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
Link To Document :
بازگشت