暂无分享,去创建一个
Elisabeth de Carvalho | Kimmo Kansanen | Petar Popovski | Cristian J. Vaca-Rubio | Zheng-Hua Tan | Pablo Ramirez-Espinosa
[1] Jingon Joung,et al. Machine Learning-Based Antenna Selection in Wireless Communications , 2016, IEEE Communications Letters.
[2] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[3] Ertugrul Basar,et al. Transmission Through Large Intelligent Surfaces: A New Frontier in Wireless Communications , 2019, 2019 European Conference on Networks and Communications (EuCNC).
[4] Fredrik Rusek,et al. Cramér-Rao Lower Bounds for Positioning with Large Intelligent Surfaces , 2017, 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall).
[5] Rob Miller,et al. Demo: real-time breath monitoring using wireless signals , 2014, MobiCom.
[6] Merouane Debbah,et al. Reconfigurable Intelligent Surfaces and Metamaterials: The Potential of Wave Propagation Control for 6G Wireless Communications , 2020, ArXiv.
[7] Mohamed-Slim Alouini,et al. Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead , 2020, ArXiv.
[8] W. F. Scott. On the Asymptotic Distribution of the Likelihood Ratio Statistic , 2007 .
[9] Yonina C. Eldar,et al. Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications , 2020, IEEE Wireless Communications.
[10] Tareq Y. Al-Naffouri,et al. On the Distribution of Indefinite Quadratic Forms in Gaussian Random Variables , 2009, IEEE Transactions on Communications.
[11] Kerstin Vogler,et al. Table Of Integrals Series And Products , 2016 .
[12] Suresh Venkatasubramanian,et al. Radio tomographic imaging and tracking of stationary and moving people via kernel distance , 2013, 2013 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).
[13] Henk Wymeersch,et al. Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions , 2020, IEEE Vehicular Technology Magazine.
[14] Antonio Torralba,et al. Through-Wall Human Pose Estimation Using Radio Signals , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Theodore S. Rappaport,et al. New analytical models and probability density functions for fading in wireless communications , 2002, IEEE Trans. Commun..
[16] José F. Paris,et al. New Approximation to Distribution of Positive RVs Applied to Gaussian Quadratic Forms , 2019, IEEE Signal Processing Letters.
[17] Henk Wymeersch,et al. Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems , 2019, 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring).
[18] A. M. Mathai,et al. Quadratic forms in random variables : theory and applications , 1992 .
[19] Neal Patwari,et al. Radio Tomographic Imaging with Wireless Networks , 2010, IEEE Transactions on Mobile Computing.
[20] Emil Björnson,et al. Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays , 2019, ArXiv.
[21] Daqing Zhang,et al. RT-Fall: A Real-Time and Contactless Fall Detection System with Commodity WiFi Devices , 2017, IEEE Transactions on Mobile Computing.
[22] Alessio Zappone,et al. Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends , 2020, IEEE Wireless Communications.
[23] Fumiyuki Adachi,et al. Deep-Learning-Based Millimeter-Wave Massive MIMO for Hybrid Precoding , 2019, IEEE Transactions on Vehicular Technology.
[24] Saumik Bhattacharya,et al. Effects of Degradations on Deep Neural Network Architectures , 2018, ArXiv.
[25] Rui Zhang,et al. Secure Wireless Communication via Intelligent Reflecting Surface , 2019, IEEE Wireless Communications Letters.
[26] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[27] Stefan Winkler,et al. Deep Learning for Emotion Recognition on Small Datasets using Transfer Learning , 2015, ICMI.
[28] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[29] Fredrik Rusek,et al. Beyond Massive MIMO: The Potential of Positioning With Large Intelligent Surfaces , 2017, IEEE Transactions on Signal Processing.
[30] Guan Gui,et al. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System , 2018, IEEE Transactions on Vehicular Technology.
[31] Emil Björnson,et al. Power Scaling Laws and Near-Field Behaviors of Massive MIMO and Intelligent Reflecting Surfaces , 2020, IEEE Open Journal of the Communications Society.
[32] Pascal Vincent,et al. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion , 2010, J. Mach. Learn. Res..
[33] Mohamed-Slim Alouini,et al. Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come , 2019, EURASIP Journal on Wireless Communications and Networking.
[34] Pan Li,et al. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach , 2020, IEEE Transactions on Network Science and Engineering.
[35] Shi Jin,et al. Deep Learning for Massive MIMO CSI Feedback , 2017, IEEE Wireless Communications Letters.
[36] A. Lozano,et al. What Will 5 G Be ? , 2014 .
[37] Qingqing Wu,et al. Intelligent Reflecting Surface Enhanced Wireless Network via Joint Active and Passive Beamforming , 2018, IEEE Transactions on Wireless Communications.
[38] Justin P. Coon,et al. Communication Through a Large Reflecting Surface With Phase Errors , 2019, IEEE Wireless Communications Letters.
[39] Serkan Günal,et al. A comparative study on machine learning algorithms for indoor positioning , 2015, 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA).
[40] J. Idier,et al. Properties of Fisher information for Rician distributions and consequences in MRI , 2014 .
[41] Zhen Gao,et al. Data-Driven Deep Learning to Design Pilot and Channel Estimator for Massive MIMO , 2020, IEEE Transactions on Vehicular Technology.
[42] Jan Sijbers,et al. Maximum-likelihood estimation of Rician distribution parameters , 1998, IEEE Transactions on Medical Imaging.
[43] Fredrik Rusek,et al. Beyond Massive MIMO: The Potential of Data Transmission With Large Intelligent Surfaces , 2017, IEEE Transactions on Signal Processing.
[44] Erik G. Larsson,et al. Massive MIMO for next generation wireless systems , 2013, IEEE Communications Magazine.
[45] Mohamed-Slim Alouini,et al. Wireless Communications Through Reconfigurable Intelligent Surfaces , 2019, IEEE Access.
[46] Shwetak N. Patel,et al. Whole-home gesture recognition using wireless signals , 2013, MobiCom.
[47] Elisabeth de Carvalho,et al. A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting , 2020, CrownCom.
[48] Emil Björnson,et al. Channel Estimation in Massive MIMO Under Hardware Non-Linearities: Bayesian Methods Versus Deep Learning , 2020, IEEE Open Journal of the Communications Society.
[49] S. Kay. Fundamentals of statistical signal processing: estimation theory , 1993 .
[50] Wei Xu,et al. Secrecy Rate Maximization for Intelligent Reflecting Surface Assisted Multi-Antenna Communications , 2019, IEEE Communications Letters.
[51] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[52] Chau Yuen,et al. Indoor Signal Focusing with Deep Learning Designed Reconfigurable Intelligent Surfaces , 2019, 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC).
[53] Jeffrey G. Andrews,et al. What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.
[54] D. Dardari. Communicating With Large Intelligent Surfaces: Fundamental Limits and Models , 2019, IEEE Journal on Selected Areas in Communications.
[55] Mohamed-Slim Alouini,et al. Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques , 2020, IEEE Access.
[56] F. Javier Lopez-Martinez,et al. Physical Layer Security of Large Reflecting Surface Aided Communications With Phase Errors , 2020, IEEE Wireless Communications Letters.