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Novel User Pairing and Optimal Power Allocation for Single Carrier NOMA System

International Journal of Electrical and Electronics Engineering
© 2024 by SSRG - IJEEE Journal
Volume 11 Issue 6
Year of Publication : 2024
Authors : Najuk Parekh, Rutvij Joshi, Twinkle Doshi, Sorum Kotia
10.14445/23488379/IJEEE-V11I6P113
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How to Cite?

Najuk Parekh, Rutvij Joshi, Twinkle Doshi, Sorum Kotia, "Novel User Pairing and Optimal Power Allocation for Single Carrier NOMA System," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 117-129, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P113

Abstract:

Non-Orthogonal Multiple Access (NOMA) appears to be a favorable technique for meeting the requirements of the next generation of wireless communication networks. This paper addresses the challenge of an abundant number of users and their power allocation, which is solved using a Genetic Algorithm (GA). Users are paired in groups of two and clusters of three in a single radio resource block using the proposed Novel User Pairing Algorithm (NUPA). The main goal is to maximize the capacity of the system under minimum rate constraints. The proposed NUPA NOMA system model is tested with different power allocation schemes. It is observed that the NUPA with GA system outperforms other conventional user pairing approaches and power allocation schemes such as fixed power allocation, fractional transmit power allocation, and orthogonal multiple access technique power allocation in terms of maximization of the capacity. Simulation results show that the NOMA system with a Novel User Pairing Algorithm and Genetic Algorithm-based power allocation obtains better results in terms of capacity.

Keywords:

5G, GA, Instantaneous CSI, Power allocation, User pairing.

References:

[1] Oguz Kucur et al., “Nonorthogonal Multiple Access for 5G and Beyond,” Wireless Communications and Mobile Computing, vol. 2018, pp. 1-2, 2018.
[CrossRef] [Publisher Link]
[2] Razieh Razavi, Mehrdad Dianati, and Muhammad Ali Imran, “Non-Orthogonal Multiple Access (NOMA) for Future Radio Access,” 5G Mobile Communications, pp. 135-163, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Mohammad Moltafet et al., “Comparison Study between PD-NOMA and SCMA,” IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1830-1834, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Mohamed M. El-Sayed, Ahmed S. Ibrahim, and Mohamed M. Khairy, “Power Allocation Strategies for Non-Orthogonal Multiple Access,” 2016 International Conference on Selected Topics in Mobile & Wireless Networking (MoWNeT), Cairo, Egypt, pp. 1-6, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Zhiguo Ding, Pingzhi Fan, and H. Vincent Poor, “Impact of User Pairing on 5G Non-Orthogonal Multiple Access Downlink Transmissions,” IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6010-6023, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Ji-Hwan Kim, Won-Seok Lee, and Hyoung-Kyu Song, “Performance Enhancement Using Receive Diversity with Power Adaptation in the NOMA System,” IEEE Access, vol. 7, pp. 102867-102875, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Wajd Fahad Alghasmari, and Laila Nassef, “Power Allocation Evaluation for Downlink Non-Orthogonal Multiple Access (NOMA),” International Journal of Advanced Computer Science and Applications, vol. 11, no. 4, pp. 126-132, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Kaan Zorluer, Omer Faruk Gemici, Sinan Kivrak, “Genetic Algorithm Based User Paıring for NOMA Downlink Systems,” International Journal of Electrical, Electronics and Data Communication, vol. 8, no. 3, pp. 1-6, 2020.
[Publisher Link]
[9] H. Haleema Sadia, Muhammad Zeeshan, and Shahzad Amin Sheikh, “Performance Analysis of Downlink Power Domain NOMA under Fading Channels,” 2018 ELEKTRO, Mikulov, Czech Republic, pp. 1-6, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Nagisa Otao, Yoshihisa Kishiyama, and Kenichi Higuchi, “Performance of Non-orthogonal Access with SIC in Cellular Downlink Using Proportional Fair-Based Resource Allocation,” IEICE Transactions on Communications, vol. E98-B, no. 2, pp. 344-351, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Yaru Fu et al., “Subcarrier and Power Allocation for the Downlink of Multicarrier NOMA Systems,” IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 11833-11847, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Aiman Kassir et al., “Power Domain Non Orthogonal Multiple Access: A Review,” 2018 2nd International Conference on Telematics and Future Generation Networks (TAFGEN), Kuching, Malaysia, pp. 66-71, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Lei Lei et al., “Power and Channel Allocation for Non-Orthogonal Multiple Access in 5G Systems: Tractability and Computation,” IEEE Transactions on Wireless Communications, vol. 15, no. 12, pp. 8580-8594, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Fei Liu, and Marina Petrova, “Dynamic Power Allocation for Downlink Multi-Carrier NOMA Systems,” IEEE Communications Letters, vol. 22, no. 9, pp. 1930-1933, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Xian Tian Luo et al., “Research on Power Allocation Algorithm in Non-Orthogonal Multiple Access Systems,” 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), Xi'an, China, pp. 1084-1089, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Lipeng Zhu et al., “Optimal User Pairing for Downlink Non-Orthogonal Multiple Access (NOMA),” IEEE Wireless Communications Letters, vol. 8, no. 2, pp. 328-331, 2019.
[CrossRef] [Google Scholar] [Publisher Link] 
[17] Zain Ali et al., “Joint User Pairing, Channel Assignment and Power Allocation in NOMA Based CR Systems,” Applied Sciences, vol. 9, no. 20, pp. 1-17, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Jae-Mo Kang, and Il-Min Kim, “Optimal User Grouping for Downlink NOMA,” IEEE Wireless Communications Letters, vol. 7, no. 5, pp. 724-727, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[19] MD Shipon Ali, Hina Tabassum, and Ekram Hossain, “Dynamic User Clustering and Power Allocation for Uplink and Downlink NonOrthogonal Multiple Access (NOMA) Systems,” IEEE Access, vol. 4, pp. 6325-6343, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Hanliang You et al., “User Clustering Scheme for Downlink Hybrid NOMA Systems Based on Genetic Algorithm,” IEEE Access, vol. 8, pp. 129461-129468, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Wei Liang et al., “User Pairing for Downlink Non-Orthogonal Multiple Access Networks Using Matching Algorithm,” IEEE Transactions on Communications, vol. 65, no. 12, pp. 5319-5332, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Jaehee Lee, and Jaewoo So, “Reinforcement Learning-Based Joint User Pairing and Power Allocation in Mimo-Noma Systems,” Sensors, vol. 20, no. 24, pp. 1-16, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Omer Faruk Gemici et al., “Resource Allocation NOMA for Downlink Systems: Genetic Algorithm Approach,” 2017 40th International Conference on Telecommunications and Signal Processing (TSP), Barcelona, Spain, pp. 114-118, 2017.
[CrossRef] [Google Scholar] [Publisher Link]