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Title	Shaping Wireless Landscape: Beamforming In Noma Systems For Power Optimization
ID_Doc	48606
Authors	Vibhute S.P.; Patil P.; Jagtap A.; Talekar A.
Year	2025
Published	2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2025
DOI	http://dx.doi.org/10.1109/RMKMATE64874.2025.11042633
Abstract	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. © 2025 IEEE.
Author Keywords	Beamforming; Energy Efficiency; IoT Networks; MIMO; Non-Orthogonal Multiple Access (NOMA); Power Allocation; Spectral Efficiency; Zero-Forcing Beamforming (ZFBF)

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