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An Innovative MultiVariable Control Framework for Effective Wireless Resource Management Open Access


Other title
Wireless Resource Management
Type of item
Degree grantor
University of Alberta
Author or creator
Liu, Chen
Supervisor and department
Harms, Janelle (Computing Science)
Examining committee member and department
Hossam Hassanein (School of Computing, Queen's University)
Ioanis Nikolaidis (Computing Science)
Armann Ingolfsson (School of Business)
Department of Computing Science
Computer Networks
Date accepted
Graduation date
Doctor of Philosophy
Degree level
Over the past two decades, wireless networking has become an enabling technology for ubiquitous computing and inexpensive Internet access. The demand for wireless networking has also increased steadily, including a wider range of applications, larger user populations, and larger network scale. Challenges come from the increasing variety of traffic (such as data, voice and video), service criteria (e.g. QoS/QoE, reliability, security etc.), as well as system requirements (e.g. revenue, fairness, aggregate network performance etc.). Furthermore, wireless networks are less stable, tractable and predictable compared with wired environments, due to physical and management realities. From the physical perspective, the time-varying soft capacity of wireless channels, as well as co-channel and adjacent-channel interference degrades transmission quality and reduces their effective capacity. From the management perspective, uncontrolled resource competition and uneven resource distribution degrades network performance. Although hardware advances are critical to satisfy ever-growing user demands, the efficiency of resource management plays an equally (if not more) important role to push wireless networking to its full potential in terms of satisfying diverse user and system requirements. In this thesis, we propose an effective framework of resource management to reduce the gap between diverse user/system demands and limited delivery capability of wireless networks. Our simulation results demonstrate that this proposed framework of resource management achieves the lowest packet loss rate, best end-to-end delay and fairness without compromising network throughput, compared with the state-of-the-art methods. Additionally, our approach is simple in computation and light in overhead.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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