Simulating computer systems: techniques and tools
Simulating computer systems: techniques and tools
2-D Shape Classification Using Hidden Markov Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dynamic Priority Handoff Scheme in Differentiated QoS Wireless Multimedia Networks
ISCC '03 Proceedings of the Eighth IEEE International Symposium on Computers and Communications
The predictive user mobility profile framework for wireless multimedia networks
IEEE/ACM Transactions on Networking (TON)
The Mold Mobility Model for Mobile Wireless Networks
WICON '05 Proceedings of the First International Conference on Wireless Internet
QoS-guaranteed call admission scheme for broadband multiservices mobile wireless networks
ISCC '04 Proceedings of the Ninth International Symposium on Computers and Communications 2004 Volume 2 (ISCC"04) - Volume 02
Generalized hidden Markov models. I. Theoretical frameworks
IEEE Transactions on Fuzzy Systems
Dynamic channel reservation based on mobility in wireless ATM networks
IEEE Communications Magazine
Dynamic-Grouping bandwidth reservation scheme for multimedia wireless networks
IEEE Journal on Selected Areas in Communications
A hierarchical prediction model for two nodes-based IP mobile networks
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
A new Markov-based mobility prediction algorithm for mobile networks
EPEW'10 Proceedings of the 7th European performance engineering conference on Computer performance engineering
Local martingale difference approach for service selection with dynamic QoS
Computers & Mathematics with Applications
Location Prediction Based on a Sector Snapshot for Location-Based Services
Journal of Network and Systems Management
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With the increase in data transmission for wireless networks, multimedia services are gaining popularity in next-generation cellular networks. If the appropriate information exists for Call admission control (CAC) schemes, the terms of quality of service (QoS), such as call dropping probability (CDP), and call blocking probability (CBP) will be kept as low as possible, and higher system utilization can be achieved. Unfortunately, it is difficult to obtain such information owing to user indeterminate mobility. In this paper, the proposed scheme reduces the CDP with a statistical method, called Hidden Markov Models (HMM), that is suitable for solving a dynamic situation has been introduced and applied to the CAC scheme. The prediction of user mobility can be modeled and solved as an optimal-state sequence problem for the HMM. The proposed CAC method that adopts the prediction result of user mobility can reserve appropriate bandwidths for a handoff call in advance, thus, the CDP will be kept below a lower level. Moreover, the throttle flag that indicates the usage of bandwidth in each cell is proposed to prevent the new call request from being dropped in the adjacent cells if handoff is needed, and then the CDP will be further lowered. Besides, the CBP will also be kept relatively low since the proposed method can reserve the suitable bandwidths in the appropriate cells but not reserve stationary ones which are always adopted by traditional CAC methods for each cell. The simulation results show that the proposed method can meet CDP and CBP requirements, and the system utilization can also be improved.