most citedA Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing

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eess.SP2022

Beyond Codebook-Based Analog Beamforming at mmWave: Compressed Sensing and Machine Learning Methods

Hamed Pezeshki, Fabio Valerio Massoli, Arash Behboodi +6

Analog beamforming is the predominant approach for millimeter wave (mmWave) communication given its favorable characteristics for limited-resource devices. In this work, we aim at…