784 citations · 1.2k across the 33 of their papers we have counts for
6 papers · 1 filter
Scheduling for Ground-Assisted Federated Learning in LEO Satellite Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Distributed training of machine learning models directly on satellites in low Earth orbit (LEO) is considered. Based on a federated learning (FL) algorithm specifically targeted at…
Federated Learning in Satellite Constellations
Bho Matthiesen, Nasrin Razmi, Israel Leyva-Mayorga +2
Federated learning (FL) has recently emerged as a distributed machine learning paradigm for systems with limited and intermittent connectivity. This paper presents the new context…
Distributed Downlink Precoding and Equalization in Satellite Swarms
Maik Röper, Bho Matthiesen, Dirk Wübben +2
In this paper, we propose a novel approach for downlink transmission from a satellite swarm towards a ground station (GS). These swarms have the benefit of much higher spatial sepa…
NGSO Constellation Design for Global Connectivity
Israel Leyva-Mayorga, Beatriz Soret, Bho Matthiesen +4
Non-geostationary orbit (NGSO) satellite constellations represent a cornerstone in the NewSpace paradigm and thus have become one of the hottest topics for the industry, academia,…
Semantic Information Recovery in Wireless Networks
Edgar Beck, Carsten Bockelmann, Armin Dekorsy
Motivated by the recent success of Machine Learning (ML) tools in wireless communications, the idea of semantic communication by Weaver from 1949 has gained attention. It breaks wi…
Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access
Bho Matthiesen, Yijie Mao, Armin Dekorsy +2
Rate splitting multiple access (RSMA) is a promising non-orthogonal transmission strategy for next-generation wireless networks. It has been shown to outperform existing multiple a…