2 citations · 3 across the 10 of their papers we have counts for
4 papers · 1 filter
Feature Learning for Neural-Network-Based Positioning with Channel State Information
Emre Gönültaş, Sueda Taner, Howard Huang +1
Recent channel state information (CSI)-based positioning pipelines rely on deep neural networks (DNNs) in order to learn a mapping from estimated CSI to position. Since real-world…
Hardware-Aware Beamspace Precoding for All-Digital mmWave Massive MU-MIMO
Emre Gönültaş, Sueda Taner, Alexandra Gallyas-Sanhueza +2
Massive multi-user multiple-input multiple-output (MU-MIMO) wireless systems operating at millimeter-wave (mmWave) frequencies enable simultaneous wideband data transmission to a l…
-Norm Minimization for Joint Precoding and Peak-to-Average-Power Ratio Reduction
Sueda Taner, Christoph Studer
Wireless communication systems that rely on orthogonal frequency-division multiplexing (OFDM) suffer from a high peak-to-average (power) ratio (PAR), which necessitates power-ineff…
Optimality of the Discrete Fourier Transform for Beamspace Massive MU-MIMO Communication
Sueda Taner, Christoph Studer
Beamspace processing is an emerging technique to reduce baseband complexity in massive multiuser (MU) multiple-input multiple-output (MIMO) communication systems operating at milli…