Title page for etd-0731116-190915


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URN etd-0731116-190915
Author Cing-He Hong
Author's Email Address No Public.
Statistics This thesis had been viewed 5579 times. Download 63 times.
Department Communications Engineering
Year 2016
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Joint Source and Full-Duplex Relay Space-Time Filtering Design in Amplify-and-Forward MIMO Relay Systems
Date of Defense 2016-08-24
Page Count 48
Keyword
  • self-interference
  • frequency selective fading channel
  • space-time filtering
  • Full-duplex systems
  • minimum mean-squared error (MMSE)
  • multiple-input multiple-output relay (MIMO Relay) systems
  • Abstract The multiple-input multiple-output relay (MIMO relay) systems are developed to efficiently improve the link reliability and extend the communication coverage. However, the relaying process needs two phases to separately receive and re-transmit signals, which is so-called half-duplex transmission. The full-duplex (FD) MIMO relay systems are then developed to improve the spectral efficiency. However, the relay nodes incur self-interference due to simultaneous receive and transmission of data signals, which greatly limits the overall end-to-end performance. Therefore, many works focus on the relay precoder design to mitigate the influence of the self-interference. However, in the presence of frequency selective fading channels, the design is much more involved. In this thesis, we jointly design source and relay space-time filters to mitigate the influence of both frequency selective fading channel and the self-interference caused by FD device. Since the relation of the input and output signals caused by the self-interference at the relay can be modeled as IIR filter, we develop a nonlinear successive interference cancellation (SIC) based relay space-time filter to suppress the self-interference and meanwhile leverage the channels of the source-relay and relay-destination links. The proposed joint source and relay space-time filters are conducted by minimum mean-squared error (MMSE) and maximum overall capacity. However, the corresponding optimizations are intractable to be solved due to the complicated formulations. We then propose a serious simplification process that can iteratively obtain the closed-form solutions. Numerical results show that the proposed design can significantly outperform the other existing methods.
    Advisory Committee
  • Shou-Sheu Lin - chair
  • Chao-Kai Wen - co-chair
  • Tsang-Yi Wang - co-chair
  • Wan-Jen Huang - co-chair
  • Fan-Shuo Tseng - advisor
  • Files
  • etd-0731116-190915.pdf
  • Indicate in-campus at 2 year and off-campus access at 2 year.
    Date of Submission 2016-08-31

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