In wireless communications, the broadcast nature can be explored to efficiently support multicast services while the difference in channel gains among the wireless links of users promotes multiuser diversity which can be used to improve multicast performance. This thesis proposes…

This thesis proposes a knowledge based expert system tool that can be used as an on- line controller for the charging/discharging of an energy storage system in a wind-diesel microgrid. The wind-diesel microgrid is modelled, and a typical energy storage…

This thesis presents two methods to damp electromechanical oscillations in large power systems such as Trans-Canadian grid. A control method, used in conjunction with Wide Area Measurement System (WAMS), is proposed to damp very low frequency inter-area modes of very…

This thesis studies the dynamics of decision-making in a repeated auction game used as a basis for designing distributed resource management and task assignment mechanisms. We study the problem of coordinating a group of independent agents in a dynamic environment…

This thesis studies and develops quality-of-service (QoS)-aware power allocation and frequency provisioning schemes for multicarrier wireless systems in a frequency-selective fading environment. We first develop an optimal subcarrier power allocation algorithm to maximize the energy efficiency (EE) of a single-user…

Having a complete knowledge about average traffic rates on different links in a network is highly desirable for network operators, particularly when performing tasks such as capacity planning and traffic engineering, or when making decisions on network redesigning.In this thesis,…

Specularity is a very common phenomenon in the real world and confounds many computer vision tasks such as stereo. The first purpose of this thesis is to design a real-time algorithm of specularity detection. After that, with the knowledge of…

This thesis focuses on Mean Field Game (MFG) theory with applications to consensus, flocking, leader-follower and major-minor agent systems. The MFG methodology addresses a class of dynamic games with a large number of minor agents in which each agent interacts…