Results 21 to 30 of about 187,634 (305)
Secrecy Performance of a Multi-NOMA-MIMO System in the UEH Relaying Network Using the PSO Algorithm
In this paper, we investigate the secrecy performance of the nonorthogonal multiple access (NOMA) system in an untrusted relaying energy harvesting (UEH) network with the multiple-input multiple-output (MIMO) architecture using the maximum ratio ...
Thi Le Anh, Ic Pyo Hong
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Artificial Noise Revisited [PDF]
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.
Shuiyin Liu +2 more
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Secure Transmission of Terahertz Signals with Multiple Eavesdroppers
The terahertz (THz) band is expected to become a key technology to meet the ever-increasing traffic demand for future 6G wireless communications, and a lot of efforts have been paid to develop its capacity.
Yuqian He +4 more
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Artificial and online acquired noise dictionaries for noise robust ASR [PDF]
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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Noise Optimization for Artificial Neural Networks
Se ha demostrado que la adición de ruidos a la red neuronal artificial (ANN) puede mejorar la solidez en trabajos anteriores. En este trabajo, proponemos una nueva técnica para calcular la estimación del gradiente estocástico Pathwise con respecto a la desviación estándar del ruido gaussiano añadido a cada neurona de la ANN.
Li Xiao, Zeliang Zhang, Yijie Peng
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Artificial Noise Aided Secure Transmission for Active RIS-Aided NOMA Networks
A secrecy rate maximization problem for active reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access networks has been studied in this paper. Assuming that the perfect channel state information is available, we aim to maximize the
Fengming Yang, Weiran Guo, Jianxin Dai
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Noise-induced artificial intelligence
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. In this proof-of-principle paper we consider a model of a neuron-astrocyte network under the influence of multiplicative noise and show that
Alex Zhao +5 more
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Noise shielding surrogate models using dynamic artificial neural networks
The optimal design methodologies in aeronautics are known to be constrained by the computational burden required by direct simulations. Due to this reason, the development of efficient metamodelling techniques represents nowadays an imperative need for ...
Cioffi I. +4 more
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Ergodic Secrecy Rate Analysis and Optimal Power Allocation for Symbiotic Radio Networks
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
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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