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Mats Bengtsson

Researcher at Royal Institute of Technology

Publications -  268
Citations -  7786

Mats Bengtsson is an academic researcher from Royal Institute of Technology. The author has contributed to research in topics: MIMO & Precoding. The author has an hindex of 42, co-authored 259 publications receiving 7096 citations. Previous affiliations of Mats Bengtsson include Linköping University & University of Oulu.

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Convex Optimization-Based Beamforming

TL;DR: It is demonstrated that convex optimization provides an indispensable set of tools for beamforming, enabling rigorous formulation and effective solution of both long-standing and emerging design problems.
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Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes]

TL;DR: In this paper, the authors propose to design beamforming vectors (that describe the amplitudes and phases) to have large inner products with the vectors describing the intended channels and small inner products for non-intended user channels.
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Ketamine reduces muscle pain, temporal summation, and referred pain in fibromyalgia patients

TL;DR: The present study showed that mechanisms involved in referred pain, temporal summation, muscular hyperalgesia, and muscle pain at rest were attenuated by the NMDA‐antagonist in FMS patients, and suggested a link between central hyperexcitability and the mechanisms for facilitated referred pain and temporal summary in a sub‐group of the fibromyalgia syndrome patients.
Journal Article

Hyperexcitability in fibromyalgia

TL;DR: There is a state of central hyperexcitability in the nociceptive system in FM that can be revealed by excitation of intramuscular nocICEptors in a muscle with no spontaneous pain.
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Modeling of wide-band MIMO radio channels based on NLoS indoor measurements

TL;DR: A previously proposed Kronecker-structure-based narrow-band model for nonline-of-sight (NLoS) indoor multiple-input-multiple-output (MIMO) radio channels based on 5.2-GHz indoor MIMO channel measurements is verified and it is shown that the MIMo channel covariance matrix can be well approximated by the Kr onecker product of the covariance matrices.