a system’s throughput, latency, and energy efficiency (EE) in future-generation communication networks. The objective of this paper is to achieve maximum EE by applying the Max-min Power Control Algorithm (MMPCA) through sub-channel optimization, resource allocation (RA) optimization, access point selection (APS), and user association. The EE results obtained with and without using MMPCA are compared to the RA optimization from a conventional water-filling algorithm (WFA). This paper formulates a framework for user-centric (UC) joint resource allocation, such as backhaul connection via beam-forming and Access point AP to user connection via MIMO-NOMA. The user without interference is decoded using the NOMA principle. The MMPCA was also used to optimize cooperative power allocation, sub-channel allocation, and efficient user association. The RA for EE is framed as a mixed non-convex and non-linear function using successive convex approximation and sum ratio decoupling convert in convex and linear. A bisection method was used to achieve optimal RA, user association, and sub-channel assignment. The simulation shows energy efficiency (EE) improvement. Similarly, it is observed that MMPCA outperforms the WFA.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
International Journal of Sensors, Wireless Communications and Control
International Journal of Sensors, Wireless Communications and Control Engineering-Electrical and Electronic Engineering
CiteScore
2.20
自引率
0.00%
发文量
53
期刊介绍: International Journal of Sensors, Wireless Communications and Control publishes timely research articles, full-length/ mini reviews and communications on these three strongly related areas, with emphasis on networked control systems whose sensors are interconnected via wireless communication networks. The emergence of high speed wireless network technologies allows a cluster of devices to be linked together economically to form a distributed system. Wireless communication is playing an increasingly important role in such distributed systems. Transmitting sensor measurements and control commands over wireless links allows rapid deployment, flexible installation, fully mobile operation and prevents the cable wear and tear problem in industrial automation, healthcare and environmental assessment. Wireless networked systems has raised and continues to raise fundamental challenges in the fields of science, engineering and industrial applications, hence, more new modelling techniques, problem formulations and solutions are required.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信