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Performance Analysis of Artificial Noise-Assisted Location-Based Beamforming in Rician Wiretap Channels [PDF]
Entropy, 2023 This paper studies the performance of location-based beamforming with the presence of artificial noise (AN). Secure transmission can be achieved using the location information of the user.
Hua Fu, Xiaoyu Zhang, Linning Peng
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Artificial Noise Injection and Its Power Loading Methods for Secure Space-Time Line Coded Systems [PDF]
Entropy, 2019 In this paper, we consider a 2 × 2 space-time line coded (STLC) system having two-transmit and two-receive antennas. To improve the secrecy rate of the STLC system, in which an illegitimate receiver eavesdrops the information delivered from ...
Jingon Joung +3 more
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Noise-induced artificial intelligence
Physical Review Research, 2022 We show that unavoidable stochastic fluctuations are not only affecting information processing in a destructive or constructive way, but may even induce conditions necessary for the artificial intelligence itself.
Alex Zhao +5 more
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Impact of Channel Estimation-and-Artificial Noise Cancellation Imperfection on Artificial Noise-Aided Energy Harvesting Overlay Networks [PDF]
Telecommunication Systems, 2021 Abstract EHONs (Energy Harvesting Overlay Networks) satisfy stringent design requirements such as high energy-and-spectrum utilization efficiencies. However, due to open access nature of these networks, eavesdroppers can emulate cognitive radios to wire-tap legitimate information, inducing information security to become a great concern.
Khuong Ho‐Van, Thiem Do‐Dac
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Artificial Noise Revisited [PDF]
IEEE Transactions on Information Theory, 2015 The artificial noise (AN) scheme, proposed by Goel and Negi, is being considered as one of the key enabling technology for secure communications over multiple-input multiple-output (MIMO) wiretap channels. However, the decrease in secrecy rate due to the increase in the number of Eve's antennas is not well understood.
Liu, Shuiyin +2 more
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Ergodic Secrecy Rate Analysis and Optimal Power Allocation for Symbiotic Radio Networks
IEEE Access, 2023 In this paper, we address the challenge of establishing secure communication within a symbiotic radio (SR) network. This network comprises a primary transmitter (PT), a primary receiver (PR), a passive backscatter device (BD), and an eavesdropper (ED ...
Azzam Al-Nahari +4 more
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Two Low-Complexity Efficient Beamformers for an IRS- and UAV-Aided Directional Modulation Network
Drones, 2023 As excellent tools for aiding communication, an intelligent reflecting surface (IRS) and an unmanned aerial vehicle (UAV) can extend the coverage area, remove the blind area, and achieve a dramatic rate improvement.
Yeqing Lin +8 more
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Artificial neural net based noise cancellor [PDF]
ACE '90. Proceedings of [XVI Annual Convention and Exhibition of the IEEE In India], 2005 This paper presents a new method for noise cancellation with an Artificial Neural Network. The network used is a feedforward one with three layers. The backpropagation and Stastical Cauchy's learning algorithms are employed for adaptation of the internal parameters of the network.
Dash, PK +3 more
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IEEE Access, 2021 Land mobile satellite communication and physical layer security are considered as the promising paradigms in beyond 5G networks. In this paper, we establish the multi-relay hybrid satellite-terrestrial systems (HSTSs) with artificial noise (AN) to ...
Mengyan Huang +4 more
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Artificial and online acquired noise dictionaries for noise robust ASR [PDF]
Interspeech 2010, 2010 sponsorship: The research by Jort F. Gemmeke was carried out in the MIDAS project within the STEVIN programme funded by the Dutch and Flemish Governments. The research of Tuomas Virtanen has been funded by the Academy of Finland. (Dutch and Flemish Governments, Academy of Finland)
Gemmeke, J.F., Virtanen, T.
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