Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)

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Performance Analysis of RIS-Aided NOMA Networks in α-µ & κ-µ Generalized Fading Channel

Authors
Aaditya Prakash Kattekola1, *, Sanjana Dontha1, Anuradha Sundru1
1Department of Electronics and Communication Engineering, National Institute of Technology, Warangal, India
*Corresponding author. Email: kattek_811981@student.nitw.ac.in
Corresponding Author
Aaditya Prakash Kattekola
Available Online 9 November 2023.
DOI
10.2991/978-94-6463-252-1_95How to use a DOI?
Keywords
Reconfigurable Intelligent Surfaces; Non-Orthogonal Multiple Access; Generalized Fading Channels; 5G & Beyond 5G Networks
Abstract

For forthcoming 5G networks, Non-Orthogonal Multiple Access (NOMA) is a very promising technique. And in today’s world, Line of Sight communication is becoming increasingly harder to achieve. Hence, technologies like Reconfigurable Intelligent Surfaces (RIS) emerge. RIS-aided NOMA network is a widely researched implementation of RIS. The environment where these networks are employed are non-homogeneous & non-linear in nature. The effectiveness of these systems must thus be evaluated using generalized fading channels. In this paper, the performance of a RIS-aided NOMA is compared with conventional NOMA in α-µ & κ-µ channels. This paper also shows that the well-known fading distribution are special cases of these generalized fading channels, both analytically and through simulation.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
Series
Advances in Engineering Research
Publication Date
9 November 2023
ISBN
10.2991/978-94-6463-252-1_95
ISSN
2352-5401
DOI
10.2991/978-94-6463-252-1_95How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aaditya Prakash Kattekola
AU  - Sanjana Dontha
AU  - Anuradha Sundru
PY  - 2023
DA  - 2023/11/09
TI  - Performance Analysis of RIS-Aided NOMA Networks in α-µ & κ-µ Generalized Fading Channel
BT  - Proceedings of the Second International Conference on Emerging Trends in Engineering (ICETE 2023)
PB  - Atlantis Press
SP  - 944
EP  - 951
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-252-1_95
DO  - 10.2991/978-94-6463-252-1_95
ID  - Kattekola2023
ER  -