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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 2Arefi, Afshin
- 2Bagheri, Pooya
- 2Banerjee, Bitan
- 2Barczyk, Martin
- 2Barth, Stuart E
- 2Behnam Dehkordi, Mohammad
- 22Machine Learning
- 16Glancing angle deposition
- 15Wireless communication systems.
- 13Deep Learning
- 13Nanotechnology
- 13Optimization
- 21Musilek, Petr (Electrical and Computer Engineering)
- 21Reformat, Marek (Electrical and Computer Engineering)
- 21Tellambura, Chintha (Electrical and Computer Engineering)
- 20Chen, Tongwen (Electrical and Computer Engineering)
- 20Li, Yunwei (Electrical and Computer Engineering)
- 19Ardakani, Masoud (Electrical and Computer Engineering)
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Spring 2020
Moore’s Law is dying, but this is breathing new life into system-on-chip (SoC) architectures. Industry leaders like Intel and Xilinx are investing in heterogeneous computing devices like the reconfigurable SoC, which integrates a field-programmable gate array (FPGA), a multi-core microprocessor...
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Reduced-Complexity Radio Resource Management Algorithms for Heterogeneous MIMO Cellular Networks
DownloadFall 2016
Multiuser multiple-input multiple-output (MU-MIMO) antenna techniques and heterogeneous network (HetNet) layouts are two promising approaches to dramatically increase throughput in future cellular networks to meet the exploding demand for ever higher data rates. HetNets increase capacity of...
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Fall 2022
The amount of mobile data handled by wireless broadband cellular networks is increasing explosively. Multiple-input multiple-output (MIMO) systems have gained a significant importance in modern wireless communication systems. MIMO offers many dimensional advantages that can be utilized to boost...
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Reduced-Complexity Transceiver Signal Processing Algorithms for Massive MIMO and mmWave Cellular Systems
DownloadSpring 2021
Future broadband cellular networks will have to accommodate explosively growing demand for high bit rate data services. The adoption of multiple-input multiple-output (MIMO) designs with large antenna arrays (also known as massive MIMO) and the use of millimeter wave (mmWave) frequency bands are...
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Reduced–Complexity Transmission and Reception Strategies in Coordinated Multi-cell Wireless Networks
DownloadFall 2012
Interference is known as a major obstacle for the spectral efficiency increase promised by multiple-antenna techniques in cellular wireless communications. Recently, it has been shown that multi-cell coordination can mitigate interference and improve system performance dramatically. Hence, we...
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Fall 2013
We consider the scheduling problem in multiuser multiple-input multiple-output (MIMO) systems with successive zero-forcing precoding and coordinated transmit-receive processing. Focusing specifically on the problem of user and data stream scheduling, we allow variable number of data streams per...
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Fall 2019
By integrating universal function approximators into existing simulation software, it is possible to reduce the cost of repeating simulations and thereby increase research output. In this thesis, support vector regression, random forest and artificial neural networks are deployed as universal...
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Spring 2024
The increasing demand for electricity driven by the widespread adoption of electric vehicles necessitates effective distribution network reconfiguration methods. However, existing distribution network reconfiguration approaches often rely on precise network parameters, leading to scalability and...