Network Design and Simulation

This course is no longer offered

(3-0-0-4)

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

Catalog Description

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

Textbook(s)

Course Outcomes

Not Applicable

Strategic Performance Indicators (SPIs)

Not Applicable

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
control.