5 papers
Learning to Compress and Transmit: Adaptive Rate Control for Semantic Communications over LEO Satellite-to-Ground Links
Jiangtao Luo, Yongyi Ran, Guoliang Xu +1
The bottleneck of satellite-to-ground links poses a major challenge for the timely downlink of massive on-board imagery. This paper studies adaptive image transmission over LEO sat…
Joint Semantic Coding and Routing for Multi-Hop Semantic Transmission in LEO Satellite Networks
Hong Zeng, Jiangtao Luo, Yongyi Ran
Low Earth Orbit satellite networks pose significant challenges to multi-hop semantic transmission because rapidly changing topology, link variability, and queue dynamics make end-t…
Traffic-Aware Domain Partitioning and Load-Balanced Inter-Domain Routing for LEO Satellite Networks
Chen Zhou, Jiangtao Luo, Yongyi Ran
Low Earth Orbit (LEO) satellite networks provide global coverage and low latency, yet high node mobility, uneven traffic distribution, and stochastic link failures pose severe chal…
iSatCR: Graph-Empowered Joint Onboard Computing and Routing for LEO Data Delivery
Jiangtao Luo, Bingbing Xu, Shaohua Xia +1
Sending massive Earth observation data produced by low Earth orbit (LEO) satellites back to the ground for processing consumes a large amount of on-orbit bandwidth and exacerbates…
Demand-Aware Beam Hopping and Power Allocation for Load Balancing in Digital Twin empowered LEO Satellite Networks
Ruili Zhao, Jun Cai, Jiangtao Luo +2
Low-Earth orbit (LEO) satellites utilizing beam hopping (BH) technology offer extensive coverage, low latency, high bandwidth, and significant flexibility. However, the uneven geog…