Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Dekorsy, Armin"'
Federated learning in satellite constellations, where the satellites collaboratively train a machine learning model, is a promising technology towards enabling globally connected intelligence and the integration of space networks into terrestrial mob
Externí odkaz:
http://arxiv.org/abs/2409.14832
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 responsible for forwarding other client's results to the parameter ser
Externí odkaz:
http://arxiv.org/abs/2407.18200
Autor:
Vakilifard, MohammadAmin, Düe, Tim, Rihan, Mohammad, Röper, Maik, Wübben, Dirk, Bockelmann, Carsten, Dekorsy, Armin
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 the concept of functional splits in 3D-Networks. To manage this complex
Externí odkaz:
http://arxiv.org/abs/2405.15432
This paper presents an approach for instantaneous bandwidth estimation from level-crossing samples using a long short-term memory (LSTM) encoder-decoder architecture. Level-crossing sampling is a nonuniform sampling technique that is particularly use
Externí odkaz:
http://arxiv.org/abs/2405.08632
In this paper, we investigated semantic communication for multi-task processing using an information-theoretic approach. We introduced the concept of a "semantic source", allowing multiple semantic interpretations from a single observation. We formul
Externí odkaz:
http://arxiv.org/abs/2404.08483
Autor:
Schröder, Alea, Gracla, Steffen, Röper, Maik, Wübben, Dirk, Bockelmann, Carsten, Dekorsy, Armin
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 interference among satellite beams, boosting spectral efficiency. While o
Externí odkaz:
http://arxiv.org/abs/2402.16563
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 satellites to train a machine learning (ML) model collaboratively without
Externí odkaz:
http://arxiv.org/abs/2402.09105
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 range of innovative applications, including global-scale Internet of Thin
Externí odkaz:
http://arxiv.org/abs/2310.17317
Publikováno v:
IEEE Transactions on Communications ( Volume: 72, Issue: 6, June 2024)
The emergence of mega-constellations of interconnected satellites has a major impact on the integration of cellular wireless and non-terrestrial networks, while simultaneously offering previously inconceivable data gathering capabilities. This paper
Externí odkaz:
http://arxiv.org/abs/2307.08346
Following the recent success of Machine Learning tools in wireless communications, the idea of semantic communication by Weaver from 1949 has gained attention. It breaks with Shannon's classic design paradigm by aiming to transmit the meaning, i.e.,
Externí odkaz:
http://arxiv.org/abs/2305.03571