Secure Federated Learning for Cognitive Radio Sensing

This article considers reliable and secure spectrum sensing (SS) based on federated learning (FL) in the cognitive radio (CR) environment. Motivation, architectures, and algorithms of FL in SSare d…

Challenge-Response Physical Layer Authentication over Partially Controllable …

Challenge-response is a security mechanism well known for authentication using encryption. In this article, we propose new challenge-response mechanisms in the context of physical layer security. T…

When Federated Learning Meets Blockchain : A New Distributed Learning Paradigm

Motivated by the increasingly powerful computing capabilities of end-user equipment, and by the growing privacy concerns over sharing sensitive raw data, a distributed machine learning paradigm kno…

Nonconvex Low-Rank Tensor Completion from Noisy Data

We study a noisy tensor completion problem of broad practical interest, namely, the reconstruction of a low-rank tensor from highly incomplete and randomly corrupted observations of its entries. Wh…

Intelligent Omni-Surfaces for Full-Dimensional Wireless Communications : Prin…

The recent development of metasurfaces has motivated their potential use for improving the performance of wireless communication networks by manipulating the propagation environment through nearly …

Robotic Communications for 5G and Beyond : Challenges and Research Opportunities

The ongoing surge in applications of robotics brings both opportunities and challenges for the fifth-generation (5G) and beyond (B5G) of communication networks. This article focuses on 5G/B5G-enabl…

Intelligent Reflecting Surface Assisted Free-Space Optical Communications

Free-space optical (FSO) systems are able to offer the high data-rate, secure, and cost-efficient communication links required for applications such as wireless front- and backhauling for 5G and 6G…

AI-Assisted MAC for Reconfigurable Intelligent-Surface-Aided Wireless Network…

Recently, significant research attention has been devoted to the study of reconfigurable intelligent surfaces (RISs), which are capable of reconfiguring the wireless propagation environment by expl…

NOMA for Next-Generation Massive IoT : Performance Potential and Technology D…

Wireless Communications for Collaborative Federated Learning

To facilitate the deployment of machine learning in resource and privacy-constrained systems such as the Internet of Things, federated learning (FL) has been proposed as a means for enabling edge d…