Projects

Module 1: PHY Enhancements (Nokia)

Recent publication highlights

A Spatially Consistent MIMO Channel Model With Adjustable K Factor, S. Pratschner, IEEE Access, 2019

Assessment and Comparison of Multicarrier Waveforms Under Nonlinear Conditions, K. Kirev, WSA 2019

Multi-User Resource Allocation for Low Latency Communications Based on Mixed Numerology, L. Marijanovic, VTC-Fall 2019

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Main research directions
  • Orthogonal and non-orthogonal multicarrier transmissions (OFDM, UFMC, FBMC)
  • Multicarrier numerology optimization
  • Full-dimension (distributed) massive MIMO
  • Spatially consistent channel modeling

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Module 2: Innovative Technologies (A1)

Recent publication highlights

Constructing Grassmannian Frames by an Iterative Collision-Based Packing, B. Tahir, IEEE SPL, 2019

Experimental Evaluation of the Influence of Fast Movement on Virtual Antenna Arrays, D. Schützenhöfer, WSA 2019

Coverage Analysis of Relay Assisted V2I Communication in Microcellular Urban Networks, B. R. Elbal, EUSIPCO 2019

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Main research directions
  • Cellular-assisted vehicular communications
  • mmWave transmissions
  • Non-orthogonal multiple access (NOMA)
  • MIMO experimentation

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Module 3: Network Architectures (Kathrein)

Recent publication highlights

Investigation of Wraparound Techniques for the Simulation of Wireless Cellular Networks, A. Fastenbauer, WSA 2019

Integration of High Speed Train Channel Measurements in System Level Simulations, M. Müller, EUSIPCO 2019

Flexible multi-node simulation of cellular mobile communications: the Vienna 5G System Level Simulator, M. Müller, EURASIP JWCN 2018

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Main research directions
  • Interference modeling and mitigation
  • System level analysis and simulations
  • Stochastic-geometric approaches

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Module 4: Location Awareness (ÖBB Infra)

Recent publication highlights

Dynamic Distributed Antenna Systems with Wireless mmWave Fronthaul, S. Schwarz, Asilomar SSC 2019

An LS Localisation Method for Massive MIMO Transmission Systems, M. Rupp and S. Schwarz, ICASSP 2019

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Main research directions
  • Location-aware proactive and reactive capacity provisioning
  • Machine-learning based localization and crowd analysis
  • Full-dimension MIMO in railroad and vehicular communications

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