Optimized Multi-Antenna Wireless Communication: Enhancing Beam Forming, Security and Energy Efficiency

Fulgencio Estefan*
Department of Electrical Engineering, University of Matanzas, Matanzas, Cuba.
Periodicity:July - September'2024
DOI : https://doi.org/10.26634/jps.12.2.21664

Abstract

Wireless communication systems have seen exponential growth due to the increasing demand for high-speed data transmission, improved spectral efficiency, and enhanced energy optimization. This paper explores optimization techniques for reliable data communication in multi-antenna wireless systems, particularly focusing on Multiple-Input Multiple-Output (MIMO) and Multiple-Input Single-Output (MISO) architectures. The study integrates beamforming, energy harvesting, and secure wireless information transmission through novel mathematical optimization frameworks. Key contributions include coordinated multi-cell beamforming, SINR balancing for energy-harvesting systems, and secrecy wireless information and power transfer (SWIPT) in MIMO channels. Experimental simulations demonstrate significant improvements in signal-to-noise ratio (SNR), power efficiency, and security enhancement, making these methods viable for next-generation 5G and 6G networks.

Keywords

Wireless Communication, Data Communication, Beamforming, Security, Energy Efficiency.

How to Cite this Article?

Estefan, F. (2024). Optimized Multi-Antenna Wireless Communication: Enhancing Beam Forming, Security and Energy Efficiency. i-manager’s Journal on Power Systems Engineering, 12(2), 8-14. https://doi.org/10.26634/jps.12.2.21664

References

[4]. Kumar, N. A., & Daniel, R. (2024). Artificial intelligence-based energy efficiency models in green communications towards 6G. In Towards Wireless Heterogeneity in 6G Networks (pp. 158-179). CRC Press.
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