Power Allocation in Training for Amplify-and-Forward Relay Network

• Author / Creator

  Wu, Chunyan

• This thesis focuses on the power allocation during the channel training process for three cooperative relay networks: a one-way single-relay network, a one-way multi-relay
  network and a two-way single-relay network. For these three networks, under the amplify-and-forward (AF) scheme, we investigate the power allocation problem during the channel training process for the destination or both terminals in the case of the two-way single-relay network to estimate the global channel state information (CSI) of the whole network. Linear minimum-mean-square-error (LMMSE) estimation is adopted. The mean-square-error (MSE) of the channel estimation and the outage probability (OP) of the network with channel estimation error are derived. Closed-form solutions for the power allocation problems based on MSE minimization and OP minimization are obtained. Our simulation results demonstrate that the proposed MSE-based and OP-based power allocation schemes are superior to even power allocation.

• Subjects / Keywords

  • Estimation
  • Training
  • Two-way

• Graduation date

  Spring 2014

• Type of Item

  Thesis

• Degree

  Master of Science

• DOI

  https://doi.org/10.7939/R3J67950H

• 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.