MATLAB is one of the most popular computer languages for technical and scientific programming, in this report MATLAB is been viewed as a simulation instrument in the signal processing field

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          College of Postgraduate                University of Wollongong

Masters of Engineering Management

Strategic management for Engineers and Technologists   (ENGG 954)

Autumn 2008

MATLAB

Prepared by:         Khawla Ali Al Muhairi

Student ID:                3336384

Submitted to:        Dr. Mohammed

Table of Contents

Table of Figures………………………………………………………..………………………2

Abstract…………………………………………………………………..…………………….3

MATLAB……………………………………………………………………………..……….4

Simulation…………………………………………………………………………...…………5

Adaptive Modulation………………………………………………….……………………….8

Adaptive Modulation using MATLAB………………………………………..………………9

Conclusion……………………………………………………………………………………11

Reference ……………………………………………………..….…………………………..12

Table of Figures

Figure 1……………………………………………………………………………………4

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ABSTRACT

MATLAB is one of the most popular computer languages for technical and scientific programming, in  this report MATLAB is been viewed as a simulation instrument in the signal processing field, defining MATLAB and features used for simple calculation, matrices, programming, and simulation diagrams.

 

An example of adaptive modulation is given to illustrate the use of MATLAB and the possibility of changing variables among the written code, the adaptive modulation allows a wireless system to choose the highest order modulation depending on the channel conditions. A general estimate of the channel conditions needed for different modulation techniques. Increasing the range, will lower the modulations (in other words, BPSK), but as you are closer you can utilize higher order modulations like QAM for increased throughput.

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 In addition, adaptive modulation allows the system to overcome fading and other interference. Both QAM and QPSK are modulation techniques used in IEEE 802.11 (Wi-Fi*), IEEE 802.16 (WiMAX*) and 3G (WCDMA/HSDPA) wireless technologies. The modulated signals are then demodulated at the receiver where the original digital message can be recovered. The use of adaptive modulation allows wireless technologies to optimize throughput, yielding higher throughputs while also covering long distances.

In order to build such a model different variables and parameters are created to manage the signal power and bandwidth, to simulate this model exactly like a real time ...

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