1. clustering / dispersion → overflow / time-outs clustering / dispersion → overflow / time-outs Trade-offs management: Delay ↔ Loss Trade-offs management: Delay ↔ Loss Introduction to VoIP

2. Project Goals  Implementation of VoIP CRN Model using MATLAB @  Executing and Performance studying

3. E-model MOS Kλ Delay Loss T Delay Network conditions Delay Loss Codec characteristics Equipment impairment Loss robustness R-Factor jitter buffer codec jitter buffer controller Voice Quality Jitter Buffer Network & Codec System’s Model

4. E-model MOS R-Factor jitter buffer codec jitter buffer controller Voice Quality Jitter Buffer Network & Codec CRN System’s Model CRN

5. E-model MOS Kλ Delay Loss T Delay Network conditions Delay Loss Codec characteristics Equipment impairment Loss robustness R-Factor jitter buffer codec jitter buffer controller Voice Quality Jitter Buffer Network & Codec CRN System’s Model C(t)

6. Spectrum opportunities

7. Network Simulator Performance Studying Scenarios generator MOS Channel State Simulator Adaptive Jitter Buffer Network simulator

8. Class Diagrams

9. Initial Results

10. C=10 MOS results (Network.type, participant.type, JBuffer.type) 4321 JBuffer 4321432143214321 participan t Networ k 0.5862 0.879 5 0.995 4 0.958 8 0.714 2 0.377 9 0.921 9 0.708 8 0.956 8 0.115 6 0.978 6 0.969 8 0.593 4 0.996 6 0.715 1 0.613 3 1 0.6750 0.926 4 0.994 5 0.706 3 0.571 4 0.996 6 0.891 4 0.695 8 0.977 0 0.105 4 0.971 7 0.992 4 0.512 1 0.996 6 0.849 4 0.606 7 2 0.7457 0.789 2 0.994 1 0.996 3 0.575 2 0.996 6 0.891 1 0.661 8 0.991 8 0.136 0 0.994 0 0.985 4 0.508 7 0.996 6 0.795 1 0.572 4 3 0.5615 0.287 6 0.832 5 0.624 0 0.651 1 0.080 2 0.848 7 0.674 2 0.746 0 0.098 6 0.857 1 0.833 3 0.563 0 0.969 8 0.840 5 0.629 8 4 0.4062 0.762 5 0.995 3 0.501 8 0.516 9 0.250 8 0.882 6 0.670 3 0.947 3 0.119 0 0.966 4 0.967 3 0.398 4 0.979 9 0.733 7 0.494 3 5 0.41120.919 7 0.961 1 0.511 4 0.580 4 0.384 6 0.897 1 0.637 0 0.960 6 0.115 6 0.994 2 0.974 2 0.352 9 0.996 6 0.775 1 0.464 4 6