Machine Learning-Aided Radio Scenario Recognition for Cognitive Radio Networks in Millimeter-Wave Bands
暂无分享,去创建一个
[1] Tingting Zhang,et al. Experimental researches on an UWB NLOS identification method based on machine learning , 2013, 2013 15th IEEE International Conference on Communication Technology.
[2] Agathoniki Trigoni,et al. Non-Line-of-Sight Identification and Mitigation Using Received Signal Strength , 2015, IEEE Transactions on Wireless Communications.
[3] Jeffrey H. Reed,et al. A new approach to signal classification using spectral correlation and neural networks , 2005, First IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, 2005. DySPAN 2005..
[4] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1997, EuroCOLT.
[5] R. Abielmona,et al. Neural Networks for Environmental Recognition and Navigation of a Mobile Robot , 2008, 2008 IEEE Instrumentation and Measurement Technology Conference.
[6] Tuna Tugcu,et al. Radio environment map as enabler for practical cognitive radio networks , 2013, IEEE Communications Magazine.
[7] Eryk Dutkiewicz,et al. NLOS Identification and Mitigation for Mobile Tracking , 2013, IEEE Transactions on Aerospace and Electronic Systems.
[8] Dusit Niyato,et al. A Neural Network Based Spectrum Prediction Scheme for Cognitive Radio , 2010, 2010 IEEE International Conference on Communications.
[9] An He,et al. A Survey of Artificial Intelligence for Cognitive Radios , 2010, IEEE Transactions on Vehicular Technology.
[10] Jeffrey H. Reed,et al. Network Support: The Radio Environment Map , 2009 .
[11] Theodore S. Rappaport,et al. Radio propagation path loss models for 5G cellular networks in the 28 GHZ and 38 GHZ millimeter-wave bands , 2014, IEEE Communications Magazine.
[12] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[13] Lei Shi,et al. Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks , 2015, 2016 IEEE International Conference on Robotics and Automation (ICRA).
[14] Hongbin Zha,et al. Scene understanding in a large dynamic environment through a laser-based sensing , 2010, 2010 IEEE International Conference on Robotics and Automation.