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Ove Edfors

Ove Edfors

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
34525
World Ranking
3298
National Ranking
57

Overview

Ove Edfors is affiliated with Lund University in Sweden and has a research focus primarily within the field of Engineering. Their work spans several subfields, including Electrical and Electronic Engineering, Aerospace Engineering, Computer Networks and Communications, Signal Processing, and Ocean Engineering.

Their research topics cover a range of areas related to wireless communication and signal processing technologies, including:

  • Advanced MIMO Systems Optimization
  • Millimeter-Wave Propagation and Modeling
  • Advanced Wireless Communication Technologies
  • Microwave Engineering and Waveguides
  • Energy Harvesting in Wireless Networks
  • Satellite Communication Systems
  • Advanced Antenna and Metasurface Technologies

Ove Edfors has contributed to multiple publications featured in a variety of venues. Frequent publication outlets include:

  • arXiv (Cornell University)
  • IEEE Transactions on Wireless Communications
  • IEEE Transactions on Signal Processing
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • Zenodo (CERN European Organization for Nuclear Research)

Significant recent papers authored or co-authored by Ove Edfors demonstrate a focus on multi-antenna systems, signal processing algorithms, and channel characterization methodologies. Some of these include:

  • "Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms," 2020, published in IEEE Transactions on Signal Processing
  • "Spatially Coupled Serially Concatenated Codes: Performance Evaluation and VLSI Design Tradeoffs," 2022, IEEE Transactions on Circuits and Systems I Regular Papers
  • "Angular-Domain Massive MIMO Detection: Algorithm, Implementation, and Design Tradeoffs," 2020, IEEE Transactions on Circuits and Systems I Regular Papers
  • "Trade-offs in Decentralized Multi-Antenna Architectures: The WAX Decomposition," 2020, arXiv (Cornell University)
  • "A Switched Array Sounder for Dynamic Millimeter-Wave Channel Characterization: Design, Implementation, and Measurements," 2024, IEEE Transactions on Antennas and Propagation

Collaboration is notable in Edfors's work, often partnering with several researchers. Frequent co-authors include:

  • Liang Liu
  • Juan Vidal Alegría
  • Fredrik Tufvesson
  • Jesús Rodríguez Sánchez
  • Fredrik Rusek

The scope of Edfors's contributions reflects an emphasis on advanced communication systems, algorithmic development for signal processing, and experimental characterization techniques in wireless networks, supporting ongoing developments in telecommunications and related engineering domains.

Best Publications

  • Massive MIMO for next generation wireless systems

    Erik Larsson;Ove Edfors;Fredrik Tufvesson;Thomas Marzetta

  • Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays

    F. Rusek;D. Persson;Buon Kiong Lau;E. G. Larsson

  • Scaling up MIMO: Opportunities and Challenges with Very Large Arrays

    Fredrik Rusek;Daniel Persson;Buon Kiong Lau;Erik G. Larsson

  • On channel estimation in OFDM systems

    J.-J. van de Beek;O. Edfors;M. Sandell;S.K. Wilson

  • OFDM channel estimation by singular value decomposition

    O. Edfors;M. Sandell;J.-J. van de Beek;S.K. Wilson

  • Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces

    Sha Hu;Fredrik Rusek;Ove Edfors

  • Is Orbital Angular Momentum (OAM) Based Radio Communication an Unexploited Area

    O. Edfors;A. J. Johansson

  • Massive MIMO Performance Evaluation Based on Measured Propagation Data

    Xiang Gao;Ove Edfors;Fredrik Rusek;Fredrik Tufvesson

  • An introduction to orthogonal frequency-division multiplexing

    Ove Edfors;Magnus Sandell;Jan-Jaap van de Beek;Daniel Landström

  • Analysis of DFT-Based Channel Estimators for OFDM

    Ove Edfors;Magnus Sandell;Jan-Jaap Van De Beek;Sarah Kate Wilson

  • Time and frequency synchronization for OFDM using PN-sequence preambles

    F. Tufvesson;O. Edfors;M. Faulkner

  • Linear Pre-Coding Performance in Measured Very-Large MIMO Channels

    Xiang Gao;Ove Edfors;Fredrik Rusek;Fredrik Tufvesson

  • A flexible 100-antenna testbed for Massive MIMO

    Joao Vieira;Steffen Malkowsky;Karl Nieman;Zachary Miers

  • Beyond Massive MIMO: The Potential of Positioning With Large Intelligent Surfaces

    Sha Hu;Fredrik Rusek;Ove Edfors

  • Massive MIMO in Real Propagation Environments: Do All Antennas Contribute Equally?

    Xiang Gao;Ove Edfors;Fredrik Tufvesson;Erik G. Larsson

  • Measured propagation characteristics for very-large MIMO at 2.6 GHz

    Xiang Gao;Fredrik Tufvesson;Ove Edfors;Fredrik Rusek

  • The World’s First Real-Time Testbed for Massive MIMO: Design, Implementation, and Validation

    Steffen Malkowsky;Joao Vieira;Liang Liu;Paul Harris

  • Massive MIMO channels — Measurements and models

    Xiang Gao;Fredrik Tufvesson;Ove Edfors

  • Approximative matrix inverse computations for very-large MIMO and applications to linear pre-coding systems

    Hemanth Prabhu;Joachim Rodrigues;Ove Edfors;Fredrik Rusek

  • A comparative study of pilot-based channel estimators for wireless OFDM

    Magnus Sandell;Ove Edfors

Frequent Co-Authors

Fredrik Rusek
Fredrik Rusek Lund University
Fredrik Tufvesson
Fredrik Tufvesson Lund University
Erik G. Larsson
Erik G. Larsson Linköping University
Simon Armour
Simon Armour University of Bristol
Emil Bjornson
Emil Bjornson Royal Institute of Technology
Mark A Beach
Mark A Beach University of Bristol
Andreas F. Molisch
Andreas F. Molisch University of Southern California
Jing Wang
Jing Wang Tsinghua University

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