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Asymptotic Performance Analysis and Transmission Design for Large-Scale Relay Networks

  • Author / Creator
    Wang, Qian
  • The large-scale relay network is a promising component of future wireless systems, as it can improve the coverage and throughput of wireless communications. The large-scale scenario brings many new challenges. In this thesis, two of the fundamental problems are investigated, i.e., performance analysis and transmission design for large-scale relay networks. For performance analysis, this thesis studies both distributed relaying schemes, e.g., relay selection and distributed relay beamforming, and centralized relaying scheme, e.g., maximal-ratio combining/transmission (MRC/MRT). For best relay selection (BRS), closed-form expressions of the average received SNR and ergodic capacity are derived, {which provide} insights on the array gain and ergodic capacity behaviour of BRS. For distributed relay beamforming, the power allocation that maximizes the sum-rate is proposed. Then the asymptotic behaviour of the SNR is derived rigorously for the high transmit power regime. For MRC/MRT, a comprehensive performance scaling law and performance analysis is provided in a multi-user massive MIMO relay network with channel state information (CSI) error. The results show quantitatively the trade-off between the network parameters and their effects on the performance. In addition, a sufficient condition on the parameter scalings for the signal-to-interference-plus-noise-ratio (SINR) to be asymptotically deterministic {is} derived, which covers existing studies as special cases. Further, the scenario where the SINR increases linearly with the number of relay antennas is studied. The sufficient and necessary condition on the parameter scaling for this scenario is proved. The outage probability and average bit error rate (ABER) of the relay network in this case are analysed. Besides performance analysis, rank detection design is also investigated. Due to the spatial correlation and antenna coupling, the large-scale channel matrix usually has reduced rank. Accurate rank detection is crucial in the estimation of such channel matrices. Several rank detection methods are proposed, which provides higher rank detection rate than existing ones.

  • Subjects / Keywords
  • Graduation date
    2016-06
  • Type of Item
    Thesis
  • Degree
    Doctor of Philosophy
  • DOI
    https://doi.org/10.7939/R3TD9ND7G
  • 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
    • Department of Electrical and Computer Engineering
  • Specialization
    • Communications
  • Supervisor / co-supervisor and their department(s)
    • Jing, Yindi (Electrical and Computer Engineering)
  • Examining committee members and their departments
    • Tellambura, Chintha (Electrical and Computer Engineering)
    • Dong, Xiaodai (Electrical and Computer Engineering, University of Victoria)
    • Khabbazian, Majid (Electrical and Computer Engineering)
    • Jiang, Hai (Electrical and Computer Engineering)
    • Jing, Yindi (Electrical and Computer Engineering)