Analysis of 256-QAM optical OFDM-NOMA signal detection using beam forming

Abstract The incessant growth of data demand in modern communication systems has spurred the quest for innovative technologies capable of delivering higher data rates, improved spectral efficiency, and enhanced quality of service. This research focuses on the synergistic integration of three cutting-edge technologies: 256-QAM (quadrature amplitude modulation), NOMA (non-orthogonal multiple access), and hybrid beamforming within the optical OFDM (orthogonal frequency division multiplexing) framework. The aim is to investigate their combined potential for revolutionizing optical communication networks and meeting the escalating demands of 5G and beyond. The methodology employed in this research entails extensive simulations and analytical assessments to gauge the performance of the proposed system under diverse channel conditions and operational scenarios. Metrics such as bit error rate (BER), spectral efficiency, and capacity are scrutinized to provide insights into the system’s efficiency and scalability. The amalgamation of 256-QAM, NOMA, and hybrid beamforming is expected to yield exponential gains in spectral efficiency, thereby optimizing the utilization of precious spectral resources. Reduced latency is pivotal for an array of real-time applications such as autonomous vehicles and augmented reality. This research aims to minimize latency, ensuring timely and responsive data transmission.