Energy-Efficient Beamforming and Resource Optimization for STAR-IRS Enabled Hybrid-NOMA 6G Communications

Asif, Muhammad; Ihsan, Asim; KHAN, Wali Ullah; Ali, Zain; Zhang, Shengli; Xiaoxiao, Sissi

doi:10.1109/TGCN.2023.3281414

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Energy-Efficient Beamforming and Resource Optimization for STAR-IRS Enabled Hybrid-NOMA 6G Communications

Asif, Muhammad; Ihsan, Asim; KHAN, Wali Ullah et al.

2023 • In IEEE Transactions on Green Communications and Networking

Peer Reviewed verified by ORBi

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https://hdl.handle.net/10993/55296

DOI
10.1109/TGCN.2023.3281414

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Keywords :

non-orthogonal multiple access (NOMA); Reflecting Intelligent Surfaces; Energy efficiency; Optimization

Abstract :

[en] In this manuscript, we propose an energy-efficient optimization framework for a multi-cluster simultaneous transmitting and reflecting intelligent reflecting surfaces (STAR-IRS) enabled time-division multiple-access (TDMA) based hybrid-NOMA system to realize the future sixth-generation (6G) wireless communication systems. Specifically, the energy-efficiency maximization is achieved by optimizing the successive-interference cancellation (SIC) decoding order, time-allocation, and active-beamforming vectors at the transmitter, as well as transmission and reflection coefficients at the STAR-IRS under quality-of-service (QoS), conservation of energy, time-allocation, phase-shifts, and SIC-decoding constraints. Moreover, the proposed alternating optimization algorithm tackles the considered highly non-convex optimization problem in four steps. In first step, for computing the SIC-decoding order of NOMA users, an efficient optimization technique is proposed which maximizes the sum of combined channel gains by optimizing the transmission and reflection beamforming vectors of the considered STAR-IRS assisted hybrid-NOMA system. Further, in second step, an optimal time-allocation for each cluster in transmission and reflection region is computed for given SIC-decoding order. With decoding order and time-allocation in hand, active-beamforming vectors are computed by exploiting the sequential-convex approximation (SCA) and second-order-conic programming (SOCP) in third step. Finally, in the fourth step, the transmission and reflection coefficients of STAR-IRS are computed by transforming the non-convex optimization problem into a semi-definite programming (SDP) problem. Th numerical simulation results demonstrate that the proposed optimization framework exhibits an efficient energy efficiency performance and converges within a few iterations.

Disciplines :

Electrical & electronics engineering

Author, co-author :

Asif, Muhammad

Ihsan, Asim

KHAN, Wali Ullah ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom

Ali, Zain

Zhang, Shengli

Xiaoxiao, Sissi

External co-authors :

yes

Language :

English

Title :

Energy-Efficient Beamforming and Resource Optimization for STAR-IRS Enabled Hybrid-NOMA 6G Communications

Alternative titles :

[en] Energy-Efficient Beamforming and Resource Optimization for STAR-IRS Enabled Hybrid-NOMA 6G Communications

Publication date :

30 May 2023

Journal title :

IEEE Transactions on Green Communications and Networking

eISSN :

2473-2400

Publisher :

Institute of Electrical and Electronics Engineers (IEEE)

Peer reviewed :

Peer Reviewed verified by ORBi

Focus Area :

Security, Reliability and Trust

Additional URL :

https://ieeexplore-ieee-org.proxy.bnl.lu/document/10138693

Available on ORBilu :

since 07 June 2023

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