A Big Data Enabled Channel Model for 5G Wireless Communication Systems
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Jie Huang | Cheng-Xiang Wang | Jian Sun | Ming-Tuo Zhou | Lu Bai | Olav Tirkkonen | Yang Yang | Jie Li | Jian Sun | Chengxiang Wang | O. Tirkkonen | Jie Huang | Ming-Tuo Zhou | Jie Li | L. Bai | Yang Yang
[1] Hongli Zhang,et al. Mobile cloud sensing, big data, and 5G networks make an intelligent and smart world , 2015, IEEE Network.
[2] Stefan Valentin,et al. Trends and challenges in wireless channel modeling for evolving radio access , 2016, IEEE Communications Magazine.
[3] Sen Wang,et al. Big Data Enabled Mobile Network Design for 5G and Beyond , 2017, IEEE Communications Magazine.
[4] Xiqi Gao,et al. Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.
[5] Zhu Han,et al. Machine Learning Paradigms for Next-Generation Wireless Networks , 2017, IEEE Wireless Communications.
[6] Sihai Zhang,et al. Survey of wireless big data , 2017, Journal of Communications and Information Networks.
[7] Yu Zhang,et al. A PCA-based modeling method for wireless MIMO channel , 2017, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[8] Cheng-Xiang Wang,et al. 5G Ultra-Dense Cellular Networks , 2015, IEEE Wireless Communications.
[9] Jie Huang,et al. A novel 3D GBSM for mmWave MIMO channels , 2018, Science China Information Sciences.
[10] Xuemin Shen,et al. Synergy of Big Data and 5G Wireless Networks: Opportunities, Approaches, and Challenges , 2018, IEEE Wireless Communications.
[11] Leni J. Matos,et al. The Relevance Vector Machine Applied to the Modeling of Wireless Channels , 2013, IEEE Transactions on Antennas and Propagation.
[12] Jianhua Zhang,et al. The interdisciplinary research of big data and wireless channel: A cluster-nuclei based channel model , 2016, China Communications.
[13] A. Lozano,et al. What Will 5 G Be ? , 2014 .
[14] Jintao Wang,et al. Off-Grid Sparse Bayesian Learning-Based Channel Estimation for MmWave Massive MIMO Uplink , 2019, IEEE Wireless Communications Letters.
[15] Tony Q. S. Quek,et al. Transmit Antenna Selection in MIMO Wiretap Channels: A Machine Learning Approach , 2018, IEEE Wireless Communications Letters.
[16] Pan Li,et al. Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach , 2020, IEEE Transactions on Network Science and Engineering.
[17] Joao M. M. Silva,et al. Improvement of Outdoor Signal Strength Prediction in UHF Band by Artificial Neural Network , 2016, IEEE Transactions on Antennas and Propagation.
[18] Francisco Falcone,et al. A Ray Launching-Neural Network Approach for Radio Wave Propagation Analysis in Complex Indoor Environments , 2014, IEEE Transactions on Antennas and Propagation.
[19] Geoffrey Ye Li,et al. Deep Learning-Based Channel Estimation for Beamspace mmWave Massive MIMO Systems , 2018, IEEE Wireless Communications Letters.
[20] Fan Wu,et al. Data and Energy Integrated Communication Networks for Wireless Big Data , 2016, IEEE Access.
[21] Mehdi Bennis,et al. Living on the edge: The role of proactive caching in 5G wireless networks , 2014, IEEE Communications Magazine.
[22] Po-Rong Chang,et al. Environment-adaptation mobile radio propagation prediction using radial basis function neural networks , 1997 .
[23] Jie Huang,et al. Multi-Frequency mmWave Massive MIMO Channel Measurements and Characterization for 5G Wireless Communication Systems , 2017, IEEE Journal on Selected Areas in Communications.
[24] Xin Liu,et al. From Prediction to Action: Improving User Experience With Data-Driven Resource Allocation , 2017, IEEE Journal on Selected Areas in Communications.
[25] Jing Wang,et al. Wireless channel feature extraction via GMM and CNN in the tomographic channel model , 2017, Journal of Communications and Information Networks.
[26] Christoph F. Mecklenbräuker,et al. Sparse time-variant impulse response estimation for vehicular channels using the c-LASSO , 2017, 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).
[27] Muhammad Ali Imran,et al. Challenges in 5G: how to empower SON with big data for enabling 5G , 2014, IEEE Network.
[28] Jianhua Zhang,et al. Data scheme-based wireless channel modeling method: motivation, principle and performance , 2017, Journal of Communications and Information Networks.
[29] Raed M. Shubair,et al. Classification of Indoor Environments for IoT Applications: A Machine Learning Approach , 2018, IEEE Antennas and Wireless Propagation Letters.
[30] Jeffrey G. Andrews,et al. What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.
[31] Mehdi Bennis,et al. Big data meets telcos: A proactive caching perspective , 2015, Journal of Communications and Networks.
[32] Murtaza Haider,et al. Beyond the hype: Big data concepts, methods, and analytics , 2015, Int. J. Inf. Manag..
[33] Xiang Cheng,et al. Mobile Big Data: The Fuel for Data-Driven Wireless , 2017, IEEE Internet of Things Journal.
[34] Jian Yu,et al. Clustering Enabled Wireless Channel Modeling Using Big Data Algorithms , 2018, IEEE Communications Magazine.
[35] Naofal Al-Dhahir,et al. Unsupervised Machine Learning-Based User Clustering in Millimeter-Wave-NOMA Systems , 2018, IEEE Transactions on Wireless Communications.
[36] Giorgio M. Vitetta,et al. On the Application of Support Vector Machines to the Prediction of Propagation Losses at 169 MHz for Smart Metering Applications , 2016, 1607.05154.
[37] Hao Jiang,et al. A Robust Indoor Positioning System Based on the Procrustes Analysis and Weighted Extreme Learning Machine , 2016, IEEE Transactions on Wireless Communications.
[38] Fredrik Tufvesson,et al. 5G: A Tutorial Overview of Standards, Trials, Challenges, Deployment, and Practice , 2017, IEEE Journal on Selected Areas in Communications.
[39] Avita Katal,et al. Big data: Issues, challenges, tools and Good practices , 2013, 2013 Sixth International Conference on Contemporary Computing (IC3).
[40] Hyundong Shin,et al. Machine Learning for Wideband Localization , 2015, IEEE Journal on Selected Areas in Communications.
[41] Jing Xu,et al. 5G Wireless Systems: Simulation and Evaluation Techniques , 2017 .
[42] Zhong Fan,et al. Emerging technologies and research challenges for 5G wireless networks , 2014, IEEE Wireless Communications.
[43] Yiyu Zhou,et al. An Efficient Maximum Likelihood Method for Direction-of-Arrival Estimation via Sparse Bayesian Learning , 2012, IEEE Transactions on Wireless Communications.
[44] Lenan Wu,et al. Automatic Modulation Classification: A Deep Learning Enabled Approach , 2018, IEEE Transactions on Vehicular Technology.
[45] Xu Chen,et al. A Novel Framework of Data-Driven Networking , 2016, IEEE Access.
[46] Ekram Hossain,et al. Machine Learning Techniques for Cooperative Spectrum Sensing in Cognitive Radio Networks , 2013, IEEE Journal on Selected Areas in Communications.
[47] Thomas Aaron Gulliver,et al. Extreme learning machine for 60 GHz millimetre wave positioning , 2017, IET Commun..
[48] Ying-Chang Liang,et al. Wireless big data: transforming heterogeneous networks to smart networks , 2017, Journal of Communications and Information Networks.
[49] Nadra Guizani,et al. Recent Advances and Challenges in Mobile Big Data , 2018, IEEE Communications Magazine.
[50] Xiang Cheng,et al. Exploiting Mobile Big Data: Sources, Features, and Applications , 2017, IEEE Network.
[51] Moe Z. Win,et al. NLOS identification and mitigation for localization based on UWB experimental data , 2010, IEEE Journal on Selected Areas in Communications.
[52] Zhi Ding,et al. Wireless communications in the era of big data , 2015, IEEE Communications Magazine.
[53] Supratim Deb,et al. Learning-Based Uplink Interference Management in 4G LTE Cellular Systems , 2013, IEEE/ACM Transactions on Networking.
[54] Jingon Joung,et al. Machine Learning-Based Antenna Selection in Wireless Communications , 2016, IEEE Communications Letters.
[55] Xuefeng Yin,et al. Neural-Network-Assisted UE Localization Using Radio-Channel Fingerprints in LTE Networks , 2017, IEEE Access.
[56] Wei Xiang,et al. Big data-driven optimization for mobile networks toward 5G , 2016, IEEE Network.