Search

Copyright of Journal of South China University of Technology (Natural Science Edition) is the property of South China University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the development of the Internet of Things (IoT) technology and the rapid deployment of open wireless access mobile networks (such as 5th Generation Wireless Networks [5G], New Radio [NR], Long Term Evolution [LTE], Wi-Fi, etc.), more and more devices result in multi-user interference (MUI) within the signal transmission range, and may even suffer attacks or interceptions from some malicious users. Therefore, while wireless communication brings convenience, the security of users’ private information is also facing a huge challenge. As a communication signal waveform sent from a transmitter has its unique radio frequency fingerprint (RF fingerprint), which can be used to identify and authorize the transmitter device. In this article, we investigate the RF fingerprint of waveforms sent from a Wi-Fi transmitter, and discuss how to reduce receiver influence on the RF fingerprint associated with a transmitter. In this work, we propose a receiver calibration method, and a weighted classifier combining decision algorithm to improve the RF fingerprint identification rate. We hope this research can be extended to a more complex electromagnetic environment like 5G networks. It is expected that the self-interference phenomenon between these 5G devices can be mitigated if RF fingerprint identification technology can be adopted. Additionally, the RF fingerprint technology can be helpful for the functions of unified management and cost-saving of telecommunication operators. [ABSTRACT FROM AUTHOR]

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Different with the passive wireless eavesdropping technique in traditional wireless communications, this paper studied proactive eavesdropping technology at the physical layer for legitimate eavesdropper to monitor the communication between suspicious users. It equipped consider a multiple-input single-output(MISO) system model where the suspicious transmitter and legitimate jammer with multi antennas, and equipped the suspicious receiver and legitimate eavesdropper with single antenna, if the channel gain of the suspicious communication link was stronger than that of the eavesdropping link, the legitimate jammer controled the communication rate of the suspicious users via jamming them, in order for the legitimate eavesdropper to correctly decode the eavesdropped information. Considering two cases that the jammer could or couldn’t interference on the legitimate eavesdropper, respectively, it designed the optimal interference signal and power control for the legitimate jammer to maximize the eavesdropping rate. Simulation results show that the proposed interference design method for the jammer in different application scenarios has better eavesdropping performance than the existing two benchmark methods. [ABSTRACT FROM AUTHOR]