International Journal of Advance Computational Engineering and Networking (IJACEN)
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  Journal Paper

Paper Title :
A Prediction Based Bandwidth Reservation Scheme for Heterogeneous Wireless Networks

Author :Chenn-Jung Huang, Chih-Tai Guan, Heng-Ming Chen

Article Citation :Chenn-Jung Huang ,Chih-Tai Guan ,Heng-Ming Chen , (2017 ) " A Prediction Based Bandwidth Reservation Scheme for Heterogeneous Wireless Networks " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 76-83, Volume-5,Issue-11

Abstract : Many mechanisms based on bandwidth reservation have been proposed in the literature to decrease connection dropping probability for handoffs in wireless communications. The handoff events occur at a much higher rate in heterogeneous wireless networks than in traditional cellular systems. In order to properly distribute wireless network resources among different clients, this work proposed a user mobility algorithm prediction algorithm, which takes the coverage of different kinds of base stations. An efficient bandwidth reservation mechanism for the neighboring cells is therefore critical in the process of handoff during the connection of multimedia calls to avoid the unwillingly forced termination and waste of limited bandwidth in heterogeneous wireless networks, particularly when the handoff traffic is heavy. In this paper, a self-adaptive bandwidth reservation schemes, which adopts a probabilistic mobility prediction model and fuzzy logic to estimate the bandwidth required in neighboring cells, is proposed to reduce the forced termination probability of multimedia handoffs. The simulation results show that the proposed scheme can achieve superior performance than the representative bandwidth-reserving schemes in the literature when performance metrics are measured in terms of the forced termination probability for the handoffs, the call blocking probability for the new connections and bandwidth utilization. Index Terms- Bandwidth reservation, handoff, fuzzy logic, heterogeneous wireless networks, probabilistic mobility prediction, quality of service

Type : Research paper

Published : Volume-5,Issue-11


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