Author

Paresh Saxena

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Sep 2026

QUAD: QUantum Assisted Distributed Deep Reinforcement Learning for Offloading in NTN-empowered MEC

In this paper, we propose QUAD, a quantum assisted distributed deep reinforcement learning (DRL) for offloading in Non-Terrestrial Networks (NTN) empowered multi-access edge computing (MEC) systems. QUAD aims to improve task offloading efficiency by leveraging a quantum layer with hybrid DRL to handle latency-sensitive...

V. Chandrasekhar, Kriti Saluja, Mihika Katdare et al. · IEEE International Symposium... · 0 citations

Preprint Sep 2026

Towards Federated, Green, and Resilient 6G Non-Terrestrial Networks

It is shown that system federation significantly enhances both latency performance and connectivity robustness compared with non-federated LEO architectures and the challenges and possible solutions for adopting the Open-RAN architecture for T-NTN.

Sarath Babu, Victor Baños-Gonzalez, Mario Cordina et al. · 0 citations