• DocumentCode
    2740610
  • Title

    Per band PMI selection in finite-rate closed-loop MIMO-OFDM systems

  • Author

    Ghirmai, Tadesse

  • Author_Institution
    Sci. & Technol. Program, Univ. of Washington, Bothell, WA, USA
  • fYear
    2012
  • fDate
    17-20 June 2012
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    The performance of a MIMO system can be increased significantly, if the channel state information (CSI) is known at the transmitter. Sending the full CSI to the transmitter, however, requires a substantial feedback bandwidth. In a finite-rate closed-loop MIMO, the CSI is quantized into a codebook of a finite set of precoding matrices. In such a scheme, the receiver selects an optimal precoding matrix and sends only the precoding matrix index (PMI) to the transmitter reducing the feedback overhead. However, in MIMO-OFDM, if the precoding is performed per subcarrier the feedback overhead still remains large. To reduce the amount of overhead, one precoder per band of subcarriers can be used. In this paper, we propose per band PMI selection by extending the existing per subcarrier methods. Furthermore, we perform link-level simulations to verify the performance of the proposed methods on a system that operates on the IEEE 802.16e-2005 standard.
  • Keywords
    IEEE standards; MIMO communication; OFDM modulation; matrix algebra; precoding; radio transmitters; telecommunication standards; IEEE 802.16e-2005 standard; channel state information; finite-rate closed-loop MIMO-OFDM systems; optimal precoding matrix; precoding matrices; precoding matrix index selection; transmitter; Bandwidth; Complexity theory; MIMO; OFDM; Receivers; Transmitters; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
  • Conference_Location
    Hoboken, NJ
  • ISSN
    1551-2282
  • Print_ISBN
    978-1-4673-1070-3
  • Type

    conf

  • DOI
    10.1109/SAM.2012.6250446
  • Filename
    6250446