Cellular network with continuum priority set
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Performance analysis of mobile communication networks with clustering and neural modelling
International Journal of Mobile Network Design and Innovation
Performance evaluation of queuing disciplines for multi-class traffic using OPNET simulator
MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
Reducing handover drops by utilizing comparative queuing
WTS'09 Proceedings of the 2009 conference on Wireless Telecommunications Symposium
Performance evaluation of e-commerce requests in wireless cellular networks
Information and Software Technology
Integrated priority computing scheme for future mobile communication
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
IEEE Journal on Selected Areas in Communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Network performance engineering
Performance evaluation of multi-service UMTS core networks with clustering and neural modelling
International Journal of Mobile Network Design and Innovation
| Hi-index | 0.07 |
In this paper, we present an analytical framework for dynamic priority queueing of handover calls in wireless networks. The framework employs a queueing discipline with two classes of priority for handover calls. Two queues, first priority and second priority, are employed for the two priority classes of handover calls. The priority of queued handover calls is not based only on the received signal strength, but also on the remaining time in the overlap region between two cells. We also incorporate a priority transition between handover calls in the queue; specifically, a second-priority handover call in the second-priority queue, based on certain criteria, can become a first-priority handover call and join the first-priority handover queue. In addition, the event that a handover call could finish its call while waiting in the queue is taken into account in the analysis. This event was not taken into consideration in previous related studies and, as a result, these previous studies overestimate handover failure probability. Our results also show that the predictions of the analytical framework developed in this paper are in very good agreement with simulation results. The developed analytical framework is comprehensive and can also cope with several priority schemes proposed by other researchers in the literature. For example, it is shown that, under certain conditions, the proposed framework converges to first-in-first-out queueing of handover calls. One can easily modify the proposed framework to incorporate priority schemes that use guard channels for handover calls. It is also shown that one could potentially use the framework developed in this paper in integrated voice/data networks, as well as for handover between different network types. The proposed analytical framework is anticipated to be a very useful tool in evaluating performance of present and future wireless networks employing dynamic priority queueing for handovers and in designing more efficient handover algorithms.