10 citations · 35 across the 13 of their papers we have counts for
14 papers
Model-Free Robust Beamforming in Satellite Downlink using Reinforcement Learning
Alea Schröder, Steffen Gracla, Carsten Bockelmann +2
Satellite-based communications are expected to be a substantial future market in 6G networks. As satellite constellations grow denser and transmission resources remain limited, fre…
5G as Enabler for Industrie 4.0 Use Cases: Challenges and Concepts
M. Gundall, J. Schneider, H. D. Schotten +14
The increasing demand for highly customized products, as well as flexible production lines, can be seen as trigger for the "fourth industrial revolution", referred to as "Industrie…
Throughput Requirements for RAN Functional Splits in 3D-Networks
MohammadAmin Vakilifard, Tim Düe, Mohammad Rihan +4
The rapid growth of non-terrestrial communication necessitates its integration with existing terrestrial networks, as highlighted in 3GPP Releases 16 and 17. This paper analyses th…
Flexible Robust Beamforming for Multibeam Satellite Downlink using Reinforcement Learning
Alea Schröder, Steffen Gracla, Maik Röper +3
Low Earth Orbit (LEO) satellite-to-handheld connections herald a new era in satellite communications. Space-Division Multiple Access (SDMA) precoding is a method that mitigates int…
RAN Functional Split Options for Integrated Terrestrial and Non-Terrestrial 6G Networks
Mohamed Rihan, Tim Due, MohammadAmin Vakilifard +2
Leveraging non-terrestrial platforms in 6G networks holds immense significance as it opens up opportunities to expand network coverage, enhance connectivity, and support a wide ran…
Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications
Steffen Gracla, Alea Schröder, Maik Röper +3
Direct Low Earth Orbit satellite-to-handheld links are expected to be part of a new era in satellite communications. Space-Division Multiple Access precoding is a technique that re…
Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission
Maik Röper, Bho Matthiesen, Dirk Wübben +2
The uplink from a very small aperture terminal (VSAT) towards multiple satellites is considered, in this paper. VSATs can be equipped with multiple antennas, allowing parallel tran…
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…
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,…
Beamspace MIMO for Satellite Swarms
Maik Röper, Bho Matthiesen, Dirk Wübben +2
Systems of small distributed satellites in low Earth orbit (LEO) transmitting cooperatively to a multiple antenna ground station (GS) are investigated. These satellite swarms have…
LEO Small-Satellite Constellations for 5G and Beyond-5G Communications
Israel Leyva-Mayorga, Beatriz Soret, Maik Röper +4
The next frontier towards truly ubiquitous connectivity is the use of Low Earth Orbit (LEO) small-satellite constellations to support 5G and Beyond-5G (B5G) networks. Besides enhan…
Proceedings of Workshop AEW10: Concepts in Information Theory and Communications
Kees A. Schouhamer Immink, Stan Baggen, Ferdaous Chaabane +31
The 10th Asia-Europe workshop in "Concepts in Information Theory and Communications" AEW10 was held in Boppard, Germany on June 21-23, 2017. It is based on a longstanding cooperati…
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…