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Preprint Oct 2026

TwinViT-DeepJSCC: Adversarially Robust Semantic Image Communication

Learning-based semantic communication is vulnerable to adversarial perturbations introduced before semantic encoding or over wireless channels. This paper proposes TwinViT-DeepJSCC, a preventive-corrective semantic image transceiver operating under a fixed channel-use budget. Two Vision Transformer (ViT)-based deep joi...

Maedeh Fallahreyhani, P. Azmi, N. Mokari et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Adaptive Distributed Physical-Layer Authentication and Attack Detection in 6G Non-Terrestrial Networks via Causal Meta-Learning

A secure adaptive framework for authentication in multi-zone networks (SAFA-MZ), a causal meta-learning framework for distributed PLA (DPLA) in NTNs, and a model-agnostic meta-learning strategy with invariant risk minimization (IRM) and causal consistency regularization for fast adaptation to unseen NTN environments wi...

Parsa Rajabi, M. Abedi, N. Mokari et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning

This paper considers passive, location-aware, static eavesdroppers without access to legitimate channel state information and proposes secure adaptive federated authentication for multi-zone NTN systems (SAFA-MZ) that maximizes secrecy spectral efficiency (SSE) while ensuring authentication reliability, power limits, a...

Parsa Rajabi, M. Mirzaee, M. Abedi et al. · 0 citations
#reinforcement learning Preprint Aug 2026

AoI-Guaranteed Dynamic Route Planning for Connected Vehicles

This paper presents a novel dual- factor approach that integrates travel time estimation and radio resource availability into an innovative route-planning scheme for connected vehicles (CVs) and shows that AGDRP outperforms the baseline scheme, which solely focuses on travel time optimization.

Sajedeh Norouzi, Maryam Ansarifard, Farshad Zeinali et al. · 0 citations

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