Dual Threshold Self-Corrected Minimum Sum Algorithm for 5G LDPC Decoders

Abstract

<jats:p>Fifth generation (5G) is a new generation mobile communication system developed forthe growing demand for mobile communication. Channel coding is an indispensable part of mostmodern digital communication systems, for it can improve the transmission reliability and antiinterference.In order to meet the requirements of 5G communication, a dual threshold self-correctedminimum sum (DT-SCMS) algorithm for low-density parity-check (LDPC) decoders is proposed inthis paper. Besides, an architecture of LDPC decoders is designed. By setting thresholds to judgethe reliability of messages, the DT-SCMS algorithm erases unreliable messages, improving thedecoding performance and efficiency. Simulation results show that the performance of DT-SCMS isbetter than that of SCMS. When the code rate is 1/3, the performance of DT-SCMS has beenimproved 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%.</jats:p>

Iterative Equalization and Decoding over an Additive White Gaussian Noise Channel with ISI Using Low-Density Parity-Check Codes

“…The min-sum algorithm is a soft-decision algorithm that consists of message passing between variable and check nodes [45]; the iterative steps of the min-sum algorithm, for each iteration, are according to [46].…”