Channel training and decoding for MIMO relay networks

  • Author / Creator
    Sun, Sun
  • To accomplish coherent relaying schemes in cooperative relay networks, accurate channel state information (CSI) is essential. To get such CSI, channel training is employed in practice. In this thesis project, we perform theoretical analysis on channel training design and training-based decoding for multiple-input-multiple-output (MIMO) relay networks, which is in general very challenging for relay networks. The objective of channel training for MIMO relay networks is to obtain global CSI at the receiver. To perform training, training scheme design, training code design, training time design, and power allocation, are discussed respectively. Employing obtained channel estimations, two coherent training-based decodings are studied for distributed space-time coding (DSTC) MIMO relay networks: mismatched decoding and matched decoding. For both decodings, the diversity and complexity performance are investigated and compared with each other.

  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • 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
  • Institution
    University of Alberta
  • Degree level
  • Department
    • Department of Electrical and Computer Engineering
  • Supervisor / co-supervisor and their department(s)
    • Yindi Jing (Department of Electrical and Computer Engineering)