DocumentCode
2456063
Title
An adaptive resource reservation scheme for sectored cellular communications using support vector machines
Author
Huang, Cheun-Jung ; Chang, Chih Cheng ; Lai, Wei Knang ; Luo, Rui-Lin
Author_Institution
Inst. of Learning Technol., Nat. Hualien Teachers Coll., Taiwan
fYear
2004
fDate
2-4 Sept. 2004
Firstpage
102
Lastpage
107
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 our scheme can achieve superior performance than traditional fixed bandwidth-reserving scheme in sectored cellular networks when performance metrics are measured in terms of the forced termination probability and the new call blocking probability.
Keywords
adaptive systems; cellular radio; support vector machines; adaptive resource reservation scheme; call blocking probability; channel borrowing technique; connection dropping probability; forced termination probability; handoff events; sectored cellular communications; self-adaptive bandwidth reservation scheme; support vector machines; support vector machines technique; Bandwidth; Cellular networks; Educational institutions; Land mobile radio cellular systems; Machine learning; Network topology; Roads; Support vector machines; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 2004. Proceedings of the 2004 IEEE International Symposium on
ISSN
2158-9860
Print_ISBN
0-7803-8635-3
Type
conf
DOI
10.1109/ISIC.2004.1387666
Filename
1387666
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