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Creators/Authors contains: "Ramaddan, Eman"

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  1. ; ; ; ; (, IEEE Milcom 2026)
    In this paper we develop a novel disruptionresilient approach for real-time, high-resolution sensor data delivery over multiple wireless channels for military autonomous systems such as drones, autonomous vehicles and robots. We design two innovative neural multiple description codecs (neural MDCs) which compress and encode images into multiple independently decodable and mutually refineable streams. Our approach not only achieves high compression efficiency, but also enables the effective use of multiple diverse radio channels for real-time delivery of high-resolution sensor data while ensuring disruption resiliency. Using benchmark image/video sensor datasets as well as real-world 5G traces, we evaluate and demonstrate the efficacy of both neural MDC codecs for highresolution sensor data streaming over multiple radio channels under various jamming scenarios. 
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    Free, publicly-accessible full text available October 7, 2026