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I am
a member of the Wireless Communications Group of the Telecommunications
Research Laboratory (TRL) at Queen’s
University.
My broad research interests include, but are not limited to, third generation (3G) wireless cellular networks, wireless ad hoc and sensor networks, computer and communication networks, fourth generation (4G) wireless mobile networks and systems, mobile and wireless computing, wireless communications, ubiquitous and pervasive computing, scalable distributed systems and algorithms, optical networks, performance evaluation of communication networks, and communication protocols and algorithms.
My
current research interests include:
- Multimedia wireless networks
- Wireless
sensor networks
- Heterogeneous wireless data networks interconnction
with special emphasis on the following topics:
- Radio resource management techniques.
- Performance modeling and analysis.
- Provisioning QoS at connection level, class level, and packet level
Ph.D. Thesis Abstract
New generations of wireless cellular networks, including 3G and 4G technologies, are envisaged to support more mobile users and a variety of wireless multimedia services. With an increasing demand for wireless multimedia services , effective Radio Resource Management (RRM) is needed to improve system performance by maximizing the overall system capacity and maintaining the Quality of Service (QoS) of multimedia traffic . In such systems, QoS guarantees are required at three different levels: (i) at the connection-level, users expect that the new call blocking probability and handoff call dropping probability be small, (ii) at the class-level, constraints might be placed on how the call rejection (blocking or dropping) probabilities of various classes of calls may be related, and (iii) at the packet-level, users require guarantees on maximum packet delay, delay jitter and packet dropping probability. In this thesis, we address the problem of developing efficient resource management techniques for next generation wireless cellular networks. Our main target is to provide a satisfactory balance between the service provider objectives of low cost and high revenue, and the mobile user objectives of acquiring better QoS. As well, we aim to maintain handoff call dropping probability below a target level. We develop a number of novel frameworks that integrate RRM components such as call admission control, bandwidth reservation and adaptation, to provide seamless handoffs to mobile users under hard constraints at both the connection and class levels.
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