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Smart Antennas and Beamforming Using AI : A Path Towards Intelligent Wireless Networks
Sandhya Pande
Department of Technology
Savitribai Phule Pune University, Pune,
Maharashtra, India
Abstract
The evolution of wireless networks, particularly in the context of 5G and the emerging 6G era, necessitates smarter, adaptive communication technologies. Smart antennas, coupled with beamforming techniques, have become critical to improving spectral efficiency, signal quality, and user experience. This paper explores the integration of Artificial Intelligence (AI), particularly machine learning (ML) and deep learning (DL), into beamforming systems to enhance performance in dynamic environments. We review existing techniques, propose an AI-based beamforming model using deep reinforcement learning (DRL), and discuss its potential advantages in terms of signal-to-noise ratio (SNR), interference suppression, and real-time adaptability. The research suggests that AI-augmented beamforming is a promising solution for next-generation wireless networks.
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