Browsing by Author "Alrajeh, Nabil"

Now showing 1 - 3 of 3

MOBILITY MANAGEMENT OF UNICAST SERVICES FOR WIRELESS ACCESS IN VEHICULAR ENVIRONMENTS
(2012-04-01)
Huang-Fu, Chien-Chun
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Lin, Yi-Bing
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Alrajeh, Nabil
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資訊學院
;
資訊工程學系
Wireless Access in Vehicular Environments (WAVE) provides seamless and interoperable services for vehicles. In WAVE, the WAVE Short Message Protocol (WSMP) provides broadcast services but does not define unicast/multicast services that require mobility management to track the locations of the vehicles. To resolve this issue, this article proposes a location estimation-based mobility management mechanism by utilizing positioning systems (e.g., GPS) for a WAVE system deployed in highway environment with a large volume of high-speed vehicles. Performance study indicates that under the same paging cost, our approach can reduce 40-90 percent of the network traffic as compared with the traditional cellular mobility management approach.
PERFORMANCE MEASUREMENTS OF TD-LTE, WIMAX AND 3G SYSTEMS
(2013-06-01)
Lin, Yi-Bing
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Lin, Pin-Jen
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Sung, Yingrong Coral
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Chen, Yuan-Kai
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Chen, Whai-En
Long Term Evolution (LTE) and Worldwide Interoperability for Microwave Access (WiMAX) are two major technologies toward next-generation mobile broadband standards, which are both expected to provide higher throughput and lower transmission latency for mobile users. This article measures and compares the latency and the throughput of Time Division - Long Term Evolution (TD-LTE), WiMAX, and third-generation (3G) systems based on several technical trials. Our quantitative measures and comparisons provide guidelines for the operators to deploy their future networks.
Predicting Human Movement Based on Telecom's Handoff in Mobile Networks
(2013-06-01)
Lin, Yi-Bing
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Huang-Fu, Chien-Chun
;
Alrajeh, Nabil
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資訊工程學系
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Department of Computer Science
Investigating human movement behavior is important for studying issues such as prediction of vehicle traffic and spread of contagious diseases. Since mobile telecom network can efficiently monitor the movement of mobile users, the telecom's mobility management is an ideal mechanism for studying human movement issues. The problem can be abstracted as follows: What is the probability that a person at location A will move to location B after T hours. The answer cannot be directly obtained because commercial telecom networks do not exactly trace the movement history of every mobile user. In this paper, we show how to use the standard outputs (handover rates, call arrival rates, call holding time, and call traffic) measured in a mobile telecom network to derive the answer for this problem.