82 citations · 187 across the 22 of their papers we have counts for
6 papers · 1 filter
Demonstrating Interoperable Channel State Feedback Compression with Machine Learning
Dani Korpi, Rachel Wang, Jerry Wang +20
Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Var…
Beamforming with hybrid reconfigurable parasitic antenna arrays
Nitish Vikas Deshpande, Miguel Rodrigo Castellanos, Saeed R. Khosravirad +3
A parasitic reconfigurable antenna array is a low-power approach for beamforming using passive tunable elements. Prior work on reconfigurable antennas in communication theory is ba…
Downlink Power Control based UE-Sided Initial Access for Tactical 5G NR
Akshay Jain, Karthik Upadhya, Mikko A. Uusitalo +1
Communication technologies play a crucial role in battlefields. They are an inalienable part of any tactical response, whether at the battlefront or inland. Such scenarios require…
LPD-Aware Uplink CSI-based 5G NR Downlink Synchronization for Tactical Networks
Karthik Upadhya, Akshay Jain, Mikko A. Uusitalo +1
5G NR is touted to be an attractive candidate for tactical networks owing to its versatility, scalability, and low cost. However, tactical networks need to be stealthy, where an ad…
Energy Efficient Extreme MIMO: Design Goals and Directions
Stefan Wesemann, Jinfeng Du, Harish Viswanathan
Ever since the invention of Bell Laboratories Layer Space-Time (BLAST) in mid 1990s, the focus of MIMO research and development has been largely on pushing the limit of spectral ef…
A wideband generalization of the near-field region for extremely large phased-arrays
Nitish Deshpande, Miguel R. Castellanos, Saeed R. Khosravirad +3
The narrowband and far-field assumption in conventional wireless system design leads to a mismatch with the optimal beamforming required for wideband and near-field systems. This d…