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New Signal Processing Techniques for MIMO Physical Layer

  • Author / Creator
    Senaratne, Damith N.
  • Multiple-inputmultiple-output (MIMO) systems, characterized by multiple antenna transceivers, add a ‘space’ dimension to signal processing for wireless communication. Conventionally, the degrees of freedom (DoFs), i.e., the number of independent data streams that can be transmitted or received, available in the space dimension are utilized to improve the quality-of-service and the data rates. In other words, the spatial DoFs are exploited to gain diversity and multiplexing benefits. However, these DoFs may be used for other purposes (including multicasting, duplexing, and multipath resolution), which are conceivable given the emerging trend of accommodating more and more antennas in wireless terminals. Developing new physical layer signal processing techniques to realize such non-conventional benefits and ascertaining their viability through performance analysis are the main goals of this thesis. GSVD beamforming, which generalizes eigenmode transmission and zero forcing beamforming techniques for two-user MIMO downlink channels, and spatial multipath resolution, a unique application of spatial signal processing to mitigate multipath fading, are proposed here for the first time. Moreover, beamforming techniques for physical-layer multicasting and space division duplexing are developed in detail; the exact performance of channel inversion power allocation over eigenmode transmission is characterized. This thesis develops each of those contributions in detail.

  • Subjects / Keywords
  • Graduation date
    Fall 2012
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R3B64J
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Doctoral
  • Department
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
  • Examining committee members and their departments
    • Gulliver, Aaron (Electrical and Computer Engineering, University of Victoria)
    • Karumudi, Rambabu (Electrical and Computer Engineering)
    • Han, Bin (Mathematical and Statistical Sciences)
    • Ardakani, Masoud (Electrical and Computer Engineering)
    • Krzymien, Witold (Electrical and Computer Engineering)
    • Cockburn, Bruce (Chair) (Electrical and Computer Engineering)