• DocumentCode
    1997240
  • Title

    Reduced-complexity interpolation-based QR decomposition using partial layer mapping

  • Author

    Chai, Li-Wei ; Chiu, Po-Lin ; Huang, Yuan-Hao

  • Author_Institution
    Dept. of Electr. Eng., Nat. Tsing-Hua Univ., Hsinchu, Taiwan
  • fYear
    2011
  • fDate
    15-18 May 2011
  • Firstpage
    2381
  • Lastpage
    2384
  • Abstract
    This paper presents a double one-dimension interpolation-based QR decomposition (DOD-IQRD) algorithm and a partial layer-mapping (PLM) scheme for multiple input multiple-output (MIMO) orthogonal-frequency-division multiplexing (OFDM) systems. The proposed algorithm integrates the calculations of frequency-domain channel estimation and QR decomposition for MIMO-OFDM systems, and thus requires less computational complexity than traditional scheme. Besides, the proposed partial layer-mapping scheme can further reduce computational complexity with negligible performance degradation. The analysis results show that the double one dimension interpolation-based QR decomposition algorithm reduces the complexity to 45.2% of the traditional algorithm in the 3GPP-LTE 4×4 MIMO-OFDM system. The proposed QR decomposition algorithm combined with the partial layer mapping scheme can further save up to 70.5% computational complexity for MIMO-OFDM systems.
  • Keywords
    3G mobile communication; Long Term Evolution; MIMO communication; OFDM modulation; channel estimation; frequency-domain analysis; interpolation; matrix decomposition; 3GPP; LTE; MIMO; OFDM systems; QR decomposition; channel estimation; frequency-domain analysis; interpolation; multiple input multiple output; orthogonal frequency division multiplexing; partial layer mapping; Channel estimation; Computational complexity; Frequency domain analysis; Interpolation; MIMO; Matrix decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2011 IEEE International Symposium on
  • Conference_Location
    Rio de Janeiro
  • ISSN
    0271-4302
  • Print_ISBN
    978-1-4244-9473-6
  • Electronic_ISBN
    0271-4302
  • Type

    conf

  • DOI
    10.1109/ISCAS.2011.5938082
  • Filename
    5938082