Sparse channel estimation based on compressed sensing for massive MIMO systems

@article{Qi2015SparseCE,
  title={Sparse channel estimation based on compressed sensing for massive MIMO systems},
  author={Chenhao Qi and Yongming Huang and Shi Jin and Lenan Wu},
  journal={2015 IEEE International Conference on Communications (ICC)},
  year={2015},
  pages={4558-4563}
}
The sparse channel estimation which sufficiently exploits the inherent sparsity of wireless channels, is capable of improving the channel estimation performance with less pilot overhead. To reduce the pilot overhead in massive MIMO systems, sparse channel estimation exploring the joint channel sparsity is first proposed, where the channel estimation is modeled as a joint sparse recovery problem. Then the block coherence of MIMO channels is analyzed for the proposed model, which shows that as… CONTINUE READING
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