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Springer eBooks

Enhancing Physical Layer Security in Wireless Powered Communication Networks

Abbas Jamalipour, Ying Bi

Published Oct 12, 2018• 2 citations
Publisher
DOI
10.1007/978-3-319-98174-1_2

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Due to the broadcast nature of wireless radio propagation channels, 5G wireless networks face serious security threats. Security mechanisms that leverage physical layer characteristics have been considered as potential complements to enhance 5G wireless network security. This article proposes physical layer security enhancements to defend against security attacks from the three most significant aspects: wireless secure communication, physical layer assisted authentication and secret key distribution. By integrating physical layer security with novel techniques and application scenarios in 5G communication, we elaborate several promising strategies, including massive MIMO beamforming with security code communication, self-adaptive mobile and cooperative secure communication with dynamic channel prediction, physical layer assisted authentication, malicious node detection and key generation of massive MIMO millimeter wave system. Research opportunities and future challenges are further discussed.
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Visible light communication (VLC) has emerged as a promising candidate to complement and enhance the performance of the existing radio frequency (RF) networks in indoor environments. Due to the broadcast nature of both RF and VLC channels, improving the transmission confidentiality is a requirement in practical wireless networks. Physical-layer security has emerged to provide a first line of defense against eavesdropping attacks. In this paper, we study the physical layer security problem of a hybrid RF/VLC system. First, we formulate the minimization problem of the consumed electrical power in the hybrid RF/VLC network while satisfying the user's required secrecy rate. Then, we propose a zero forcing beamforming strategy and a minimum power allocation algorithm. Simulations results show that the proposed power allocation and beamforming algorithms outperform the benchmark algorithms in terms of the average consumed electrical power in various indoor scenarios.