References & Further Reading
References
- W. U. Bajwa, J. Haupt, A. M. Sayeed, and R. Nowak, Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels, 2010
Established compressed sensing as the right tool for sparse channel estimation.
- A. Fengler, S. Haghighatshoar, P. Jung, and G. Caire, Non-Bayesian Activity Detection, Large-Scale Fading Coefficient Estimation, and Unsourced Random Access with a Massive MIMO Receiver, 2021
CommIT-driven covariance activity detector for massive random access.
- V. K. Amalladinne, J.-F. Chamberland, and K. R. Narayanan, A Coded Compressed Sensing Scheme for Unsourced Multiple Access, 2020
Coded CS for unsourced random access.
- G. Wunder, I. Roth, R. Fritschek, and J. Eisert, HiHTP: A Custom-Tailored Hierarchical Sparse Detector for Massive MTC, 2018
Hierarchical sparsity (Wunder-Caire) for massive machine-type communications.
- I. Roth, M. Kliesch, A. Flinth, G. Wunder, and J. Eisert, Reliable Recovery of Hierarchically Sparse Signals for Gigabit-Connected Machines, 2020
Theoretical guarantees for hierarchical sparse recovery.
- G. Tang, B. N. Bhaskar, P. Shah, and B. Recht, Compressed Sensing off the Grid, 2013
Atomic-norm minimization for gridless DOA/line-spectral estimation.
- M. Yuan and Y. Lin, Model Selection and Estimation in Regression with Grouped Variables, 2006
Group LASSO and the $\ell_{2,1}$ penalty.
- Y. C. Eldar and M. Mishali, Robust Recovery of Signals from a Structured Union of Subspaces, 2009
Block-sparse recovery guarantees.
- E. J. Candes and T. Tao, Decoding by Linear Programming, 2005
Foundational CS recovery via $\ell_1$-minimization.
- M. J. Wainwright, Sharp Thresholds for High-Dimensional and Noisy Sparsity Recovery Using $\ell_1$-Constrained Quadratic Programming (LASSO), 2009
Sharp support-recovery thresholds for LASSO.
- S. Haghighatshoar and G. Caire, Massive MIMO Channel Subspace Estimation from Low-Dimensional Projections, 2017
Joint sparse channel estimation across subcarriers in FDD massive MIMO.
- M. F. Duarte and Y. C. Eldar, Structured Compressed Sensing: From Theory to Applications, 2011
Tutorial on structured sparsity models in CS.
- G. Wunder, I. Roth, A. Flinth, M. Barzegar, S. Haghighatshoar, G. Caire, G. Kutyniok, A Hierarchical Sparse Recovery Framework for Wireless Channel Estimation and Massive Random Access, 2018
- V. K. Amalladinne, A. K. Pradhan, C. Rush, J.-F. Chamberland, K. R. Narayanan, G. Caire, Unsourced Random Access with Coded Compressed Sensing: Integrating AMP and Belief Propagation, 2022