An Strategy for interworking between WLAN and cdma2000

1. An Strategy for interworking between WLAN and cdma2000 Young J. Lee, Kookmin University Jin H. Lee, Kyungbook University Yeong M. Jang, Kookmin University Gi J. Jeon, Kyungbook University Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

2. Introduction • WLAN • High data bandwidth • Less mobility • 3G • Low data bandwidth • Support mobility • Interworking of two networks • The performance and flexibility of wireless data services would be dramatically improved • Issues • Seamless Handoff • Adaptive selection between two networks Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

3. Interworking approach • Loosely coupling • Independent deployment and traffic engineering of WLAN and 3G networks • We considered this approach to integration architecture • Tightly coupling • WLAN network act as another 3G access network • By injecting the WLAN traffic directly into the 3G core, the setup of the entire network, as well as the configuration and the design of network elements such as PDSNs have to be modified to sustain the increase load. Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

4. Phase approach • Phase 0 • Interworking at billing and management of customers both cdma2000 and WLAN • Phase 1 • Using multimode device • Not providing session continuity • Phase 2a • Using Mobile IP • Session continuity • Need an optimal selection algorithm • Phase 2b • Supplemented technologies for fast and seamless handover Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

5. Phase approach • Phase 3a • Allow the operator to extend 3GPP2 system with PS based service. • Phase 3b • Provided multimedia functionality through packet core network, as introducing a various multimedia servers. • Phase 4 • all-IP network is achieved. Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

6. Considered four variables Normalized signal strength, si Priority, pi Low threshold, Li High threshold, Hi where, i : interface The existing interface selection algorithm[6] Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

7. The existing interface selection algorithm(Cont.) • Computing the weight wi • If i is the current interface • If i is not the current interface • Select the interface that have the highest weight Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

8. A point to be considered to use the adaptive interface selection algorithm The adaptive interface selection algorithm Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

9. The adaptive interface selection algorithm • Considered variables • The required data rates • Authentication • Received power • The limited number of admission users • The charge for the service Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

10. Decision function Cost function The adaptive interface selection algorithm : interface : the required data rate : the supported data rate of i interface : the price of i interface : critical bandwidth ratio Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

11. The adaptive interface selection algorithm • The flow chart when users access to the initial interface Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

12. The adaptive interface selection algorithm • The detailed flow chart of the optimal selection algorithm part Optimal Selection Algorithm No Yes Yes No Select WLAN Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

13. The adaptive interface selection algorithm • The flow chart when users are moving Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon

14. Conclusions • Propose a number of different phases • Present the interworking strategy • Fast and seamless handover • Adaptive selection algorithm • Propose a number of different deployment scenario • Propose the interface selection strategy for heterogeneous radio access networks • Advantages • Increasing the number of users who want to connect the interface in limited area • Selecting the interface which serves the required data rate of the user at minimum cost Y. J. Lee, J. H. Lee, Y. M. Jang, G.J. Jeon