DocumentCode :
3604661
Title :
A Fixed Low Complexity Message Pass Algorithm Detector for Up-Link SCMA System
Author :
Hang Mu ; Zheng Ma ; Alhaji, Mahamuda ; Pingzhi Fan ; Dageng Chen
Author_Institution :
Provincial Key Lab. of Inf. Coding & Transm., Southwest Jiaotong Univ., Chengdu, China
Volume :
4
Issue :
6
fYear :
2015
Firstpage :
585
Lastpage :
588
Abstract :
Sparse code multiple access (SCMA) is a new modulation and non-orthogonal multiple access scheme for 5G systems, in which the coded bits are mapped to multi-dimensional sparse codewords, and the message passing algorithm (MPA) is employed to detect multi-user signals. However, the relative high computational complexity of MPA detection is still a big concern for practical implementation, even the sparse structure has already been employed. In this letter, a novel fixed low complexity detector for uplink SCMA system is proposed, based on partial marginalization (PM). Our analysis and simulation results show that, compared with the existing MPA detector, the implementation complexity of the new PM-based detector is reduced substantially, while the bit error ratio (BER) performance degrades unnoticeably (less than 0.3 dB).
Keywords :
5G mobile communication; computational complexity; error statistics; message passing; modulation; multiuser detection; 5G system; BER performance degradation; bit error ratio performance degradation; coded bit mapping; fixed low complexity message pass algorithm detector; high computational complexity; multidimensional sparse codeword; multiuser signal detection; nonorthogonal multiple access scheme; partial marginalization; sparse code multiple access; uplink SCMA system; 5G mobile communication; Bit error rate; Computational complexity; Detectors; Modulation; Sparse code multiple access; 5G; MPA detector; SCMA; partial marginalization; sparse;
fLanguage :
English
Journal_Title :
Wireless Communications Letters, IEEE
Publisher :
ieee
ISSN :
2162-2337
Type :
jour
DOI :
10.1109/LWC.2015.2469668
Filename :
7208827
Link To Document :
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