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A Machine Learning Solution for Beam Tracking in mmWave Systems
Daoud Burghal, Naveed A. Abbasi, Andreas F. Molisch
Utilizing millimeter-wave (mmWave) frequencies for wireless communication in \emph{mobile} systems is challenging since it requires continuous tracking of the beam direction. Recen…
Double Directional Channel Measurements for THz Communications in an Urban Environment
Naveed A. Abbasi, Arjun Hariharan, Arun Moni Nair +4
While mm-wave systems are a mainstay for 5G communications, the inexorable increase of data rate requirements and user densities will soon require the exploration of next-generatio…
Channel Extrapolation for FDD Massive MIMO: Procedure and Experimental Results
Thomas Choi, François Rottenberg, Jorge Gomez-Ponce +4
Application of massive multiple-input multiple-output (MIMO) systems to frequency division duplex (FDD) is challenging mainly due to the considerable overhead required for downlink…
Performance Analysis of Channel Extrapolation in FDD Massive MIMO Systems
Francois Rottenberg, Thomas Choi, Peng Luo +2
Channel estimation for the downlink of frequency division duplex (FDD) massive MIMO systems is well known to generate a large overhead as the amount of training generally scales wi…
How Many Antennas Do We Need for Massive MIMO Channel Sounding? - Validating Through Measurement
Thomas Choi, François Rottenberg, Peng Luo +2
This paper investigates the impact of the number of antennas (8 to 64) and the array configuration on massive MIMO channel parameters estimation for multiple propagation scenarios…
Sparsity in the Delay-Doppler Domain for Measured 60 GHz Vehicle-to-Infrastructure Communication Channels
Herbert Groll, Erich Zöchmann, Stefan Pratschner +9
We report results from millimeter wave vehicle-to-infrastructure (V2I) channel measurements conducted on Sept. 25, 2018 in an urban street environment, down-town Vienna, Austria. M…