2018/03/31 by Chuan Zhang, Zhang, Chuan, Chao Yang +9
Engineering · #Advanced Wireless Communication Techniques #Advanced Wireless Communication Technologies #FOS: Computer and information sciences #FOS: Electrical engineering #Hardware Architecture (cs.AR) #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #graph theory and CDMA systems #information engineering
paper · pdf · doi:10.48550/arxiv.1804.00180
openalex publication_date 2018/03/31 · openalex created_date 2018/04/13 · openalex updated_date 2026/07/28
Being an effective non-orthogonal multiple access (NOMA) technique, sparse code multiple access (SCMA) is promising for future wireless communication. Compared with orthogonal techniques, SCMA enjoys higher overloading tolerance and lower complexity because of its sparsity. In this paper, based on deterministic message passing algorithm (DMPA), algorithmic simplifications such as domain changing and probability approximation are applied for SCMA decoding. Early termination, adaptive decoding, and initial noise reduction are also employed for faster convergence and better performance. Numerical results show that the proposed optimizations benefit both decoding complexity and speed. Furthermore, efficient hardware architectures based on folding and retiming are proposed. VLSI implementation is also given in this paper. Comparison with the state-of-the-art have shown the proposed decoder's advantages in both latency and throughput (multi-Gbps).