• The KIPS Transactions:PartC
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• v.13C no.2 s.105
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• pp.227-234
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• 2006

In this paper, we propose a window based resource reservation scheme to minimize an waste bandwidth due to resource reservation in mobile networks. Specially, this scheme decides a proper timing to reserve resource by using the number of movement, which is provided by the differentiated handoff estimation model, among inner regions. In the previous resource reservation scheme[6], it requests a resource reservation to neighboring cells as soon as a mobile host enters or creates into a cell. But, after a proper time based on the number of movements in the differentiated handoff estimation model passes, the proposed scheme requests a resource reservation to neighboring cells. Because of this reason, it can improve resource utilization on mobile networks. And, this scheme differentiates resource reservation according to a request ratio for resource reservation to each neighboring cell. Also, this scheme improves resource reservation acceptance rate and bandwidth utilization.

• The KIPS Transactions:PartC
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• v.9C no.3
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• pp.385-398
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• 2002

To accommodate the increasing number of mobile terminals in the limited radio spectrum, wireless systems have been designed as micro/picocellular architectures for a higher capacity. This reduced coverage area of a cell has caused a higher rate of hand-off events, and the hand-off technology for efficient process becomes a necessity to provide a stable service. Population-based Bandwidth Reservation(PBR) Scheme is proposed to provide prioritized handling for hand-off calls by dynamically adjusting the amount of reserved bandwidth of a cell according to the amount of cellular traffic in its neighboring cells. We analyze the performance of the PBR scheme according to the changes of a fractional parameter, f, which is the ratio of request reservation to the total amount of bandwidth units required for hand-off calls that will occur for the next period. The vague of this parameter, f should be determined based on QoS(Quality of Service) requirement. To meet the requirement the value of Parameter(f) must be able to be adjusted dynamically according to the changing traffic conditions. The best value of f can be determined by a function of the average speed of mobile stations, average call duration, cell size, and so on. This paper considers the average call duration and the cell size according to the speed of mobile stations. Although some difference exists as per speed, in the range of 0.4 $\leq$ f $\leq$ 0.6, Blocking Probability, Dropping Probability and Utilization show the best values.