Convex Optimization
Utilization and fairness in spectrum assignment for opportunistic spectrum access
Mobile Networks and Applications
Cognitive engine implementation for wireless multicarrier transceivers
Wireless Communications & Mobile Computing - Cognitive Radio, Software Defined Radio And Adaptive Wireless Systems
Computer Networks: The International Journal of Computer and Telecommunications Networking
QoS constrained resource allocation to secondary users in cognitive radio networks
Computer Communications
Human behavior inspired cognitive radio network design
IEEE Communications Magazine
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
Proportional fair power allocation for secondary transmitters in the TV white space
Journal of Electrical and Computer Engineering
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We consider a multi-channel cognitive radio network (CRN) where multiple secondary users share a single channel and multiple channels are simultaneously used by a single secondary user (SU) to satisfy their rate requirements. In this competitive CRN, our interest is in determining optimal power and rate distribution choices for each SU while maintaining fairness in "quality of experience" across all SUs. Unlike prior approaches that focus on resource allocation based on instantaneous quality of service (QoS), our approach to fairness encompasses both current and prior history of user experience with respect to QoS. Specifically, we quantify user experience over time by introducing dynamic fairness weights for each SU in the resource allocation framework. The dynamics of the weights are governed by the Homo Egualis (HE) society model. We consider Jain system level fairness index [1] as a measure of fairness in resource allocation. Simulation results show that the weighted resource allocation scheme provide a better system level fairness index relative to the unweighted allocation scheme.