Intelligent Reflecting Surfaces; 6G Wireless Networks; Energy efficiency
Résumé :
[en] This manuscript presents an energy-efficient alternating optimization framework based on intelligent reflective surfaces (IRS) aided non-orthogonal multiple access beamforming (NOMA-BF) system for 6G wireless communications. Specifically, this work proposes a centralized IRS-enabled design for the NOMA-BF system to optimize the active beamforming and power allocation coefficient (PAC) of users at the transmitter in the first stage and passive beamforming at IRS in the 2nd stage to maximize the energy efficiency (EE) of the network. However, an increment in the number of supportable users with the NOMA-BF system will lead to NOMA user interference and inter-cluster interference (ICI). To mitigate the effect of ICI, first zero-forcing beamforming along with efficient user clustering algorithm is exploited and then NOMA user interference is tackled efficiently through a proposed iterative algorithm that computes PAC of NOMA user through simplified closed-form expression under the required system constraints. In the 2nd stage, the problem of passive beamforming is solved through a technique based on difference-of-convex (DC) programming and successive convex approximation (SCA). Simulation results demonstrate that the proposed alternating framework for energy-efficient IRS-assisted NOMA-BF system can achieve convergence within a few iterations and provide efficient performance in terms of EE of the system with low complexity.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
Ihsan, Asim
Chen, Wen
Asif, Muhammad
KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Wu, Qingqing
Li, Jun
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Energy-Efficient IRS-Aided NOMA Beamforming for 6G Wireless Communications
Titre traduit :
[en] Energy-Efficient IRS-Aided NOMA Beamforming for 6G Wireless Communications
Date de publication/diffusion :
septembre 2022
Titre du périodique :
IEEE Transactions on Green Communications and Networking
eISSN :
2473-2400
Maison d'édition :
Institute of Electrical and Electronics Engineers (IEEE)
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