@inproceedings{6380515a9bb74c339ff4f1620ebd61c6,
title = "Power Allocation for Fingerprint-Based PHY-Layer Authentication with mmWave UAV Networks",
abstract = "Physical layer security (PLS) techniques can help to protect wireless networks from eavesdropper attacks. In this paper, we consider the authentication technique that uses fingerprint embedding to defend 5G cellular networks with unmanned aerial vehicle (UAV) systems from eavesdroppers and intruders. Since the millimeter wave (mmWave) cellular networks use narrow and directional beams, PLS can take further advantage of the 3D spatial dimension for improving the authentication of UAV users. Considering a multi-user mmWave cellular network, we propose a power allocation technique that jointly takes into account splitting of the transmit power between the precoder and the authentication tag, which manages both the secrecy as well as the achievable rate. Our results show that we can obtain optimal achievable rate with expected secrecy.",
keywords = "5G, artificial noise, authentication, eavesdropping, fingerprinting, millimeter-wave, physical layer security, power allocation, precoder",
author = "Maeng, \{Sung Joon\} and Yavuz Yapici and Ismail Guvenc and Huaiyu Dai and Arupjyoti Bhuyan",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Communications, ICC 2021 ; Conference date: 14-06-2021 Through 23-06-2021",
year = "2021",
month = jun,
doi = "10.1109/ICC42927.2021.9500273",
language = "English",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "ICC 2021 - IEEE International Conference on Communications, Proceedings",
}