Neural fuzzy call admission and rate controller for WCDMA cellular systems providing multirate services

Chang, Chung‐Ju; Kuo, Li-Chung; Chen, Yih-Shen; Shen, S.

doi:10.1145/1143549.1143626

Cited by 13 publications

(2 citation statements)

References 7 publications

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“…For training of the model, backpropogation algorithm has been used. The training continues until the sum of squared errors is less than 0.001 [7].…”

Section: Training Of Asnfcmentioning

confidence: 99%

A Soft Computing Based Adaptive Call Admission Control Scheme for Bi-Class Traffic in CDMA Cellular Network

Sindal¹,

Tokekar²

2012

IJCA

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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 voice and data calls is considered in this paper. The model proposed in this paper is for data and voice services (Bi-class). It is based on reservation for handoff voice and data calls along with call queuing scheme for handoff data calls. Preemptive priority scheme is used for handoff voice calls over ongoing data calls. Upper channel limits 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 accommodate important voice and data calls. The proposed ASNFC controller is compared with the two variants of Bi-class CAC scheme.

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“…For training of the model, backpropogation algorithm has been used. The training continues until the sum of squared errors is less than 0.001 [7].…”

Section: Training Of Asnfcmentioning

confidence: 99%

A Soft Computing Based Adaptive Call Admission Control Scheme for Bi-Class Traffic in CDMA Cellular Network

Sindal¹,

Tokekar²

2012

IJCA

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“…Its results have substantiated solving the call admission control problem with the neural network approach. But better results could be obtained by using a hybrid approach, proposed in [16]. In [17] genetic algorithms have been proposed to be applied for optimization of the call admission problem that led to better user's satisfaction [18].…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Approach to Call Admission Control in 5G Networks

Al‐Maitah

Семенова

Семенов

et al. 2018

Advances in Fuzzy Systems

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Artificial intelligence is employed for solving complex scientific, technical, and practical problems. Such artificial intelligence techniques as neural networks, fuzzy systems, and genetic and evolutionary algorithms are widely used for communication systems management, optimization, and prediction. Artificial intelligence approach provides optimized results in a challenging task of call admission control, handover, routing, and traffic prediction in cellular networks. 5G mobile communications are designed as heterogeneous networks, whose important requirement is accommodating great numbers of users and the quality of service satisfaction. Call admission control plays a significant role in providing the desired quality of service. An effective call admission control algorithm is needed for optimizing the cellular network system. Many call admission control schemes have been proposed. The paper proposes a methodology for developing a genetic neurofuzzy controller for call admission in 5G networks. Performance of the proposed admission control is evaluated through computer simulation.

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An Overview of Call Admission Control in Mobile Cellular Networks

Ghosh

Konar

2013

Studies in Computational Intelligence

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Neural fuzzy call admission and rate controller for WCDMA cellular systems providing multirate services

Cited by 13 publications

References 7 publications

A Soft Computing Based Adaptive Call Admission Control Scheme for Bi-Class Traffic in CDMA Cellular Network

A Soft Computing Based Adaptive Call Admission Control Scheme for Bi-Class Traffic in CDMA Cellular Network

A Hybrid Approach to Call Admission Control in 5G Networks

An Overview of Call Admission Control in Mobile Cellular Networks

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