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Traffic Engineering
 
   
Course Name: Traffic and Capacity Engineering for WIMAX Networks Training
   
Deployment Options: Onsite - Instructor-Led Training
   
Course Duration: 3-4 days depending on audience background and options
   
Related Courses
 
 
Introduction:
 
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 eeds.

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 course, we will undertake an in-depth study of these and related WiMAX packet traffic engineering issues.
 
Audience:
 
Those responsible for the traffic/capacity engineering and optimization of WiMAX systems.
 
Prerequisites:
 
Understanding of the WiMAX technology and classical traffic engineering techniques which may be acquired by taking the above courses, or through equivalent experience, is necessary to get the most out of this course. Some prior exposure to probability and statistics will also be helpful. While the standard presentation of the course assumes an Electrical Engineering/Communications background, the presentation style can be modified to suit a different audience as needed.
 
Customize it:
 
This 3-4-day Traffic and Capacity Engineering for WIMAX Networks course will be customized to your needs and specifications. Eno.com will assist you in identifying those needs and specifications. A word to the wise, there are many vendors of telecommunication training. They will typically have a broad and general course, one size fits all, already developed and just put your organization?s name on the title slide. This minimizes their effort and time investment. At Eno.com, every course is made to your exact and exacting specifications. We help you ensure what you are getting is what you really need even if at the beginning you weren't too sure of what that was. We fit the class to your needs. We never fit you into our standard, one size fits all, class. Please call or e-mail to schedule a no-obligation conference call to help us understand your audience background and training objectives.
 
Objectives:
 

On completing this course, you 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
 
Course Outline
 

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
 
Other Expertise:
 
 

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