Outage-Aware Robust Sensing for UAV ISAC Systems
Abstract
Integrated sensing and communications (ISAC) infrastructure can provide an external perception layer for aerial robots, but dynamic blockage makes the set of informative sensing links at the next update uncertain. A single predicted availability pattern can miss low-information outcomes, whereas protecting all patterns wastes power and may become infeasible when all links are blocked. We propose an outage-aware conformal robust power-allocation framework for multi-BS UAV tracking. A history-aware joint predictor maps radar and tracking histories to next-slot availability probabilities, and adaptive prediction sets retain plausible correlated patterns. Tracking constraints are enforced only for retained non-outage patterns, while the all-blocked pattern is treated separately as a physical sensing outage. With per-slot beam directions fixed, the resulting scalar-power allocation is a semidefinite program. A reliability bound relates serviceable-slot tracking failure to deployed-policy miscoverage and optimization infeasibility. Across paired closed-loop simulations over five random seeds, the method attains a 0.01% serviceable-slot constraint-violation rate and uses 47.0% less power than protection over all non-outage patterns.
Related
- On the Communication-Sensing Tradeoff in DMT-Optimal Space-time-Coded ISAC Systems
- Sensing-Aided Secure Multicast in Rotatable Antenna-Enabled ISAC Systems
- Worst-User Outage Probability Minimization in Active RIS-Aided Systems
- 3GPP-Compatible Long-Range Sensing for LEO-ISAC: A Window-Grid Processing Framework
- Pinching-Antenna-Enabled ISAC: A Unified Architecture for Flexible Communication and Sensing
BibTeX
@misc{li2026outageaware,
title = {{Outage-Aware Robust Sensing for UAV ISAC Systems}},
author = {Qiming Li and Lei Zhang and Haoran Xu and Lina Mohjazi},
howpublished = {arXiv},
year = {2026},
month = oct,
doi = {10.48550/arxiv.2610.11720},
eprint = {2610.11720},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2610.11720},
}
RIS
TY - UNPB
TI - Outage-Aware Robust Sensing for UAV ISAC Systems
AU - Qiming Li
AU - Lei Zhang
AU - Haoran Xu
AU - Lina Mohjazi
PY - 2026
DA - 2026/10/08
PB - arXiv
DO - 10.48550/arxiv.2610.11720
UR - https://arxiv.org/abs/2610.11720
AB - Integrated sensing and communications (ISAC) infrastructure can provide an external perception layer for aerial robots, but dynamic blockage makes the set of informative sensing links at the next update uncertain. A single predicted availability pattern can miss low-information outcomes, whereas protecting all patterns wastes power and may become infeasible when all links are blocked. We propose an outage-aware conformal robust power-allocation framework for multi-BS UAV tracking. A history-aware joint predictor maps radar and tracking histories to next-slot availability probabilities, and adaptive prediction sets retain plausible correlated patterns. Tracking constraints are enforced only for retained non-outage patterns, while the all-blocked pattern is treated separately as a physical sensing outage. With per-slot beam directions fixed, the resulting scalar-power allocation is a semidefinite program. A reliability bound relates serviceable-slot tracking failure to deployed-policy miscoverage and optimization infeasibility. Across paired closed-loop simulations over five random seeds, the method attains a 0.01% serviceable-slot constraint-violation rate and uses 47.0% less power than protection over all non-outage patterns.
ER -