Efficient FPGA Implementation of a High- Performance, Low-Complexity LDPC Decoder for Next-Gen Communication Systems

Modern communication systems rely on Low- Density Parity-Check (LDPC) decoders to provide reliable error correction for wireless networks of the next generation including 5G as well as satellite communications and Internet of Things (IoT). The research brings forth a real- time optimized implementation of a high-performance low-complexity LAPC decoder designed for FPGAs. The proposed architecture combines QC-LDPC code structures with parallel Min-Sum decoding and pipeline processing to reduce power usage and latency while maintaining high decoding precision. The FPGA hardware shows a Binary Error Rate (BER) measurement of 3.2 × 10–<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> when the Signal-to-Noise Ratio (SNR) reaches 2.5 dB and achieves overall 98.6% decoding precision. The proposed decoder design reaches 3.85 Gbps throughput which is better than GPU-based systems by 20% while maintaining 7.8 µs latency for real-time applications. The implemented FPGA system operates at a low power level below 4.80W which exceeds the power requirements of GPU-based systems. The successful outcomes prove that FPGA-based LDPC decoders work as both power-efficient and fast communication system solutions. The designed solution demonstrates scalability and adaptability which constitutes a dependable framework to meet requirements of changing wireless communication standards.