DocumentCode :
1435953
Title :
Handoff algorithms based on fuzzy classifiers
Author :
Maturino-Lozoya, Héctor ; Muñoz-Rodríguez, David ; Jaimes-Romera, F. ; Tawfik, Hazem
Author_Institution :
Nortel, Richardson, TX, USA
Volume :
49
Issue :
6
fYear :
2000
fDate :
11/1/2000 12:00:00 AM
Firstpage :
2286
Lastpage :
2294
Abstract :
One method to increase capacity in mobile communications systems is to decrease the cell size or service area. However, due to this area reduction, a mobile will pass through more cells during a call. To maintain the reliability of the system, the success rate of call transfers must increase as the cell area diminishes, preventing a ping-pong effect. Hence new and better handoff algorithms must be developed. Fuzzy classifier schemes are proposed in this paper in order to select the base stations that will best serve mobiles in a typical cellular system. The performance of handoff algorithms based on different classification techniques is discussed and evaluated through digital simulation. The results show better cell definition than the conventional handoff approach. For large-variance propagation channels, a reduction in the handoff number can be achieved. The applicability of the proposed methodology is also discussed
Keywords :
cellular radio; fuzzy set theory; pattern recognition; signal classification; telecommunication channels; base stations; call transfer success rate; capacity; cell area; cell definition; cell size reduction; cellular system; classification techniques; digital simulation; fuzzy classifiers; fuzzy-set theory; handoff algorithms; large-variance propagation channels; membership functions; mobile communications systems; pattern recognition algorithms; service area reduction; simulation results; system reliability; Base stations; Classification algorithms; Digital simulation; Fuzzy set theory; Fuzzy systems; Maintenance; Microcell networks; Mobile communication; Pattern recognition; Telecommunications;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/25.901898
Filename :
901898
Link To Document :
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