Shaping wireless landscape: Beamforming in NOMA systems for power optimization

In order to improve communication efficiency in user-centric MIMO-NOMA IoT networks, this study explores the combination of beamforming optimization with Non-Orthogonal Multiple Access (NOMA) approaches. Zero-Forcing Beamforming (ZFBF) is used in the implementation to ‘reduce interference and improve signal quality,’ while power allocation techniques ensure effective user resource distribution [2]. Comprehensive simulations are used to examine key performance indicators like spectrum efficiency, energy efficiency, system capacity, and user fairness. The project tackles issues like scaling to high-density IoT contexts, interference mitigation, and striking a balance between fairness and throughput. In order to show the potential of this approach for practical applications in smart cities, industrial IoT, and other high-demand communication systems, future improvements are suggested, including the integration of dynamic AP grouping using machine learning, energy harvesting models, and mobility simulations.