Abstract:

Space-Time Low-Density Parity-Check (LDPC) codes provide a robust method to improve data transmission reliability and efficiency in modern cellular communication systems. These codes use spatial and temporal variation to increase signal integrity especially in complex wireless scenarios. Still, current methods may have problems like poor error correction performance in high-mobility settings and more decoding complexity under multipath fading conditions. This paper proposes MIMO Channel Simulation with Space-Time LDPC Encoding and Decoding (ST-LDPC-ED), a novel method to address these limitations. This approach offers more precise data recovery across Multiple-Input Multiple-Output (MIMO) channels by combining LDPC concepts with space-time coding [10]. Several cellular habitats are replicated using the proposed method, then their performance under various channel conditions is evaluated. Results indicate that ST-LDPC-ED considerably reduces bit error rate (BER), offers greater resistance against noise and interference than traditional systems, and improves spectral efficiency. This underlines how well this method might provide consistent, fast communications in next-generation wireless networks. The proposed method achieves bit error rate of 98.3%, spectral efficiency of 97.3%, resilience of 96.4%.