44 citations · 44 across the 3 of their papers we have counts for
3 papers
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…
Neural RF SLAM for unsupervised positioning and mapping with channel state information
Shreya Kadambi, Arash Behboodi, Joseph B. Soriaga +4
We present a neural network architecture for jointly learning user locations and environment mapping up to isometry, in an unsupervised way, from channel state information (CSI) va…
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing
Akash Doshi, Srinivas Yerramalli, Lorenzo Ferrari +2
The increasing number of wireless devices operating in unlicensed spectrum motivates the development of intelligent adaptive approaches to spectrum access. We consider decentralize…