RIS-Assisted Fixed NOMA: Outage Probability Analysis and Transmit Power Optimization

Author:

Kumaravelu Vinoth Babu1ORCID,Imoize Agbotiname Lucky23ORCID,Soria Francisco R. Castillo4ORCID,Velmurugan Periyakarupan Gurusamy Sivabalan5ORCID,Thiruvengadam Sundarrajan Jayaraman5,Do Dinh-Thuan6,Murugadass Arthi7ORCID

Affiliation:

1. Department of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India

2. Department of Electrical and Electronics Engineering, Faculty of Engineering, University of Lagos, Akoka, Lagos 100213, Nigeria

3. Department of Electrical Engineering and Information Technology, Ruhr University, 44801 Bochum, Germany

4. Telecommunications Department, Faculty of Science, Autonomous University of San Luis Potosí (UASLP), San Luis Potosí 78300, Mexico

5. Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai 625015, Tamil Nadu, India

6. Department of Computer Science and Information Engineering, College of Information and Electrical Engineering, Asia University, Taichung 41354, Taiwan

7. Department of Computer Science and Engineering (AI & ML), Sreenivasa Institute of Technology and Management Studies, Chittoor 517127, Andhra Pradesh, India

Abstract

Reconfigurable intelligent surface (RIS)-assisted non-orthogonal multiple access (NOMA) has the ability to overcome the challenges of the wireless environment like random fluctuations, shadowing, and mobility in an energy efficient way when compared to multiple input-multiple output (MIMO)-NOMA systems. The NOMA system can deliver controlled channel gains, improved coverage, increased energy efficiency, and enhanced fairness in resource allocation with the help of RIS. RIS-assisted NOMA will be one of the primary potential components of sixth-generation (6G) networks, due to its appealing advantages. The analytical outage probability expressions for smart RIS-assisted fixed NOMA (FNOMA) are derived in this paper, taking into account the instances of RIS as a smart reflector (SR) and an access point (AP). The analytical and simulation findings are found to be extremely comparable. In order to effectively maximize the sum capacity, the formulas for optimal powers to be assigned for a two-user case are also established. According to simulations, RIS-assisted FNOMA surpasses FNOMA in terms of outage and sum capacity. With the aid of RIS and the optimal power assignment, RIS-AP-FNOMA offers ≈62% improvement in sum capacity over the FNOMA system for a signal-to-noise ratio (SNR) of 10 dB and 32 elements in RIS. A significant improvement is also brought about by the increase in reflective elements.

Funder

Nigerian Petroleum Technology Development Fund

German Academic Exchange Service

Publisher

MDPI AG

Subject

Computer Networks and Communications

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Performance Analysis of Hybrid Relay RIS-Assisted NOMA Networks;2024 International Telecommunications Conference (ITC-Egypt);2024-07-22

2. Machine Learning Strategies for Reconfigurable Intelligent Surface-Assisted Communication Systems—A Review;Future Internet;2024-05-17

3. User Pairing Strategies for Downlink Reconfigurable Intelligent Surfaces-assisted Hybrid NOMA;2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT);2024-05-03

4. Performance of IRS-Assisted NOMA Communication with Dynamic IRS Allocation;2024 IEEE Wireless Communications and Networking Conference (WCNC);2024-04-21

5. A Survey on Resource Allocation and Energy Efficient Maximization for IRS-Aided MIMO Wireless Communication;IEEE Access;2024

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3