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 …

[HTML][HTML] Reinforcement learning for electric vehicle applications in power systems: A critical review

D Qiu, Y Wang, W Hua, G Strbac - Renewable and Sustainable Energy …, 2023 - Elsevier
Electric vehicles (EVs) are playing an important role in power systems due to their significant
mobility and flexibility features. Nowadays, the increasing penetration of renewable energy …

A practical guide to multi-objective reinforcement learning and planning

CF Hayes, R Rădulescu, E Bargiacchi… - Autonomous Agents and …, 2022 - Springer
Real-world sequential decision-making tasks are generally complex, requiring trade-offs
between multiple, often conflicting, objectives. Despite this, the majority of research in …

Dynamic job-shop scheduling in smart manufacturing using deep reinforcement learning

L Wang, X Hu, Y Wang, S Xu, S Ma, K Yang, Z Liu… - Computer Networks, 2021 - Elsevier
Job-shop scheduling problem (JSP) is used to determine the processing order of the jobs
and is a typical scheduling problem in smart manufacturing. Considering the dynamics and …

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 hopping 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 …

Low earth orbit satellite security and reliability: Issues, solutions, and the road ahead

P Yue, J An, J Zhang, J Ye, G Pan… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
Low Earth Orbit (LEO) satellites undergo a period of rapid development driven by ever-
increasing user demands, reduced costs, and technological progress. Since there is a lack …

Joint beam scheduling and beamforming design for cooperative positioning in multi-beam LEO satellite networks

H Xv, Y Sun, Y Zhao, M Peng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Cooperative positioning with multiple low earth orbit (LEO) satellites is promising in
providing location-based services and enhancing satellite-terrestrial communication …

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

LEI Lei, E Lagunas, Y Yuan, MG Kibria… - IEEE …, 2020 - ieeexplore.ieee.org
Beam hopping (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 …

Multi-satellite beam hopping 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 …