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<p align="justify">Wireless communication system like WiMAX is susceptible channel compare to another physical channel. Noise factor, interference, and fading make wireless channel getting more data damage. Mechanism of retransmission can deliver back broken data but reduce performan...

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Bibliographic Details
Main Author: WICAKSONO (NIM 13203071), ARYO
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/10029
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:10029
spelling id-itb.:100292017-09-27T10:18:43Z#TITLE_ALTERNATIVE# WICAKSONO (NIM 13203071), ARYO Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/10029 <p align="justify">Wireless communication system like WiMAX is susceptible channel compare to another physical channel. Noise factor, interference, and fading make wireless channel getting more data damage. Mechanism of retransmission can deliver back broken data but reduce performance. The ACM technique reduces retransmission with channel coding and adaptive modulation. Channel coding on wireless communication system has characterized to reduce retransmission giving redundancy bits that advance performance. On this final project, channel coding that used is Convolutional coding.<p align="justify"><p>Parameter Convolutional coding like constraint length (K), generator matrices, and code rate that influence performance system will be showed through computer simulation using Matlab. Simulation result shows that BER is decrease so data communication can work better. Graphic Eb/No to BER become parameter from this final project that shows differences with uncoded channel on channel AWGN.<p align="justify"><p>Besides channel coding, this final project also analysis influence of adaptive modulation to communication link on WiMAX. Modulation level that investigates on this final project is BPSK, QPSK, 16 QAM, and 64 QAM. Simulation result shows that modulation level that used on WiMAX depend on feedback given based on channel condition. Beside that, adaptive modulation also used to appropriate with modulation level scheme to distance between BTS and receiver. <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description <p align="justify">Wireless communication system like WiMAX is susceptible channel compare to another physical channel. Noise factor, interference, and fading make wireless channel getting more data damage. Mechanism of retransmission can deliver back broken data but reduce performance. The ACM technique reduces retransmission with channel coding and adaptive modulation. Channel coding on wireless communication system has characterized to reduce retransmission giving redundancy bits that advance performance. On this final project, channel coding that used is Convolutional coding.<p align="justify"><p>Parameter Convolutional coding like constraint length (K), generator matrices, and code rate that influence performance system will be showed through computer simulation using Matlab. Simulation result shows that BER is decrease so data communication can work better. Graphic Eb/No to BER become parameter from this final project that shows differences with uncoded channel on channel AWGN.<p align="justify"><p>Besides channel coding, this final project also analysis influence of adaptive modulation to communication link on WiMAX. Modulation level that investigates on this final project is BPSK, QPSK, 16 QAM, and 64 QAM. Simulation result shows that modulation level that used on WiMAX depend on feedback given based on channel condition. Beside that, adaptive modulation also used to appropriate with modulation level scheme to distance between BTS and receiver. <br />
format Final Project
author WICAKSONO (NIM 13203071), ARYO
spellingShingle WICAKSONO (NIM 13203071), ARYO
#TITLE_ALTERNATIVE#
author_facet WICAKSONO (NIM 13203071), ARYO
author_sort WICAKSONO (NIM 13203071), ARYO
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/10029
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