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07/17/2023
On-board Federated Learning for Satellite Clusters with Inter-Satellite Links
The emergence of mega-constellations of interconnected satellites has a ...
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05/05/2023
Model-free Reinforcement Learning of Semantic Communication by Stochastic Policy Gradient
Motivated by the recent success of Machine Learning tools in wireless co...
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04/25/2023
A Multi-Task Approach to Robust Deep Reinforcement Learning for Resource Allocation
With increasing complexity of modern communication systems, machine lear...
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04/21/2023
On the Importance of Exploration for Real Life Learned Algorithms
The quality of data driven learning algorithms scales significantly with...
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04/20/2023
Robust Deep Reinforcement Learning Scheduling via Weight Anchoring
Questions remain on the robustness of data-driven learning methods when ...
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04/19/2023
Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients
Advances in mobile communication capabilities open the door for closer i...
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03/13/2023
Learning Model-Free Robust Precoding for Cooperative Multibeam Satellite Communications
Direct Low Earth Orbit satellite-to-handheld links are expected to be pa...
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01/30/2023
Robust Precoding via Characteristic Functions for VSAT to Multi-Satellite Uplink Transmission
The uplink from a very small aperture terminal (VSAT) towards multiple s...
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01/24/2023
A Comparison between RSMA, SDMA, and OMA in Multibeam LEO Satellite Systems
Low Earth orbit (LEO) satellite systems enable close to global coverage ...
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06/01/2022
Federated Learning in Satellite Constellations
Distributed machine learning (DML) results from the synergy between mach...
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05/23/2022
Distributed Downlink Precoding and Equalization in Satellite Swarms
In this paper, we propose a novel approach for downlink transmission fro...
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04/28/2022
Semantic Communication: An Information Bottleneck View
Motivated by recent success of machine learning tools at the PHY layer a...
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04/01/2022
Globally Optimal Spectrum- and Energy-Efficient Beamforming for Rate Splitting Multiple Access
Rate splitting multiple access (RSMA) is a promising non-orthogonal tran...
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03/30/2022
NGSO Constellation Design for Global Connectivity
Non-geostationary orbit (NGSO) satellite constellations represent a corn...
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12/16/2021
Beamspace MIMO for Satellite Swarms
Systems of small distributed satellites in low Earth orbit (LEO) transmi...
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11/12/2021
Deep Reinforcement Model Selection for Communications Resource Allocation in On-Site Medical Care
Greater capabilities of mobile communications technology enable intercon...
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09/03/2021
Ground-Assisted Federated Learning in LEO Satellite Constellations
In Low Earth Orbit (LEO) mega constellations, there are relevant use cas...
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06/11/2021
Inter-Plane Inter-Satellite Connectivity in LEO Constellations: Beam Switching vs. Beam Steering
Low Earth orbit (LEO) satellite constellations rely on inter-satellite l...
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02/25/2021
ConCrete MAP: Learning a Probabilistic Relaxation of Discrete Variables for Soft Estimation with Low Complexity
Following the great success of Machine Learning (ML), especially Deep Ne...
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12/17/2019
LEO Small-Satellite Constellations for 5G and Beyond-5G Communications
The next frontier for 5G and post-5G networks towards truly ubiquitous c...
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04/05/2018
