803 citations · 3.5k across the 244 of their papers we have counts for
9 papers · 2 filters
Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO With One-Bit ADCs
Seok-Hwan Park, Osvaldo Simeone, Yonina C. Eldar +1
In a cell-free cloud radio access network (C-RAN) architecture, uplink channel estimation is carried out by a centralized baseband processing unit (BBU) connected to distributed re…
End-to-end Learning of Waveform Generation and Detection for Radar Systems
Wei Jiang, Alexander M. Haimovich, Osvaldo Simeone
An end-to-end learning approach is proposed for the joint design of transmitted waveform and detector in a radar system. Detector and transmitted waveform are trained alternately:…
Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT
Johannes Dommel, Zoran Utkovski, Slawomir Stanczak +1
Consider an Internet-of-Things (IoT) system that monitors a number of multi-valued events through multiple sensors sharing the same bandwidth. Each sensor measures data correlated…
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels
Sangwoo Park, Osvaldo Simeone, Joonhyuk Kang
When a channel model is available, learning how to communicate on fading noisy channels can be formulated as the (unsupervised) training of an autoencoder consisting of the cascade…
Blind Sparse Estimation of Intermittent Sources over Unknown Fading Channels
Annan Dong, Osvaldo Simeone, Alexander Haimovich +1
Radio frequency sources are observed at a fusion center via sensor measurements made over slow flat-fading channels. The number of sources may be larger than the number of sensors,…
Learning to Demodulate from Few Pilots via Offline and Online Meta-Learning
Sangwoo Park, Hyeryung Jang, Osvaldo Simeone +1
This paper considers an Internet-of-Things (IoT) scenario in which devices sporadically transmit short packets with few pilot symbols over a fading channel. Devices are characteriz…