Sciweavers

Share
CORR
2010
Springer

A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks

9 years 10 months ago
A QoS Provisioning Recurrent Neural Network based Call Admission Control for beyond 3G Networks
The Call admission control (CAC) is one of the Radio Resource Management (RRM) techniques that plays influential role in ensuring the desired Quality of Service (QoS) to the users and applications in next generation networks. This paper proposes a fuzzy neural approach for making the call admission control decision in multi class traffic based Next Generation Wireless Networks (NGWN). The proposed Fuzzy Neural call admission control (FNCAC) scheme is an integrated CAC module that combines the linguistic control capabilities of the fuzzy logic controller and the learning capabilities of the neural networks. The model is based on recurrent radial basis function networks which have better learning and adaptability that can be used to develop intelligent system to handle the incoming traffic in an heterogeneous network environment. The simulation results are optimistic and indicates that the proposed FNCAC algorithm performs better than the other two methods and the call blocking probabil...
H. S. Ramesh Babu, Gowrishankar, P. S. Satyanaraya
Added 01 Feb 2011
Updated 01 Feb 2011
Type Journal
Year 2010
Where CORR
Authors H. S. Ramesh Babu, Gowrishankar, P. S. Satyanarayana
Comments (0)
books