An Intelligent and Private 6G Air Interface Using Physical Layer Security

This paper lays the foundations for a fundamentally new style of intelligent 6G security that combines deep learning AI/ML with Physical Layer Security. The joint combination of AI and Physical Layer Security is proposed as natively secure privacy layer that conceals sensitive information exchange across the 6G air interface. The framework supports a zero trust model of security for air interface signals connecting the 6G Access Node (AN) to mobile devices. Simulation results for intelligent Physical Layer Security are shown to outperform linear detection models in Rayleigh fading and noise for multiple MIMO antenna sizes and across codebook modulation order.