M
Michal Simko
Researcher at Vienna University of Technology
Publications - 28
Citations - 869
Michal Simko is an academic researcher from Vienna University of Technology. The author has contributed to research in topics: Orthogonal frequency-division multiplexing & Communication channel. The author has an hindex of 12, co-authored 27 publications receiving 825 citations.
Papers
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Journal ArticleDOI
The Vienna LTE simulators - Enabling reproducibility in wireless communications research
Christian Mehlfuhrer,Josep Colom Ikuno,Michal Simko,Stefan Schwarz,Martin Wrulich,Markus Rupp +5 more
TL;DR: This study explains how link and system level simulations are connected and shows how the link level simulator serves as a reference to design the system level simulator, and compares the accuracy of the PHY modeling at system level by means of simulations performed both with bit-accurate link level simulations and PHY-model-based systemlevel simulations.
Journal ArticleDOI
Pushing the Limits of LTE: A Survey on Research Enhancing the Standard
TL;DR: A standard-compliant opensource simulation platform for LTE that enables reproducible research in a well-defined environment is developed and it is demonstrated that innovative research under the confined framework of a real-world standard is possible, sometimes even encouraged.
Proceedings Article
Implementation Aspects of Channel Estimation for 3GPP LTE Terminals
TL;DR: A channel estimation ASIC, which handles the real-time channel estimation, is presented, which boosts the throughput at feasible silicon cost by adopting a recently proposed estimation method named Approximate Linear Minimum Mean Square Error (ALMMSE).
Journal ArticleDOI
Adaptive Pilot-Symbol Patterns for MIMO OFDM Systems
TL;DR: This paper shows how to design optimal pilot-symbol patterns by maximizing an upper bound of a constrained capacity that takes channel estimation errors and Inter Carrier Interference into account, and proposes adaptive pilot-Symbol patterns that follow changing channel statistics.
Proceedings ArticleDOI
Doubly dispersive channel estimation with scalable complexity
TL;DR: An Approximate Linear Minimum Mean Square Error (ALMMSE) fast fading channel estimator for Orthogonal Frequency Division Multiplexing (OFDM) that utilizes the knowledge of the structure of the autocorrelation matrix given by the Kronecker product between the time correlation matrix and the frequency correlation matrix.