Published Paper Details:

Achieving error-free communication in wireless networks is challenging due to noise, interference, and fading. Channel coding techniques like Reed-Solomon (RS), Convolutional Codes, and Turbo Codes help minimize errors. Advanced coding schemes are needed to improve Bit Error Rate (BER) performance while maintaining low complexity in 6G Compared to 5G. This study analyzes BER performance in 5G and 6G using Convolutional and Low-Density Parity-Check (LDPC) Codes, along with different carrier aggregation techniques. MATLAB simulation shows that LDPC codes significantly reduce BER compared to Convolution codes, making them ideal for 6G networks. Additionally, 6G achieves lower BER than 5G due to improved coding and carrier aggregation, ensuring better spectral efficiency and data reliability. These results highlight the importance of the LDPC coding technique and optimized carrier aggregation for better performance wireless communication.