Channel measurements and models for 6G: current status and future outlook
暂无分享,去创建一个
Lei Tian | Pan Tang | Li Yu | Jian-hua Zhang | Tao Jiang
[1] Yu Zhang,et al. Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model , 2020, IEEE Transactions on Big Data.
[2] Hao Chen,et al. Artificial Intelligence-Enabled Cellular Networks: A Critical Path to Beyond-5G and 6G , 2019, IEEE Wireless Communications.
[3] Yan Zhang,et al. Machine‐learning‐based prediction methods for path loss and delay spread in air‐to‐ground millimetre‐wave channels , 2019, IET Microwaves, Antennas & Propagation.
[4] Xiang Cheng,et al. A 3-D Geometry-Based Stochastic Model for UAV-MIMO Wideband Nonstationary Channels , 2019, IEEE Internet of Things Journal.
[5] Sundeep Rangan,et al. Towards 6G Networks: Use Cases and Technologies , 2019, ArXiv.
[6] Jianhua Zhang,et al. The way to apply machine learning to IoT driven wireless network from channel perspective , 2019, China Communications.
[7] Sergio Barbarossa,et al. 6G: The Next Frontier , 2019, ArXiv.
[8] Andreas F. Molisch,et al. Estimation of the K-Factor for Temporal Fading From Single-Snapshot Wideband Measurements , 2019, IEEE Transactions on Vehicular Technology.
[9] Nurul H. Mahmood,et al. Beyond 5G Wireless IRT for Industry 4.0: Design Principles and Spectrum Aspects , 2018, 2018 IEEE Globecom Workshops (GC Wkshps).
[10] Hongtao Zhang,et al. Propagation-model-free Coverage Evaluation via Machine Learning for Future 5G Networks , 2018, 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
[11] Raffaele D'Errico,et al. Large Scale and Clusters Characteristics in Indoor Sub-THz Channels , 2018, 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
[12] Qian Xu,et al. Predicting Wireless MmWave Massive MIMO Channel Characteristics Using Machine Learning Algorithms , 2018, Wirel. Commun. Mob. Comput..
[13] Cheng-Xiang Wang,et al. A Survey of 5G Channel Measurements and Models , 2018, IEEE Communications Surveys & Tutorials.
[14] Guan Gui,et al. Deep Learning for Super-Resolution Channel Estimation and DOA Estimation Based Massive MIMO System , 2018, IEEE Transactions on Vehicular Technology.
[15] S. Salous,et al. Indoor dual polarised radio channel characterisation in the 54 and 70 GHz bands , 2018 .
[16] Nei Kato,et al. Space-Air-Ground Integrated Network: A Survey , 2018, IEEE Communications Surveys & Tutorials.
[17] Sergey Andreev,et al. Characterization of mmWave Channel Properties at 28 and 60 GHz in Factory Automation Deployments , 2018, 2018 IEEE Wireless Communications and Networking Conference (WCNC).
[18] Zhu Han,et al. Wireless Resource Scheduling in Virtualized Radio Access Networks Using Stochastic Learning , 2018, IEEE Transactions on Mobile Computing.
[19] Jefferson Jesus Hengles Almeida,et al. An Application of Neural Networks to Channel Estimation of the ISDB-T B FBMC System , 2018, 1803.01141.
[20] Xiongwen Zhao,et al. 3D MIMO for 5G NR: Several Observations from 32 to Massive 256 Antennas Based on Channel Measurement , 2018, IEEE Communications Magazine.
[21] Cheng Tao,et al. Channel measurements and characterizations for automobile factory environments , 2018, 2018 20th International Conference on Advanced Communication Technology (ICACT).
[22] Haralabos C. Papadopoulos,et al. Predicting Wireless Channel Features Using Neural Networks , 2018, 2018 IEEE International Conference on Communications (ICC).
[23] Shuguang Cui,et al. Handover Control in Wireless Systems via Asynchronous Multiuser Deep Reinforcement Learning , 2018, IEEE Internet of Things Journal.
[24] David W. Matolak,et al. A Survey of Air-to-Ground Propagation Channel Modeling for Unmanned Aerial Vehicles , 2018, IEEE Communications Surveys & Tutorials.
[25] Thomas Kürner,et al. Channel sounding techniques for applications in THz communications: A first correlation based channel sounder for ultra-wideband dynamic channel measurements at 300 GHz , 2017, 2017 9th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT).
[26] R. Nordin,et al. Beamforming techniques for massive MIMO systems in 5G: overview, classification, and trends for future research , 2017, Frontiers of Information Technology & Electronic Engineering.
[27] B. Ai,et al. Indoor massive multiple-input multiple-output channel characterization and performance evaluation , 2017, Frontiers of Information Technology & Electronic Engineering.
[28] Theodore S. Rappaport,et al. Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models , 2017, IEEE Transactions on Antennas and Propagation.
[29] Haiming Wang,et al. 6–100 GHz research progress and challenges from a channel perspective for fifth generation (5G) and future wireless communication , 2017, Science China Information Sciences.
[30] David Burshtein,et al. Deep Learning Methods for Improved Decoding of Linear Codes , 2017, IEEE Journal of Selected Topics in Signal Processing.
[31] Jianhua Zhang,et al. 3-D MIMO: How Much Does It Meet Our Expectations Observed From Channel Measurements? , 2017, IEEE Journal on Selected Areas in Communications.
[32] Yu Zhang,et al. A PCA-based modeling method for wireless MIMO channel , 2017, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).
[33] Jing Wang,et al. Wireless channel feature extraction via GMM and CNN in the tomographic channel model , 2017, Journal of Communications and Information Networks.
[34] Zhu Han,et al. Machine Learning Paradigms for Next-Generation Wireless Networks , 2017, IEEE Wireless Communications.
[35] Cong Shen,et al. Small Cell Transmit Power Assignment Based on Correlated Bandit Learning , 2017, IEEE Journal on Selected Areas in Communications.
[36] David W. Matolak,et al. Air–Ground Channel Characterization for Unmanned Aircraft Systems Part II: Hilly and Mountainous Settings , 2017, IEEE Transactions on Vehicular Technology.
[37] Fei Wang,et al. Achieving 3D-MIMO With Massive Antennas From Theory to Practice With Evaluation and Field Trial Results , 2017, IEEE Systems Journal.
[38] Seunghwan Kim,et al. Comparison of path loss models for indoor 30 GHz, 140 GHz, and 300 GHz channels , 2017, 2017 11th European Conference on Antennas and Propagation (EUCAP).
[39] Timothy J. O'Shea,et al. An Introduction to Machine Learning Communications Systems , 2017, ArXiv.
[40] Aduwati Sali,et al. Channel Measurements, Characterization, and Modeling for Land Mobile Satellite Terminals in Tropical Regions at Ku-band , 2017, IEEE Transactions on Vehicular Technology.
[41] David W. Matolak,et al. Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part III: The Suburban and Near-Urban Environments , 2017, IEEE Transactions on Vehicular Technology.
[42] Jiajing Chen,et al. Measurement-Based Massive MIMO Channel Modeling for Outdoor LoS and NLoS Environments , 2017, IEEE Access.
[43] Ismail Güvenç,et al. UWB Channel Sounding and Modeling for UAV Air-to-Ground Propagation Channels , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).
[44] Jianhua Zhang,et al. Modelling of Human Body Shadowing Based on 28 GHz Indoor Measurement Results , 2016, 2016 IEEE 84th Vehicular Technology Conference (VTC-Fall).
[45] Weisheng Liu,et al. A Propose of the ISS Space-to-Space Communication System by Multiplexing Ground Mobile Communication Frequency Resources , 2016, 2016 Sixth International Conference on Instrumentation & Measurement, Computer, Communication and Control (IMCCC).
[46] Özgür B. Akan,et al. Wideband THz communication channel measurements for 5G indoor wireless networks , 2016, 2016 IEEE International Conference on Communications (ICC).
[47] Athanasios G. Kanatas,et al. Dual polarized MIMO LMS channel measurements and characterization in a pedestrian environment , 2016, 2016 10th European Conference on Antennas and Propagation (EuCAP).
[48] Christian Brecher,et al. Radio channel characterization at 5.85 GHz for wireless M2M communication of industrial robots , 2016, 2016 IEEE Wireless Communications and Networking Conference.
[49] Chris C. Squires,et al. Measurement and Characterization of Low-Altitude Air-to-Ground MIMO Channels , 2016, IEEE Transactions on Vehicular Technology.
[50] Jianhua Zhang,et al. The interdisciplinary research of big data and wireless channel: A cluster-nuclei based channel model , 2016, China Communications.
[51] Christian Wietfeld,et al. Investigation of Air-to-Air Channel Characteristics and a UAV Specific Extension to the Rice Model , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).
[52] Hiroyuki Tsuji,et al. S-band radio propagation characteristics in urban environment for unmanned aircraft systems , 2015, 2015 International Symposium on Antennas and Propagation (ISAP).
[53] Milica Stojanovic,et al. A MIMO Radio Channel Model for Low-Altitude Air-to-Ground Communication Systems , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).
[54] Alenka G. Zajic,et al. Statistical Characterization of 300-GHz Propagation on a Desktop , 2015, IEEE Transactions on Vehicular Technology.
[55] David W. Matolak,et al. Channel characterization for unmanned aircraft systems , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).
[56] Michael Cheffena,et al. Radio frequency measurements and capacity analysis for industrial indoor environments , 2015, 2015 9th European Conference on Antennas and Propagation (EuCAP).
[57] Theodore S. Rappaport,et al. Probabilistic Omnidirectional Path Loss Models for Millimeter-Wave Outdoor Communications , 2015, IEEE Wireless Communications Letters.
[58] Fernando Perez-Fontan,et al. Modeling of the Land Mobile Satellite Channel considering the Terminal’s Driving Direction , 2015 .
[59] David W. Matolak,et al. Antenna and frequency diversity in the unmanned aircraft systems bands for the over-sea setting , 2014, 2014 IEEE/AIAA 33rd Digital Avionics Systems Conference (DASC).
[60] Stefan Parkvall,et al. 5G wireless access: requirements and realization , 2014, IEEE Communications Magazine.
[61] Elisabeth de Carvalho,et al. Towards very large aperture massive MIMO: A measurement based study , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).
[62] Athanasios G. Kanatas,et al. Radio Propagation Channel Measurements for Multi-Antenna Satellite Communication Systems: A Survey , 2014, IEEE Antennas and Propagation Magazine.
[63] Abbas Jamalipour,et al. Modeling air-to-ground path loss for low altitude platforms in urban environments , 2014, 2014 IEEE Global Communications Conference.
[64] Jianhua Zhang,et al. 28-GHz indoor channel measurements and analysis of propagation characteristics , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).
[65] Xiang Cheng,et al. Three-dimensional fading channel models: A survey of elevation angle research , 2014, IEEE Communications Magazine.
[66] Sebastian Priebe,et al. Angular and RMS delay spread modeling in view of THz indoor communication systems , 2014 .
[67] Sebastian Priebe,et al. Ultra broadband indoor channel measurements and calibrated ray tracing propagation modeling at THz frequencies , 2013, Journal of Communications and Networks.
[68] Sebastian Priebe,et al. Stochastic Modeling of THz Indoor Radio Channels , 2013, IEEE Transactions on Wireless Communications.
[69] Limin Xiao,et al. Fading Characteristics of Wireless Channel on High-Speed Railway in Hilly Terrain Scenario , 2013 .
[70] Per Ängskog,et al. Characterisation of highly absorbent and highly reflective radio wave propagation environments in industrial applications , 2012, IET Commun..
[71] Yong Li,et al. A Novel Mobility Model for Clustered MANET , 2012, 2012 8th International Conference on Wireless Communications, Networking and Mobile Computing.
[72] F. Lacoste,et al. Measurements of the land mobile and nomadic satellite channels at 2.2 GHz and 3.8 GHz , 2012, 2012 6th European Conference on Antennas and Propagation (EUCAP).
[73] T. Kurner,et al. Diffraction in mm and Sub-mm Wave Indoor Propagation Channels , 2012, IEEE Transactions on Microwave Theory and Techniques.
[74] Chao Zhang,et al. Broadband Air-to-Ground communications with adaptive MIMO datalinks , 2011, 2011 IEEE/AIAA 30th Digital Avionics Systems Conference.
[75] Christian Bettstetter,et al. Channel measurements over 802.11a-based UAV-to-ground links , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).
[76] P. Pechac,et al. Excess Loss Model for Low Elevation Links in Urban Areas for UAVs , 2011 .
[77] T. Kurner,et al. Diffuse Scattering From Rough Surfaces in THz Communication Channels , 2011, IEEE Transactions on Terahertz Science and Technology.
[78] Ernst Eberlein,et al. Antenna diversity for mobile satellite applications: Performance evaluation based on measurements , 2011, Proceedings of the 5th European Conference on Antennas and Propagation (EUCAP).
[79] Zhizhang Chen,et al. RF channel modeling of a WSN testbed for industrial environment , 2011, 2011 IEEE Radio and Wireless Symposium.
[80] T. Kleine-Ostmann,et al. Channel and Propagation Measurements at 300 GHz , 2011, IEEE Transactions on Antennas and Propagation.
[81] Thomas L. Marzetta,et al. Noncooperative Cellular Wireless with Unlimited Numbers of Base Station Antennas , 2010, IEEE Transactions on Wireless Communications.
[82] Vincent Fabbro,et al. MISO and SIMO measurements of the Land Mobile Satellite propagation channel at S-band , 2010, Proceedings of the Fourth European Conference on Antennas and Propagation.
[83] Gerhard Fettweis,et al. Energy Efficiency Aspects of Base Station Deployment Strategies for Cellular Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.
[84] Shigeru Shimamoto,et al. A Proposal of Wide-Band Air-to-Ground Communication at Airports Employing 5-GHz Band , 2009, 2009 IEEE Wireless Communications and Networking Conference.
[85] Luc Martens,et al. The industrial indoor channel: large-scale and temporal fading at 900, 2400, and 5200 MHz , 2008, IEEE Transactions on Wireless Communications.
[86] T. Kurner,et al. The Impact of Reflections From Stratified Building Materials on the Wave Propagation in Future Indoor Terahertz Communication Systems , 2008, IEEE Transactions on Antennas and Propagation.
[87] T. Kurner,et al. Performance Analysis of Future Multigigabit Wireless Communication Systems at THz Frequencies With Highly Directive Antennas in Realistic Indoor Environments , 2008, IEEE Journal of Selected Topics in Quantum Electronics.
[88] Fredrik Tufvesson,et al. A Measurement-Based Statistical Model for Industrial Ultra-Wideband Channels , 2007, IEEE Transactions on Wireless Communications.
[89] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[90] Andrew R. Nix,et al. Path Loss Models for Air-to-Ground Radio Channels in Urban Environments , 2006, 2006 IEEE 63rd Vehicular Technology Conference.
[91] Wenhui Xiong,et al. 5 GHZ wireless channel characterization for vehicle to vehicle communications , 2005, MILCOM 2005 - 2005 IEEE Military Communications Conference.
[92] M. Koch,et al. Terahertz characterisation of building materials , 2005 .
[93] Stavros A. Koubias,et al. Radio channel characterization in industrial environments and spread spectrum modem performance , 2005, 2005 IEEE Conference on Emerging Technologies and Factory Automation.
[94] J. Werb,et al. Radio Channel Quality in Industrial Wireless Sensor Networks , 2005, 2005 Sensors for Industry Conference.
[95] Jeffrey H. Reed,et al. Wideband air-to-ground radio channel measurements using an antenna array at 2 GHz for low-altitude operations , 2003, IEEE Military Communications Conference, 2003. MILCOM 2003..
[96] Andrea J. Goldsmith,et al. Capacity limits of MIMO channels , 2003, IEEE J. Sel. Areas Commun..
[97] Carl E. Rasmussen,et al. Gaussian processes for machine learning , 2005, Adaptive computation and machine learning.
[98] Erik Haas,et al. Aeronautical channel modeling , 2002, IEEE Trans. Veh. Technol..
[99] Choi Look Law,et al. Ka-band land mobile satellite channel model incorporating weather effects , 2001, IEEE Communications Letters.
[100] Yuguang Fang,et al. A general statistical channel model for mobile satellite systems , 2000, IEEE Trans. Veh. Technol..
[101] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[102] P. Moral. Nonlinear filtering : Interacting particle resolution , 1997 .
[103] Chun Loo,et al. Statistical models for land mobile and fixed satellite communications at Ka band , 1996, Proceedings of Vehicular Technology Conference - VTC.
[104] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[105] M. Nuss,et al. Imaging with terahertz waves. , 1995, Optics letters.
[106] W. Vogel,et al. Earth-satellite tree attenuation at 20 GHz: foliage effects , 1993 .
[107] Daniel Cygan,et al. The land mobile satellite communication channel-recording, statistics, and channel model , 1991 .
[108] Stuart E. Dreyfus,et al. Artificial neural networks, back propagation, and the Kelley-Bryson gradient procedure , 1990 .
[109] Theodore S. Rappaport,et al. Characterising the UHF factory radio channel , 1987 .
[110] J. Goldhirsh,et al. Roadside tree attenuation measurements at UHF for land mobile satellite systems , 1987 .
[111] W. J. Vogel,et al. Tree attenuation at 869 MHz derived from remotely piloted aircraft measurements , 1986 .
[112] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[113] G. Hess,et al. Land-mobile satellite excess path loss measurements , 1980, 29th IEEE Vehicular Technology Conference.
[114] L. Baum,et al. Statistical Inference for Probabilistic Functions of Finite State Markov Chains , 1966 .
[115] R. E. Kalman,et al. A New Approach to Linear Filtering and Prediction Problems , 2002 .
[116] A. Mechelli,et al. Clustering analysis , 2020, Machine Learning.
[117] Claude Oestges,et al. Measurement-based Analysis of Dense Multipath Components in a Large Industrial Warehouse , 2018 .
[118] Min Zhu,et al. Efficient Tracking of Moving Target Based on an Improved Fast Differential Evolution Algorithm , 2018, IEEE Access.
[119] David W. Matolak,et al. Air–Ground Channel Characterization for Unmanned Aircraft Systems—Part I: Methods, Measurements, and Models for Over-Water Settings , 2017, IEEE Transactions on Vehicular Technology.
[120] Honggang Zhang,et al. Decision making policy for RF energy harvesting enabled cognitive radios in decentralized wireless networks , 2017, Digit. Signal Process..
[121] M. Kubát. An Introduction to Machine Learning , 2017, Springer International Publishing.
[122] Hsiao-Hwa Chen,et al. Symbol Cyclic-Shift Equalization Algorithm—A CP-Free OFDM/OFDMA System Design , 2017, IEEE Transactions on Vehicular Technology.
[124] Yongjiang Hu,et al. Analysis of Unmanned Aerial Vehicle MIMO Channel Capacity Based on Aircraft Attitude , 2013 .
[125] Isabelle Mirebeaua. Diffuse scattering , 2009 .
[126] Meng Joo Er,et al. Theory and Novel Applications of Machine Learning , 2009 .
[127] Andreas F. Molisch,et al. Wireless Communications , 2005 .
[128] Yoav Freund,et al. A Short Introduction to Boosting , 1999 .
[129] C. Watkins. Learning from delayed rewards , 1989 .
[130] W. J. Vogel,et al. Fade measurements at L-band and UHF in mountainous terrain for land mobile satellite systems , 1988 .
[131] Louis J. Ippolito,et al. Attenuation by Atmospheric Gases , 1986 .