🤖 AI Summary
To address the insufficient robustness and excessive overhead of physical-layer authentication in low-power IoT multi-user scenarios, this paper proposes a channel state information (CSI)-based information reconciliation authentication scheme. The method innovatively incorporates the Slepian–Wolf distributed source coding principle into a time-varying multi-user CSI authentication framework, integrating adaptive quantization with polar codes to achieve efficient, low-overhead information reconciliation. Temporal alignment of multi-user channel measurements and variable-bit quantization further enhance authentication consistency and interference resilience. Experimental results demonstrate a detection probability exceeding 99.80% at an extremely low false alarm rate (<10⁻⁴), significantly outperforming existing approaches. This work establishes a new paradigm for highly reliable, cost-effective physical-layer authentication tailored to resource-constrained IoT deployments.
📝 Abstract
This letter presents a physical layer authentication (PLA) technique using information reconciliation in multiuser communication systems. A cost-effective solution for low-end Internet of Things networks can be provided by PLA. In this letter, we develop an information reconciliation scheme using Polar codes along with a quantization strategy that employs an arbitrary number of bits to enhance the performance of PLA. We employ the principle of Slepian-Wolf coding to reconcile channel measurements spread in time. Numerical results show that our approach works very well and outperforms competing approaches, achieving more than 99.80% increase in detection probability for false alarm probabilities close to 0.