The emergence of mega-constellations of interconnected satellites has a ...
Motivated by the recent success of Machine Learning tools in wireless
co...
With increasing complexity of modern communication systems, machine lear...
The quality of data driven learning algorithms scales significantly with...
Questions remain on the robustness of data-driven learning methods when
...
Advances in mobile communication capabilities open the door for closer
i...
Direct Low Earth Orbit satellite-to-handheld links are expected to be pa...
The uplink from a very small aperture terminal (VSAT) towards multiple
s...
Low Earth orbit (LEO) satellite systems enable close to global coverage ...
Distributed machine learning (DML) results from the synergy between mach...
In this paper, we propose a novel approach for downlink transmission fro...
Motivated by recent success of machine learning tools at the PHY layer a...
Rate splitting multiple access (RSMA) is a promising non-orthogonal
tran...
Non-geostationary orbit (NGSO) satellite constellations represent a
corn...
Systems of small distributed satellites in low Earth orbit (LEO) transmi...
Greater capabilities of mobile communications technology enable
intercon...
In Low Earth Orbit (LEO) mega constellations, there are relevant use cas...
Low Earth orbit (LEO) satellite constellations rely on inter-satellite l...
Following the great success of Machine Learning (ML), especially Deep Ne...
The next frontier for 5G and post-5G networks towards truly ubiquitous
c...
The fifth generation of cellular communication systems is foreseen to en...