6 papers
Beam-Domain Channel Estimation for mmWave MIMO using Sub-6 GHz Out-of-Band Information
Faruk Pasic, Mariam Mussbah, Stefan Schwarz +1
Future wireless multiple-input multiple-output (MIMO) systems will integrate sub-6 GHz and millimeter wave (mmWave) bands to support high data rates for latency-critical applicatio…
Exploiting Out-of-Band Information for Millimeter-Wave MIMO Channel Estimation: Performance in Static and Dynamic Scenarios
Faruk Pasic, Mariam Mussbah, Stefan Schwarz +2
To support the high data rates for latency-critical applications, future wireless systems will employ fully digital beamforming multiple-input multiple-output (MIMO) architectures…
DNN-Enabled Multi-User Beamforming for Throughput Maximization under Adjustable Fairness
Kaifeng Lu, Markus Rupp, Stefan Schwarz
Ensuring user fairness in wireless communications is a fundamental challenge, as balancing the trade-off between fairness and sum rate leads to a non-convex, multi-objective optimi…
Performance Analysis of Digital Beamforming mmWave MIMO with Low-Resolution DACs/ADCs
Faruk Pasic, Mariam Mussbah, Stefan Schwarz +3
Future wireless communications will rely on multiple-input multiple-output (MIMO) beamforming operating at millimeter wave (mmWave) frequency bands to deliver high data rates. To s…
Deep Learning-based mmWave MIMO Channel Estimation using sub-6 GHz Channel Information: CNN and UNet Approaches
Faruk Pasic, Lukas Eller, Stefan Schwarz +2
Future wireless multiple-input multiple-output (MIMO) systems will integrate both sub-6 GHz and millimeter wave (mmWave) frequency bands to meet the growing demands for high data r…
Leveraging Large Reconfigurable Intelligent Surfaces as Anchors for Near-Field Positioning
Zeyu Huang, Markus Rupp, Stefan Schwarz
In this work, we present a recent investigation on leveraging large reconfigurable intelligent surfaces (RIS) as anchors for positioning in wireless communication systems. Unlike e…