A low-Earth-orbit satellite has only minutes to downlink imagery on a limited power budget, and some moments in a pass carry far better channels than others. Spending more power on the good moments and skipping hopeless ones should deliver more images, but the channel cannot be measured in time, so the schedule is planned in advance from weather statistics using a safety margin. That margin is sized so the forecast is statistically reliable, and the scheduler is judged by whether it beats uniform power on average. Both targets are wrong for a satellite that gets one attempt per pass: on real Sentinel-2 imagery, a scheduler gaining one to two images per pass on average still delivers fewer than uniform power on a quarter to a third of individual passes, and a genie knowing the weather exactly does no better. We instead size the margin by measuring, on recorded passes, how often it would have backfired, keeping only settings that provably backfire rarely. The procedure declines to schedule our learned codec and certifies scheduling for codecs with a sharper cliff.
In this paper, we introduce Gnomon, a physics-informed system that forecasts user-perceived low-Earth-orbit (LEO) downlink throughput, uplink throughput, and round-trip time (RTT) under different levels of trace availability. Gnomon's physics layer reconstructs the serving geometry and four-leg bent-pipe attenuation fr...
Yun-Xiang Chi, Zhen-Lin An, Longfei Shangguan et al.· 0 citations
A virtual-resource-block-based cross-domain power pooling framework, in which satellite, HAPS, and terrestrial transmit powers are abstracted and allocated from a unified global pool, using a priority-based rounding heuristic combined with global water-filling.
Yang Gao, Yi-Fan Yan· Journal of Physics, Conferen...· 0 citations
Long-duration stratospheric balloon missions must transmit large volumes of scientific and telemetry data over variable, omni-directional links that are prone to packet loss and bandwidth fluctuations. To address this, we developed a semi-autonomous file-downlink system for high-altitude astronomy missions such as Supe...
Emaad Paracha, S. Benton, A. Fraisse et al.· Astronomical Telescopes + In...· 0 citations
Low-earth orbit (LEO) satellite systems provide global coverage and low latency, yet their rapid motion induces severe channel variations, rendering full-service-period physical layer security design prohibitively costly and inefficient. To address this issue, we investigate a high-altitude platform (HAP)-assisted secu...
Ya-Di Zhai, Zhi Lin, Yong Wang et al.· IEEE Open Journal of the Com...· 0 citations
Time-varying aggregate interference from low-Earth-orbit (LEO) satellites challenges terrestrial-network (TN) protection, whereas conservative control degrades LEO quality of service (QoS). This letter proposes a hierarchical framework combining geometry-based interference estimation, QoS-constrained power control, ada...
We evaluate diverse models for user traffic demand forecasting in Low Earth Orbit (LEO) satellite networks with Beam Hopping (BH), questioning whether predictive accuracy is the right objective for this task. To capture the complex nature of the user traffic demand, we employ a second-order self-similar traffic model,...
Yekta Demirci, Guillaume Mantelet, Stéphane Martel et al.· IEEE Journal of Radio Freque...· 0 citations
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