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Comparative Evaluation of Soft Computing Techniques in Intersystem Handoff Algorithms

Author(s):

Rubi , SSGI (Kurukshetra University,KUK); Anuradha Panjeta, KUK

Keywords:

Handoff, Intersystem Handoff, Fuzzy system, Neural System, Soft Computing Techniques

Abstract

This paper presents the work carried out in the field of inter-system handovers. Handoff in cellular systems is a complex problem. Handoff is to be initiated and executed at an appropriate time so as to ensure the quality of service (QoS). The future communication depends upon many types of co-existing mobile communication Systems/Networks normally GSM Networks, WCDMA Networks, Satellite communication based networks, intelligent transportation systems, high altitude stratospheric platform systems (HAPS). An early HO can cause ping pong effect whereas a late one can cause QoS to degrade or even cause the call to drop. In this paper, there is discussion about the various soft computing handoff techniques like Fuzzy System , Neural Network etc. The network designer has to ensure that while a handoff is initiated to ensure QoS, he has to keep the rate of handoff to minimum, thereby reducing the burden on the network while still maintaining the QoS. Under such conflicting requirements, an intelligent HO system is the need that reduces the HO rate to minimum required while maintaining QoS.

Other Details

Paper ID: IJSRDV3I31335
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 3110-3114

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