2 citations · 3 across the 5 of their papers we have counts for
6 papers
Scalable Cell-Free Massive MIMO Unsourced Random Access System
Michail Gkagkos, Jean-Francois Chamberland, Costas N. Georghiades +1
Cell-Free Massive MIMO systems aim to expand the coverage area of wireless networks by replacing a single high-performance Access Point (AP) with multiple small, distributed APs co…
PolarAir: A Compressed Sensing Scheme for Over-the-Air Federated Learning
Michail Gkagkos, Krishna R. Narayanan, Jean-Francois Chamberland +1
We explore a scheme that enables the training of a deep neural network in a Federated Learning configuration over an additive white Gaussian noise channel. The goal is to create a…
FASURA: A Scheme for Quasi-Static Massive MIMO Unsourced Random Access Channels
Michail Gkagkos, Krishna R. Narayanan, Jean-Francois Chamberland +1
This article considers the massive MIMO unsourced random access problem on a quasi-static Rayleigh fading channel. Given a fixed message length and a prescribed number of channel u…
Indirect Rate Distortion Functions with Side Information: Structural Properties and Multivariate Gaussian Sources
Evagoras Stylianou, Michail Gkagkos, Charalambos D. Charalambous
In this paper, we analyze the indirect source coding problem with side information at both the encoder and decoder, as well as only at the decoder. We first derive structural prope…
Approximate Support Recovery using Codes for Unsourced Multiple Access
Michail Gkagkos, Asit Kumar Pradhan, Vamsi Amalladinne +3
We consider the approximate support recovery (ASR) task of inferring the support of a -sparse vector from noisy measurements. We examine the case…
Structural Properties of Optimal Test Channels for Distributed Source Coding with Decoder Side Information for Multivariate Gaussian Sources with Square-Error Fidelity
Michail Gkagkos, Charalambos D. Charalambous
This paper focuses on the structural properties of test channels, of Wyner's operational information rate distortion function (RDF), , of a tuple of multivariate…