SC-LDPC code design for Gaussian multiple access channel

• Published in: IET communications Vol. 10; no. 17; pp. 2402 - 2406
• Main Authors: Noor-A-Rahim, Md, Nguyen, Khoa D, Lechner, Gottfried
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 24.11.2016
• Subjects: channel coding; Channels; Decoding; Design analysis; Error correcting codes; Evolution; Gaussian channels; Gaussian multiple access channel; GMAC; joint belief propagation decoding; low complexity density evolution analysis; Messages; Multiple access; multi‐access systems; optimisation; optimisation procedure; Optimization; parity check codes; SC‐LDPC code design; spatially coupled low‐density parity‐check codes; SC-LDPC code design; channel coding; Gaussian multiple access channel; parity check codes; optimisation procedure; joint belief propagation decoding; GMAC; low complexity density evolution analysis; decoding; optimisation; multi-access systems; spatially coupled low-density parity-check codes; Gaussian channels
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2016.0001

This paper presents the design and analysis of spatially coupled low-density parity-check (SC-LDPC) codes for Gaussian multiple access channel (GMAC). For two-user GMAC, we consider that each user encodes their messages by SC-LDPC codes while joint belief propagation decoding is considered at the receiver. We present low complexity density evolution analysis of SC-LDPC GMAC codes and show simple optimisation procedure. For the asymptotic case, we observe that SC-LDPC code-based GMAC code outperforms existing irregular LDPC code-based GMAC code.