Year: 2025
Type: article
Abstract: The following research focuses on adaptive beamforming techniques to improve communication efficiency in WSNs integrated into 5G networks.Beamforming offers a better Signal-to-Interference-plus-Noise Ratio (SINR), reduces energy consumption, and maximizes the quality of communication in the network by exploiting directional signal processing.The performance of various adaptive beamforming algorithms, such as LMS, RLS, and MVDR, is compared in terms of common metrics such as BER, energy efficiency, and latency.Simulation results show that adaptive beamforming methods outperform traditional approaches, especially in dense interference-laden environments.Therefore, these techniques are potential candidates to revolutionize the WSN-based communication paradigm in 5G applications in the future by enhancing the data throughput and lifetime of the network.
Authors: Aseel Qasim, Zainab Naser Azeez, Amjed Jumaah
Institutions: Thi Qar University, Al-Ayen Iraqi University
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4414816219
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