WiMAX Traffic and Capacity Engineering Training

WiMAX Traffic and Capacity Engineering Training

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WiMAX Traffic and Capacity Engineering Training Course in a Nutshell

WiMAX Traffic and Capacity Engineering Training, 3G and 4G mobile networks are rapidly evolving to a mixed usage model where data will become increasingly more prevalent in the mix of traffic demanded by consumers.

The increasingly diverse voice/data mix includes services such as VoIP, web-browsing, presence, online gaming, streaming, and IPTV. Wireless carriers must develop a good understanding of the user data patterns and apply sophisticated traffic/capacity and Quality of Service (QoS) management techniques to be able to offer a network that responds effectively to their subscriber needs.

Understanding of the varied traffic mixes, prediction of capacity requirements, impact to network policies, spectrum utilization and performance, buffers, quality of service and impacts of and to mobility management are some of the key factors in unlocking the potential of a WiMAX enabled network. In this WiMAX Traffic and Capacity Engineering Training course, we will undertake an in-depth study of these and related WiMAX packet traffic engineering issues.

Duration: 3 days

WiMAX Traffic and Capacity Engineering Training
WiMAX Traffic and Capacity Engineering TrainingRelated Courses

Customize It:

• If you are familiar with some aspects of this WiMAX Traffic and Capacity Engineering Training course, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the WiMAX Traffic and Capacity Engineering Training course around the mix of technologies of interest to you (including technologies other than those included in this outline).
• If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the WiMAX Traffic and Capacity Engineering Training course in manner understandable to lay audiences.


• WiMAX and Mobile WiMAX: An Advanced Tutorial Including 802.16e
• Traffic Engineering Models for Network Design

Audience/Target Group:

• Those responsible for the traffic/capacity engineering and optimization of WiMAX systems


After completing this WiMAX Traffic and Capacity Engineering Training course, attendees will be able to:

• Describe the major components of the mobile network architecture, including signaling, and how they work together
• Describe how different services place different demands on the network and affect the utilization of resources
• Model and predict the impact of network capacity requirements to varying applications and diffusion curves
• List all the packet models relevant to WiMAX and Mobile WiMAX services

WiMAX Traffic and Capacity Engineering Training – Course Outlines:


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


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


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
Quality of Service (QoS)
Further network optimization techniques
Further quality of service enhancements

Wrap-up: Course Recap, Q/A, and Evaluations

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