Performance Enhancement of V2V Communication by QC-LDPC Code and NOMA-UM-MIMO Techniques

Vehicle-to-Vehicle (V2V) communication plays a crucial role in ensuring traffic safety and efficient data exchange in intelligent transportation systems. However, challenges such as high mobility, severe fading, and interference degrade performance. This project proposes an integrated system combining Quasi-Cyclic Low-Density Parity-Check (QC-LDPC) coding without Girth4 cycles with Non-Orthogonal Multiple Access (NOMA) and Underlay MIMO (UM-MIMO) techniques to enhance V2V communication reliability and capacity. Analytical derivations and MATLAB simulations evaluate Bit Error Rate (BER), outage probability, and sum rate performance for near and far users under Rician fading conditions. Results demonstrate significant improvements in spectral efficiency and error correction compared to conventional OFDMA-LDPC and SM-NOMA systems. The proposed approach utilizes Successive Interference Cancellation (SIC) and Sum-Product decoding to achieve robust data transmission even at high vehicular speeds. Therefore, integrating QC-LDPC codes with NOMA-UM-MIMO proves effective for next-generation V2V communication systems.

Keywords: V2V communication; NOMA; QC-LDPC; UM-MIMO; BER; outage probability; sum rate; SIC; Rician fading.