TY - JOUR
T1 - What Role Do Intelligent Reflecting Surfaces Play in Multi-Antenna Non-Orthogonal Multiple Access?
AU - De Sena, Arthur S.
AU - Carrillo, Dick
AU - Fang, Fang
AU - Nardelli, Pedro H.J.
AU - Da Costa, Daniel B.
AU - Dias, Ugo S.
AU - Ding, Zhiguo
AU - Papadias, Constantinos B.
AU - Saad, Walid
N1 - Funding Information:
Acknowledgments This work is partly supported by the Academy of Finland via: (a) ee-IoT project under Grant no. 319009, (b) FIREMAN consortium under Grant CHIST-ERA/no. 326270, and (c) EnergyNet research fellowship under Grant nos. 321265 and 328869.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/10
Y1 - 2020/10
N2 - Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks. A massive MIMO-NOMA system can deliver remarkable spectral improvements and low communication latency. Nevertheless, the uncontrollable stochastic behavior of the wireless channels can still degrade its performance. In this context, the idea of an intelligent reflecting surface (IRS) has emerged as a promising technology for smartly overcoming the possibly detrimental effects of the wireless environment. The disruptive IRS concept of controlling the propagation channels via software can provide attractive performance gains to the communication networks, including higher data rates, improved user fairness, and possibly higher energy efficiency. In this article, we demonstrate the main roles of IRSs in MIMO-NOMA systems. Specifically, we identify key challenges and perform a comprehensive discussion of the main performance gains that can be achieved in IRS-assisted massive MIMO-NOMA (IRS-NOMA) networks. We outline exciting futuristic use case scenarios for IRS-NOMA and expose the main related challenges and future research directions. Furthermore, throughout the article, we support our in-depth discussions with representative numerical results.
AB - Massive multiple-input multiple-output (MIMO) and non-orthogonal multiple access (NOMA) are two key techniques for enabling massive connectivity in future wireless networks. A massive MIMO-NOMA system can deliver remarkable spectral improvements and low communication latency. Nevertheless, the uncontrollable stochastic behavior of the wireless channels can still degrade its performance. In this context, the idea of an intelligent reflecting surface (IRS) has emerged as a promising technology for smartly overcoming the possibly detrimental effects of the wireless environment. The disruptive IRS concept of controlling the propagation channels via software can provide attractive performance gains to the communication networks, including higher data rates, improved user fairness, and possibly higher energy efficiency. In this article, we demonstrate the main roles of IRSs in MIMO-NOMA systems. Specifically, we identify key challenges and perform a comprehensive discussion of the main performance gains that can be achieved in IRS-assisted massive MIMO-NOMA (IRS-NOMA) networks. We outline exciting futuristic use case scenarios for IRS-NOMA and expose the main related challenges and future research directions. Furthermore, throughout the article, we support our in-depth discussions with representative numerical results.
UR - http://www.scopus.com/inward/record.url?scp=85095971756&partnerID=8YFLogxK
U2 - 10.1109/MWC.001.2000061
DO - 10.1109/MWC.001.2000061
M3 - Article
AN - SCOPUS:85095971756
SN - 1536-1284
VL - 27
SP - 24
EP - 31
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 5
M1 - 9241881
ER -