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Maximizing DRL-based Energy Efficiency in IRS-NOMA using a DDPG Algorithm for the Next Generation of Wireless Communications

Authors

  • Kamil Audah Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia | Department of Electronics Technologies, Southern Technical University, Iraq | Department of Computer Technology Engineering, Faculty of Engineering, Iraq University College, Iraq
  • Nor K. Noordin Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia | Wireless and Photonics Networks Research Center of Excellence (WiPNET), Faculty of Engineering, Universiti Putra Malaysia, Malaysia
  • Wala'a Hussein Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia | Department of Chemical Engineering and Petroleum Refining, Basrah University for Oil and Gas, Iraq | Department of Computer Technology Engineering, Faculty of Engineering, Iraq University College, Iraq
  • Mod Fadlee B. A. Rasid Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Malaysia | Wireless and Photonics Networks Research Center of Excellence (WiPNET), Faculty of Engineering, Universiti Putra Malaysia, Malaysia
  • Aduwati Sali
  • Aymen Flah National Engineering School of Gabès, University of Gabes, Tunisia, | MEU Research Unit, Middle East University, Jordan | Applied Science Research Center, Applied Science Private University, Jordan | Private Higher School of Applied Sciences and Technology of Gabès, Tunisia
Volume: 14 | Issue: 4 | Pages: 14801-14810 | August 2024 | https://doi.org/10.48084/etasr.7536

Received: 18 April 2024 | Revised: 5 May 2024 | Accepted: 7 May 2024 | Online: 13 May 2024


Corresponding author: Kamil Audah

Abstract

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.

Keywords:

5G, deep deterministic policy gradient, DRL, energy efficiency, IRS-NOMA, optimization

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How to Cite

[1]
K. Audah, N. K. Noordin, W. Hussein, M. F. B. A. Rasid, A. Sali, and A. Flah, “Maximizing DRL-based Energy Efficiency in IRS-NOMA using a DDPG Algorithm for the Next Generation of Wireless Communications”, Eng. Technol. Appl. Sci. Res., vol. 14, no. 4, pp. 14801–14810, Aug. 2024.

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Copyright (c) 2024 Kamil Audah, Nor K. Noordin, Wala'a Hussein, Mod Fadlee B. A. Rasid, Aduwati Sali , Aymen Flah

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