arXiv AI By Honglei Ma, Erwu Liu, Wei Ni, Zhijun Fang, Rui Wang, Yongbin Gao, Dusit Niyato, Ekram Hossain

Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey

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arXiv:2510. 14854v4 Announce Type: cross Abstract: Magnetic induction (MI) communication (MIC) has emerged as a promising candidate for underground communication networks due to its excellent penetration capabilities.

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arXiv Machine Learning
Sep 16

Channel-Informed Neural Network for Physical Layer Key Generation

The paper presents a channel-informed neural network for physical-layer key generation (PKG) that extracts binary key features directly from IQ measurements while grounding the representation in the multipath channel. The multi-task recurrent network jointly learns reciprocity-preserving features and an auxiliary channel estimate, using deep metric learning and channel-informed supervision. Experiments on indoor and outdoor software-defined-radio data show lower bit disagreement for legitimate users, improved key diversity with ray-traced augmentation, and successful NIST randomness tests after SHA-3 privacy amplification.

By Jose Angel Sanchez Viloria, George Sklivanitis, Dimitris Pados, Elizabeth Serena Bentley