Admission control by dynamic bandwidth reservation using road layoutand bidirectional navigator in wireless multimedia networks

In this paper, we propose a Call Admission Control (CAC) scheme by dynamic bandwidth reservation where a new call is admitted only when both the remaining resource units at the serving Base Station (BS) excluding the resource units of ongoing calls in the BS and the reserved resource units of anticipated incoming handoff calls from direct neighbor cell is enough to accommodate the new call, and when the next cell for this call to visit has enough resource units to accommodate the new call. The proposed call admission control incorporates both mobile information such as position, speed, and next cell to visit by using bidirectional navigator and road layout information. Simulation results show that the handoff call dropping probability and new call blocking probability of our proposed CAC scheme are lower than an existing similar CAC scheme, respectively. To show the practicality of the assumption of having bidirectional navigator for each Mobile Station (MS), we give a simulation where some MSs have bidirectional navigators and some MSs don't have. The simulation results show that more MSs with bidirectional navigators, less the new call blocking probability, while keeping handoff call dropping probability at the same level.

[1]  Hyong S. Kim,et al.  QoS provisioning in cellular networks based on mobility prediction techniques , 2003, IEEE Commun. Mag..

[2]  Jorge Martínez-Bauset,et al.  Optimal admission control in multimedia mobile networks with handover prediction , 2008, IEEE Wireless Communications.

[3]  H.S. Kim,et al.  A Predictive Bandwidth Reservation Scheme Using Mobile Positioning and Road Topology Information , 2006, IEEE/ACM Transactions on Networking.

[4]  Hyong S. Kim,et al.  Dynamic bandwidth reservation in cellular networks using road topology based mobility predictions , 2004, IEEE INFOCOM 2004.

[5]  Periklis Chatzimisios,et al.  Adaptive resource allocation and dynamic Call Admission Control in wireless networks , 2010, 2010 IEEE Globecom Workshops.

[6]  Fatos Xhafa,et al.  Performance Evaluation and Comparison of Fuzzy-Based Intelligent CAC Systems for Wireless Cellular Networks , 2010, 2010 International Conference on Intelligent Networking and Collaborative Systems.

[7]  Ren-fa Li,et al.  A Novel Measurement-Based Call Admission Control Algorithm for Wireless Mobility Networks under Practical Mobility Model , 2010, 2010 International Conference on Communications and Mobile Computing.

[8]  Ian F. Akyildiz,et al.  A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept , 1997, TNET.

[9]  Salvatore Marano,et al.  Utility-Based Predictive Services for Adaptive Wireless Networks With Mobile Hosts , 2009, IEEE Transactions on Vehicular Technology.

[10]  Taieb Znati,et al.  Predictive mobility support for QoS provisioning in mobile wireless environments , 2001, IEEE J. Sel. Areas Commun..

[11]  Stephen S. Rappaport,et al.  Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedures , 1986, IEEE Transactions on Vehicular Technology.

[12]  Ruttikorn Varakulsiripunth,et al.  Effect of Shadow Cluster on Predictive User Mobility Behavior Scheme in Cellular Networks , 2009, 2009 Fourth International Conference on Computer Sciences and Convergence Information Technology.

[13]  Kang G. Shin,et al.  Predictive and adaptive bandwidth reservation for hand-offs in QoS-sensitive cellular networks , 1998, SIGCOMM '98.