522 citations · 1.2k across the 34 of their papers we have counts for
36 papers
Semantic-Aware Task Clustering for Constructive and Cooperative Multi-Tasking
Ahmad Halimi Razlighi, Maximilian H. V. Tillmann, Edgar Beck +2
Cooperative multi-task semantic communication (CMT-SemCom) improves task execution performance by leveraging shared representations. However, as we demonstrated in [1], cooperative…
Dynamic FDD for Spectrum Sharing in Non-Terrestrial Networks
Sourav Mukherjee, Bho Matthiesen, Armin Dekorsy +1
Future 6G networks are envisioned to integrate low Earth orbit satellite mega-constellations to enable seamless global connectivity, particularly in underserved and remote areas. H…
Semantic-Aware Task Clustering for Federated Cooperative Multi-Task Semantic Communication
Ahmad Halimi Razlighi, Pallavi Dhingra, Edgar Beck +2
Task-oriented semantic communication (SemCom) prioritizes task execution over accurate symbol reconstruction and is well-suited to emerging intelligent applications. Cooperative mu…
Dynamic Downlink-Uplink Spectrum Sharing between Terrestrial and Non-Terrestrial Networks
Sourav Mukherjee, Bho Matthiesen, Armin Dekorsy +1
6G networks are expected to integrate low Earth orbit satellites to ensure global connectivity by extending coverage to underserved and remote regions. However, the deployment of d…
Resilient Radio Access Networks: AI and the Unknown Unknowns
Bho Matthiesen, Armin Dekorsy, Petar Popovski
5G networks offer exceptional reliability and availability, ensuring consistent performance and user satisfaction. Yet they might still fail when confronted with the unexpected. A…
6G Resilience -- White Paper
Hirley Alves, Nurul H. Mahmood, Onel L. A. López +36
6G must be designed to withstand, adapt to, and evolve amid prolonged, complex disruptions. Mobile networks' shift from efficiency-first to sustainability-aware has motivated this…
Sparse Incremental Aggregation in Satellite Federated Learning
Nasrin Razmi, Sourav Mukherjee, Bho Matthiesen +2
This paper studies Federated Learning (FL) in low Earth orbit (LEO) satellite constellations, where satellites are connected via intra-orbit inter-satellite links (ISLs) to their n…
Energy-Aware Federated Learning in Satellite Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Federated learning in satellite constellations, where the satellites collaboratively train a machine learning model, is a promising technology towards enabling globally connected i…
Sparse Incremental Aggregation in Multi-Hop Federated Learning
Sourav Mukherjee, Nasrin Razmi, Armin Dekorsy +2
This paper investigates federated learning (FL) in a multi-hop communication setup, such as in constellations with inter-satellite links. In this setup, part of the FL clients are…
Scheduling for On-Board Federated Learning with Satellite Clusters
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Mega-constellations of small satellites have evolved into a source of massive amount of valuable data. To manage this data efficiently, on-board federated learning (FL) enables sat…
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…
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…
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,…
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…
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…
On-Board Federated Learning for Dense LEO Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
Mega-constellations of small-size Low Earth Orbit (LEO) satellites are currently planned and deployed by various private and public entities. While global connectivity is the main…
Ground-Assisted Federated Learning in LEO Satellite Constellations
Nasrin Razmi, Bho Matthiesen, Armin Dekorsy +1
In Low Earth Orbit (LEO) mega constellations, there are relevant use cases, such as inference based on satellite imaging, in which a large number of satellites collaboratively trai…
Inter-Plane Inter-Satellite Connectivity in LEO Constellations: Beam Switching vs. Beam Steering
Israel Leyva-Mayorga, Maik Röper, Bho Matthiesen +3
Low Earth orbit (LEO) satellite constellations rely on inter-satellite links (ISLs) to provide global connectivity. However, one significant challenge is to establish and maintain…
Hierarchical Resource Allocation: Balancing Throughput and Energy Efficiency in Wireless Systems
Bho Matthiesen, Eduard A. Jorswieck, Petar Popovski
A main challenge of 5G and beyond wireless systems is to efficiently utilize the available spectrum and simultaneously reduce the energy consumption. From the radio resource alloca…
Globally Optimal Beamforming for Rate Splitting Multiple Access
Bho Matthiesen, Yijie Mao, Petar Popovski +1
We consider globally optimal precoder design for rate splitting multiple access in Gaussian multiple-input single-output downlink channels with respect to weighted sum rate and ene…