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- W81905508 abstract "In this paper, we proposed a new method to compress the CSI feedback. When the channel matrix is correlated, the DCT matrix works as a sparsifying basis to transform the channel matrix into a sparse form; the sparse signal is a feedback to the transmitter and reconstructed via the subspace pursuit (SP) recovery algorithm. Both theoretical analyses and simulation results show that the new method can introduce a huge computation cost reduction compared with the OMP algorithm and the codebook-based feedback scheme." @default.
- W81905508 created "2016-06-24" @default.
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- W81905508 date "2015-01-01" @default.
- W81905508 modified "2023-09-25" @default.
- W81905508 title "Compressed Sensing for Channel State Information (CSI) Feedback in MIMO Broadcast Channels" @default.
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- W81905508 doi "https://doi.org/10.1007/978-3-319-11104-9_18" @default.
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