Traffic Engineering Models for 3g Network Design Training

Traffic Engineering Models for 3g Network Design Training

Course Delivery

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Course Overview:

Traffic Engineering Models for 3g Network Design Training – Hands-on

Traffic Engineering Models for 3g Network Design Training – 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 to 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.

Customize It:

• If you are familiar with some aspects of this Traffic Engineering Models for 3g Network Design Training course, we can omit or shorten their discussion.
• We can adjust the emphasis placed on the various topics or build the 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 course in manner understandable to lay audiences.


After completing this Traffic Engineering Models for 3g Network Design Training course, attendees will be able to:

● Model and predict the impact of network capacity requirements to varying applications and diffusion curves
● List the key differences and impacts to 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

Traffic Engineering Models for 3g Network Design Training – Course Syllabus:


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 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 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


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

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 overall architecture
Impact to GGSN/PDSN
Impact to IPGW
Impact to P-CSCF/I-CSCF
Impact to and sizing of Edge routers
Impact to back haul
Optimization techniques
Dimensional trade-offs, capacity versus mobility versus probability of time slot availability in 2G, 2.5G, and 3G systems


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
Further network optimization techniques
Further quality of service enhancements

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