TY - GEN
T1 - A Low Complexity SCMA Detector Based on Avoiding Redundant Iterations
AU - Hao, Shuliang
AU - Su, Xin
AU - Zeng, Jie
AU - Ma, Xin
AU - Lv, Tiejun
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/11
Y1 - 2018/12/11
N2 - Sparse code multiple access (SCMA), a competitive air-interface technology with the message passing algorithm (MPA) employed at the receiver, has a broad application prospect. However, the computational complexity of MPA is still an extreme challenge for SCMA decoding. In this paper, a low complexity multiuser detection algorithm based on avoiding redundant iterations, namely Avoiding Redundant Iterations-MPA (ARI-MPA), is proposed for the uplink SCMA system. ARI-MPA can achieve low complexity by avoiding redundant iterations, in which the number of iterations required is determined by the convergence rate of codeword probability. Numerical results demonstrate that the proposed scheme can achieve an affordable trade-off between bit error ratio (BER) performance and decoding complexity for the SCMA system.
AB - Sparse code multiple access (SCMA), a competitive air-interface technology with the message passing algorithm (MPA) employed at the receiver, has a broad application prospect. However, the computational complexity of MPA is still an extreme challenge for SCMA decoding. In this paper, a low complexity multiuser detection algorithm based on avoiding redundant iterations, namely Avoiding Redundant Iterations-MPA (ARI-MPA), is proposed for the uplink SCMA system. ARI-MPA can achieve low complexity by avoiding redundant iterations, in which the number of iterations required is determined by the convergence rate of codeword probability. Numerical results demonstrate that the proposed scheme can achieve an affordable trade-off between bit error ratio (BER) performance and decoding complexity for the SCMA system.
KW - Sparse code multiple access
KW - avoiding redundant iterations
KW - message passing algorithm
KW - multiuser detection
UR - http://www.scopus.com/inward/record.url?scp=85060110101&partnerID=8YFLogxK
U2 - 10.1109/ISMICT.2018.8573712
DO - 10.1109/ISMICT.2018.8573712
M3 - Conference contribution
AN - SCOPUS:85060110101
T3 - International Symposium on Medical Information and Communication Technology, ISMICT
BT - 12th International Symposium on Medical Information and Communication Technology, ISMICT 2018
PB - IEEE Computer Society
T2 - 12th International Symposium on Medical Information and Communication Technology, ISMICT 2018
Y2 - 26 March 2018 through 28 March 2018
ER -