Sparse Activity Detection for Massive Connectivity
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Wei Yu | Zhilin Chen | Foad Sohrabi | Wei Yu | Foad Sohrabi | Zhilin Chen
[1] A. Lozano,et al. What Will 5 G Be ? , 2014 .
[2] Alexander Jung,et al. Joint channel estimation and activity detection for multiuser communication systems , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).
[3] Richard G. Baraniuk,et al. Asymptotic Analysis of Complex LASSO via Complex Approximate Message Passing (CAMP) , 2011, IEEE Transactions on Information Theory.
[4] Lei Zhang,et al. Neighbor discovery for wireless networks via compressed sensing , 2010, Perform. Evaluation.
[5] Andrea Montanari,et al. Message-passing algorithms for compressed sensing , 2009, Proceedings of the National Academy of Sciences.
[6] Jun Luo,et al. Neighbor discovery in wireless ad hoc networks based on group testing , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.
[7] HOMAS,et al. Sparse Signal Processing Concepts for Efficient 5 G System Design , 2014 .
[8] Philip Schniter,et al. Efficient High-Dimensional Inference in the Multiple Measurement Vector Problem , 2011, IEEE Transactions on Signal Processing.
[9] Jong Chul Ye,et al. Belief propagation for joint sparse recovery , 2011, ArXiv.
[10] Gerhard Wunder,et al. Compressive Random Access Using a Common Overloaded Control Channel , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).
[11] Deanna Needell,et al. CoSaMP: Iterative signal recovery from incomplete and inaccurate samples , 2008, ArXiv.
[12] Andrea Montanari,et al. Accurate Prediction of Phase Transitions in Compressed Sensing via a Connection to Minimax Denoising , 2011, IEEE Transactions on Information Theory.
[13] Philip Schniter,et al. Turbo reconstruction of structured sparse signals , 2010, 2010 44th Annual Conference on Information Sciences and Systems (CISS).
[14] Andrea Montanari,et al. The dynamics of message passing on dense graphs, with applications to compressed sensing , 2010, 2010 IEEE International Symposium on Information Theory.
[15] Xiao Xu,et al. Active user detection and channel estimation in uplink CRAN systems , 2015, 2015 IEEE International Conference on Communications (ICC).
[16] Carsten Bockelmann,et al. Exploiting Sparsity in Channel and Data Estimation for Sporadic Multi-User Communication , 2013, ISWCS.
[17] Andrea Montanari,et al. Message passing algorithms for compressed sensing: I. motivation and construction , 2009, 2010 IEEE Information Theory Workshop on Information Theory (ITW 2010, Cairo).
[18] Andrea Montanari,et al. Graphical Models Concepts in Compressed Sensing , 2010, Compressed Sensing.
[19] Sundeep Rangan,et al. Generalized approximate message passing for estimation with random linear mixing , 2010, 2011 IEEE International Symposium on Information Theory Proceedings.
[20] Holger Boche,et al. Sparse Signal Processing Concepts for Efficient 5G System Design , 2014, IEEE Access.
[21] Wei Yu,et al. On the fundamental limits of massive connectivity , 2017, 2017 Information Theory and Applications Workshop (ITA).
[22] Georgios B. Giannakis,et al. Exploiting Sparse User Activity in Multiuser Detection , 2011 .
[23] Andrea Montanari,et al. The Noise-Sensitivity Phase Transition in Compressed Sensing , 2010, IEEE Transactions on Information Theory.
[24] Jeffrey G. Andrews,et al. What Will 5G Be? , 2014, IEEE Journal on Selected Areas in Communications.
[25] Armin Dekorsy,et al. Compressive Sensing Multi-User Detection with Block-Wise Orthogonal Least Squares , 2012, 2012 IEEE 75th Vehicular Technology Conference (VTC Spring).
[26] Xu Chen,et al. Capacity of Gaussian Many-Access Channels , 2016, IEEE Transactions on Information Theory.