H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Engineering and Technology H-index 31 Citations 6,515 361 World Ranking 5839 National Ranking 214

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to signal processing algorithms for multi-antenna communications systems

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Computer network
  • Telecommunications

Wolfgang Utschick mostly deals with Algorithm, MIMO, Precoding, Control theory and Transmitter. Wolfgang Utschick has included themes like Minimum mean square error, Estimator, Zero-forcing precoding and Phase-shift keying in his Algorithm study. Wolfgang Utschick interconnects Iterative method, Mathematical optimization, Beamforming and Electrical engineering in the investigation of issues within MIMO.

His Precoding research is multidisciplinary, incorporating elements of Mean squared error and Data stream mining. His Control theory research integrates issues from Multiplexing, Transmitter power output, Cholesky decomposition and Topology. The concepts of his Transmitter study are interwoven with issues in Minification, Channel code, Signal processing, Channel state information and Channel capacity.

His most cited work include:

  • Linear transmit processing in MIMO communications systems (609 citations)
  • Minimum Mean Squared Error interference alignment (206 citations)
  • Transmit Wiener filter for the downlink of TDDDS-CDMA systems (188 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include MIMO, Algorithm, Communication channel, Mathematical optimization and Precoding. His MIMO research includes themes of Covariance matrix, Transmission, Covariance and Topology. His work deals with themes such as Minimum mean square error, Estimator and Mean squared error, which intersect with Algorithm.

His study in Communication channel is interdisciplinary in nature, drawing from both Transmitter, Electronic engineering, Telecommunications link and Relay channel. His Mathematical optimization research includes elements of Beamforming and Dirty paper coding. His Precoding research focuses on subjects like Control theory, which are linked to Equalization and Matched filter.

He most often published in these fields:

  • MIMO (30.35%)
  • Algorithm (29.04%)
  • Communication channel (28.82%)

What were the highlights of his more recent work (between 2016-2021)?

  • Communication channel (28.82%)
  • Algorithm (29.04%)
  • MIMO (30.35%)

In recent papers he was focusing on the following fields of study:

Wolfgang Utschick mainly investigates Communication channel, Algorithm, MIMO, Electronic engineering and Estimator. His Communication channel study incorporates themes from Noise, Telecommunications link, Base station and Topology. His Telecommunications link study combines topics in areas such as Channel state information and Convex optimization.

His Algorithm research incorporates themes from Artificial neural network, Sampling, Minimum mean square error and Mean squared error. His studies in MIMO integrate themes in fields like Wireless, Maximization, Control theory, Covariance and Underlay. His research integrates issues of Transmitter, Extremely high frequency and Precoding in his study of Electronic engineering.

Between 2016 and 2021, his most popular works were:

  • Learning the MMSE Channel Estimator (82 citations)
  • Covariance Matrix Estimation in Massive MIMO (24 citations)
  • A Bilinear Equalizer for Massive MIMO Systems (17 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Computer network
  • Telecommunications

Wolfgang Utschick spends much of his time researching Communication channel, Electronic engineering, MIMO, Algorithm and Artificial intelligence. His Communication channel study integrates concerns from other disciplines, such as Telecommunications link, Gaussian noise, Base station and Communications system. The study incorporates disciplines such as Transmitter, Mimo systems and Precoding in addition to Electronic engineering.

His study in the fields of Zero-forcing precoding under the domain of Precoding overlaps with other disciplines such as C-RAN. The MIMO study combines topics in areas such as Signal-to-noise ratio, Underlay, Matched filter and Equalizer. His study of Covariance matrix is a part of Algorithm.

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.

Top Publications

Linear transmit processing in MIMO communications systems

M. Joham;W. Utschick;J.A. Nossek.
IEEE Transactions on Signal Processing (2005)

828 Citations

Minimum Mean Squared Error interference alignment

David A. Schmidt;Changxin Shi;Randall A. Berry;Michael L. Honig.
asilomar conference on signals, systems and computers (2009)

269 Citations

Transmit Wiener filter for the downlink of TDDDS-CDMA systems

M. Joham;K. Kusume;M.H. Gzara;W. Utschick.
international symposium on spread spectrum techniques and applications (2002)

261 Citations

Fading correlations in wireless MIMO communication systems

M.T. Ivrlac;W. Utschick;J.A. Nossek.
IEEE Journal on Selected Areas in Communications (2003)

234 Citations

IDMA vs. CDMA: Analysis and Comparison of Two Multiple Access Schemes

K. Kusume;G. Bauch;W. Utschick.
IEEE Transactions on Wireless Communications (2012)

163 Citations

Distributed resource allocation schemes

D. Schmidt;C. Shi;R. Berry;M. Honig.
IEEE Signal Processing Magazine (2009)

158 Citations

Distributed Interference Pricing for the MIMO Interference Channel

C. Shi;D. A. Schmidt;R. A. Berry;M. L. Honig.
international conference on communications (2009)

128 Citations

On the MSE-Duality of the Broadcast Channel and the Multiple Access Channel

R. Hunger;M. Joham;W. Utschick.
IEEE Transactions on Signal Processing (2009)

121 Citations

Antennas: state of the art

H. Boche;A. Bourdoux;J.R. Fonollosa;T. Kaiser.
IEEE Vehicular Technology Magazine (2006)

120 Citations

Learning the MMSE Channel Estimator

David Neumann;Thomas Wiese;Wolfgang Utschick.
IEEE Transactions on Signal Processing (2018)

118 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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