A review on machine learning and deep learning for various antenna design applications
The next generation of wireless communication networks will rely heavily on machine
learning and deep learning. In comparison to traditional ground-based systems, the …
learning and deep learning. In comparison to traditional ground-based systems, the …
Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
Dynamic beam pattern and bandwidth allocation based on multi-agent deep reinforcement learning for beam hopping satellite systems
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 …
ground traffic request, how to make full use of the limited beam resources to serve users …
Multi-satellite beam hopping based on load balancing and interference avoidance for NGSO satellite communication systems
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 …
geostationary orbit (NGSO) satellites, how to make full use of the limited beam resources to …
Radio resource management techniques for multibeam satellite systems
Next–generation of satellite communication (SatCom) networks are expected to support
extremely high data rates for a seamless integration into future large satellite-terrestrial …
extremely high data rates for a seamless integration into future large satellite-terrestrial …
Artificial intelligence for satellite communication and non-terrestrial networks: A survey
This paper surveys the application and development of Artificial Intelligence (AI) in Satellite
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Communication (SatCom) and Non-Terrestrial Networks (NTN). We first present a …
Optimization method of dynamic beam position for LEO beam-hopping satellite communication systems
J Tang, D Bian, G Li, J Hu, J Cheng - IEEE Access, 2021 - ieeexplore.ieee.org
The beam-hopping (BH) technology applied to low earth orbit (LEO) satellite communication
networks is a superior choice, but the long transmission delay partly caused by data packets …
networks is a superior choice, but the long transmission delay partly caused by data packets …
Traffic simulator for multibeam satellite communication systems
H Al-Hraishawi, E Lagunas… - 2020 10th Advanced …, 2020 - ieeexplore.ieee.org
Assume that a multibeam satellite communication system is designed from scratch to serve a
particular area with maximal resource utilization and to satisfactorily accommodate the …
particular area with maximal resource utilization and to satisfactorily accommodate the …
Machine Learning and Deep Learning powered satellite communications: Enabling technologies, applications, open challenges, and future research directions
A Bhattacharyya, SM Nambiar, R Ojha… - … Journal of Satellite …, 2023 - Wiley Online Library
The recent wave of creating an interconnected world through satellites has renewed interest
in satellite communications. Private and government‐funded space agencies are making …
in satellite communications. Private and government‐funded space agencies are making …
Scheduling design and performance analysis of carrier aggregation in satellite communication systems
Carrier Aggregation is one of the vital approaches to achieve several orders of magnitude
increase in peak data rates. While carrier aggregation benefits have been extensively …
increase in peak data rates. While carrier aggregation benefits have been extensively …