DocumentCode :
2310385
Title :
Resource Management for Cellular Network Using Socially Intelligent Multi Agent System
Author :
Karani, Mamal ; Giri, Nupur ; Bodhe, Shrikant
Author_Institution :
Comput. Eng. Dept., VESIT, Mumbai, India
fYear :
2010
fDate :
12-13 March 2010
Firstpage :
231
Lastpage :
233
Abstract :
Channel borrowing schemes are used to increase the utility of the system in terms of cell-level quality of service parameters and reduce congestion in cellular system. Multi Agent based interaction helps in doing so in coordinated ways. This paper investigates the effectiveness of Multi Agent based social reasoning strategies, which not only maximize the utility but also balance utility of individual cells and thus work towards enhancing the social welfare of the network.
Keywords :
cellular radio; channel allocation; multi-agent systems; quality of service; telecommunication computing; telecommunication congestion control; cell-level quality of service; cellular network; channel borrowing; congestion reduction; resource management; social welfare; socially intelligent multi-agent system; Attitude control; Computer networks; Educational institutions; Intelligent agent; Intelligent networks; Intelligent systems; Land mobile radio cellular systems; Quality of service; Resource management; Telecommunication computing; Channel Borrowing; Multi Agent System; Social welfare;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Trends in Information, Telecommunication and Computing (ITC), 2010 International Conference on
Conference_Location :
Kochi, Kerala
Print_ISBN :
978-1-4244-5956-8
Type :
conf
DOI :
10.1109/ITC.2010.73
Filename :
5460542
Link To Document :
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