Power Allocation for Fingerprint-Based PHY-Layer Authentication with mmWave UAV Networks
| Autor: | Yavuz Yapici, Arupjyoti Bhuyan, Huaiyu Dai, Sung Joon Maeng, Ismail Guvenc |
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| Rok vydání: | 2020 |
| Předmět: |
Signal Processing (eess.SP)
Authentication Computer science Wireless network business.industry Fingerprint (computing) Physical layer ComputerApplications_COMPUTERSINOTHERSYSTEMS Fingerprint recognition Transmitter power output Cellular network FOS: Electrical engineering electronic engineering information engineering Electrical Engineering and Systems Science - Signal Processing business 5G Computer network |
| Zdroj: | ICC |
| DOI: | 10.48550/arxiv.2011.00742 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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