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Found 3 papers, 1 papers with code
Deep Learning Assisted Calibrated Beam Training for Millimeter-Wave Communication Systems
To tackle this problem, the second scheme adopts long-short term memory (LSTM) network for tracking the movement of users and calibrating the beam direction according to the received signals of prior beam training, in order to enhance the robustness to noise.
Deep Learning Assisted mmWave Beam Prediction with Prior Low-frequency Information
Huge overhead of beam training poses a significant challenge to mmWave communications.
Transmit Antenna Selection in MIMO Wiretap Channels: A Machine Learning Approach
In this letter, we exploit the potential benefits of machine learning in enhancing physical layer security in multi-input multi-output multi-antenna-eavesdropper wiretap channels.
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