Title page for etd-0609116-181621


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URN etd-0609116-181621
Author Chia-Yang Mei
Author's Email Address No Public.
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Department Communications Engineering
Year 2015
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Low-Complexity Zero-Forcing Detector for Large-Scale MIMO-OFDM Systems
Date of Defense 2016-07-04
Page Count 42
Keyword
  • power iterative method
  • MIMO-OFDM
  • SVD
  • low-complexity
  • ZF detector
  • Abstract Consider the uplink of multi-input multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. When the number of antennas is sufficiently large, the zero-forcing (ZF) detection performed at the Base station (BS) is near optimum to demodulate data symbols transmitted by users over each subcarrier. Nevertheless, it requires matrix inversion to perform the ZF detection especially when the number of users and subcarriers are large. In this thesis, we adopt singular value decomposition (SVD) based ZF detection and employ power iterative method to reduce computational complexity of SVD. Furthermore, we exploit the fact that the channel matrices of adjacent subcarriers are similar to reduce the required number of iterations in the power iterative method. Specifically, the initial vectors in the power iteration are substituted by the singular vectors obtained for the channel matrix corresponding to the previous subcarrier, rather than the randomly generated vector. It shows through computer simulations that the proposed method reduces the number of iterations by 40%~70%, which significantly reduces the computational complexity in broadband OFDM systems.
    Advisory Committee
  • Wei-Ho Chung - chair
  • Fan-Shuo Tseng - co-chair
  • Tsang-Yi Wang - co-chair
  • Wan-Jen Huang - advisor
  • Files
  • etd-0609116-181621.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2016-07-12

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