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VoIP Implementation and Performance Analysis Using MATLAB: Managing Delay and Loss

This document explores the implementation of Voice over IP (VoIP) using the CRN model in MATLAB, focusing on managing trade-offs between delay and loss in networked voice communication. It delves into critical aspects such as codec characteristics, jitter buffers, and the impact of network conditions on voice quality. Key metrics like the R-Factor and MOS (Mean Opinion Score) are discussed, alongside performance evaluation through simulations. The study aims to provide insights into optimizing VoIP systems for improved robustness and quality.

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VoIP Implementation and Performance Analysis Using MATLAB: Managing Delay and Loss

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Presentation Transcript

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

  2. Project Goals • Implementation of VoIP CRNModel usingMATLAB@ • Executing and Performance studying

  3. Network & Codec Jitter Buffer Voice Quality Loss Delay λ K TDelay jitter buffer jitter buffer codec codec codec codec System’s Model E-model R-Factor MOS • Network conditions • Delay • Loss • Codec characteristics • Equipment impairment • Loss robustness jitter buffer controller

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

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

  6. Spectrum opportunities

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

  8. Class Diagrams

  9. Initial Results

  10. C=10

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