Call Admission Control Approaches in Beyond 3G Networks Using Multi Criteria Decision Making

The next generation wireless networks (NGWN) should cater the varied requirements of the user and applications. The Call admission Control (CAC) is one of the radio resource management (RRM) technique used in the wireless networks. Unlike the CAC in homogeneous wireless networks the CAC in next generation wireless networks is very complex. In the next generation heterogeneous wireless networks, a user with a multi-interface terminal may have network access to different service providers using various technologies. This makes call admission control a challenging task where single criteria based CAC algorithms may not be able handle the decision making process efficiently, to address the heterogeneous architectures which characterize next generation wireless network, it is apparent that the call admission control algorithms should be based on multiple criteria. Various approaches have been proposed to solve the call admission control decision problem using multi criteria decision making (MCDM). This article provides a comprehensive survey of the different approaches for Call admission control using multi criteria decision making (MCDM) for incoming calls in heterogeneous wireless networks. The advantages and disadvantages of each approach are discussed.

[1]  Chih-Cheng Hung,et al.  A call admission control scheme using genetic algorithms , 2004, SAC '04.

[2]  Don Towsley,et al.  Personal & wireless communications: digital technology & standards , 1997, MOCO.

[3]  Ray E. Sheriff,et al.  Mobility management incorporating fuzzy logic for a heterogeneous IP environment , 2001, IEEE Commun. Mag..

[4]  K. Shadan,et al.  Available online: , 2012 .

[5]  Mischa Schwartz,et al.  Predictive QoS-based admission control for multiclass traffic in cellular wireless networks , 2000, IEEE Journal on Selected Areas in Communications.

[6]  Bo Li,et al.  Resource management in the next-generation DS-CDMA cellular networks , 2004, IEEE Wirel. Commun..

[7]  Mohamed Hossam Ahmed,et al.  Call admission control in wireless networks: a comprehensive survey , 2005, IEEE Communications Surveys & Tutorials.

[8]  Lei Huang,et al.  Adaptive resource allocation for multimedia QoS management in wireless networks , 2004, IEEE Transactions on Vehicular Technology.

[9]  A. L. Wilson,et al.  Optimising wireless access network selection to maintain QoS in Heterogeneous wireless environments , 2005 .

[10]  Ian F. Akyildiz,et al.  A resource estimation and call admission algorithm for wireless multimedia networks using the shadow cluster concept , 1997, TNET.

[11]  D. Pesch,et al.  Intelligent network access and inter-system handover control in heterogeneous wireless networks for smart space environments , 2004, 1st International Symposium onWireless Communication Systems, 2004..

[12]  Wenhui Zhang,et al.  Handover decision using fuzzy MADM in heterogeneous networks , 2004, 2004 IEEE Wireless Communications and Networking Conference (IEEE Cat. No.04TH8733).

[13]  Gabriel-Miro Muntean,et al.  Utility-based Intelligent Network Selection in Beyond 3G Systems , 2006, 2006 IEEE International Conference on Communications.

[14]  Mahmoud Naghshineh,et al.  Channel assignment schemes for cellular mobile telecommunication systems: A comprehensive survey , 2000, IEEE Communications Surveys & Tutorials.

[15]  Robert G. Akl,et al.  Global versus Local Call Admission Control in CDMA Cellular Networks , 2004 .

[16]  Symeon Papavassiliou,et al.  Integration of Pricing with Call Admission Control to Meet QoS Requirements in Cellular Networks , 2002, IEEE Trans. Parallel Distributed Syst..