Abstract
Fifth generation (5G) is a new generation mobile communication system developed for the growing demand for mobile communication. Channel coding is an indispensable part of most modern digital communication systems, for it can improve the transmission reliability and anti-interference. In order to meet the requirements of 5G communication, a dual threshold self-corrected minimum sum (DT-SCMS) algorithm for low-density parity-check (LDPC) decoders is proposed in this paper. Besides, an architecture of LDPC decoders is designed. By setting thresholds to judge the reliability of messages, the DT-SCMS algorithm erases unreliable messages, improving the decoding performance and efficiency. Simulation results show that the performance of DT-SCMS is better than that of SCMS. When the code rate is 1/3, the performance of DT-SCMS has been improved by 0.2 dB at the bit error rate of 10 − 4 compared with SCMS. In terms of the convergence, when the code rate is 2/3, the number of iterations of DT-SCMS can be reduced by up to 20.46% compared with SCMS, and the average proportion of reduction is 18.68%.
Highlights
There are three major application scenarios for fifth generation (5G): enhanced mobile broadband, ultra-reliable low latency communication, and massive machine type communication, as defined by the International Telecommunication Union (ITU) [1]
A dual threshold self-corrected minimum sum (DT-SCMS) algorithm based on the SCMS algorithm is proposed for the design requirements of low-density parity-check (LDPC) codes in 5G communication
The corrections of the normalized minimum sum (NMS) algorithm and offset minimum sum (OMS) algorithm are made from the processing of check node messages, and there is another type of improvement that makes corrections from variable node messages, namely the SCMS algorithm
Summary
There are three major application scenarios for fifth generation (5G): enhanced mobile broadband (eMBB), ultra-reliable low latency communication (uRLLC), and massive machine type communication (mMTC), as defined by the International Telecommunication Union (ITU) [1]. The introduction of puncturing variable nodes will bring some performance loss when decoding, so it is necessary to improve the existing decoding algorithms. The self-corrected minimum sum (SCMS) algorithm proposed by Savin et al improves the decoding performance from the perspective of variable node messages and accelerates the convergence of decoding [31,32,33]. The SCMS algorithm does not perform well when the channel state is good, and cannot meet the requirements of high reliability and efficiency-oriented communication systems. A dual threshold self-corrected minimum sum (DT-SCMS) algorithm based on the SCMS algorithm is proposed for the design requirements of LDPC codes in 5G communication.
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