M
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.
Papers
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Journal ArticleDOI
A general framework for joint estimation-detection of channel, nonlinearity parameters and symbols for OFDM in IoT-based 5G networks
Ehsan Olfat,Mats Bengtsson +1 more
TL;DR: This work studies the problem of joint maximum-likelihood estimation-detection of channel and nonlinearity parameters and symbols using frequency-domain comb-type pilots in multi-path fading OFDM systems, and proposes an iterative optimization algorithm to solve it.
Proceedings ArticleDOI
Distributed diffusion LMS based energy detection
TL;DR: In this paper an Adapt and Combine (ATC) diffusion based power estimation scheme is proposed and the performance is compared with the Combine and Adapt (CTA) and ring-around schemes in a common framework.
Proceedings ArticleDOI
Subspace estimation and hybrid precoding for wideband millimeter-wave MIMO systems
TL;DR: This work proposes a low-overhead channel subspace estimation technique for the wideband hybrid analog-digital MIMO precoding systems and shows that considerable improvement in data-rate performance is possible.
Proceedings ArticleDOI
A Learning Approach for Optimal Codebook Selection in Spatial Modulation Systems
TL;DR: It is shown that the predicted SER can be used to lower the average SER over Rayleigh fading channels by selecting the optimal codebook in each transmission instance by exploiting that feedforward artificial neural networks trained with a mean squared error criterion estimate the conditional a posteriori probabilities.
CELTIC CP5-026 WINNER+, D1.4 Initial Report on Advanced Multiple Antenna Systems
Mats Bengtsson,Bhavani Shankar,Emil Björnson,Federico Boccardi,Mauro Boldi,Valeria D'Amico,Albrecht Fehske,Martin Fuchs,Eric Hardouin,Petri Komulainen,Bruno Melis,Magnus Olsson,Agisilaos Papadogiannis,Harri Pennanen,Peter Rost,Ahmed Saadani,Malte Schellmann,Tommy Svensson,Lars Thiele,Antti Tolli,Thorsten Wild +20 more
TL;DR: This deliverable captures the first set of best innovative concepts identified in the field of Advanced Multiple Antenna Systems for potential inclusion into the WINNER+ system concept, where multiple network nodes cooperate to enhance system performance.