activity
20172020
most citedRobust Location-Aided Beam Alignment in Millimeter Wave Massive MIMO

8 citations · 11 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2020

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…

eess.SP2019★ 1 cited

Exploring the Trade-Off between Privacy and Coordination in Millimeter Wave Spectrum Sharing

Flavio Maschietti, Paul de Kerret, David Gesbert

The synergetic gains of spectrum sharing and millimeter wave communication networks have recently attracted attention, owing to the interference canceling benefits of highly-direct…

eess.SP2019

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…

eess.SP2017★ 2 cited

Location-Aided Coordinated Analog Precoding for Uplink Multi-User Millimeter Wave Systems

Flavio Maschietti, David Gesbert, Paul de Kerret

Millimeter wave (mmWave) communication is expected to play an important role in next generation cellular networks, aiming to cope with the bandwidth shortage affecting conventional…

cs.IT2017★ 8 cited

Robust Location-Aided Beam Alignment in Millimeter Wave Massive MIMO

Flavio Maschietti, David Gesbert, Paul de Kerret +1

Location-aided beam alignment has been proposed recently as a potential approach for fast link establishment in millimeter wave (mmWave) massive MIMO (mMIMO) communications. Howeve…