AI RESEARCH
Model-Driven Learning-Based Physical Layer Authentication for Mobile Wi-Fi Devices
arXiv CS.LG
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ArXi:2603.19972v1 Announce Type: new The rise of wireless technologies has made the Internet of Things (IoT) ubiquitous, but the broadcast nature of wireless communications exposes IoT to authentication risks. Physical layer authentication (PLA) offers a promising solution by leveraging unique characteristics of wireless channels. As a common approach in PLA, hypothesis testing yields a theoretically optimal Neyman-Pearson (NP) detector, but its reliance on channel statistics limits its practicality in real-world scenarios.