RIS-Aided AANETs: Security Maximization Relying on Unsupervised Projection-Based Neural Networks

Tiep M. Hoang,Thien Van Luong,Dong Liu,Lajos Hanzo

IEEE Transactions on Vehicular Technology（2022）

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摘要

The security aspects of aeronautical ad-hoc networks (AANET) relying on reflective intelligent surface (RIS) are considered. A projection-based deep neural network (DNN) is designed for maximizing the secrecy rate of the proposed RIS-aided AANET. While the multiple-layer architecture of the DNN enables learning the functional relationship between the target variables of the optimization problem and the ground-air channels, the projection method guarantees that the constraint of the optimization problem is not violated. Our design outperforms the state-of-the-art projected gradient descent algorithms and that the RIS is capable of enhancing the security.

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关键词

Physical layer security,reliability,deep learning,projection neural network

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