Implementation of channel coding in Wimaz using MATLAB

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dc.contributor.authorSidra Tariq
dc.contributor.authorFatima Tariq
dc.date.accessioned2013-10-10T12:32:13Z
dc.date.available2013-10-10T12:32:13Z
dc.date.issued6/1/2013
dc.descriptionProject Advisor: Mr. Muhammad Basit Shahaben_US
dc.description.abstractThe digital communication industry is an enormous and rapidly growing industry, roughly comparable in size to the computer industry. The objective of this project is to study those aspects of digital communication systems that are unique to these systems.Digital communication is a field in which theoretical ideas have had an unusually powerful impact on actual system design. In the last few years, the telecommunication industries’ development has focused on an intensive use of broadband systems, which are characterized by high quality features. For this issue, new technologies with high transmission abilities have been designed. The broadband wireless access has become the best way to meet escalating business demand for rapid internet connection and integrated "triple play" services. In addition to not only topographic but also technological limitations, wireless solution alternatives have been found. That is the very base of the WiMAX concept: a wireless transmission infrastructure that allows a fast deployment as well as low maintenance costs. Based on the IEEE 802.16-2004 standard, WiMAX allows for an efficient use of bandwidth in a wide frequency range, and can be used as a last mile solution for broadband internet access. In any channel or a communication system there may be errors because of noise fading etc. In order to detect or correct these hazards we do channel coding. So in this project we try to minimize the errors by implementing different channel coding schemes in MATLAB Simulink and compare them in terms of BER (Bit Error Rate). We also check their effects by adding different encoders and decoders in modulation schemes. By implementing channel coding in different modulation schemes(BPSK, QPSK, 16-QAM, 64-QAM) we analyze that Bit Error Rate(BER) is decreasing by increasing signal to noise ratio (SNR) or (Eb/No).en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/803
dc.language.isoenen_US
dc.publisherUniversity of Management and Technologyen_US
dc.subjectBS Thesisen_US
dc.subjectElectrical Engineeringen_US
dc.subjectMATLABen_US
dc.subjectWiMAXen_US
dc.titleImplementation of channel coding in Wimaz using MATLABen_US
dc.typeThesisen_US
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