Our research addresses pilot contamination in Massive MIMO systems to improve signal-to-noise ratio (SNR) and overall system performance. By employing advanced optimization techniques and machine learning models, we developed methods to enhance channel estimation accuracy, thereby mitigating interference and boosting SNR. These enhancements are crucial for achieving higher spectral efficiency and reliability in dense network environments, laying a solid foundation for next-generation wireless communication systems such as 5G and 6G.
