Browsing by Author "Chen, W"

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Dynamic resource assignment strategies for PCS data services
(1998-08-01)
Jeng, JY
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Lin, YB
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Chen, W
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資訊工程學系
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Department of Computer Science
For high speed mobile communication applications, the data rate can be increased by using multiple channels (or time slots) instead of a single channel (or time slot). To reduce the high blocking rate of multiple channels assignment, flexible resource allocation strategies are exercised. This paper proposes a generic Mobile Switching Center (MSC) resource allocation algorithm called MRA algorithm for Personal Communications Services (PCS) data services. The algorithm may combine with any base station resource allocation algorithms proposed in our previous study. A simulation model is proposed to investigate the performance of these algorithms. We define satisfaction indication SI to measure the performance of the resource allocation. SI indicates the customer's satisfaction about the call connection, it can also be used by the service provider as a charge indication. (C) 1998 Published by Elsevier Science Inc. All rights reserved.
Impact of busy lines and mobility on call blocking in a PCS network
(1996-01-01)
Lin, YB
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Chen, W
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交大名義發表
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資訊工程學系
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National Chiao Tung University
Several analytical models have been proposed to study the blocking probability for personal communications service networks or mobile phone networks. These models cannot accurately predict the blocking probability because they do not capture two important features. First, they do not capture the busy-line effect. Even if a cell has free channels, incoming and outgoing calls must be dropped when the destination portable is already in a conversation. Second, they do not capture the mobility of individual portables. In these models, mobility is addressed by net hand-off traffic to a cell, which results in traffic with a smaller variance to a cell compared with the true situation. We propose a new analytic model which addresses both the busy-line effect and individual portable mobility. Furthermore, our model can be used to derive the portable population distribution in a cell. The model is validated against the simulation experiments. We indicate that the previously proposed models approximate a special case of our model where the number of portables in a cell is 40 times larger than the number of channels.