Managing availability in wireless inter domain access

This paper deals with how the availability of wireless/cellular access networks depend on the cooperation between the operators as well as with transmission network operators and professional land lords. The forthcoming 4G network will consist of diverse sets of wireless/cellular networks integrated into IP-based networks. Mobility, QoS and seamless handover between the networks are key features. In the work of Gustafsson and Jonsson (2003), the concept of always best connected is defined as means that the user is connected through the best available device and access technology at all times. Availability of the access is fundamental for QoS and critical services (e.g. emergency services, health services) are more and more dependent of wireless/mobile access. Availability can be increased by utilization of several accesses through seamless handover and/or multihoming. Usually, the availability has been calculated assuming independencies between the access network operators, but in this paper we show that the actual cooperation between the market actors has significant impact on the availability. We propose a solution by usage of the IMH 802.21 framework to build and distribute network topology information with availability estimates allowing to predict the overall availability for the access networks accessible as one of the criteria for a handover decision.

[1]  E. Gustafsson,et al.  Always best connected , 2003, IEEE Wirel. Commun..

[2]  Chi-Hung Kelvin Chu,et al.  Reliability of next-generation networks with a focus on IMS architecture , 2008, Bell Labs Technical Journal.

[3]  Sung-Gi Min,et al.  Fast Handover Method for mSCTP Using FMIPv6 , 2005, MSN.

[4]  Richard E. Barlow,et al.  Statistical Theory of Reliability and Life Testing: Probability Models , 1976 .

[5]  Ikjun Yeom,et al.  Performance Analysis of Decentralized RAN (Radio Access Network) Discovery Schemes for IEEE 802.21 , 2007, 2007 IEEE 66th Vehicular Technology Conference.

[6]  C.-H.K. Chu,et al.  Enterprise VoIP Reliability , 2006, Networks 2006. 12th International Telecommunications Network Strategy and Planning Symposium.

[7]  Andrew A. Chien,et al.  Evaluating network information models on resource efficiency and application performance in lambda-grids , 2007, Proceedings of the 2007 ACM/IEEE Conference on Supercomputing (SC '07).

[8]  Steven M. Rinaldi,et al.  Modeling and simulating critical infrastructures and their interdependencies , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[9]  Olivier Bonaventure,et al.  Open issues in interdomain routing: a survey , 2005, IEEE Network.

[10]  Nils Kalstad Svendsen,et al.  Graph Models of Critical Infrastructure Interdependencies , 2007, AIMS.

[11]  Andrea Bondavalli,et al.  Service-Level Availability Estimation of GPRS , 2003, IEEE Trans. Mob. Comput..

[12]  David Watson,et al.  An Experimental Study of Internet Path Diversity , 2006, IEEE Transactions on Dependable and Secure Computing.