1. Online Spectrum Allocation for Cognitive Cellular Network Supporting Scalable Demands Jianfei Wang 2011-5-23

2. Outline Introduction Algorithm Target Algorithm Detail Evaluation

3. Introduction Online Spectrum Allocation Scalable Demands – H.264 Satisfaction Degree

4. Algorithm Target Zero User Wait Time High Spectrum Utility Rate

5. Spectrum Model Complete graph Coordinate Network

6. System Assumption Queue System – Arrival of users’ request Possion process – Customer’s service time Exponential distribution – Queuing rules FCFS – Capacity of the system

7. State Machine of System

8. Stabilization of Normal State M/M/N 0 /N 0

9. State Boundary Boundary between Normal and Poor Boundary between Rich and Normal Frequency Ratio of Normal State – Frequency Utility Ratio vs Block Probability.

10. Estimation of Arrival Rate ARMA

11. Estimation of Departure Rate Data Source – The Customers who recently depart – The customers who are active

12. Evaluation Evaluate Parameters – f 2 =0.8 12345678 f10.5641530.4832210.40660.3774570.3223730.3152710.4745430.594657 f30.95 910111213141516 f10.6339760.6681630.680190.6845470.6861110.6953970.6966610.698121 f30.950.9441430.9222920.912730.9148150.9066570.9064980.908398 1718192021222324 f10.6949960.6861590.6848640.6806940.6776290.6580580.6528590.626415 f30.9088410.91810.9202850.9229750.9286020.9359050.95

13. Evaluation Result Active Consumers vs SatisfactionSystem Free Spectrum Statistics

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