Performance Evaluation of MIMO-NOMA for the Next Generation Wireless Communications

R. Chandrasekhar, R. Navya, P. Kumari, K. Kausal, V. Bharathi, Poonam Singh
{"title":"Performance Evaluation of MIMO-NOMA for the Next Generation Wireless Communications","authors":"R. Chandrasekhar, R. Navya, P. Kumari, K. Kausal, V. Bharathi, Poonam Singh","doi":"10.1109/ICSPC51351.2021.9451780","DOIUrl":null,"url":null,"abstract":"The principal objective of this paper is the performance evaluation of Multi-Input Multi-Output Non-Orthogonal Multiple Access (MIMO-NOMA) for Next Generation Wireless Communication Systems. The efficiency of the MIMO-NOMA technique over Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) is examined by using distinct parameters, in particular, Power Allocation (PA), Bit Error Rate (BER), Outage Probability (OP), and Channel Capacity (CC). A system model for MIMO is assumed for the two-user scenario. A Rayleigh fading channel is assumed between the Transmitter and the receiver. By using Rayleigh fading channel coefficients, calculated the achievable rates and SNR equations for all techniques and then compared each parameter with others. Finally, the simulation results are provided to facilitate the performance analysis of MIMO-NOMA for a next-generation wireless communication system and also demonstrate the accuracy of the developed analytical results.","PeriodicalId":182885,"journal":{"name":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","volume":"9 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Signal Processing and Communication (ICPSC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPC51351.2021.9451780","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

The principal objective of this paper is the performance evaluation of Multi-Input Multi-Output Non-Orthogonal Multiple Access (MIMO-NOMA) for Next Generation Wireless Communication Systems. The efficiency of the MIMO-NOMA technique over Non-Orthogonal Multiple Access (NOMA) and Orthogonal Multiple Access (OMA) is examined by using distinct parameters, in particular, Power Allocation (PA), Bit Error Rate (BER), Outage Probability (OP), and Channel Capacity (CC). A system model for MIMO is assumed for the two-user scenario. A Rayleigh fading channel is assumed between the Transmitter and the receiver. By using Rayleigh fading channel coefficients, calculated the achievable rates and SNR equations for all techniques and then compared each parameter with others. Finally, the simulation results are provided to facilitate the performance analysis of MIMO-NOMA for a next-generation wireless communication system and also demonstrate the accuracy of the developed analytical results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
面向下一代无线通信的MIMO-NOMA性能评估
本文的主要目标是下一代无线通信系统中多输入多输出非正交多址(MIMO-NOMA)的性能评价。通过使用不同的参数,特别是功率分配(PA)、误码率(BER)、中断概率(OP)和信道容量(CC),来检验MIMO-NOMA技术相对于非正交多址(NOMA)和正交多址(OMA)的效率。对于双用户场景,假设MIMO的系统模型。在发射机和接收机之间假定有一个瑞利衰落信道。利用瑞利衰落信道系数,计算了各种技术的可实现速率和信噪比方程,并对各参数进行了比较。最后,给出了仿真结果,为下一代无线通信系统MIMO-NOMA的性能分析提供了便利,并验证了分析结果的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Investigation on Maternal and Fetal Heart Signal Extraction Using Adaptive Filtering Techniques and Integrating with Block Sparse Bayesian Learning Implementation of Machine Learning Algorithms For Human Activity Recognition Study on Public Chest X-ray Data sets for Lung Disease Classification Optimized Transmission Line Flaw Disclosure and Inkling System Based on IOT CNN Architecture for Diabetes Classification
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1