1. College of Engineering Robert Akl, D.Sc. Department of Computer Science and Engineering

2. 10/8/20042 Outline WiFi Access Point Selection Traffic Balancing Multi-Cell CDMA User Distribution Modeling Call Admission Control WiFi Access Point Selection Traffic Balancing Multi-Cell CDMA User Distribution Modeling Call Admission Control

3. 10/8/20043 Three Story Building Demand Clusters

4. 10/8/20044 Access Point Placement and Signal Level Map

5. 10/8/20045 14 Access Points and 20 Demand Clusters

6. 10/8/20046 AP Selection and Load Balancing

7. 10/8/20047 Congestion Factor per AP

8. 10/8/20048 Average Congestion Across Network

9. 10/8/20049 Multi-Cell CDMA Simulation Uniform User Distribution

10. 10/8/200410 Extreme Cases Using Actual Interference Non-Uniform Distribution Maximum network capacity of 1026 with best case non-uniform user distribution Maximum network capacity of 108 with worst case non-uniform user distribution

11. 10/8/200411 Use 2-D Gaussian to Model User Distribution Mean = 0 and standard deviation = 200 Mean = 0 and standard deviation = 500

12. 10/8/200412 Use 2-D Gaussian to Model User Distribution Mean = 0 and standard deviation = 900 Non-zero mean, standard deviation between 100-300

13. 10/8/200413 Simulator – Call Arrival and Admission Module (Global CAC) From call removal module To call removal module

14. 10/8/200414 Simulator – Call Removal Module (Global CAC) To call arrival and admission module From call arrival and admission module

15. 10/8/200415 Simulator – Call Arrival and Admission Module (Local CAC) From call removal module To call removal module

16. 10/8/200416 Simulator – Call Removal Module (Local CAC) To call arrival and admission module From call arrival and admission module

17. 10/8/200417 Global CAC vs Local CAC Global Call admission based on all the calls present in the network. Slower. Inherently optimized. Adaptable. Complexity: O(M). Global Call admission based on all the calls present in the network. Slower. Inherently optimized. Adaptable. Complexity: O(M). Local Call admission based on calls present in the cell under consideration only. Faster Optimized only for a given traffic distribution profile. Cannot compensate for big fluctuation in traffic. Complexity: O(1)

18. 10/8/200418

19. 10/8/200419

20. 10/8/200420 Publications Journal R. Akl, A. Parvez, “Global versus Optimized Local Call Admission Control in Multi-cell CDMA Networks,” IEEE Transactions on Wireless Communications, paper no. TW04-624, under review. R. Akl, M. Hegde and M. Naraghi-Pour, “Mobility-based CAC Algorithm for Arbitrary Traffic Distribution in CDMA Cellular Systems,” IEEE Transactions on Vehicular Technology, paper no. VT-2003-00435, accepted. Conference R. Akl, “ Subscriber Maximization in CDMA Cellular Networks,” Proceedings of CCCT 04: International Conference on Computing, Communications, and Control Technologies: CCCT 04, August 2004, vol 3, pp. 234-239. R. Akl and A. Parvez, “ Global versus Local Call Admission Control in CDMA Cellular Networks,” Proceedings of CITSA 04: Communications, Information and Control Systems, Technologies and Applications, July 2004, vol. 2, pp. 283-288. R. Akl and A. Parvez, “ Impact of Interference Model on Capacity in CDMA Cellular Networks,” Proceedings of SCI 04: Communication and Network Systems, Technologies and Applications, July 2004, vol. 3, pp. 404-408. Journal R. Akl, A. Parvez, “Global versus Optimized Local Call Admission Control in Multi-cell CDMA Networks,” IEEE Transactions on Wireless Communications, paper no. TW04-624, under review. R. Akl, M. Hegde and M. Naraghi-Pour, “Mobility-based CAC Algorithm for Arbitrary Traffic Distribution in CDMA Cellular Systems,” IEEE Transactions on Vehicular Technology, paper no. VT-2003-00435, accepted. Conference R. Akl, “ Subscriber Maximization in CDMA Cellular Networks,” Proceedings of CCCT 04: International Conference on Computing, Communications, and Control Technologies: CCCT 04, August 2004, vol 3, pp. 234-239. R. Akl and A. Parvez, “ Global versus Local Call Admission Control in CDMA Cellular Networks,” Proceedings of CITSA 04: Communications, Information and Control Systems, Technologies and Applications, July 2004, vol. 2, pp. 283-288. R. Akl and A. Parvez, “ Impact of Interference Model on Capacity in CDMA Cellular Networks,” Proceedings of SCI 04: Communication and Network Systems, Technologies and Applications, July 2004, vol. 3, pp. 404-408.

21. 10/8/200421 Thank You!! Questions?