16 citations · 33 across the 13 of their papers we have counts for
16 papers
User Coordination for Fast Beam Training in FDD Multi-User Massive MIMO
Flavio Maschietti, Gábor Fodor, David Gesbert +1
Massive multiple-input multiple-output (mMIMO) communications are one of the enabling technologies of 5G and beyond networks. While prior work indicates that mMIMO networks employi…
Decentralizing Multi-Operator Cognitive Radio Resource Allocation: An Asymptotic Analysis
Ehsan Tohidi, David Gesbert, Antonio Bazco-Nogueras +1
We address the problem of resource allocation (RA) for spectrum underlay in a cognitive radio (CR) communication system with multiple secondary operators sharing resource with an i…
DoF Region of the Decentralized MIMO Broadcast Channel -- How many informed antennas do we need?
Antonio Bazco-Nogueras, Arash Davoodi, Paul de Kerret +3
In this work, we study the impact of imperfect sharing of the Channel State Information (CSI) available at the transmitters on a Network MIMO setting in which a set of transmit…
Machine Learning in the Air
Deniz Gunduz, Paul de Kerret, Nicholas D. Sidiropoulos +3
Thanks to the recent advances in processing speed and data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and transforming research in many…
Coordinated Beam Selection in Millimeter Wave Multi-User MIMO Using Out-of-Band Information
Flavio Maschietti, David Gesbert, Paul de Kerret
Using out-of-band (OOB) side-information has recently been shown to accelerate beam selection in single-user millimeter wave (mmWave) massive MIMO communications. In this paper, we…
Achieving Vanishing Rate Loss in Decentralized Network MIMO
Antonio Bazco Nogueras, Lorenzo Miretti, Paul de Kerret +2
In this paper, we analyze a Network MIMO channel with 2 Transmitters (TXs) jointly serving 2 users, where each TX has a different multi-user Channel State Information (CSI), potent…