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David Gesbert

Researcher at Institut Eurécom

Publications -  483
Citations -  26237

David Gesbert is an academic researcher from Institut Eurécom. The author has contributed to research in topics: MIMO & Channel state information. The author has an hindex of 63, co-authored 456 publications receiving 24569 citations. Previous affiliations of David Gesbert include Technische Universität München & Huawei.

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DoF Region of the Decentralized MIMO Broadcast Channel -- How many informed antennas do we need?

TL;DR: In this article, the impact of imperfect sharing of the CSI available at the transmitters on a network MIMO setting was investigated in which a set of $M$ transmit antennas, possibly not co-located, jointly serve two multi-antenna users endowed with $N 1 and $N 2 antennas, respectively.
Proceedings ArticleDOI

Asymptotic Capacity and Optimal Precoding Strategy of Multi-Level Precode & Forward in Correlated Channels

TL;DR: In this paper, a closed-form expression of the end-to-end asymptotic instantaneous mutual information is derived as the number of antennas in all levels grows large with the same rate.
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A Received Power Model for Reconfigurable Intelligent Surface and Measurement-based Validations

TL;DR: In this article, the authors proposed a radar cross section-based received power model for an RIS-aided wireless communication system that is rooted in the physical properties of RIS, where the received power is related to the distances from the transmitter/receiver to the RIS, the angles in the TX-RIS-RX triangle, the effective area of each element, and the reflection coefficient of each elements.
Journal ArticleDOI

User-Centric Federated Learning: Trading off Wireless Resources for Personalization

TL;DR: In this article , user-centric aggregation rules at the parameter server are designed based on readily available gradient information and are capable of producing personalized models for each FL client, inspired by an upper bound of the weighted aggregate empirical risk minimizer.
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The Asymptotic Limits of Interference in Multicell Networks with Channel Aware Scheduling

TL;DR: In this paper, the authors analyzed the convergence limits of interference after scheduling in a multi-cell setting and showed that scheduling alone can cause the residual interference to converge to zero for large number of users.