Wireless network traffic disaggregation using Bayesian nonparametric techniques

Keyphrases

• Aggregated Traffic 33%
• Application Layer 33%
• Application Layer Protocols 33%
• Awareness Framework 33%
• Bayesian Nonparametrics 100%
• Classification Recognition 33%
• Cognitive Radio Environments 66%
• Disaggregation 100%
• Dynamic Spectrum Access 33%
• Emulated Networks 33%
• Energy Detector 66%
• Factorial Hidden Markov Model 66%
• Hidden Markov Model 66%
• Hidden States 33%
• Machine Learning 33%
• Model Representation 33%
• Network Scenarios 33%
• Network Traffic 100%
• Network Traffic Flow 33%
• Nonparametric Methods 100%
• Protocol Classification 33%
• Protocol State 100%
• Spectrum Access Strategy 33%
• Spectrum Awareness 33%
• State Recognition 33%
• Traffic Flow 66%
• Traffic Type 33%
• Wireless Networks 100%

Computer Science

• Actual Protocol 50%
• And-States 50%
• Application Layer 50%
• Application Layer Protocol 50%
• Awareness Framework 50%
• Cognitive Radio 100%
• Disaggregation 100%
• Dynamic Spectrum Access 50%
• Feature Detector 50%
• Machine Learning 50%
• Network Scenario 50%
• Network Traffic 100%
• Radio Environment 100%
• Representation Model 50%
• Specific Protocol 50%
• Spectrum Awareness 50%
• Wireless Networks 100%

Engineering

• Application Layer 100%
• Cognitive Radio 100%
• Dynamic Spectrum Access 50%
• Energy Detector 100%
• Layer Protocol 50%
• Nonparametric Technique 100%
• Observables 100%
• Radio Environment 100%
• Spectrum Awareness 50%
• Tasks 50%
• Traffic Type 50%
• Transmissions 50%