Analysis of Distributed Intelligent Agent Model for QoS Dynamic Scheme in GSM/GPRS Network

Author

Yang, Yan ; Zhu, Gang ; Zhang, Xiaojin ; Zhong, Zhangdui

Author_Institution

State Key Lab of Rail Traffic Control&Safty, Beijing Jiaotong Univ.

Volume

1

fYear

2006

fDate

Nov. 2006

Firstpage

554

Lastpage

557

Abstract

In this paper we study dynamic quality of service scheme in GSM/GPRS wireless network. A load balancing architecture constructed by distributed intelligent agent has been presented to support real time or burst data services. Fuzzy neural network was employed to predict GPRS traffic by learning examples. Meanwhile, we have presented a traffic estimation algorithm and a simple decision mechanism to deal with special applications such as burst data transmission. The simulation shows that distributed intelligent agent architecture could significantly reduce packet delay, route cost and relieve GPRS bottleneck

Keywords

data communication; fuzzy neural nets; learning by example; packet radio networks; quality of service; radio access networks; resource allocation; software agents; GPRS traffic prediction; GSM/GPRS wireless network; General Packet Radio Service; QoS dynamic scheme; burst data service; burst data transmission; decision mechanism; distributed intelligent agent architecture; distributed intelligent agent model; dynamic quality of service; fuzzy neural network; global system for mobile communication; learning by example; load balancing architecture; packet delay reduction; route cost reduction; traffic estimation algorithm; Data communication; Fuzzy neural networks; GSM; Ground penetrating radar; Intelligent agent; Load management; Quality of service; Telecommunication traffic; Traffic control; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Security, 2006 International Conference on

Conference_Location

Guangzhou

Print_ISBN

1-4244-0605-6

Electronic_ISBN

1-4244-0605-6

Type

conf

DOI

10.1109/ICCIAS.2006.294196

Filename

4072149