2011, 1(4): 627-638. doi: 10.3934/naco.2011.1.627

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

1. 

Convergence Technology Department, Central R&D Laboratories, KT, Seoul, South Korea

2. 

Department of Mathematics and Telecommunication Mathematics Research Center, Korea University, Seoul, South Korea, South Korea, South Korea

Received  May 2011 Revised  August 2011 Published  November 2011

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.
Citation: Jin Soo Park, Kyung Jae Kim, Yun Han Bae, Bong Dae Choi. Admission control by dynamic bandwidth reservation using road layout and bidirectional navigator in wireless multimedia networks. Numerical Algebra, Control & Optimization, 2011, 1 (4) : 627-638. doi: 10.3934/naco.2011.1.627
References:
[1]

A. Aljadhai and T. Znati, Predictive mobility support for QoS provisioning in mobile wireless environments,, IEEE Journal of Selected Areas Communications, 19 (2001), 1915. doi: 10.1109/49.957307.

[2]

L. Barolli, G. Mino, T. Ikebata, A. Barolli, F. Xhafa and M. Takizawa, Performance Evaluation and Comparison of Fuzzy-Based Intelligent CAC Systems for Wireless Cellular Networks,, Intelligent Networking and Collaborative Systems, (2010), 177.

[3]

S. Choi and K. Shin, Predictive and adaptive bandwidth reservation for handoffs in QoS-sensitive cellular networks,, ACM SIGCOMM, (1998), 155.

[4]

J. Gimenez-Guzman, J. Martinez-Bauset and V. Pla, Optimal admission control in multimedia mobile networks with handover prediction,, IEEE Wireless Communications, (2008), 38.

[5]

D. Hong and S. Rappaport, Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedure,, IEEE Transactions on Vehicular Technology, VT-35 (1986), 77. doi: 10.1109/T-VT.1986.24076.

[6]

S. Intarasothonchun, S. Thipchaksurat and R. Varakulsiripunth, Effect of Shadow Cluster on Predictive User Mobility Behavior Scheme in Cellular Networks,, Fourth International Conference on Computer Sciences and Convergence Information Technology, (2009), 835. doi: 10.1109/ICCIT.2009.199.

[7]

D. Levine, I. Akyildiz and M. Naghshineh, A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept,, IEEE/ACM Transactions on Networking, 5 (1997), 1. doi: 10.1109/90.554717.

[8]

F. Rango, P. Fazio and S. Marano, Utility-Based Predictive Services for Adaptive Wireless Networks With Mobile Hosts,, IEEE Transactions on Vehicular Technology, 58 (2009), 1415.

[9]

W. Soh and H. Kim, QoS Provisioning in Cellular Networks Based on Mobility Prediction Techniques,, IEEE Communications Magazine, 41 (2003), 86. doi: 10.1109/MCOM.2003.1166661.

[10]

W. Soh and H. Kim, Dynamic Bandwidth Reservation in Cellular Networks Using Road Topology Based Mobility Predictions,, IEEE Infocom, 4 (2004), 2766.

[11]

W. Soh and H. Kim, A Predictive Bandwidth Reservation Scheme Using Mobile Positioning and Road Topology Information,, IEEE/ACM Transactions on Networking, 14 (2006), 1078. doi: 10.1109/TNET.2006.882899.

[12]

Y. Su, R. Wu, R. Li, W. Duan and J. Luo, A Novel Measurement-based Call Admission Control Algorithm for Wireless Mobility Networks under Practical Mobility Model,, International Conference on Communications and Mobile Computing, (2010). doi: 10.1109/CMC.2010.226.

[13]

G. Tsiropoulos, D. Stratogiannis, P. Cottis, T. Lagkas and P. Chatzimisios, Adaptive Resource Allocation and Dynamic Call Admission Control in Wireless Networks,, GLOBECOM, (2010), 1217.

show all references

References:
[1]

A. Aljadhai and T. Znati, Predictive mobility support for QoS provisioning in mobile wireless environments,, IEEE Journal of Selected Areas Communications, 19 (2001), 1915. doi: 10.1109/49.957307.

[2]

L. Barolli, G. Mino, T. Ikebata, A. Barolli, F. Xhafa and M. Takizawa, Performance Evaluation and Comparison of Fuzzy-Based Intelligent CAC Systems for Wireless Cellular Networks,, Intelligent Networking and Collaborative Systems, (2010), 177.

[3]

S. Choi and K. Shin, Predictive and adaptive bandwidth reservation for handoffs in QoS-sensitive cellular networks,, ACM SIGCOMM, (1998), 155.

[4]

J. Gimenez-Guzman, J. Martinez-Bauset and V. Pla, Optimal admission control in multimedia mobile networks with handover prediction,, IEEE Wireless Communications, (2008), 38.

[5]

D. Hong and S. Rappaport, Traffic model and performance analysis for cellular mobile radio telephone systems with prioritized and nonprioritized handoff procedure,, IEEE Transactions on Vehicular Technology, VT-35 (1986), 77. doi: 10.1109/T-VT.1986.24076.

[6]

S. Intarasothonchun, S. Thipchaksurat and R. Varakulsiripunth, Effect of Shadow Cluster on Predictive User Mobility Behavior Scheme in Cellular Networks,, Fourth International Conference on Computer Sciences and Convergence Information Technology, (2009), 835. doi: 10.1109/ICCIT.2009.199.

[7]

D. Levine, I. Akyildiz and M. Naghshineh, A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept,, IEEE/ACM Transactions on Networking, 5 (1997), 1. doi: 10.1109/90.554717.

[8]

F. Rango, P. Fazio and S. Marano, Utility-Based Predictive Services for Adaptive Wireless Networks With Mobile Hosts,, IEEE Transactions on Vehicular Technology, 58 (2009), 1415.

[9]

W. Soh and H. Kim, QoS Provisioning in Cellular Networks Based on Mobility Prediction Techniques,, IEEE Communications Magazine, 41 (2003), 86. doi: 10.1109/MCOM.2003.1166661.

[10]

W. Soh and H. Kim, Dynamic Bandwidth Reservation in Cellular Networks Using Road Topology Based Mobility Predictions,, IEEE Infocom, 4 (2004), 2766.

[11]

W. Soh and H. Kim, A Predictive Bandwidth Reservation Scheme Using Mobile Positioning and Road Topology Information,, IEEE/ACM Transactions on Networking, 14 (2006), 1078. doi: 10.1109/TNET.2006.882899.

[12]

Y. Su, R. Wu, R. Li, W. Duan and J. Luo, A Novel Measurement-based Call Admission Control Algorithm for Wireless Mobility Networks under Practical Mobility Model,, International Conference on Communications and Mobile Computing, (2010). doi: 10.1109/CMC.2010.226.

[13]

G. Tsiropoulos, D. Stratogiannis, P. Cottis, T. Lagkas and P. Chatzimisios, Adaptive Resource Allocation and Dynamic Call Admission Control in Wireless Networks,, GLOBECOM, (2010), 1217.

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