Internship: Channel-Adaptive Machine Learning-Based mmWave Beamforming
King Abdullah University of Science and Technology (KAUST)
Saudi Arabia
Summary
Develop and evaluate machine learning-driven mmWave beamforming for adaptive beam selection using real-time channel state information to improve throughput and robustness in mobile and non-line-of-sight wireless environments.
