Channel Correlation Modeling and its Application to Massive MIMO Channel Feedback Reduction

In this paper, the authors propose a feedback information reduction technique for massive multiple-input multiple-output (MIMO) systems. To this end, the authors analytically derive a covariance matrix of spatially correlated Rayleigh fading channels in closed form. The covariance matrix is expressed based on its statistics, including transmit and receive antennas’ correlation factors, channel variance, and channel delay profile. The closed-form expression enables a principal component analysis (PCA)-based compression of channel state information (CSI), which allows the feedback overhead to be efficiently reduced. The authors also analyze the compression feedback error, bit-error-rate (BER) performance, and the spectral efficiency (SE) of the system using the PCA-based compression. Under the proposed model, numerical results verify that the PCA-based compression method significantly reduces the feedback overhead of the massive MIMO systems with marginal performance degradation from full-CSI feedback. Furthermore, the authors propose a new design framework by numerically showing that there exists the optimal number of transmit antennas in terms of SE for a given limited feedback amount.

• Record URL:
  https://doi.org/10.1109/TVT.2016.2598364
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/00189545
• Supplemental Notes:
  • Copyright © 2017, IEEE.
• Authors:
  • Joung, Jingon
  • Kurniawan, Ernest
  • Sun, Sumei
• Publication Date: 2017-5

Language

• English

Media Info

• Media Type: Web
• Features: Figures; References; Tables;
• Pagination: pp 3787-3797
• Serial:
  • IEEE Transactions on Vehicular Technology
  • Volume: 66
  • Issue Number: 5
  • 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: Antennas; Covariance; Matrices (Mathematics); Wireless communication systems
• Uncontrolled Terms: Multiple-input multiple-output systems (MIMO); Principal component analysis
• Subject Areas: Data and Information Technology; Transportation (General);

Filing Info

• Accession Number: 01638493
• Record Type: Publication
• Files: TRIS
• Created Date: Jun 23 2017 11:40AM