963 citations · 3.4k across the 52 of their papers we have counts for
4 papers · 2 filters
Adaptive Neural Signal Detection for Massive MIMO
Mehrdad Khani, Mohammad Alizadeh, Jakob Hoydis +1
Symbol detection for Massive Multiple-Input Multiple-Output (MIMO) is a challenging problem for which traditional algorithms are either impractical or suffer from performance limit…
Transmitter Classification With Supervised Deep Learning
Cyrille Morin, Leonardo Cardoso, Jakob Hoydis +2
Hardware imperfections in RF transmitters introduce features that can be used to identify a specific transmitter amongst others. Supervised deep learning has shown good performance…
Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
Since the seminal paper by Marzetta from 2010, Massive MIMO has changed from being a theoretical concept with an infinite number of antennas to a practical technology. The key conc…
Massive MIMO is a Reality -- What is Next? Five Promising Research Directions for Antenna Arrays
Emil Björnson, Luca Sanguinetti, Henk Wymeersch +2
Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "promising" concept for future cellular networks - in 2018 it became a reality. Base stations (BSs) with 64 f…