DocumentCode :
428308
Title :
Fair multi-services call admission in cellular networks using stochastic control
Author :
Liu, Gan ; Zhu, Guangxi ; He, Yejun ; Lang, Weimin ; Wu, Weimin
Author_Institution :
Dept. of Electron. & Inf. Eng, Huazhong Univ. of Sci. & Technol., China
Volume :
4
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
2554
Abstract :
With the handoff occurring more and more frequently in cellular networks, an effective call admission control is increasingly urgent for optimum utility of valuable bandwidth. Recently, the dynamic call admission mechanism using stochastic control was found to be more stable and precise. But, it is still hard to get an effective dynamic call admission mechanism for multi-services. The main challenges with multiple types of traffic are that each has its own requirements of bandwidth, QoS guarantee and handoff rate, especially for data call types. In this paper, we use a buffer to regulate the data type traffic and use the proposed 1D stochastic model to compute the key parameters, such as call dropping probability and admission probability, considering fairness among multi-services. The result is decreased computational complexity. Numerical results of simulation show that the proposed scheme, named FDCA (fair dynamic call admission scheme), steadily satisfies the hard constraints on call dropping probability for multi-services while maintaining a very high channel throughput.
Keywords :
IntServ networks; buffer storage; cellular radio; multimedia communication; quality of service; stochastic systems; telecommunication congestion control; 1D stochastic model; FDCA; QoS guarantee; admission probability; call admission control; call bandwidth requirements; call dropping probability; cellular network handoff; channel throughput; data traffic buffer; dynamic stochastic control; fair dynamic call admission scheme; fair multiservices call admission; handoff rate; multimedia traffic; Admission control; Bandwidth; Call admission control; Computational complexity; Computational modeling; Intelligent networks; Land mobile radio cellular systems; Stochastic processes; Traffic control; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1400517
Filename :
1400517
Link To Document :
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