Results 11 to 20 of about 170,227 (256)
Noise Optimization for Artificial Neural Networks
CoRR, 2021 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
IEEE Access, 2023 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
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. 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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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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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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Improving Secrecy for Correlated Main and Wiretap Channels Using Cooperative Jamming
IEEE Access, 2019 To reduce the secrecy loss due to the correlation between main and wiretap channels, this paper introduces a cooperative jamming relay to degrade the reception at the eavesdropper.
Sai Xu +5 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, 2018 In a directional modulation network, a general power iterative (GPI) based beamforming scheme is proposed to maximize the secrecy rate (SR), where there are two optimization variables required to be optimized. The first one is the useful precoding vector
Hai Yu +9 more
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Secure MISO-NOMA Transmission With Artificial Noise [PDF]
IEEE Transactions on Vehicular Technology, 2018 This correspondence studies a new secrecy beamforming (SBF) scheme for multiple-input single-output non-orthogonal multiple access (MISO-NOMA) systems. In particular, the proposed SBF scheme efficiently exploits artificial noise to protect the confidential information of two NOMA assisted legitimate users, such that only the eavesdropper's channel is ...
Lu Lv +3 more
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