WiMAX Traffic & Capacity Engineering
- Introduction
- Course objectives and overview
- Overview of probabilistic systems
- Overview of stochastic systems
- Overview of Monte Carlo simulation
- Arriving at a deterministic function based on probability
- Impact to rate of change based on multi-variant inputs
- Telecommunications Traffic and Self-Similarity
- Overview of traffic simulation
- Use of Monte Carlo simulation for telecommunications
- Cost based routing systems
- Telecommunications services types and traffic generation
- Packet voice call profiles
- Data traffic profiles
- Composite services, combinations, and permutations
- Accounting for static capacity
- Accounting for impact of mobility to available capacity by services type
- Accounting for Capacity
- Services and traffic types
- Diffusion curves and variability of demand
- Impact to capacity based on services type
- Quality of service requirements
- Class of service capabilities in WiMAX/Mobile WiMAX systems
- Single variable, static dimensioning of capacity
- Multivariable dimensioning of capacity
- Predictions to the impact of services based QoS to radio network performance and operation
- Modeling
- Defining probabilities
- Weighting applications and services
- Combinations and permutations of various demand profiles
- Cumulative distribution functions
- Probability distribution functions
- Model tuning based on latency
- Model tuning based on buffer capacity
- Model tuning based on QoS requirements per application
- Model tuning based on application weighting
- Application and use of the Central Limit Theorem to results
- Applying confidence intervals to results
- Analyzing results
- Applying results to radio network capacity planning and engineering
- Predicting quality of service, coverage holes, and inter/intra ANC load balancing
- Architectural Impacts
- Review of WiMAX mobile network
- Discussion of composite services for WiMAX networks
- Services demand and application loading on a WiMAX mobile network
- Sensitivity of user profile/demand profile to overall architecture
- Dimensional trade-offs, capacity versus mobility versus probability of time slot availability
- Workshops
- Generation of service demand
- Calculation of traffic requirements
- Busy hour dimensioning
- Monte Carlo simulation
- Understanding impact to and sensitivity of services model to network dimensioning and quality of service
- Accounting for mobility per application
- Scheduling
- Buffering
- Latency
- Quality of Service (QoS)
- Further network optimization techniques
- Further quality of service enhancements
- Wrap-up: Course Recap, Q/A, and Evaluations
