Satellite communications in the new space era: A survey and future challenges

O Kodheli, E Lagunas, N Maturo… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Satellite communications (SatComs) have recently entered a period of renewed interest
motivated by technological advances and nurtured through private investment and ventures …

Evolution of non-terrestrial networks from 5G to 6G: A survey

MM Azari, S Solanki, S Chatzinotas… - … surveys & tutorials, 2022 - ieeexplore.ieee.org
Non-terrestrial networks (NTNs) traditionally have certain limited applications. However, the
recent technological advancements and manufacturing cost reduction opened up myriad …

Artificial intelligence for satellite communication: A review

F Fourati, MS Alouini - Intelligent and Converged Networks, 2021 - ieeexplore.ieee.org
Satellite communication offers the prospect of service continuity over uncovered and under-
covered areas, service ubiquity, and service scalability. However, several challenges must …

Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hop** satellite systems

Z Lin, Z Ni, L Kuang, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the non-uniform geographic distribution and time-varying characteristics of the
ground traffic request, how to make full use of the limited beam resources to serve users …

Flexible resource optimization for GEO multibeam satellite communication system

TS Abdu, S Kisseleff, E Lagunas… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Conventional GEO satellite communication systems rely on a multibeam foot-print with a
uniform resource allocation to provide connectivity to users. However, applying uniform …

A review on machine learning and deep learning for various antenna design applications

MM Khan, S Hossain, P Mozumdar, S Akter… - Heliyon, 2022 - cell.com
The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …

Dynamic beam hop** method based on multi-objective deep reinforcement learning for next generation satellite broadband systems

X Hu, Y Zhang, X Liao, Z Liu, W Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
When regarding the inherent uncertainty of differentiated services requirements as well as
the non-uniform spatial distribution of capacity requests, it is essential to flexibility adjust …

Radio resource management optimization of flexible satellite payloads for DVB-S2 systems

G Cocco, T De Cola, M Angelone… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The increasing demand for high-rate broadcast and multicast services over satellite
networks has pushed for the development of high throughput satellites characterized by a …

Multi-satellite beam hop** based on load balancing and interference avoidance for NGSO satellite communication systems

Z Lin, Z Ni, L Kuang, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the non-uniform distribution of the ground traffic demand and the high mobility of non-
geostationary orbit (NGSO) satellites, how to make full use of the limited beam resources to …

Beam illumination pattern design in satellite networks: Learning and optimization for efficient beam hop**

LEI Lei, E Lagunas, Y Yuan, MG Kibria… - IEEE …, 2020 - ieeexplore.ieee.org
Beam hop** (BH) is considered to provide a high level of flexibility to manage irregular
and time-varying traffic requests in future multi-beam satellite systems. In BH optimization …