TY - JOUR
T1 - Intelligent reflecting surface-assisted uplink SCMA system
AU - Sharma, Sanjeev
AU - Deka, Kuntal
AU - Hong, Yi
AU - Dixit, Dharmendra
N1 - Funding Information:
Manuscript received April 7, 2021; revised May 12, 2021; accepted May 15, 2021. Date of publication May 18, 2021; date of current version August 12, 2021. The part of Yi Hong’s work is supported by the Australian Research Council Discovery project DP200100096. The associate editor coordinating the review of this letter and approving it for publication was Y. Liu. (Corresponding author: Sanjeev Sharma.) Sanjeev Sharma is with the Department of Electronics Engineering, IIT (BHU) Varanasi, Varanasi 221005, India (e-mail: [email protected]).
Publisher Copyright:
© 1997-2012 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/8
Y1 - 2021/8
N2 - Intelligent reflecting surface (IRS) is a promising technique to enhance performance of wireless systems due to its ability to smartly reconfigure the signal propagation environment. Sparse code multiple access (SCMA) is code-domain non-orthogonal multiple access technique suitable for the next-generation wireless networks. In this letter, we consider IRS-assisted uplink SCMA (I-SCMA) for energy and spectrally-efficient wireless systems. Message passing algorithm (MPA)-based signal detection is proposed to detect multiple users' symbols in uplink I-SCMA. The diversity orders of I-SCMA for random and coherent phase shifting are derived. The symbol error rate and the sum-rate performance of the uplink I-SCMA system are analyzed. Further, the impact of overloading factor, the number of reflecting surfaces, the number of phase shifts of reflected signals are studied. Simulation results demonstrate the benefits of I-SCMA in terms of the spectral and energy efficiency over conventional SCMA and other NOMA techniques.
AB - Intelligent reflecting surface (IRS) is a promising technique to enhance performance of wireless systems due to its ability to smartly reconfigure the signal propagation environment. Sparse code multiple access (SCMA) is code-domain non-orthogonal multiple access technique suitable for the next-generation wireless networks. In this letter, we consider IRS-assisted uplink SCMA (I-SCMA) for energy and spectrally-efficient wireless systems. Message passing algorithm (MPA)-based signal detection is proposed to detect multiple users' symbols in uplink I-SCMA. The diversity orders of I-SCMA for random and coherent phase shifting are derived. The symbol error rate and the sum-rate performance of the uplink I-SCMA system are analyzed. Further, the impact of overloading factor, the number of reflecting surfaces, the number of phase shifts of reflected signals are studied. Simulation results demonstrate the benefits of I-SCMA in terms of the spectral and energy efficiency over conventional SCMA and other NOMA techniques.
KW - diversity order
KW - IRS-assisted SCMA (I-SCMA)
KW - message passing algorithm
KW - SER
KW - sum-rate
UR - http://www.scopus.com/inward/record.url?scp=85107177256&partnerID=8YFLogxK
U2 - 10.1109/LCOMM.2021.3081569
DO - 10.1109/LCOMM.2021.3081569
M3 - Article
AN - SCOPUS:85107177256
SN - 1089-7798
VL - 25
SP - 2728
EP - 2732
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 8
ER -
