Performance Analysis of Channel Coding Techniques for 6G Networks

Achieving error-free communication is a significant challenge in wireless technology, forming the foundation for reliable communication systems. However, due to impairments on wireless channels, completely error-free communication is impractical. Channel coding techniques, such as Convolutional codes, LDPC codes, Polar codes and Turbo codes have been pivotal in minimizing error rates across various generations of wireless communication. With the advancement of 5G technology, there is a need for advanced channel coding techniques that prioritize low complexity, reduced Bit error rate and high efficiency. The project examines the performance of these four channel coding schemes for 6G networks. Convolutional codes, widely used in earlier generations of communications, are included as a benchmark to evaluate their suitability for 5G applications. Polar codes, designed to achieve near-Shannon limit performance, are analyzed for their structured approach and application in low-latency scenarios. Turbo codes are evaluated for their iterative decoding mechanism, known for providing reliable performance in noisy environments. LDPC codes, currently utilized in 4G systems, are tested for their efficiency in achieving low BER, reduced complexity, spectral efficiency, latency.