KKKT 6274

Modeling and Simulation of Communication and Computer

Networks

Prof. Dr. Mahamod Ismailmahamod@eng.ukm.my

SynopsisThis course is an introduction to discrete-event/time simulation for performance modeling of communication and computer systems. At the end of this course, a student will be able to model a system and predict its performance. Various simulation tools and software package will be introduce to model communication and computer network and system such as MATLAB/Simulink, Network Simulation NS-2, OMNET++, QualNet, OpSym and Optisys, and Sonnet. The simulator also will help student to design and optimize any systems and networks before their deployment.

Outcomes

1. Ability to undestand the basic concept of communication and computer system modeling and simulations. (Comprehension)

2. Ability to develop skills in the use of communication and computer simulation software. (Application)

3. Ability to use relevant software simulation methods for the purpose of evaluating overall communication and computer system performance. (Application)

4. Ability to design and solve communication and computer engineering problem with the aid of simulation software. (Synthesis)

Outcomes

TEACHING PLAN

LECTURERS

• Prof. Dr. Mahamod Ismail (MBI)B.Sc.(Strathclyde), M.Sc (UMIST), PhD (Bradford)mahamod@eng.ukm.my, mahamod@gmail.com 03-89118014/8015dr_mbiJKEES

• Dr. Mohd Fais Mansor (MFM)Sm.Kej.(UKM, Duisburg-Essen), PhD (Surrey)fais@eng.ukm.my 03-89216335JKEES

TEACHING PLAN (1/3)

Week Topics1

(MBI)Introduction to Simulation and Performance Modeling: Analytical and Monte Carlo

2(MBI)

Simulation Principle: Event and Time Driven

3(MBI)

Simulation Model: Statistical, Random and Queue

4(MBI)

Model Verification/Validation, Input/Output Analysis

TEACHING PLAN (2/3)

5(MBI)

Communication and Computer Simulation Software: QualNet, OptiSym, Sonnet, HFSS, NS-2, OMNET++, and Matlab

6(MBI)

QualNet Simulation

7(MBI)

OptiSym/Optsys Simulation

Semester Break8

(MFM)Sonnet Simulation

TEACHING PLAN (3/3)9

(MBI)NS-2 Simulation

10(MBI)

OMNET++ Simulation

11(MBI)

Matlab/Simulink Simulation

12-14(MBI/MFM)

C&C Project Simulation

ASSIGNMENT/PBL

• Wireless Communication (Matlab/Qualnet)• FTTH Design (Optisym)• MAC Layer Network Design (NS-2/Omnet++)• Antenna Design (Sonnet/CST)

EVALUATION

• Assignments 20 %• Quiz 10 %• PBL Project 40%• Simulation Project 30%• TOTAL 100%

LECTURE SCHEDULE

STUDENTS

REFERENCES• Averill M. Law, 2007. Simulation Modeling and Analysis, 4th Ed., McGraw

Hill• William H. Tranter, K. Sam Shanmugan, Theodore S. Rappaport and Kurt

L. Kosbar. 2004. Principles of Communication Systems Simulation with Wireless Applications, Prentice Hall

• Michel C. Jeruchim, Philip Balaban and K. Sam Shanmugan. 2000. Simulation of Communication Systems: Modeling, Methodology and Techniques, 2nd Ed., Kluwer Academic Publishers.

• Ricardo F. Garzia. 1990. Network Modeling, Simulation, and Analysis. Marcel Dekker Inc.

• Dennis Silage. 2009. Digital Communication System using MATLAB and Simulink, Bookstand Publishing.

MATLAB Simulations

LECTURE 1 INTRODUCTION

Introduction

• Methodologies to solve telecommunication and computer research problems– quantitative versus qualitative.

• Options:– Experimental– Data Collection/Observation– Design, Fabrication and Measurement– Modeling and simulation– etc.

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Introduction

• The difference between a model and a simulation is in the form of the output.

• Modelling usually deals with numerical outputs, e.g. with a spreadsheet model you could use formulae and functions to calculate the stresses on a bridge.

• A simulation might try to physically represent this by showing a graphic of how the bridge breaks as a truck passes over it.

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Introduction

• Advantages– Can be safer and cheaper than the real world.– Able to test a product or system works before

building it.– Can use it to find unexpected problems.– Able to explore ‘what if…’ questions.– Can speed things up or slow them down to see

changes over long or short periods of time.

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Introduction• Disadvantage

– Mistakes may be made in the programming [programming: The process of writing computer software.] or rules of the simulation or model.

– The cost of a simulation model can be high.– The cost of running several different simulations

may be high.– Time may be needed to make sense of the results.– People’s reactions to the model or simulation might

not be realistic or reliable.

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Introduction

• Depends upon time, resources, and desired level of accuracy– Analytic/mathematical modeling : Quick, less

accurate– Simulation : Medium effort, medium accuracy– Measurement : Typical most effort, most accurate

• Note, above are all typical but can be reversed in some cases!

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Introduction

• A computer simulation, a computer model, or a computational model is a computer program, or network of computers, that attempts to simulate an abstract model of a particular system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics (computational physics), astrophysics, chemistry and biology, human systems in economics, psychology, social science, and engineering.

• Simulations can be used to explore and gain new insights into new technology, and to estimate the performance of systems too complex for analytical solutions. (Wiki)

Introduction

• Model:– A Representation of an object, a system, or an idea in

some form other than that of the entity itself. (Shannon)

– Physical (Scale models, prototype plants,…) and Mathematical (Analytical queueing models, linear programs, simulation)

• Modeling– theoretical framework /conceptual– Mathematical formulation

Introduction

• Simulation:– A Simulation of a system is the operation of a

model, which is a representation of that system.– The model is amenable to manipulation which

would be impossible, too expensive, or too impractical to perform on the system which it portrays.

– The operation of the model can be studied, and, from this, properties concerning the behavior of the actual system can be inferred.

Introduction

Simulation and Modeling Steps:1. Define an achievable goal2. Put together a complete mix of skills on the

team3. Involve the end-user4. Choose the appropriate simulation tools5. Model the appropriate level(s) of detail6. Start early to collect the necessary input data

Introduction

Simulation and Modeling Steps:7. Provide adequate and on-going documentation8. Develop a plan for adequate model

verification (Did we get the “right answers ?”)9. Develop a plan for model validation (Did we ask

the “right questions ?”)10.Develop a plan for statistical output analysis

(PDF, CDF, CCDF, MOS, etc.)

Introduction

• Steps in simulation study

Simulation Tools - Matlab• MATLAB® is a high-level

language and interactive environment for numerical computation, visualization, and programming.

• Using MATLAB (communication toolbox), we can analyze data, develop algorithms, and create models and applications, e.g. C&C

Simulation Tools - NS

• Network Simulator (NS-2/NS-3) is a discrete event simulator targeted at networking research.

• NS provides substantial support for simulation of TCP, routing, and multicast protocols over wired and wireless (local and satellite) networks.

Simulation Tools

• OMNeT++ is an extensible, modular, component-based C++ simulation library and framework, primarily for building network simulators.

• "Network“ includes wired and wireless communication networks, on-chip networks, queueing networks, etc.

Simulation ToolsQualNet is a ultra high-fidelity network evaluation software that predicts performance of wired, wireless and mixed-platform.QualNet is capable of modeling the most complex of networks and is the fastest, most scalable network simulator in the market. QualNet's large model library and powerful development tools help minimize coding time. QualNet's Integration Modules provide extensibility that greatly boosts the tool's value as a simulator of communications systems

Simulation Tools•OptSim•SatSoft•Antenna 2.0•Microwave Office•EM CST microwave•MATLAB

Simulation Tools

• Symbolic versus numerical; Open and closed loop

• Software package– Mathematica– Simscript– Scilab– Mathcad

References

• http://www.mathworks.com/help/techdoc/• http://home.hit.no/~hansha/• http://www.imc.tue.nl/