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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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Proceedings ArticleDOI

Beamformer designs for zero-forcing dirty paper coding

TL;DR: It is proved that the QRD-based design is optimal for ZF-DPC for any performance measure under a sum power constraint, and an optimal design is proposed, using a convex optimization framework.
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Pilot Clustering in Asymmetric Massive MIMO Networks

TL;DR: In this article, the uplink of a cellular massive MIMO network is considered and the problem of finding efficient pilot reuse patterns is addressed using coalitional game theory, where each cell has its own unique pilots and can form coalitions with other cells to gain access to more pilots.
Proceedings ArticleDOI

A robust MISO training sequence design

TL;DR: It is shown that for a unitarily-invariant uncertainty set, the optimally robust training sequence shares its eigenvectors with the channel covariance matrix, and analytical closed-form solutions for robust training sequences are given if the spectral norm or nuclear norm are considered as constraints to bound the existing uncertainty.
Proceedings ArticleDOI

Low-Complexity OFDM Spectral Precoding

TL;DR: Numerical results show that the proposed LS-MSP techniques outperform previously proposed techniques in terms of the computational burden while complying with the spectrum mask and typically needs 3 iterations to achieve similar results at the expense of a slightly increased computational complexity.