NDLI: Mobile data mining for radio resource management in wireless mobile networks

Content Provider	IEEE Xplore Digital Library
Author	Rashad, S. Kantardzic, M. Kumar, A.
Copyright Year	2004
Description	Author affiliation: CECS Department, JB Speed School of Engineering, University of Louisville, Louisville, KY 40292, USA (Rashad, S.; Kantardzic, M.; Kumar, A.)
Abstract	We have introduced in [15] a predictive call admission control and resource reservation (PCAC-RR) technique for wireless mobile networks. In this technique, the behavior of the user is recorded over a period of time and analyzed to generate the mobility models (profiles) of the users. The generated mobility models are used to predict the future movement of the users in order to perform the call admission and the resource reservation. A local mobility model can be generated for the individual user and a global mobility model can be generated for a group of users. We used the combination between the local and the global mobility models to compare the performance of this technique with other techniques. In this paper, we focus on studying the performance of PCAC-RR technique comparing three types of mobility models: 1) the local mobility model only, 2) the global mobility model only, and 3) the combination between local and global mobility models. Also, in this paper we explain the simulation environment in details and how to study the performance of the presented technique using each of these mobility models. Simulation results show that using the hierarchical structure of local and global mobility models improves the performance significantly.
Starting Page	85
Ending Page	92
File Size	273721
Page Count	8
File Format	PDF
ISBN	0780388232
DOI	10.1109/ICMLA.2004.1383498
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-16
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	resource management Call admission control Computational modeling Quality of service Predictive models Mobile communication wireless networks mobility profiles Data mining Intelligent networks inductive learning mobile computing Bandwidth mobile data mining Resource management Mobile computing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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