On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Self-similarity in World Wide Web traffic: evidence and possible causes
IEEE/ACM Transactions on Networking (TON)
Channel Occupancy Times and Handoff Rate for Mobile Computing and PCS Networks
IEEE Transactions on Computers
Modeling and analysis of power-tail distributions via classical teletraffic methods
Queueing Systems: Theory and Applications
IEEE Transactions on Parallel and Distributed Systems
Distribution Estimation Using Laplace Transforms
INFORMS Journal on Computing
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
User mobility modeling and characterization of mobility patterns
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Personal communication systems using multiple hierarchical cellular overlays
IEEE Journal on Selected Areas in Communications
Hi-index | 0.00 |
In mobile computing scenario, the number of handoff (called as handoff counting) is very important for the signalling network design and traffic load analysis. In this paper, we study the handoff counting characteristics in terms of probability mass function (pmf) and statistical moments in the hierarchical cellular system applying overflow scheme under the general cell residence time and general call holding time distribution. The analytical result and the algorithm for the evaluation of handoff counting are, respectively, presented for the cases whether or not the Laplace-Stieltjes Transform of call holding time exists. The numerical results reveal that as the call holding time is heavy-tailed, the handoff counting follows the heavy-tailed tendency. In addition, the handoff counting pmf as well as the average value shows a significant different pattern with the utilization of different call holding time distribution.