Traffic Engineering Models for 3g Network Design Training:

Traffic Engineering Models for 3g Network Design Training Course (Online, Onsite, and Classroom Live!)

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. With technologies such as 3G, 4G, and IMS, and lower costs per unit of capacity for voice traffic, wireless carriers will continue to deploy more sophisticated networks to allow for the seamless interaction between voice and data services, managed by policy-aware networks and technologies.

The understanding of the mix of traffic, how to predict capacity requirements, impact on network policies, spectrum utilization and performance, buffers, quality of service, and impacts of and to mobility management will be key principles in unlocking the potential of a 3G/4G and IMS enabled network. This Traffic Engineering Models for 3g Network Design Training course is an in-depth study of these and related 3G traffic engineering issues.

What’s Included

• 3 Days of Traffic Engineering Models for 3g Network Design Training from an Authorized Instructor
• Traffic Engineering Models for 3g Network Design Official Student Courseware (Electronic Version)
• Certificate of Completion
• 100% Satisfaction Guarantee

Resources:

Related Courses

Customize It:

• Let us know your job focus, whether traffic management, capacity planning, quality of service, services design, technology migration strategy, business or growth planning, capital budgeting, or other. We can tailor this Traffic Engineering Models for 3G Network Design Training course to your needs at little to no extra cost.
• If you are a marketer or designer of value-added services, we can focus on the types of new services that are enabled by IMS, and how to develop predictive models for margin per application relative to network usage.
• We can also customize this Traffic Engineering Models for 3G Network Design course to audiences with network or RF engineering, IT, operations and support, or other orientation.

Objectives:

Upon completion of this Traffic Engineering Models for 3G Network Design course, the participants will:

• Model and predict the impact of network  capacity requirements on varying applications and diffusion curves
• List the key differences and impacts to the capacity of fractional frequency reuse systems versus Code Division Multiple Access (CDMA/WCDMA) systems and how those differences will impact traffic engineering
• 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

Course Syllabus:

Introduction

• 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

• Overview of traffic simulation
• Use of Monte Carlo simulation for telecommunications
• Cost-based routing systems
• Telecommunications services types and traffic generation
• Voice call profiles
• Data call profiles
• Composite services, combinations and permutations
• Accounting for static capacity
• Accounting for the impact of mobility to available capacity by services type

Accounting for Capacity

• Services and traffic types
• Diffusion curves and variability of demand
• Impact on capacity based on services type
• Quality of service requirements
• Class of service capabilities in 3G systems
• Single variable, static dimensioning of capacity
• Multivariable dimensioning of capacity
• Impact to capacity driven by mobility for CDMA/WCDMA systems
• Review of LTE specifications
• Predictions to the impact of services based QoS to radio network performance and operation

Modeling

• Building a traffic simulator
• 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 Node B load balancing

Traffic Engineering Models for 3G Network Design Training – Architectural Impacts

• Review of 3G mobile network
• Review of IMS based mobile network
• Discussion of composite services and SCIM functionality in IMS based networks
• Services demand and application loading on a 3G mobile network
• Sensitivity of user profile/demand profile to the overall architecture
  • Impact on GGSN/PDSN
  • Impact to IPGW
  • Impact to P-CSCF/I-CSCF
  • Impact on and sizing of Edge routers
  • Impact to backhaul
  • Optimization techniques
• Dimensional trade-offs, capacity versus mobility versus probability of time slot availability in 2G, 2.5G, and 3G systems

Workshops

• Generation of service demand
• Calculation of traffic requirements
• Busy hour dimensioning
• Monte Carlo simulation
• Understanding the impact and sensitivity of services model to network dimensioning and quality of service
• Accounting for mobility per application
• Scheduling
• Buffering
• Latency
• Quality of Service
• Further network optimization techniques
• Further quality of service enhancements

Traffic Engineering Models for 3G Network Design Training Course Recap, Q/A, and Evaluations

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