A Neuro-Fuzzy Call Admission Control Algorithm for Voice/Data Traffic in CDMA Cellular Network

Soft handoff in CDMA cellular system increases system capacity as compared to hard handoff as interference is reduced by transmitting signals as lower power level. A CDMA cellular system involving integrated voice and data calls is considered in this paper. The developed model is based on priority r...

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Bibliographic Details
Main Authors: Sindal, R., Tokekar, S.
Format: Conference Proceeding
Language:English
Subjects:
Call admission control
Communication system traffic control
Condition monitoring
Control systems
Interference
Land mobile radio cellular systems
Multiaccess communication
Power system modeling
Resource management
Traffic control
Online Access:Request full text
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Summary:Soft handoff in CDMA cellular system increases system capacity as compared to hard handoff as interference is reduced by transmitting signals as lower power level. A CDMA cellular system involving integrated voice and data calls is considered in this paper. The developed model is based on priority reservation for handoff voice and data calls along with call queuing scheme for handoff data calls. Upper channel restrictions are set for new voice as well as data calls to give priority to handoff calls. For better resource management and efficient call admission to originating and handoff calls, Neuro-fuzzy call admission controller is designed. This controller uses the adaptable feature of soft handoff threshold parameters to house important voice and data calls by monitoring current new voice blocking probability, handoff data dropping probability and speed of handoff voice users. The proposed ASNFC controller is compared with non-Call admission control scheme for required QoS of the system.
DOI:10.1109/IADCC.2009.4809122