Enhanced Adaptive Normalized Min-Sum Algorithm for Layered Scheduling of 5G-NR LDPC codes

5G new radio low density parity check (5G-NR LDPC) codes specified by the 3rd generation partnership project (3GPP), a representative class of multi-edge-type, quasi-cyclic and raptor-like LDPC codes with rate-compatible and length-scalable capability, could meet with high-throughput demands. The co...

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Vydáno v:IEEE International Symposium on Broadband Multimedia Systems and Broadcasting s. 1 - 5
Hlavní autoři: Zhou, Ziqi, Peng, Kewu, Krylov, Aleksei, Rashich, Andrey, Tkachenko, Dmitry, Li, Fengshuang, Zhang, Chao, Song, Jian
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 27.10.2020
Témata:
5G mobile communication
5G new radio
belief propagation algorithm
Decoding
enhanced adaptive normalized min-sum algorithm for layered scheduling
iterative decoding algorithm
low-density parity check codes
Parity check codes
Processor scheduling
Scheduling
Table lookup
Training
ISSN:2155-5052
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Shrnutí:5G new radio low density parity check (5G-NR LDPC) codes specified by the 3rd generation partnership project (3GPP), a representative class of multi-edge-type, quasi-cyclic and raptor-like LDPC codes with rate-compatible and length-scalable capability, could meet with high-throughput demands. The corresponding decoding algorithm and implementation should support low complexity, high performance and scaleinvariance to channel variations and receiver imperfections. Flooding scheduling is usually used for the prevalent decoding algorithms and architecture of LDPC codes, but it is inefficient and inflexible compared with layered scheduling. This paper proposes a new simplification method where the sub-groups with similar fitting functions of normalization factors are incorporated into the same type, and enhanced adaptive normalized min-sum algorithm (enhanced ANMSA) for layered scheduling is further proposed for the implementation of 5G-NR LDPC codes. Based on the new simplification method, the proposed algorithm defines three types of check nodes for base graph 2 (BG2) in 5G-NR LDPC codes, and then obtains three look-up tables for BG2 by training. Simulation results demonstrate that the proposed algorithm can achieve excellent performance for 5G-NR LDPC codes of different rates and lengths over Binary-input AWGN channel and Rayleigh channel.
ISSN:2155-5052
DOI:10.1109/BMSB49480.2020.9379739