2011 - IEEE Fellow For contributions to multi-antenna and multi-user communication theory and their applications
His scientific interests lie mostly in Communication channel, MIMO, Computer network, Transmitter and Wireless. David Gesbert works on Communication channel which deals in particular with Fading. The study incorporates disciplines such as Multiplexing and Beamforming in addition to MIMO.
His Scheduling, Base station and Telecommunications link study, which is part of a larger body of work in Computer network, is frequently linked to Broadband networks, bridging the gap between disciplines. His Transmitter research is multidisciplinary, incorporating elements of Channel state information, Channel capacity and Topology. His research integrates issues of Time division multiple access, Communications system, Orthogonal frequency-division multiplexing and Link adaptation in his study of Wireless.
David Gesbert spends much of his time researching Communication channel, MIMO, Channel state information, Computer network and Precoding. The various areas that David Gesbert examines in his Communication channel study include Wireless, Electronic engineering, Beamforming, Transmitter and Topology. His studies deal with areas such as Algorithm, Telecommunications link and Control theory as well as MIMO.
His Channel state information research includes elements of Quantization, Interference alignment, Mathematical optimization, Multiplexing and Backhaul. Throughput is closely connected to Wireless network in his research, which is encompassed under the umbrella topic of Computer network. His Base station study combines topics from a wide range of disciplines, such as Cellular network and Spectral efficiency.
David Gesbert mostly deals with Communication channel, Base station, Channel state information, MIMO and Real-time computing. His Communication channel research includes themes of Transmitter, Transmission and Distributed computing. His Base station study is concerned with Computer network in general.
His work investigates the relationship between Computer network and topics such as Fading that intersect with problems in Network topology. The study incorporates disciplines such as Backhaul, Mathematical optimization and Topology in addition to Channel state information. He combines subjects such as Algorithm, Overhead, Telecommunications link and Antenna with his study of MIMO.
David Gesbert mainly focuses on Base station, Communication channel, Real-time computing, MIMO and Wireless network. His Base station study also includes fields such as
His Channel state information study incorporates themes from Mathematical optimization and Precoding. His MIMO research is multidisciplinary, incorporating perspectives in Algorithm and Telecommunications link. His Wireless network study is related to the wider topic of Wireless.
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.
From theory to practice: an overview of MIMO space-time coded wireless systems
D. Gesbert;M. Shafi;Da-shan Shiu;P.J. Smith.
IEEE Journal on Selected Areas in Communications (2003)
Multi-Cell MIMO Cooperative Networks: A New Look at Interference
D Gesbert;S Hanly;H Huang;S Shamai Shitz.
IEEE Journal on Selected Areas in Communications (2010)
An overview of limited feedback in wireless communication systems
D.J. Love;R.W. Heath;V.K.N. Lau;D. Gesbert.
IEEE Journal on Selected Areas in Communications (2008)
Shifting the MIMO Paradigm
D. Gesbert;M. Kountouris;R.W. Heath;Chan-Byoung Chae.
IEEE Signal Processing Magazine (2007)
On the capacity of OFDM-based spatial multiplexing systems
H. Bolcskei;D. Gesbert;A.J. Paulraj.
IEEE Transactions on Communications (2002)
A Coordinated Approach to Channel Estimation in Large-Scale Multiple-Antenna Systems
Haifan Yin;D. Gesbert;M. Filippou;Yingzhuang Liu.
IEEE Journal on Selected Areas in Communications (2013)
Outdoor MIMO wireless channels: models and performance prediction
D. Gesbert;H. Bolcskei;D.A. Gore;A.J. Paulraj.
IEEE Transactions on Communications (2002)
Adaptive modulation and MIMO coding for broadband wireless data networks
S. Catreux;V. Erceg;D. Gesbert;R.W. Heath.
IEEE Communications Magazine (2002)
How much feedback is multi-user diversity really worth?
D. Gesbert;M.-S. Alouini.
international conference on communications (2004)
Complex-Valued Matrix Differentiation: Techniques and Key Results
A. Hjorungnes;D. Gesbert.
IEEE Transactions on Signal Processing (2007)
Profile was last updated on December 6th, 2021.
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