Application of support vector machines to bandwidth reservation in sectored cellular communications

Authors:
Chenn-Jung Huang;Wei Kuang Lai;Rui-Lin Luo;You-Lin Yan
Affiliations:
Institute of Learning Technology, National Hualien Teachers College, 123 Huashi, Hualien 97043, Taiwan;Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan;Department of Computer Science, National Tsing Hua University, HsingChu 30055, Taiwan;Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan
Venue:
Engineering Applications of Artificial Intelligence
Year:
2005

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Abstract

Many mechanisms based on bandwidth reservation have been proposed in the literature to decrease connection dropping probability for handoffs in cellular communications. The handoff events occur at a much higher rate in sectored cellular networks than in traditional cellular systems. 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 the sectored cellular communications, particularly when the handoff traffic is heavy. In this paper, a self-adaptive bandwidth reservation scheme, which adopts support vector machines technique, is proposed to reduce the forced termination probability. Meanwhile, a channel-borrowing technique is used to decrease the new call-blocking probability of real-time traffic. The simulation results show that the proposed scheme can achieve superior performance than the representative bandwidth-reserving schemes in sectored cellular networks in the literature when performance metrics are measured in terms of the forced termination probability and the new call- blocking probability.