The Novel Applications of Deep Reservoir Computing in Cyber-Security and Wireless Communication
暂无分享,去创建一个
Lingjia Liu | Kangjun Bai | Zhou Zhou | Kian Hamedani | Lingjia Liu | Zhou Zhou | Kangjun Bai | K. Hamedani
[1] Lingjia Liu,et al. Modeling and Analysis of Energy Consumption for MIMO Systems , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).
[2] Shaodan Ma,et al. Channel estimation in full-dimensional massive MIMO system using one training symbol , 2017, 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).
[3] Yang Yi,et al. Analog Spike-Timing-Dependent Resistive Crossbar Design for Brain Inspired Computing , 2018, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.
[4] Yang Yi,et al. Spike-Time-Dependent Encoding for Neuromorphic Processors , 2015, ACM J. Emerg. Technol. Comput. Syst..
[5] Yang Yi,et al. An energy efficient decoding scheme for nonlinear MIMO-OFDM network using reservoir computing , 2016, 2016 International Joint Conference on Neural Networks (IJCNN).
[6] Xin Fu,et al. Interspike-Interval-Based Analog Spike-Time-Dependent Encoder for Neuromorphic Processors , 2017, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
[7] Lingjia Liu,et al. Multi-Cell Multi-User Massive FD-MIMO: Downlink Precoding and Throughput Analysis , 2018, IEEE Transactions on Wireless Communications.
[8] Zhou Zhou,et al. Learn to Demodulate: MIMO-OFDM Symbol Detection through Downlink Pilots , 2019, ArXiv.
[9] Hao Chen,et al. Self-Tuning Sectorization: Deep Reinforcement Learning Meets Broadcast Beam Optimization , 2019, IEEE Transactions on Wireless Communications.
[10] Lingjia Liu,et al. DoA Estimation and RMSE Characterization for 3D Massive-MIMO/FD-MIMO OFDM System , 2014, GLOBECOM 2014.
[11] Yang Yi,et al. Reservoir Computing Meets Smart Grids: Attack Detection Using Delayed Feedback Networks , 2018, IEEE Transactions on Industrial Informatics.
[12] Yang Yi,et al. Deep-DFR: A Memristive Deep Delayed Feedback Reservoir Computing System with Hybrid Neural Network Topology , 2019, 2019 56th ACM/IEEE Design Automation Conference (DAC).
[13] Yan Li,et al. Angle and Delay Estimation for 3-D Massive MIMO/FD-MIMO Systems Based on Parametric Channel Modeling , 2017, IEEE Transactions on Wireless Communications.
[14] Hao Chen,et al. Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G , 2019, IEEE Wireless Communications.
[15] David Tse,et al. Fundamentals of Wireless Communication , 2005 .
[16] Robert Hecht-Nielsen,et al. Theory of the backpropagation neural network , 1989, International 1989 Joint Conference on Neural Networks.
[17] Jian Liu,et al. Novel Spike based Reservoir Node Design with High Performance Spike Delay Loop , 2016, NANOCOM.
[18] Lingjia Liu,et al. Energy Consumption vs. Bit Rate Analysis Toward Massive MIMO Systems , 2018, 2018 IEEE International Smart Cities Conference (ISC2).
[19] Lingjia Liu,et al. Downlink Channel Estimation with Limited Feedback for FDD Multi-User Massive MIMO with Spatial Channel Correlation , 2018, 2018 IEEE International Conference on Communications (ICC).
[20] Holger Kantz,et al. Identifying and Modeling Delay Feedback Systems. , 1998, chao-dyn/9907019.
[21] Robert Hecht-Nielsen. III.3 – Theory of the Backpropagation Neural Network* , 1992 .
[22] Yang Yi,et al. Channel estimation in wireless OFDM systems using reservoir computing , 2015, 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).
[23] Jianzhong Zhang,et al. On the Channel Estimation of Multi-Cell Massive FD-MIMO Systems , 2018, 2018 IEEE International Conference on Communications (ICC).
[24] Cai Hua,et al. MIMO-OFDM channel estimation based on Neural Network , 2011 .
[25] Yang Yi,et al. Privacy Protection Scheme for eHealth Systems: A Stochastic Geometry Approach , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[26] Yang Yi,et al. Enabling An New Era of Brain-inspired Computing: Energy-efficient Spiking Neural Network with Ring Topology , 2018, 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC).
[27] Kandarpa Kumar Sarma,et al. Modeling MIMO channels using a class of complex recurrent neural network architectures , 2012 .
[28] Yang Yi,et al. Realizing Green Symbol Detection via Reservoir Computing: An Energy-Efficiency Perspective , 2018, 2018 IEEE International Conference on Communications (ICC).
[29] Huajin Tang,et al. Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns , 2013, PloS one.
[30] Yi Yang,et al. Big Data Meet Cyber-Physical Systems: A Panoramic Survey , 2018, IEEE Access.
[31] Krishna Sayana,et al. Downlink MIMO in LTE-advanced: SU-MIMO vs. MU-MIMO , 2012, IEEE Communications Magazine.
[32] G. Liodakis,et al. Neural Network – based Digital Receiver for Radio Communications , 2004 .
[33] Li Zhu,et al. Joint Security and QoS Provisioning in Train-Centric CBTC Systems Under Sybil Attacks , 2019, IEEE Access.
[34] Haibo He,et al. Distributive Dynamic Spectrum Access Through Deep Reinforcement Learning: A Reservoir Computing-Based Approach , 2018, IEEE Internet of Things Journal.
[35] Hao Chen,et al. Enabling cyber-physical communication in 5G cellular networks: challenges, spatial spectrum sensing, and cyber-security , 2017, IET Cyper-Phys. Syst.: Theory & Appl..
[36] Yahong Rosa Zheng,et al. Brain-Inspired Wireless Communications: Where Reservoir Computing Meets MIMO-OFDM , 2018, IEEE Transactions on Neural Networks and Learning Systems.
[37] Ying Li,et al. Automated Residential Demand Response: Algorithmic Implications of Pricing Models , 2012, IEEE Transactions on Smart Grid.
[38] Andrew S. Cassidy,et al. Convolutional networks for fast, energy-efficient neuromorphic computing , 2016, Proceedings of the National Academy of Sciences.
[39] Lingjia Liu,et al. Energy-Efficient Wireless Communications: From Energy Modeling to Performance Evaluation , 2019, IEEE Transactions on Vehicular Technology.
[40] Yik-Chung Wu,et al. DoA Estimation and Capacity Analysis for 3-D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems , 2016, IEEE Transactions on Wireless Communications.
[41] P. Kanungo,et al. Rayleigh Fading MIMO Channel Prediction Using RNN with Genetic Algorithm , 2011 .
[42] Chenyang Yang,et al. Energy-Efficient Resource Allocation for MIMO-OFDM Systems Serving Random Sources With Statistical QoS Requirement , 2015, IEEE Transactions on Communications.
[43] Yang Yi,et al. Energy efficient analog spiking temporal encoder with verification and recovery scheme for neuromorphic computing systems , 2017, 2017 18th International Symposium on Quality Electronic Design (ISQED).
[44] Lingjia Liu,et al. Content-Based User Association and MIMO Operation over Cached Cloud-RAN Networks , 2019, ArXiv.
[45] Lingjia Liu,et al. Joint Parametric Channel Estimation and Performance Characterization for 3D Massive MIMO OFDM Systems , 2018, 2018 IEEE International Conference on Communications (ICC).
[46] Yang Yi,et al. Neuromorphic encoding system design with chaos based CMOS analog neuron , 2015, 2015 IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA).
[47] Yang Yi,et al. A Physical Layer Security Scheme for Mobile Health Cyber-Physical Systems , 2018, IEEE Internet of Things Journal.
[48] R D Zimmerman,et al. MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.
[49] Rahul Porwal,et al. MIMO OFDM Space Time Coding - Spatial Multiplexing Increasing Performance and Spectral Efficiency in Wireless Systems , 2014 .
[50] Yang Yi,et al. A deep learning based approach for analog hardware implementation of delayed feedback reservoir computing system , 2018, 2018 19th International Symposium on Quality Electronic Design (ISQED).
[51] Ulysses Lee,et al. Cognitive relay networks with energy and mutual-information accumulation , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[52] Lingjia Liu,et al. Learning for Detection: MIMO-OFDM Symbol Detection Through Downlink Pilots , 2019, IEEE Transactions on Wireless Communications.
[53] Yang Yi,et al. Energy Efficient Spiking Temporal Encoder Design for Neuromorphic Computing Systems , 2016, IEEE Transactions on Multi-Scale Computing Systems.
[54] Yang Yi,et al. Enabling Sustainable Cyber Physical Security Systems through Neuromorphic Computing , 2018, IEEE Transactions on Sustainable Computing.
[55] Jinsong Wu,et al. Green Massive Traffic Offloading for Cyber-Physical Systems over Heterogeneous Cellular Networks , 2019, Mob. Networks Appl..
[56] Lingjia Liu,et al. DoA Estimation and Performance Analysis for Multi-Cell Multi-User 3D mmWave Massive-MIMO OFDM System , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).
[57] Yang Yi,et al. Analog hardware implementation of spike-based delayed feedback reservoir computing system , 2017, 2017 International Joint Conference on Neural Networks (IJCNN).
[58] Lang Tong,et al. Dynamic attacks on power systems economic dispatch , 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.
[59] V. K. Jones,et al. Channel estimation for wireless OFDM systems , 1998, IEEE GLOBECOM 1998 (Cat. NO. 98CH36250).
[60] Haizhou Li,et al. A Spike-Timing-Based Integrated Model for Pattern Recognition , 2013, Neural Computation.
[61] Herbert Jaeger,et al. Adaptive Nonlinear System Identification with Echo State Networks , 2002, NIPS.