NDLI: WPBR: Weekly prediction based bandwidth reservation scheme for macrocellular wireless networks in urban areas

Content Provider	IEEE Xplore Digital Library
Author	Amani, A. Pedram, H.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Eng. & Inf. Technol., Amirkabir Univ. of Technol., Tehran, Iran (Amani, A.; Pedram, H.)
Abstract	One of the major challenges in the cellular networks is to guarantee the quality of service of the ongoing calls by prioritizing them over the new calls. An operative approach to prioritize the hand off calls over the new calls is by reserving bandwidth for the ongoing calls of mobile stations in the potential next cell that they may visit. Improving the prediction of potential next cell that a mobile station may visit will cause better bandwidth utilization. In this paper, we propose weekly prediction based bandwidth reservation scheme. The proposed scheme, WPBR, improves prediction by means of storing weekly movement probabilities of mobile station based on Markov modeling techniques. In order to decreasing the storage space that is needed for storing the mobile station's movement probabilities, we adopted a dynamic hashing approach. Simulation results show that the weekly prediction in the proposed scheme, significantly improves bandwidth utilization, and the adopted dynamic hashing approach caused the overhead of storage space to be acceptable.
Starting Page	79
Ending Page	87
File Size	1895824
Page Count	9
File Format	PDF
ISBN	9781467331487
ISSN	17389445
e-ISBN	9788996865018
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-27
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	GIRI
Subject Keyword	Markov processes Predictive models Bandwidth Indexes Quality of service Dynamic Hashing Macrocellular Wireless Networks Bandwidth Reservation Mobility Prediction Markov Modeling Techniques
Content Type	Text
Resource Type	Article

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