Distributed Uplink Anti-Jamming in LEO Mega-Constellations via Game-Theoretic Beamforming
Shizhen Jia, Mingjun Ying, Marco Mezzavilla, Theodore S. Rappaport, Sundeep Rangan

TL;DR
This paper proposes a distributed game-theoretic beamforming approach for LEO satellite constellations to mitigate ground-based jamming, demonstrating improved uplink resilience through satellite cooperation in realistic simulations.
Contribution
It introduces a novel distributed anti-jamming strategy modeled as a convex-concave game and provides an efficient solver with convergence guarantees, tailored for LEO mega-constellations.
Findings
Distributed cooperation enhances uplink resilience against jamming.
The proposed solver converges quickly to the Nash equilibrium.
Simulations show significant capacity improvements under strong interference.
Abstract
Low-Earth-Orbit (LEO) satellite constellations have become vital in emerging commercial and defense Non-Terrestrial Networks (NTNs). However, their predictable orbital dynamics and exposed geometries make them highly susceptible to ground-based jamming. Traditional single-satellite interference mitigation techniques struggle to spatially separate desired uplink signals from nearby jammers, even with large antenna arrays. This paper explores a distributed multi-satellite anti-jamming strategy leveraging the dense connectivity and high-speed inter-satellite links of modern LEO mega-constellations. We model the uplink interference scenario as a convex-concave game between a desired terrestrial transmitter and a jammer, each optimizing their spatial covariance matrices to maximize or minimize achievable rate. We propose an efficient min-max solver combining alternating best-response updates…
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Taxonomy
TopicsSatellite Communication Systems · UAV Applications and Optimization · Spacecraft Dynamics and Control
