Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks
Fifth-generation (5G) networks are designed to overcome critical challenges, including achieving high data rates, supporting massive device connectivity, and ensuring low latency. Non-Orthogonal Multiple Access (NOMA) significantly enhances spectral efficiency and network capacity within this framew...
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| Language: | English |
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Taylor & Francis Group
2025-01-01
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| Series: | Journal of Information and Telecommunication |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/24751839.2025.2454056 |
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| author | Inam Abousaber Amira A. Mohamed Haitham F. Abdallah |
| author_facet | Inam Abousaber Amira A. Mohamed Haitham F. Abdallah |
| author_sort | Inam Abousaber |
| collection | DOAJ |
| description | Fifth-generation (5G) networks are designed to overcome critical challenges, including achieving high data rates, supporting massive device connectivity, and ensuring low latency. Non-Orthogonal Multiple Access (NOMA) significantly enhances spectral efficiency and network capacity within this framework. NOMA has a problem with a high Peak-to-Average Power Ratio (PAPR). This creates nonlinear distortion, reduces power amplifier efficiency, and increases out-of-band radiation, making it less useful in 5G and B5G networks. To address this, two PAPR reduction methods are proposed: Improved Salp Swarm Algorithm-based Partial Transmit Sequence (PTS-ISSA) and Iterative Sub-block Phase Rotation (ISPR). PTS-ISSA minimizes PAPR by phase rotation of sub-blocks, offering the best reduction but at higher computational complexity, making it ideal for systems with abundant resources. ISPR, on the other hand, employs iterative phase rotation without side information, balancing performance with lower complexity, making it suitable for resource-constrained applications. Evaluated under Rician fading and AWGN channels, both methods outperform traditional techniques in PAPR reduction and Bit Error Rate (BER) performance. While PTS-ISSA is optimal for high-performance systems, ISPR serves lightweight, real-time applications. These methodologies show potential for the next-generation wireless networks, supporting scenarios from IoT to ultra-reliable low-latency communications by optimizing the trade-off between performance and complexity. |
| format | Article |
| id | doaj-art-e43700a54a84474ea26e59276350b479 |
| institution | Kabale University |
| issn | 2475-1839 2475-1847 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Taylor & Francis Group |
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| series | Journal of Information and Telecommunication |
| spelling | doaj-art-e43700a54a84474ea26e59276350b4792025-01-27T08:36:32ZengTaylor & Francis GroupJournal of Information and Telecommunication2475-18392475-18472025-01-0111710.1080/24751839.2025.2454056Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networksInam Abousaber0Amira A. Mohamed1Haitham F. Abdallah2Dept. of Information Technology, Faculty of Computers and Information Technology, University of Tabuk, Tabuk, Saudi ArabiaDept. of Electrical Engineering., Higher Institute of Engineering and Technology, Kafrelsheikh, EgyptDept. of Electrical Engineering., Higher Institute of Engineering and Technology, Kafrelsheikh, EgyptFifth-generation (5G) networks are designed to overcome critical challenges, including achieving high data rates, supporting massive device connectivity, and ensuring low latency. Non-Orthogonal Multiple Access (NOMA) significantly enhances spectral efficiency and network capacity within this framework. NOMA has a problem with a high Peak-to-Average Power Ratio (PAPR). This creates nonlinear distortion, reduces power amplifier efficiency, and increases out-of-band radiation, making it less useful in 5G and B5G networks. To address this, two PAPR reduction methods are proposed: Improved Salp Swarm Algorithm-based Partial Transmit Sequence (PTS-ISSA) and Iterative Sub-block Phase Rotation (ISPR). PTS-ISSA minimizes PAPR by phase rotation of sub-blocks, offering the best reduction but at higher computational complexity, making it ideal for systems with abundant resources. ISPR, on the other hand, employs iterative phase rotation without side information, balancing performance with lower complexity, making it suitable for resource-constrained applications. Evaluated under Rician fading and AWGN channels, both methods outperform traditional techniques in PAPR reduction and Bit Error Rate (BER) performance. While PTS-ISSA is optimal for high-performance systems, ISPR serves lightweight, real-time applications. These methodologies show potential for the next-generation wireless networks, supporting scenarios from IoT to ultra-reliable low-latency communications by optimizing the trade-off between performance and complexity.https://www.tandfonline.com/doi/10.1080/24751839.2025.2454056NOMAPAPROFDMISPRPTSISSA |
| spellingShingle | Inam Abousaber Amira A. Mohamed Haitham F. Abdallah Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks Journal of Information and Telecommunication NOMA PAPR OFDM ISPR PTS ISSA |
| title | Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks |
| title_full | Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks |
| title_fullStr | Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks |
| title_full_unstemmed | Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks |
| title_short | Novel techniques for efficient PAPR reduction in NOMA systems for future wireless networks |
| title_sort | novel techniques for efficient papr reduction in noma systems for future wireless networks |
| topic | NOMA PAPR OFDM ISPR PTS ISSA |
| url | https://www.tandfonline.com/doi/10.1080/24751839.2025.2454056 |
| work_keys_str_mv | AT inamabousaber noveltechniquesforefficientpaprreductioninnomasystemsforfuturewirelessnetworks AT amiraamohamed noveltechniquesforefficientpaprreductioninnomasystemsforfuturewirelessnetworks AT haithamfabdallah noveltechniquesforefficientpaprreductioninnomasystemsforfuturewirelessnetworks |