TY - JOUR
T1 - Spatially Coupled Serially Concatenated Codes: Performance Evaluation and VLSI Design Tradeoffs
AU - Mahdavi, Mojtaba
AU - Weithoffer, Stefan
AU - Herrmann, Matthias
AU - Liu, Liang
AU - Edfors, Ove
AU - Wehn, Norbert
AU - Lentmaier, Michael
PY - 2022/1/17
Y1 - 2022/1/17
N2 - Spatially coupled serially concatenated codes (SC-SCCs) are constructed by coupling several classical turbo-like component codes. The resulting spatially coupled codes provide a close-to-capacity performance and low error floor,which have attracted a lot of interest in the past few years. The aim of this paper is to perform a comprehensive design space exploration to reveal different aspects of SC-SCCs, which is missing in the literature. More specifically, we investigate the effect of block length, coupling memory, decoding window size, and number of iterations on the decoding performance, complexity, latency, and throughput of SC-SCCs. To this end, we propose two decoding algorithms for the SC-SCCs: block-wise and window-wise decoders. For these, we present VLSI architectural templates and explore them based on building blocks implemented in 12 nm FinFET technology. Linking architectural templates with the new algorithms, we demonstrate various tradeoffs between throughput, silicon area, latency, and decoding performance.
AB - Spatially coupled serially concatenated codes (SC-SCCs) are constructed by coupling several classical turbo-like component codes. The resulting spatially coupled codes provide a close-to-capacity performance and low error floor,which have attracted a lot of interest in the past few years. The aim of this paper is to perform a comprehensive design space exploration to reveal different aspects of SC-SCCs, which is missing in the literature. More specifically, we investigate the effect of block length, coupling memory, decoding window size, and number of iterations on the decoding performance, complexity, latency, and throughput of SC-SCCs. To this end, we propose two decoding algorithms for the SC-SCCs: block-wise and window-wise decoders. For these, we present VLSI architectural templates and explore them based on building blocks implemented in 12 nm FinFET technology. Linking architectural templates with the new algorithms, we demonstrate various tradeoffs between throughput, silicon area, latency, and decoding performance.
KW - Spatial coupling
KW - spatially coupled turbo-like codes
KW - window decoding
KW - coupling memory
KW - VLSI Implementation
KW - decoder architecture
KW - 5G New Radio
KW - FinFET Technology
KW - Digital Baseband Processing
KW - serially concatenated codes
KW - channel coding
KW - forward error correction
U2 - 10.1109/TCSI.2022.3149718
DO - 10.1109/TCSI.2022.3149718
M3 - Article
SN - 1549-8328
VL - 69
SP - 1962
EP - 1975
JO - IEEE Transactions on Circuits and Systems I: Regular Papers
JF - IEEE Transactions on Circuits and Systems I: Regular Papers
IS - 5
ER -