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20182026
most citedChannel Estimation for mmWave MIMO using sub-6 GHz Out-of-Band Information

7 citations · 7 across the 5 of their papers we have counts for

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eess.SP2026

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…

eess.SP2026

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…

eess.SP2026

The Vienna 4G/5G Drive-Test Dataset

Wilfried Wiedner, Lukas Eller, Mariam Mussbah +4

Machine learning for mobile network analysis, planning, and optimization is often limited by the lack of large, comprehensive real-world datasets. This paper introduces the Vienna…

eess.SP2026

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…

eess.SP2018

Versatile Mobile Communications Simulation: The Vienna 5G Link Level Simulator

Stefan Pratschner, Bashar Tahir, Ljiljana Marijanovic +5

Research and development of mobile communications systems require a detailed analysis and evaluation of novel technologies to further enhance spectral efficiency, connectivity and…