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Secure transmission with artificial noise in millimeter wave systems
2016 IEEE Wireless Communications and Networking Conference, 2016The use of millimeter wave is an effective way to meet the data traffic demand of the 5G wireless communication system. For the new propagation characteristics of millimeter wave, in this paper, we study the secure transmission with artificial noise under slow fading channels considering multipath propagation in millimeter wave systems.
Ying Ju +3 more
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Noise Optimization in Artificial Neural Networks
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE), 2022Li Xiao 0005 +3 more
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PIV Measurements of Buffet with Artificial Noise
2017The transonic buffet flow field around supercritical airfoils is dominated by self-sustained shock wave oscillations on the suction side of the wing. Current theories assume that this unsteadiness is driven by a feedback loop of disturbances in the flow field downstream of the shock wave of which the upstream propagating part is formed by acoustic ...
Antje Feldhusen-Hoffmann +2 more
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Combining dirty-paper coding and artificial noise for secrecy
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016This paper studies the dirty-paper coding (DPC) based secure transmission in a multiuser broadcast channel. Since the encoding order of DPC determines which information-bearing signals must be treated as noise by potential eavesdroppers, adopting DPC enables the accurate characterization of the intrinsic secrecy as well as secrecy outage of multiuser ...
Bo Wang 0017 +5 more
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Secure beamforming for cognitive radio networks with artificial noise
2015 International Conference on Wireless Communications & Signal Processing (WCSP), 2015In this paper, we address the secrecy problem for a cognitive radio network (CRN) by using physical layer security (PHY-security) technology. In order to effectively enhance wireless security, we propose to adopt artificial noise (AN) to impair the quality of the interception signal.
Wu, Yanan, Chen, Xiaoming, Chen, Xianfu
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Artificial Noise Elimination: From the Perspective of Eavesdroppers
IEEE Transactions on Communications, 2022Hong Niu 0001 +3 more
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Secrecy Degradation for Inevitable Phase Noise in Artificial Noise Shielded FH Systems
2021 IEEE Globecom Workshops (GC Wkshps), 2021Changqing Song +4 more
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Noise Optimization in Artificial Neural Networks
IEEE Transactions on Automation Science and EngineeringLi Xiao 0005 +4 more
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Modelling traffic noise in a wide gradient interval using artificial neural networks
Environmental Technology (United Kingdom), 2021Qijin Sheng, Hao Xiang
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