Title page for etd-0721114-210427


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URN etd-0721114-210427
Author Bo-ru Wu
Author's Email Address No Public.
Statistics This thesis had been viewed 5342 times. Download 321 times.
Department Communications Engineering
Year 2013
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Study on the Robust Precoder Design for Lattice Alignment MIMO Interference Channels
Date of Defense 2014-07-29
Page Count 39
Keyword
  • robust design
  • interference alignment
  • MIMO interference channel (IC)
  • imperfect channel state information (CSI)
  • lattice encodes
  • Abstract Multiple-input multiple-output (MIMO) interference channels (IC) have been
    developed to allow the concurrent transmission between the multiple transceiver pairs.
    It is therefore gains higher overall channel capacity. The conventional method to avoid
    the interference at the receiver is to utilize the interference alignment (IA) technique
    which can map the interference into a lower dimension space and the intended signals
    are transmitted over the interference-free signal space. However, the conventional IA
    encounters the feasibility problem in optimizing the precoders in quasi-static MIMO
    channels. Therefore, without using the concept of IA, the alternative method is to adopt
    the lattice alignment method, which can make structured interference space and
    facilitates the detection of the desired signals. Nevertheless, the perfect channel state
    information (CSI) is required for the above-mentioned. It is not practically to obtain the
    perfect CSI in real wireless systems, especially for the transmitters. In this thesis, we
    study the robust precoder design in the lattice alignment system with imperfect CSI. The
    robust precoder is devised by optimizing the precoders, the decoders, and the structured
    interference space, which is inherent a mixed integer and continuous optimization. The
    optimum solution is therefore difficult to be solved. Therefore, we herein propose a
    low-complexity iterative approach to obtain the local optimum solution. Simulations
    verify our robust design.
    Advisory Committee
  • Jwo-Yuh Wu - chair
  • Yin-Man Lee - co-chair
  • Tsang-Yi Wang - co-chair
  • Wan-Jen Huang - co-chair
  • Fan-Shuo Tseng - advisor
  • Files
  • etd-0721114-210427.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2014-09-04

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