Tucker Decomposition for Rotated Codebook in 3-D MIMO System under Spatially Correlated Channel

This correspondence proposes a new rotated codebook for a three-dimensional (3-D) multiple-input multiple-output (MIMO) system under a spatially correlated channel. To avoid the problem of high dimensionality led by a large antenna array, the rotation matrix in the rotated codebook is proposed to be decomposed by Tucker decomposition into three low-dimensional units, i.e., statistical channel direction information in horizontal and vertical directions, respectively, and statistical channel power in the joint horizontal and vertical direction. A closed-form suboptimal solution is provided to reduce the computational complexity in Tucker decomposition. The proposed codebook has a significant dimension reduction from conventional rotated codebooks and is applicable for a 3-D MIMO system with an arbitrary form of antenna array. Simulation results demonstrate that the proposed codebook works very well for various 3-D MIMO systems.

• Record URL:
  • https://doi.org/10.1109/TVT.2015.2483905
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2016, IEEE.
• Authors:
  • Yuan, Fang
• Publication Date: 2016-9

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 7813-7818
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 65
  • Issue Number: 9
  • Publisher: Institute of Electrical and Electronics Engineers (IEEE)
  • ISSN: 0018-9545
  • Serial URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=25

Subject/Index Terms

• TRT Terms: Coding systems; Mathematical programming; Phased arrays; Transmission techniques
• Uncontrolled Terms: Multiple-input multiple-output systems (MIMO)
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01614136
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 25 2016 9:50AM