World's Best Scientists 2026 revealed!
Markus Rupp

Markus Rupp

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Electronics and Electrical Engineering
Austria
2026

D-Index & Metrics

Computer Science

D-Index
62
Citations
15734
World Ranking
2894
National Ranking
17

Electronics and Electrical Engineering

D-Index
62
Citations
15767
World Ranking
1438
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Electronics and Electrical Engineering in Austria Leader Award
  • 2025 - Research.com Electronics and Electrical Engineering in Austria Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Austria Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Austria Leader Award

Overview

Markus Rupp is affiliated with TU Wien in Austria, contributing extensively to the field of engineering, with a prominent focus on electrical and electronic engineering. Their work spans multiple subfields including computer networks and communications, aerospace engineering, signal processing, and biomedical engineering.

The research topics Markus Rupp addresses cover a broad spectrum of wireless communication and signal processing challenges. Main topics include:

  • Millimeter-Wave Propagation and Modeling
  • Advanced MIMO Systems Optimization
  • Indoor and Outdoor Localization Technologies
  • PAPR reduction in OFDM
  • Advanced Wireless Communication Techniques
  • Wireless Communication Networks Research
  • Power Line Communications and Noise

Markus Rupp's recent publications reflect their expertise in wireless communications and digital signal processing. Selected papers include:

  • "5G Key Technologies for Smart Railways" (2020), published in Proceedings of the IEEE
  • "On Feedback Sample Selection Methods Allowing Lightweight Digital Predistorter Adaptation" (2020), published in IEEE Transactions on Circuits and Systems I Regular Papers
  • "Multiplexing Services in 5G and Beyond: Optimal Resource Allocation Based on Mixed Numerology and Mini-Slots" (2020), published in IEEE Access
  • "A Deep Learning Network Planner: Propagation Modeling Using Real-World Measurements and a 3D City Model" (2022), published in IEEE Access
  • "Localizing Basestations From End-User Timing Advance Measurements" (2022), published in IEEE Access

The scientist collaborates frequently with peers such as Štefan Schwarz, Philipp Svoboda, Artan Salihu, Lukas Eller, and Sergei Tretyakov.

Publications by Markus Rupp have appeared repeatedly in key venues including:

  • IEEE Access
  • arXiv (Cornell University)
  • 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
  • IEEE Communications Letters
  • IEEE Transactions on Circuits and Systems I Regular Papers

Best Publications

  • System Level Simulation of LTE Networks

    Josep Colom Ikuno;Martin Wrulich;Markus Rupp

  • Simulating the Long Term Evolution physical layer

    Christian Mehlfuhrer;Martin Wrulich;Josep Colom Ikuno;Dagmar Bosanska

  • Wireless Myths, Realities, and Futures: From 3G/4G to Optical and Quantum Wireless

    L. Hanzo;H. Haas;S. Imre;D. O'Brien

  • The Vienna LTE simulators - Enabling reproducibility in wireless communications research

    Christian Mehlführer;Josep Colom Colom Ikuno;Michal Šimko;Stefan Schwarz

  • Filter Bank Multicarrier Modulation Schemes for Future Mobile Communications

    Ronald Nissel;Stefan Schwarz;Markus Rupp

  • 5G Key Technologies for Smart Railways

    Bo Ai;Andreas F. Molisch;Markus Rupp;Zhang-Dui Zhong

  • Future railway services-oriented mobile communications network

    Bo Ai;Ke Guan;Markus Rupp;Thomas Kurner

  • Likelihood Consensus and Its Application to Distributed Particle Filtering

    Ondrej Hlinka;Ondrej Slučiak;Franz Hlawatsch;Petar M. Djurić

  • Analysis of Uplink IRS-Assisted NOMA Under Nakagami- m Fading via Moments Matching

    Bashar Tahir;Stefan Schwarz;Markus Rupp

  • The Vienna LTE-Advanced Simulators

    Markus Rupp;Stefan Schwarz;Martin Taranetz

  • RFID Reader Receivers for Physical Layer Collision Recovery

    C Angerer;R Langwieser;M Rupp

  • Energy Efficiency of mmWave Massive MIMO Precoding With Low-Resolution DACs

    Lucas N. Ribeiro;Stefan Schwarz;Markus Rupp;Andre L. F. de Almeida

  • A family of adaptive filter algorithms with decorrelating properties

    M. Rupp

  • Low complexity approximate maximum throughput scheduling for LTE

    Stefan Schwarz;Christian Mehlfuhrer;Markus Rupp

  • Calculation of the spatial preprocessing and link adaption feedback for 3GPP UMTS/LTE

    Stefan Schwarz;Christian Mehlfuhrer;Markus Rupp

  • The behavior of LMS and NLMS algorithms in the presence of spherically invariant processes

    M. Rupp

  • Prototype experience for MIMO BLAST over third-generation wireless system

    A. Adjoudani;E.C. Beck;A.P. Burg;G.M. Djuknic

  • A time-domain feedback analysis of filtered-error adaptive gradient algorithms

    M. Rupp;A.H. Sayed

  • A comparison between one-way delays in operating HSPA and LTE networks

    Markus Laner;Philipp Svoboda;Peter Romirer-Maierhofer;Navid Nikaein

  • Traffic models for machine type communications

    Markus Laner;Philipp Svoboda;Navid Nikaein;Markus Rupp

  • Wireless Myths, Realities, and Futures: From 3G/4G to Optical and Quantum Wireless This paper evaluates both the operational third-generation (3G) as well as the emerging fourth-generation (4G) wireless systems and investigates new technologies that might transpire and change things in the future.

    Lajos Hanzo;Harald Haas;Dominic O'Brien;Markus Rupp

Frequent Co-Authors

Ali H. Sayed
Ali H. Sayed École Polytechnique Fédérale de Lausanne
Harish Viswanathan
Harish Viswanathan Nokia (United States)
Andreas Burg
Andreas Burg École Polytechnique Fédérale de Lausanne
Lajos Hanzo
Lajos Hanzo University of Southampton
Robert W. Heath
Robert W. Heath University of California, San Diego
Scott C. Douglas
Scott C. Douglas Southern Methodist University
Thomas Zemen
Thomas Zemen Austrian Institute of Technology

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