Mobile Network Optimization Using Fuzzy Case-Based Reasoning for GSM

Author

Ma, Zeng ; Hu, Jun ; Zhao, Shi ; Huang, Jialun

Author_Institution

Navy Submarine Acad., Qingdao, China

fYear

2009

fDate

7-9 July 2009

Firstpage

461

Lastpage

464

Abstract

One of the performance issues that has come to light upon study of field data from deployed GSM networks is the occurrence of call-drop due to slow handoff since the reverse link messages can not be delivered to the mobile terminal. It is hard to develop an accurate mathematical model for call-drop. In this paper, A new way is recommended by combining the fuzzy case-based reasoning (CBR) with the mechanism of call-drop. By this way the experience of dealing with the fault about call-drop can be grasped more profoundly from lots of historical process data so as to build a case database which summaries typical fault about call-drop. The retrieval, reuse, revision and store of those cases are discussed in CBR. The simulation analysis actually proves the effectiveness of the approach.

Keywords

case-based reasoning; cellular radio; telecommunication computing; GSM networks; call-drop occurrence; fuzzy case-based reasoning; mobile network optimization; mobile terminal; reverse link messages; Base stations; Computer networks; Conferences; Control systems; Fuzzy reasoning; Fuzzy systems; GSM; Inference algorithms; Military computing; Pervasive computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Ubiquitous, Autonomic and Trusted Computing, 2009. UIC-ATC '09. Symposia and Workshops on

Conference_Location

Brisbane, QLD

Print_ISBN

978-1-4244-4902-6

Electronic_ISBN

978-0-7695-3737-5

Type

conf

DOI

10.1109/UIC-ATC.2009.70

Filename

5319194