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Permanent link (DOI): https://doi.org/10.7939/R3TD9ND7G

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

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Other title
Subject/Keyword
Large-scale relay network
Transmission design
Performance analysis
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Wang, Qian
Supervisor and department
Jing, Yindi (Electrical and Computer Engineering)
Examining committee member and department
Jiang, Hai (Electrical and Computer Engineering)
Tellambura, Chintha (Electrical and Computer Engineering)
Khabbazian, Majid (Electrical and Computer Engineering)
Dong, Xiaodai (Electrical and Computer Engineering, University of Victoria)
Jing, Yindi (Electrical and Computer Engineering)
Department
Department of Electrical and Computer Engineering
Specialization
Communications
Date accepted
2016-08-31T16:48:22Z
Graduation date
2016-06:Fall 2016
Degree
Doctor of Philosophy
Degree level
Doctoral
Abstract
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.
Language
English
DOI
doi:10.7939/R3TD9ND7G
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. 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.
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