Network Design and Simulation

This course is no longer offered


CMPE Degree: This course is for the CMPE degree.

EE Degree: This course is for the EE degree.

Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.

Technical Interest Group(s) / Course Type(s): Telecommunications

Course Coordinator:

Prerequisites: ECE 3076/3600

Corequisites: None.

Catalog Description

Introduces the principles of Monte Carlo techniques and network
simulation, and applies them to design issues in ATM systems


Course Outcomes

Not Applicable

Student Outcomes

In the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.

1. ( ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics

2. ( ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors

3. ( ) An ability to communicate effectively with a range of audiences

4. ( ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts

5. ( ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives

6. ( ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions

7. ( ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Strategic Performance Indicators (SPIs)

Not Applicable

Course Objectives

Topical Outline

Part I: Simulation Methodologies

Pseudo-random numbers, generation of samples of a distribution, the
inverse-transformation method.

Estimating expected-valued functions of a random variable by averaging the
outputs of independent random experiments. Special consideration will be
given to exponential, Poisson, Gaussian and geometric random variables.

The memoryless property of the exponential distribution, and its use in
simulating Poisson processes.

Input analysis: generating a distribution from experimental data.

Output analysis: variance reduction techniques.

Discrete event simulation: the structure of discrete event systems,
queueing systems, and fork-join networks.

Sensitivity analysis and optimization.

Part II: Networks

The ISO Reference Model and the IEEE-802 LAN architecture.

Asynchronous Transfer Mode: The basic protocol.

Network control: virtual connections, delay control and congestion control.

LAN emulation.

The lectures will cover the material in Part I and Part II in parallel,
with emphasis on performance issues in ATM networks. The students will
prepare a simulation project for performance evaluation or optimization,
and written reports on some of the main issues concerning ATM networks