In Message Passing (MP) decoding of Low-Density Parity Check (LDPC) codes, extrinsic
information is exchanged between Check Nodes (CNs) and Variable Nodes (VNs). In a …

Recently, neural networks have improved MinSum message-passing decoders for low-
density parity-check (LDPC) codes by multiplying or adding weights to the messages, where …

In this paper, we propose a mutual information-maximizing quantized layered min-sum (MIM-
QLMS) decoder for quasi-cyclic low-density parity-check (QC-LDPC) codes. Our proposed …

For improving coarsely quantized decoding of LDPC codes, we propose a check node
aware design of the variable node update. In contrast to previous works, we optimize the …

Recently, low-resolution LDPC decoders have been introduced that perform mutual
information maximizing signal processing. However, the optimal quantization in variable and …

5G new radio (5G-NR) enhanced Mobile Broadband (eMBB) scenario demands a high data
throughput of up to 20Gb/s, leading to an urgent need for low complexity and high …

Digital communication receivers extract information about the transmitted data from the
received signal in subsequent processing steps, such as synchronization, demodulation and …

In this paper, we propose a class of finite alphabet iterative decoder (FAID), called mutual
information-maximizing quantized belief propagation (MIM-QBP) decoder, for decoding …

This paper presents novel techniques for improving the error correction performance and
reducing the complexity of coarsely quantized 5G-LDPC decoders. The proposed decoder …

We investigate iterative low-resolution message-passing algorithms for quasi-cyclic LDPC
codes with horizontal and vertical layered schedules. Coarse quantization and layered …