Journal ArticleDOI
On the handoff arrival process in cellular communications
TLDR
Two additional approximate analytical models are developed and it is found that all are in close agreement with the original “single isolated cell, Poisson handoff arrival model,” which requires the least states.Abstract:
Handoffs in cellular communication systems cause interactions among cells that can be modeled using multi-dimensional birth–death process approaches and the concept of system state However, exact numerical calculation of traffic performance characteristics is hindered by unmanageably large system state spaces even for systems of modest size Previous analytical models get around the difficulty by isolating a cell of interestand invoking a Poisson process assumption for handoff arrivals to the cell Interactions among cells are characterized by relating the mean handoff and departure rates from cells The current paper seeks to explore the interactions in more detail Two additional approximate analytical models are developed for this purpose Each of these is more complicated than the simple Poisson process model, but is analytically tractable – at least for small system sizes One model isolates a cluster of cells (rather than just the cell of interest) from the system and invokes a Poisson process assumption for cells on the cluster periphery Performance is calculated for the central cell The second model also isolates a cluster of cells surrounding the cell of interest, but uses an equivalent two-state Markov Modulated Poisson Process (MMPP) to characterize handoff arrival processes to the cell of interest from each of the neighboring cells Poisson handoff arrivals to cells on the cluster periphery are assumed This approach has fewer states than the cluster approach Finally we present the exact solution for a regional coverage area consisting of a single seven-cell cluster Teletraffic performance characteristics are computed for each modeling technique and are compared It was found that all are in close agreement with the original “single isolated cell, Poisson handoff arrival model,” which requires the least statesread more
Citations
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Journal ArticleDOI
Dynamic priority queueing of handover calls in wireless networks: an analytical framework
A.E. Xhafa,Ozan K. Tonguz +1 more
TL;DR: 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.
Journal ArticleDOI
Performance modeling of wireless networks with generally distributed handoff interarrival times
TL;DR: Numerical solutions for new and handoff call blocking probabilities with arbitrary handoff interarrival time distribution are provided and it is proved that the underlying stochastic process is a Markov regenerative process and subsequently it is used to develop numerical techniques for important Quality of Service measures.
Journal ArticleDOI
Handover Performance of Priority Schemes in Cellular Networks
A.E. Xhafa,Ozan K. Tonguz +1 more
TL;DR: This paper quantifies and compares the handover performance of GCM, GCM-FIFO, and DPQ for ideal and practical scenarios and provides guidelines as to which scheme to use under which scenario and shows that, depending on the cell type, the number of channels per cell, and the traffic load, the operator should use either DPQ or GCM.
Journal ArticleDOI
Adaptive bandwidth management and joint call Admission control to enhance system utilization and QoS in heterogeneous wireless networks
TL;DR: A Markov chain model is developed for the adaptive JCAC scheme and new call blocking probability, handoff call dropping probability, and average system utilization are derived and it is shown that connection-level QoS can be significantly improved by using the proposed adaptiveJCAC scheme.
Vertical handoff and mobility — system architecture and transition analysis
TL;DR: Latest contributions include developing plug-and-play middleware functionalities for Symbian mobile devices, extending the use of the earlier results to state-of-the-art mobile devices and experimental results on the behaviour of protocols used in wireless IP networks are presented.
References
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Journal ArticleDOI
Comments on "Teletraffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures"
TL;DR: A traffic model and analysis for cellular mobile radio telephone systems with handoff, which shows, for example, blocking probability, forced termination probability, and fraction of new calls not completed, as functions of pertinent system parameters.
Journal ArticleDOI
A model for teletraffic performance and channel holding time characterization in wireless cellular communication with general session and dwell time distributions
TL;DR: An approach to modeling user mobility and session time which enables both the calculation of teletraffic performance characteristics and a characterization of holding time which agrees with published reports is presented.
Journal ArticleDOI
A class of data traffic processes — covariance function characterization and related queuing results
TL;DR: This paper obtains statistical properties of the process and uses them to obtain an approximating process, based in part upon time constants associated with the packet-rate covariance function, to characterize the doubly stochastic packet process resulting from a superposition of call types.
Journal ArticleDOI
Blocking, hand-off and traffic performance for cellular communication systems with mixed platforms
TL;DR: In this paper, a tractable analytical model for traffic performance analysis using multidimensional birth-death processes and the method of phases is developed using a multidisciplinary approach to analyze the effects of different mobility parameters and imperfect detection of hand-off needs.
Journal ArticleDOI
The analysis of a queue arising in overflow models
TL;DR: A methodology is presented for analyzing a queuing submodel which frequently arises in the study of overflow models and yields the steady-state queue length distribution, and for each input parcel the complete characterization of the overflow due to each parcel.