Compressive Sensing Based Channel Estimation for Massive MIMO Communication Systems
暂无分享,去创建一个
Muhammad Arshad | Ijaz Mansoor Qureshi | Sardar Ali | Athar Waseem | Aqdas Naveed Malik | Haris Anis | A. Waseem | I. Qureshi | A. Malik | Sardar Ali | Muhammad Arshad | Haris Anis
[1] Marc Moonen,et al. Optimal training design for MIMO OFDM systems in mobile wireless channels , 2003, IEEE Trans. Signal Process..
[2] Nihar Jindal,et al. Optimum pilot overhead in wireless communication: A unified treatment of continuous and block-fading channels , 2009, 2010 European Wireless Conference (EW).
[3] Wei Dai,et al. Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO , 2015, IEEE Transactions on Communications.
[4] A. Lozano,et al. What Will 5 G Be ? , 2014 .
[5] Theodore S. Rappaport,et al. Millimeter Wave MIMO channel estimation based on adaptive compressed sensing , 2017, 2017 IEEE International Conference on Communications Workshops (ICC Workshops).
[6] Emre Telatar,et al. Capacity and mutual information of wideband multipath fading channels , 1998, IEEE Trans. Inf. Theory.
[7] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[8] Linglong Dai,et al. Spectrally Efficient Time-Frequency Training OFDM for Mobile Large-Scale MIMO Systems , 2013, IEEE Journal on Selected Areas in Communications.
[9] Bhaskar D. Rao,et al. Dictionary Learning-Based Sparse Channel Representation and Estimation for FDD Massive MIMO Systems , 2016, IEEE Transactions on Wireless Communications.
[10] David James Love,et al. Downlink Training Techniques for FDD Massive MIMO Systems: Open-Loop and Closed-Loop Training With Memory , 2013, IEEE Journal of Selected Topics in Signal Processing.
[11] Hlaing Minn,et al. Optimal training signals for MIMO OFDM channel estimation , 2006, IEEE Trans. Wirel. Commun..
[12] W. Chin. Emerging Technologies and Research Challenges for 5 G Wireless Networks , 2014 .
[13] Guosen Yue,et al. User Grouping for Massive MIMO in FDD Systems: New Design Methods and Analysis , 2014, IEEE Access.
[14] Ali Ghrayeb,et al. Compressive sensing-based channel estimation for massive multiuser MIMO systems , 2013, 2013 IEEE Wireless Communications and Networking Conference (WCNC).
[15] Lenan Wu,et al. Uplink channel estimation for massive MIMO systems exploring joint channel sparsity , 2014 .
[16] Jeffrey G. Andrews,et al. What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.
[17] Emil Björnson,et al. A Framework for Training-Based Estimation in Arbitrarily Correlated Rician MIMO Channels With Rician Disturbance , 2010, IEEE Transactions on Signal Processing.
[18] Shahid Mumtaz,et al. Joint CSIT Acquisition Based on Low-Rank Matrix Completion for FDD Massive MIMO Systems , 2015, IEEE Communications Letters.
[19] Emil Björnson,et al. Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits , 2013, IEEE Transactions on Information Theory.
[20] Li Zhang,et al. Weighted compressive sensing based uplink channel estimation for time division duplex massive multi-input multi-output systems , 2017, IET Commun..
[21] Erik G. Larsson,et al. Scaling Up MIMO: Opportunities and Challenges with Very Large Arrays , 2012, IEEE Signal Process. Mag..
[22] Fredrik Tufvesson,et al. Modeling the ultra-wideband outdoor channel: Measurements and parameter extraction method , 2010, IEEE Transactions on Wireless Communications.
[23] Chau Yuen,et al. Super-Resolution Sparse MIMO-OFDM Channel Estimation Based on Spatial and Temporal Correlations , 2014, IEEE Communications Letters.
[24] Zhong Fan,et al. Emerging technologies and research challenges for 5G wireless networks , 2014, IEEE Wireless Communications.
[25] Geoffrey Ye Li,et al. An Overview of Massive MIMO: Benefits and Challenges , 2014, IEEE Journal of Selected Topics in Signal Processing.
[26] Dhananjay Singh,et al. Compressive Sensing-based Sparsity Adaptive Channel Estimation for 5G Massive MIMO Systems , 2018 .
[27] Xu Chen,et al. Sparse Channel Estimation for Massive MIMO with 1-Bit Feedback Per Dimension , 2016, 2017 IEEE Wireless Communications and Networking Conference (WCNC).
[28] Sheng Chen,et al. Pilot Contamination Elimination for Large-Scale Multiple-Antenna Aided OFDM Systems , 2014, IEEE Journal of Selected Topics in Signal Processing.
[29] Lin Gui,et al. Block Distributed Compressive Sensing-Based Doubly Selective Channel Estimation and Pilot Design for Large-Scale MIMO Systems , 2017, IEEE Transactions on Vehicular Technology.
[30] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[31] Sheng Chen,et al. Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO , 2015, IEEE Transactions on Signal Processing.
[32] Xiaodong Wang,et al. A New Sparse Channel Estimation and Tracking Method for Time-Varying OFDM Systems , 2013, IEEE Transactions on Vehicular Technology.
[33] Babak Hassibi,et al. How much training is needed in multiple-antenna wireless links? , 2003, IEEE Trans. Inf. Theory.
[34] Dong In Kim,et al. Compressed Sensing for Wireless Communications: Useful Tips and Tricks , 2015, IEEE Communications Surveys & Tutorials.
[35] Xiqi Gao,et al. Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.
[36] Zhu Han,et al. Training Sequence Design and Optimization for Structured Compressive Sensing Based Channel Estimation in Massive MIMO Systems , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).
[37] Kien T. Truong,et al. Compressive Channel Estimation in FDD Multi-Cell Massive MIMO Systems with Arbitrary Arrays , 2016, 2016 IEEE Globecom Workshops (GC Wkshps).
[38] W. Marsden. I and J , 2012 .
[39] Younsun Kim,et al. Evolution of reference signals for LTE-advanced systems , 2012, IEEE Communications Magazine.
[40] Linglong Dai,et al. Structured Compressive Sensing Based Superimposed Pilot Design in Downlink Large-Scale MIMO Systems , 2014, ArXiv.