Performance Improvement in 6G Mobile Communication Using Non-Orthogonal Multiple Access Techniques

The 6G mobile communication system aims to provide vast connectivity, ultra-reliable low-latency communication (URLLC), and high Information rates to support advanced applications like IoT, augmented reality, and autonomous vehicles. Traditional multiple access techniques face challenges in meeting these demands due to limitations in bandwidth efficiency and interference management. Non-orthogonal multiple Access (NOMA) offers a promising solution by allowing many users to utilize the same frequency and time resources through power domain differentiation. This paper focuses on enhancing 6G network performance by improving channel capacity, optimizing Power distribution based on user distance, and analyzing Bit error rate (BER) against Signal-to-noise ratio (SNR). We employ clustering techniques to group users based on their proximity and implement adaptive power allocation strategies to maximize channel capacity, and user fairness. Simulation results validate the effectiveness of these methods, demonstrating significant improvements in spectral efficiency, channel capacity, BER vs SNR performance. Our work highlights NOMA's potential in addressing the scalability and reliability demands of dense 6G environments, paving the way for robust, high-capacity mobile communications.