784 citations · 1.2k across the 33 of their papers we have counts for
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On-board Federated Learning for Satellite Clusters with Inter-Satellite Links
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
The emergence of mega-constellations of interconnected satellites has a major impact on the integration of cellular wireless and non-terrestrial networks, while simultaneously offe…
A Comparison between RSMA, SDMA, and OMA in Multibeam LEO Satellite Systems
Alea Schröder, Maik Röper, Dirk Wübben +3
Low Earth orbit (LEO) satellite systems enable close to global coverage and are therefore expected to become important pillars of future communication standards. However, a particu…
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…
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…
Towards Massive Connectivity Support for Scalable mMTC Communications in 5G networks
Carsten Bockelmann, Nuno K. Pratas, Gerhard Wunder +16
The fifth generation of cellular communication systems is foreseen to enable a multitude of new applications and use cases with very different requirements. A new 5G multiservice a…
Massive Machine-type Communications in 5G: Physical and MAC-layer solutions
Carsten Bockelmann, Nuno Pratas, Hosein Nikopour +5
Machine-type communications (MTC) are expected to play an essential role within future 5G systems. In the FP7 project METIS, MTC has been further classified into "massive Machine-T…
Hardware-In-the-Loop Measurements of the Multi-Carrier Compressed Sensing Multi-User Detection (MCSM) System
Carsten Bockelmann, Fabian Monsees, Matthias Woltering +1
MCSM is a recently proposed novel system concept to solve the massive access problem envisioned in future communication systems like 5G and industry 4.0 systems. This work focuses…
Characterization of Coded Random Access with Compressive Sensing based Multi-User Detection
Yalei Ji, Cedomir Stefanovic, Carsten Bockelmann +2
The emergence of Machine-to-Machine (M2M) communication requires new Medium Access Control (MAC) schemes and physical (PHY) layer concepts to support a massive number of access req…
Compressed Sensing Bayes Risk Minimization for Under-determined Systems via Sphere Detection
Fabian Monsees, Carsten Bockelmann, Dirk Wübben +1
The application of Compresses Sensing is a promising physical layer technology for the joint activity and data detection of signals. Detecting the activity pattern correctly has se…