Channel Management in Heterogeneous Cellular Networks

Date of Award

Summer 8-2007

Document Type


Degree Name

Master of Science (MS)


Computer Science

Committee Director

Stephen Olariu

Committee Member

Hussein Abdel-Wahab

Committee Member

Michele Weigle

Call Number for Print

Special Collections LD4331.C65 A74 2007


Motivated by the need to increase system capacity in the face of tight FCC regulations, modem cellular systems are under constant pressure to increase the sharing of the frequency spectrum among the users of the network.

Key to increasing system capacity is an efficient channel management strategy that provides higher capacity for the system while, at the same time, providing the users with Quality of Service guarantees. Not surprisingly, dynamic channel management has become a high profile topic in wireless communications. Consider a highly populated urban area, where mobile traffic loads are increased due to highway backups or sporting events. Anxious mobile users are eager to call home or work creating hot spots in cellular areas. Furthermore, mobile service providers are highly competitive in their methods for rendering relief to spatially localized communication traffic overloads while satisfying their mobile users by providing a service with fewer dropped and (hopefully) blocked calls, all while maintaining high bandwidth utilization.

This thesis investigates the topic of channel management m heterogeneous cellular networks where techniques such as cell division are being implemented and used to improve the system capacity. Specifically, in this thesis, assume a heterogeneous cellular system where each cell has an inner cell and a large number of channels can be used, albeit at low power. Furthermore, we investigate how various channel management algorithms can utilize such a system in an efficient way. We show that such a heterogeneous system can accommodate a large number of users at a small additional cost, namely overhead of supporting an additional level of internal handoffs within the cell. In order to mitigate the effect of these additional handoffs, the thesis introduces various strategies for handoff management. Our theoretical findings and experiments are supported by extensive simulation.


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