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Compressive Channel Feedback Schemes Based on Redundant Dictionary in MIMO Communication Systems

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Abstract

In the paper a sparse approximation based compressive channel feedback scheme is proposed in multiple input multiple output (MIMO) communication system. The redundant dictionary is applied for the channel sparse approximation. In order to reduce feedback resource consumption, a split compression is used for the sparse vector approximation. The impacts of codebook, codeword selection, measurement matrix and approximation error on capacity are analyzed. Simulations show that Grassmanian codebook/dictionary is more preferable for the channel approximation. In the point of capacity, the compressive digital and analog feedback outperform the random vector quantization feedback scheme with the same feedback resource consumption for large antenna array. Since the proposed compressive feedback scheme is not related to the antenna number, it is useful especially for the larger antenna array such as massive MIMO.

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Acknowledgments

This work is supported by the 863 Project No. 2014AA01A701, National Key Project 2013ZX03003-002-04 and NSFC 61471408 and 61231007.

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Authors and Affiliations

  1. Air Force Early Warning Academy, Wuhan, China

    Wei Lu, XianSi Tan & QingHua Liu

  2. Huazhong University of Science and Technology, Wuhan, China

    Yingzhuang Liu & Desheng Wang

Authors
  1. Wei Lu
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  2. XianSi Tan
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  3. QingHua Liu
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  4. Yingzhuang Liu
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  5. Desheng Wang
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Correspondence to Wei Lu.

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Lu, W., Tan, X., Liu, Q. et al. Compressive Channel Feedback Schemes Based on Redundant Dictionary in MIMO Communication Systems. Wireless Pers Commun 82, 2215–2229 (2015). https://doi.org/10.1007/s11277-015-2343-0

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  • DOI: https://doi.org/10.1007/s11277-015-2343-0

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