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

Authors:
Chung-Ju Chang;Li-Chung Kuo;Yih-Shen Chen;Scott Shen
Affiliations:
National Chiao Tung University, Hsinchu, Taiwan;National Chiao Tung University, Hsinchu, Taiwan;National Chiao Tung University, Hsinchu, Taiwan;National Chiao Tung University, Hsinchu, Taiwan
Venue:
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Year:
2006

Citing 4
Cited 3

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Wireless access to the World Wide Web in an integrated CDMA system

IEEE Transactions on Wireless Communications
Intelligent call admission control for wideband CDMA cellular systems

IEEE Transactions on Wireless Communications
Quality of service for multimedia CDMA

IEEE Communications Magazine

An evolutionary approach to velocity and traffic sensitive call admission control

Intelligent Decision Technologies
Review Article: Applications of neuro fuzzy systems: A brief review and future outline

Applied Soft Computing
Automatic call management in a cellular mobile network by fuzzy threshold logic

International Journal of Knowledge-based and Intelligent Engineering Systems - Intelligent Information Processing: Techniques and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

The paper proposes a neural fuzzy call admission and rate controller (NFARC) scheme for WCDMA cellular systems providing multirate services. The NFARC scheme can guarantee the quality of service (QoS) requirements and improve the utilization of the system. Simulation results show that the NFARC scheme achieves low forced termination probability and high system capacity even in the bursty traffic conditions. NFARC accepts users more than intelligent call admission controller (ICAC) by an amount of 45.35%.