Author_Institution :
Centre for Commun. Syst. Res., Univ. of Surrey, Guildford, UK
Abstract :
Low-density signature code division multiple access (LDS-CDMA) and low-density parity-check (LDPC) code can both be represented by a single sparse graph. In this study, the authors propose a joint sparse graph (JSG) over GF(q) which combines LDS-CDMA and non-binary LDPC codes, namely JSG-CDMA. On the JSG, multiple accessing and channel coding are well-linked together, in addition, joint detection and decoding are performed by message passing algorithm. Two schedules for message updating on the JSG, that is, flooding and serial schedules, are, respectively, presented. To predict the convergence behaviour of the joint detection and decoding, they depict the iterative structure of the JSG-CDMA receiver and analyse its extrinsic information transfer chart. Key factors of JSG-CDMA include message passing schedule, maximum iteration number and Galois field order. Simulation results show that JSG-CDMA performs much better than conventional CDMA, in addition, compared with LDS-CDMA and turbo structured LDS-CDMA, at a bit error rate of 3 × 10-4, JSG-CDMA brings about 1.9 and 1.1 dB gain, respectively.
Keywords :
Galois fields; channel coding; code division multiple access; error statistics; graph theory; iterative decoding; message passing; parity check codes; radio receivers; turbo codes; GF; Galois field order; JSG-CDMA receiver; bit error rate; channel coding; decoding; iterative structure; joint sparse graph; low density parity check code; low density signature code division multiple access; message passing algorithm; message updating; nonbinary LDPC code; turbo structured LDS-CDMA;