Performance Analysis of UMTS Handover with the Help of WLAN
Proceedings of the Second International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks
Modelling and evaluation of the 3G mobile networks with hot-spot WLANs
International Journal of Wireless and Mobile Computing
Multi-service load sharing for resource management in the cellular/WLAN integrated network
IEEE Transactions on Wireless Communications
An improved WLAN-first access scheme for UMTS/WLAN integrated system
Proceedings of the 2010 ACM Symposium on Applied Computing
Interworking in heterogeneous wireless networks: comprehensive framework and future trends
IEEE Wireless Communications
A new call admission control scheme for heterogeneous wireless networks
IEEE Transactions on Wireless Communications
A one-pass method of MIP registration by WLAN host through GPRS network
ICDCN'06 Proceedings of the 8th international conference on Distributed Computing and Networking
IP multimedia in next-generation mobile networks: services, protocols, and technologies
IEEE Wireless Communications
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3G/WLAN integration is thought to be a viable solution for next generation heterogeneous access networks. Estimation of traffic in 3G and WLAN systems is essential to compute the performance of a 3G/WLAN mixed cell. The sharing of calls between 3G and WLAN is dependent on call intercepting (CI) probability of WLAN inside a 3G cell. CI probability is the key parameter for model based analysis of capacity gain and call dropping performance of a mixed cell. Most of the existing models do not derive CI probability. Rather the analysis has been done on the basis of assumed values of CI probability. In this article, we propose an analytical model to derive the CI probability as a function of some realistic cell parameters. The model provides linear changes of CI probability with increasing number of WLAN-hotspots. The model facilitates to represent all WLAN-hotspots by an equivalent single WLAN. Proposed model removes the error in calculating CI probability by 7.6% over existing models. The numerical results are useful to estimate the net traffic in 3G and WLAN systems of mixed cell.