Aug 2026· International Conference on Modelling, Identification and Control· pp. 162-165· 0 citations· 11 references
Abstract
Low Earth orbit (LEO) satellite networks require adaptive routing because satellite mobility, inter-satellite link availability, and traffic congestion change over time. This paper proposes a double deep Q-Network-based traffic-aware routing method for dynamic LEO satellite networks. The routing agent selects the next-hop satellite by considering neighboring satellite traffic loads, link quality, and destination information. The routing problem is formulated as a Markov decision process, where the reward penalizes hop usage, congestion, and low-quality links while encouraging successful packet delivery. The proposed formulation provides a learning-based routing framework that can avoid congested satellites using local traffic and link-state observations.
Nowadays, the fast development of large-scale low Earth orbit (LEO) satellite networks has been pushing for highly-efficient routing schemes that can realize quality-of-service (QoS) aware routing adaptively. However, the dynamic nature of LEO satellite networks and the capacity mismatch between their inter-satellite l...
Yong-Lin Huang, Ping Du, Xi-Xuan Zhou et al.· IEEE Transactions on Network...· 0 citations
Very low Earth orbit (VLEO) satellite constellations are a promising platform for uplink-dominated narrowband internet of things (NB-IoT) services. However, rapid topology variations and short satellite-gateway and satellite-user contact durations introduce significant routing challenges. This paper proposes a predicti...
Teweldebrhan Mezgebo Kebedew, Dinh-Hieu Tran, T. Vu et al.· IEEE International Symposium...· 0 citations
Large low Earth orbit (LEO) satellite constellations rely on inter-satellite links and distributed ground gateways to deliver broadband services at scale. Designing routing and gateway selection strategies that balance throughput, latency, and user-centric fairness remains challenging due to the size and dynamic connec...
F. H. Ferreira, Arun Narayanan, Jasmine P. L. Araújo et al.· IEEE International Conferenc...· 0 citations
The dynamic topology and heterogeneous traffic demands of multi-satellite systems present substantial challenges for beam-hopping (BH) resource management. This letter develops a topology-aware cooperative BH framework for multi-satellite systems under partial observability. A lightweight load-balancing scheme first de...
Shuang Zheng, Xing Zhang, Quan Z. Sheng et al.· IEEE Wireless Communications...· 0 citations
Results show that Steiner‐based multicast reduces ISL utilization and risk of bottlenecks, and demand‐aware allocation maximizes service availability and improves throughput by up to 700% compared to a proportional fair benchmark through flexible resource allocation.
Federico Lozano-Cuadra, Israel Leyva-Mayorga, Jimmy Jessen Nielsen et al.· International Journal of Sat...· 0 citations
Low Earth Orbit (LEO) satellite networks are envisioned to provide wide-area connectivity for a massive number of user terminals. Realizing this vision requires efficient resource allocation, including user grouping, beamforming (BF) and power control, that adapts to the uneven spatio-temporal distribution of user loca...
Xiao-Yu Liu, Min Lin, Rui Guan et al.· IEEE Transactions on Wireles...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
