NOMA Joint Decoding based on Soft-Output Ordered-Statistics Decoder for Short Block Codes
Chentao Yue, Alva Kosasih, Mahyar Shirvanimoghaddam, Giyoon Park,, Ok-Sun Park, Wibowo Hardjawana, Branka Vucetic, Yonghui Li

TL;DR
This paper introduces a low-complexity joint decoding method for NOMA systems using short block codes, combining a novel soft-output decoder with interference cancellation techniques to improve error rates and reduce complexity.
Contribution
It proposes a new low-complexity soft-output ordered-statistics decoder and an efficient joint decoding receiver for NOMA systems, enhancing performance and convergence speed.
Findings
Achieves lower bit-error rate than SIC decoding
Reduces decoding complexity significantly
Maintains mutual information properties of original SOSD
Abstract
In this paper, we design the joint decoding (JD) of non-orthogonal multiple access (NOMA) systems employing short block length codes. We first proposed a low-complexity soft-output ordered-statistics decoding (LC-SOSD) based on a decoding stopping condition, derived from approximations of the a-posterior probabilities of codeword estimates. Simulation results show that LC-SOSD has the similar mutual information transform property to the original SOSD with a significantly reduced complexity. Then, based on the analysis, an efficient JD receiver which combines the parallel interference cancellation (PIC) and the proposed LC-SOSD is developed for NOMA systems. Two novel techniques, namely decoding switch (DS) and decoding combiner (DC), are introduced to accelerate the convergence speed. Simulation results show that the proposed receiver can achieve a lower bit-error rate (BER) compared to…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · Advanced Wireless Communication Techniques · Error Correcting Code Techniques
