Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO

@article{Wunder2019LowOverheadHC,
  title={Low-Overhead Hierarchically-Sparse Channel Estimation for Multiuser Wideband Massive MIMO},
  author={G. Wunder and S. Stefanatos and Axel Flinth and I. Roth and G. Caire},
  journal={IEEE Transactions on Wireless Communications},
  year={2019},
  volume={18},
  pages={2186-2199}
}
Numerical evidence suggests that compressive sensing (CS) approaches for wideband massive MIMO channel estimation can achieve very good performance with limited training overhead by exploiting the sparsity of the physical channel. However, analytical characterization of the (minimum) training overhead requirements is still an open issue. By observing that the wideband massive MIMO channel can be represented by a vector that is not simply sparse but has well defined structural properties… Expand
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