Implement minsum decoding algorithms to efficiently encode and decode messages. Visualize performance metrics for different base graphs to analyze decoder performance.
This figure shows the architecture block diagram of the NRLDPCDecoder block. The Controller block controls the layer and iteration count of the decoding process.
• Implemented LDPCencoder and decoder in MATLAB using Base Graph 1&2 with a fixed lifting size of z = 52. • Developed soft-decision decoding using the Min-Sum Algorithm and compared results with hard-decision decoding and theoretical limits.
This paper presents an intelligent decoding methodology for low-density parity-check (LDPC) and Polar codes (P-C) based on deep reinforcement learning (DRL+Soft) for modern 5G and emerging 6G ...
This thesis project aims to develop LDPC encoding and decoding chains and propose optimal encoding and decoding algorithms for LDPC codes that can be used for 5GNR shared channels.
5.1.2. Running the 5GLDPCDecoder and EncoderMATLAB Model in the Design Example You must compile .mex binaries for both the 5GLDPCdecoder and the encoder.
This MATLAB function returns the LDPC-decoded output matrix out for the input data matrix in, base graphnumber bgn, and maximum number of decoding iterations maxNumIter.
This library implements a basic version of the 5GNRLDPC code as specified in TS38.212. The decoder implements the sum-product algorithm and is based on [1]. The file ldpcExample.m provides a minimal working example of encoding and decoding.
This example shows how to use the cloud or a cluster for block error rate (BLER) simulation of low-density parity-check (LDPC) coding for the 5GNRdownlink shared transport channel (DL-SCH).
This MATLAB function returns the LDPC-decoded output matrix out for the input data matrix in, base graph number bgn, and maximum number of decoding iterations maxNumIter.