Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications
Combining Intelligent Reflecting Surfaces (IRSs) with Non-Orthogonal Multiple Access (NOMA) effectively enhances communication. This study introduces a NOMA-assisted Downlink Transmission (DT) system, emphasizing Energy Efficiency (EE) optimization. EE, crucial in Wireless Communications (WCs), meas...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Dr D. Pylarinos
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/114638/ http://psasir.upm.edu.my/id/eprint/114638/1/114638.pdf |
| _version_ | 1848866552033574912 |
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| author | Audah, Kamil Noordin, Nor K. Hussein, Wala'a Rasid, Mod Fadlee B. A. Sali, Aduwati Flah, Aymen |
| author_facet | Audah, Kamil Noordin, Nor K. Hussein, Wala'a Rasid, Mod Fadlee B. A. Sali, Aduwati Flah, Aymen |
| author_sort | Audah, Kamil |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Combining Intelligent Reflecting Surfaces (IRSs) with Non-Orthogonal Multiple Access (NOMA) effectively enhances communication. This study introduces a NOMA-assisted Downlink Transmission (DT) system, emphasizing Energy Efficiency (EE) optimization. EE, crucial in Wireless Communications (WCs), measures data transmission relative to energy consumption. This study focuses on a Deep Deterministic Policy Gradient (DDPG) algorithm that intelligently adjusts IRS phase-shift matrices and access point beamforming in NOMA DT. Beamforming directs signals to users for optimal strength and quality, while phase shift control enhances signal coverage and quality. Strategic IRS placement improves user signal transmissions. The simulation results demonstrate significantly improved EE compared to other algorithms, such as Deep Q Network (DQN) and Proximal Policy Optimization (PPO), showcasing the effectiveness of the combined IRS and NOMA approach in enhancing communication systems' EE. |
| first_indexed | 2025-11-15T14:22:25Z |
| format | Article |
| id | upm-114638 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:22:25Z |
| publishDate | 2024 |
| publisher | Dr D. Pylarinos |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1146382025-01-22T01:38:05Z http://psasir.upm.edu.my/id/eprint/114638/ Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications Audah, Kamil Noordin, Nor K. Hussein, Wala'a Rasid, Mod Fadlee B. A. Sali, Aduwati Flah, Aymen Combining Intelligent Reflecting Surfaces (IRSs) with Non-Orthogonal Multiple Access (NOMA) effectively enhances communication. This study introduces a NOMA-assisted Downlink Transmission (DT) system, emphasizing Energy Efficiency (EE) optimization. EE, crucial in Wireless Communications (WCs), measures data transmission relative to energy consumption. This study focuses on a Deep Deterministic Policy Gradient (DDPG) algorithm that intelligently adjusts IRS phase-shift matrices and access point beamforming in NOMA DT. Beamforming directs signals to users for optimal strength and quality, while phase shift control enhances signal coverage and quality. Strategic IRS placement improves user signal transmissions. The simulation results demonstrate significantly improved EE compared to other algorithms, such as Deep Q Network (DQN) and Proximal Policy Optimization (PPO), showcasing the effectiveness of the combined IRS and NOMA approach in enhancing communication systems' EE. Dr D. Pylarinos 2024 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/114638/1/114638.pdf Audah, Kamil and Noordin, Nor K. and Hussein, Wala'a and Rasid, Mod Fadlee B. A. and Sali, Aduwati and Flah, Aymen (2024) Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications. Engineering, Technology and Applied Science Research, 14 (4). pp. 14801-14810. ISSN 2241-4487; eISSN: 1792-8036 https://etasr.com/index.php/ETASR/article/view/7536 10.48084/etasr.7536 |
| spellingShingle | Audah, Kamil Noordin, Nor K. Hussein, Wala'a Rasid, Mod Fadlee B. A. Sali, Aduwati Flah, Aymen Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications |
| title | Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications |
| title_full | Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications |
| title_fullStr | Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications |
| title_full_unstemmed | Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications |
| title_short | Maximizing DRL-based energy efficiency in IRS-NOMA using a DDPG algorithm for the next generation of wireless communications |
| title_sort | maximizing drl-based energy efficiency in irs-noma using a ddpg algorithm for the next generation of wireless communications |
| url | http://psasir.upm.edu.my/id/eprint/114638/ http://psasir.upm.edu.my/id/eprint/114638/ http://psasir.upm.edu.my/id/eprint/114638/ http://psasir.upm.edu.my/id/eprint/114638/1/114638.pdf |