Electronic engineering, MIMO, Algorithm, Communication channel and Telecommunications link are his primary areas of study. His Electronic engineering research includes themes of Signal-to-noise ratio, Bit error rate, Orthogonal frequency-division multiplexing, Field-programmable gate array and Electrical engineering. Markus Rupp combines subjects such as Wireless and UMTS frequency bands with his study of MIMO.
His biological study spans a wide range of topics, including Control theory, Robustness and Signal processing. His studies in Communication channel integrate themes in fields like Transmission, Throughput, Modulation and Estimator. The study incorporates disciplines such as Cellular network, Physical layer and Base station in addition to Telecommunications link.
Markus Rupp mostly deals with Electronic engineering, Communication channel, Algorithm, MIMO and Computer network. His work carried out in the field of Electronic engineering brings together such families of science as Transmission, Throughput, Orthogonal frequency-division multiplexing, Telecommunications link and Antenna. His work in Telecommunications link tackles topics such as Real-time computing which are related to areas like Cellular network.
His Communication channel research is multidisciplinary, incorporating perspectives in Wireless, Signal-to-noise ratio, Filter bank and Interference. His Algorithm research includes elements of Minimum mean square error, Mathematical optimization, Control theory and Signal processing. His work on MIMO is being expanded to include thematically relevant topics such as Transmitter.
His primary areas of study are Communication channel, Algorithm, Wireless, MIMO and Orthogonal frequency-division multiplexing. His study in Communication channel is interdisciplinary in nature, drawing from both Acoustics, Spatial correlation, Interference and Signal-to-noise ratio. He interconnects Rayleigh fading, Real-time computing, Spectral efficiency, Base station and Telecommunications link in the investigation of issues within Wireless.
His MIMO research focuses on Transmitter and how it relates to Singular value. His Orthogonal frequency-division multiplexing research is multidisciplinary, incorporating elements of Interference, Optimization problem, Electronic engineering, Filter bank and Preamble. Markus Rupp studied Electronic engineering and Transmission that intersect with Reliability.
His primary areas of investigation include Communication channel, Algorithm, Orthogonal frequency-division multiplexing, Interference and Electronic engineering. His Communication channel study incorporates themes from Interference, Acoustics and Modulation. His Algorithm study integrates concerns from other disciplines, such as Spatial correlation, Equalization, Beamforming, Minimum mean square error and MIMO.
When carried out as part of a general MIMO research project, his work on Precoding is frequently linked to work in Coupling, therefore connecting diverse disciplines of study. His research in Orthogonal frequency-division multiplexing intersects with topics in Latency, Filter, Network packet, Real-time computing and Filter bank. His Electronic engineering study focuses on Bandwidth in particular.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
System Level Simulation of LTE Networks
Josep Colom Ikuno;Martin Wrulich;Markus Rupp.
vehicular technology conference (2010)
Simulating the Long Term Evolution physical layer
Christian Mehlfuhrer;Martin Wrulich;Josep Colom Ikuno;Dagmar Bosanska.
european signal processing conference (2009)
Wireless Myths, Realities, and Futures: From 3G/4G to Optical and Quantum Wireless
L. Hanzo;H. Haas;S. Imre;D. O'Brien.
arXiv: Quantum Physics (2012)
The Vienna LTE simulators - Enabling reproducibility in wireless communications research
Christian Mehlführer;Josep Colom Colom Ikuno;Michal Šimko;Stefan Schwarz.
EURASIP Journal on Advances in Signal Processing (2011)
Future railway services-oriented mobile communications network
Bo Ai;Ke Guan;Markus Rupp;Thomas Kurner.
IEEE Communications Magazine (2015)
Likelihood Consensus and Its Application to Distributed Particle Filtering
Ondrej Hlinka;Ondrej Slučiak;Franz Hlawatsch;Petar M. Djurić.
IEEE Transactions on Signal Processing (2012)
RFID Reader Receivers for Physical Layer Collision Recovery
C Angerer;R Langwieser;M Rupp.
IEEE Transactions on Communications (2010)
The Vienna LTE-Advanced Simulators
Markus Rupp;Stefan Schwarz;Martin Taranetz.
(2016)
A family of adaptive filter algorithms with decorrelating properties
M. Rupp.
IEEE Transactions on Signal Processing (1998)
Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications
Ronald Nissel;Stefan Schwarz;Markus Rupp.
IEEE Journal on Selected Areas in Communications (2017)
École Polytechnique Fédérale de Lausanne
Nokia Bell Labs
TU Wien
École Polytechnique Fédérale de Lausanne
North Carolina State University
University of Southampton
TU Wien
Southern Methodist University
Stony Brook University
ETH Zurich
Profile was last updated on December 6th, 2021.
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