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Matti Latva-aho

Researcher at University of Oulu

Publications -  548
Citations -  11405

Matti Latva-aho is an academic researcher from University of Oulu. The author has contributed to research in topics: Fading & MIMO. The author has an hindex of 52, co-authored 519 publications receiving 9973 citations. Previous affiliations of Matti Latva-aho include Lappeenranta University of Technology & University of Miami.

Papers
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Proceedings ArticleDOI

Minimum power routing with limited feedback in multi-hop networks

TL;DR: A 2-way assignment routing method to minimize the entire system power consumption in multi-hop relaying networks using an efficient feedback scheme and a proof by mathematical induction for the optimality of the presented routing with new feedback scheme is given.
Posted Content

Distributed UAV-enabled zero-forcing cooperative jamming scheme for safeguarding future wireless networks.

TL;DR: In this paper, the authors investigate the impact of two UAV-based jammers on the secrecy performance of a ground wireless network in the presence of an eavesdropper and propose a hybrid metric, the so-called Weighted Secrecy Coverage (WSC) and a virtual distributed multiple-input-multiple-output (MIMO)-based zero-forcing precoding scheme to avoid the jamming effects on the legitimate receiver.
Journal ArticleDOI

Reconfigurable Intelligent Surfaces: The New Frontier of Next G Security

TL;DR: In this paper , a RIS-assisted attack that reuses the legitimate signal towards a malicious objective is introduced. But, the RIS technology also opens up the possibility of new security threats, since the reflection of impinging signals can be used for malicious purposes.
Proceedings ArticleDOI

Optimal MaxWeight scheduling in a multihop wireless network via branch and bound

TL;DR: A solution method is proposed, based on the branch and bound technique, which solves globally the MaxWeight scheduling problem with an optimality certificate, and efficient analytic bounding techniques are introduced as well.
Posted Content

Cell-Free Massive MIMO with Radio Stripes for Indoor Wireless Energy Transfer.

TL;DR: In this paper, the authors proposed an analytical framework to assess and control the electromagnetic field (EMF) radiation exposure in the considered indoor scenario, and showed that additional boosting performance strategies are needed to increase the overall system efficiency, thus making the technology viable in practice.