119 citations · 173 across the 5 of their papers we have counts for
5 papers
An Encoder-Decoder Network for Beamforming over Sparse Large-Scale MIMO Channels
Yubo Zhang, Jeremy Johnston, Xiaodong Wang
We develop an end-to-end deep learning framework for downlink beamforming in large-scale sparse MIMO channels. The core is a deep EDN architecture with three modules: (i) an encode…
Semi-Blind Multi-Tag Ambient Backscatter Communications Using Radar Signals
Luca Venturino, Emanuele Grossi, Jeremy Johnston +2
In this work, we consider a backscatter communication system wherein multiple asynchronous sources (tags) exploit the reverberation generated by a nearby radar transmitter as an am…
Radar-enabled ambient backscatter communications
Luca Venturino, Emanuele Grossi, Marco Lops +2
In this work, we exploit the radar clutter (i.e., the ensemble of echoes generated by the terrain and/or the surrounding objects in response to the signal emitted by a radar transm…
MIMO OFDM Dual-Function Radar-Communication Under Error Rate and Beampattern Constraints
Jeremy Johnston, Luca Venturino, Emanuele Grossi +2
In this work we consider a multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system, which senses multiple spatial directions and serves multiple users…
ADMM-Net for Communication Interference Removal in Stepped-Frequency Radar
Jeremy Johnston, Yinchuan Li, Marco Lops +1
Complex ADMM-Net, a complex-valued neural network architecture inspired by the alternating direction method of multipliers (ADMM), is designed for interference removal in super-res…