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Electronics and Electrical Engineering

D-Index
40
Citations
7960
World Ranking
4440
National Ranking
72

Overview

Mats Bengtsson is affiliated with the Royal Institute of Technology in Sweden and has contributed extensively to the fields of engineering and computer science, focusing primarily on electrical and electronic engineering, aerospace engineering, and artificial intelligence. Their research interests include advanced wireless communication techniques, antenna design, and localization technologies.

The main topics of their work encompass:

  • Advanced MIMO Systems Optimization
  • PAPR reduction in OFDM
  • Advanced Wireless Communication Techniques
  • Advanced Wireless Communication Technologies
  • Indoor and Outdoor Localization Technologies
  • Antenna Design and Optimization
  • Direction-of-Arrival Estimation Techniques

They have published papers in prominent venues, most notably:

  • Matrix-Inverse-Free Deep Unfolding of the Weighted MMSE Beamforming Algorithm, 2021, IEEE Open Journal of the Communications Society
  • EVM Mitigation With PAPR and ACLR Constraints in Large-Scale MIMO-OFDM Using TOP-ADMM, 2022, IEEE Transactions on Wireless Communications
  • Efficient Optimization for Large-Scale MIMO-OFDM Spectral Precoding, 2021, IEEE Transactions on Wireless Communications
  • Deep unfolding of the weighted MMSE beamforming algorithm, 2020, arXiv (Cornell University)
  • Power Delay Profile investigation in Industrial Indoor Environments at the 24 GHz ISM band, 2022, 2022 IEEE International Conference on Industrial Technology (ICIT)

Frequent coauthors collaborating with Mats Bengtsson include:

  • Gábor Fodor
  • Carlo Fischione
  • Bo Göransson
  • Shashi Kant
  • Lissy Pellaco

Their work appears repeatedly in established publication venues such as:

  • IEEE Transactions on Wireless Communications
  • arXiv (Cornell University)
  • IEEE Open Journal of the Communications Society
  • 2022 IEEE International Conference on Industrial Technology (ICIT)
  • 2022 IEEE 33rd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

Mats Bengtsson's research spans multiple aspects of wireless communications, including optimization algorithms for MIMO and OFDM systems, spectral precoding techniques, and investigation of power delay profiles in industrial indoor environments. Their contributions also explore novel algorithms, such as deep unfolding approaches for beamforming optimization.

Their interdisciplinary background bridges engineering and computer science, reflecting a comprehensive focus on both theoretical and practical aspects of modern wireless systems and signal processing.

Best Publications

  • Convex Optimization-Based Beamforming

    Alex B Gershman;Nicholas D Sidiropoulos;Shahram Shahbazpanahi;Mats Bengtsson

  • Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes]

    Emil Bjornson;Mats Bengtsson;Bjorn Ottersten

  • Optimal Downlink Beamforming Using Semidefinite Optimization

    Mats Bengtsson;Björn Ottersten

  • Modeling of wide-band MIMO radio channels based on NLoS indoor measurements

    Kai Yu;M. Bengtsson;B. Ottersten;D. McNamara

  • Second order statistics of NLOS indoor MIMO channels based on 5.2 GHz measurements

    Kai Yu;M. Bengtsson;B. Ottersten;D. McNamara

  • Capacity Limits and Multiplexing Gains of MIMO Channels with Transceiver Impairments

    E. Bjornson;P. Zetterberg;M. Bengtsson;B. Ottersten

  • Low-Complexity Polynomial Channel Estimation in Large-Scale MIMO With Arbitrary Statistics

    Nafiseh Shariati;Emil Björnson;Mats Bengtsson;Mérouane Debbah

  • Low-complexity estimators for distributed sources

    M. Bengtsson;B. Ottersten

  • Distributed Multicell Beamforming With Limited Intercell Coordination

    Yongming Huang;Gan Zheng;M Bengtsson;Kai-Kit Wong

  • Robust Monotonic Optimization Framework for Multicell MISO Systems

    E. Björnson;Gan Zheng;M. Bengtsson;B. Ottersten

  • Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure

    Emil Björnson;Mats Bengtsson;Björn Ottersten

  • Optimality Properties, Distributed Strategies, and Measurement-Based Evaluation of Coordinated Multicell OFDMA Transmission

    E. Bjornson;N. Jalden;M. Bengtsson;B. Ottersten

  • Subspace Estimation and Decomposition for Large Millimeter-Wave MIMO Systems

    Hadi Ghauch;Taejoon Kim;Mats Bengtsson;Mikael Skoglund

  • A generalization of weighted subspace fitting to full-rank models

    M. Bengtsson;B. Ottersten

  • Acquiring Partial CSI for Spatially Selective Transmission by Instantaneous Channel Norm Feedback

    D. Hammarwall;M. Bengtsson;B. Ottersten

  • Optimum and Suboptimum Transmit Beamforming

    Mats Bengtsson;Björn Ottersten

  • Robust MIMO precoding for the schatten norm based channel uncertainty sets

    Jiaheng Wang;Mats Bengtsson;Bjorn Ottersten;Daniel P. Palomar

  • A pragmatic approach to multi-user spatial multiplexing

    M. Bengtsson

  • A wideband statistical model for NLOS indoor MIMO channels

    Kai Yu;M. Bengtsson;B. Ottersten;D. McNamara

  • System evaluation of optimal downlink beamforming with congestion control in wireless communication

    R. Stridh;M. Bengtsson;B. Ottersten

  • Optimal Downlink BeamformingUsing Semidefinite Optimization

    Mats Bengtsson;Björn Ottersten

Frequent Co-Authors

Bjorn Ottersten
Bjorn Ottersten University of Luxembourg
Emil Bjornson
Emil Bjornson Royal Institute of Technology
Mikael Skoglund
Mikael Skoglund Royal Institute of Technology
Mark A Beach
Mark A Beach University of Bristol
Gabor Fodor
Gabor Fodor Ericsson (Sweden)
Håkan Hjalmarsson
Håkan Hjalmarsson Royal Institute of Technology
Markku Juntti
Markku Juntti University of Oulu
Le-Nam Tran
Le-Nam Tran University College Dublin
Erik G. Larsson
Erik G. Larsson Linköping University
Luxi Yang
Luxi Yang Southeast University

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