IRS-enabled NOMA communication systems:A network architecture primer with future trends and challenges  

作　　者：Haleema Sadia Ahmad Kamal Hassan Ziaul Haq Abbas Ghulam Abbas Muhammad Waqas Zhu Han 

机构地区：[1]Faculty of Electrical Engineering and Telecommunications and Networking(TeleCoN)Research Center,Ghulam Ishaq Khan Institute of Engineering and Technology(GIKI),Topi 23640,Pakistan [2]Faculty of Computer Science and Engineering,GIKI,Topi 23640,Pakistan [3]Department of Computer Engineering,College of Information Technology,University of Bahrain,32028,Bahrain [4]School of Engineering,Edith Cowan University,Perth WA,6027,Australia [5]Department of Electrical and Computer Engineering,University of Houston,Houston,TX 77004,USA [6]Department of Computer Science and Engineering,Kyung Hee University,Seoul 446-701,South Korea

出　　处：《Digital Communications and Networks》2024年第5期1503-1528,共26页数字通信与网络(英文版)

基　　金：supported by Higher Education Commission(HEC)of Pakistan through its National Research Program for Universities(NRPU)[Ref.No.20-14560/NRPU/R&D/HEC/2021];support provided by HEC。

摘　　要：Non-Orthogonal Multiple Access(NOMA)has already proven to be an effective multiple access scheme for5th Generation(5G)wireless networks.It provides improved performance in terms of system throughput,spectral efficiency,fairness,and energy efficiency(EE).However,in conventional NOMA networks,performance degradation still exists because of the stochastic behavior of wireless channels.To combat this challenge,the concept of Intelligent Reflecting Surface(IRS)has risen to prominence as a low-cost intelligent solution for Beyond 5G(B5G)networks.In this paper,a modeling primer based on the integration of these two cutting-edge technologies,i.e.,IRS and NOMA,for B5G wireless networks is presented.An in-depth comparative analysis of IRS-assisted Power Domain(PD)-NOMA networks is provided through 3-fold investigations.First,a primer is presented on the system architecture of IRS-enabled multiple-configuration PD-NOMA systems,and parallels are drawn with conventional network configurations,i.e.,conventional NOMA,Orthogonal Multiple Access(OMA),and IRS-assisted OMA networks.Followed by this,a comparative analysis of these network configurations is showcased in terms of significant performance metrics,namely,individual users'achievable rate,sum rate,ergodic rate,EE,and outage probability.Moreover,for multi-antenna IRS-enabled NOMA networks,we exploit the active Beamforming(BF)technique by employing a greedy algorithm using a state-of-the-art branch-reduceand-bound(BRB)method.The optimality of the BRB algorithm is presented by comparing it with benchmark BF techniques,i.e.,minimum-mean-square-error,zero-forcing-BF,and maximum-ratio-transmission.Furthermore,we present an outlook on future envisioned NOMA networks,aided by IRSs,i.e.,with a variety of potential applications for 6G wireless networks.This work presents a generic performance assessment toolkit for wireless networks,focusing on IRS-assisted NOMA networks.This comparative analysis provides a solid foundation for the development of future IRS-enabled,energy-efficient

关 键 词：Intelligent reflecting surface Non-orthogonal multiple access 6G BEAMFORMING Sum rate Energy efficiency 

分 类 号：TN9[电子电信—信息与通信工程]