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Analysis of LTE Radio Frame by eliminating Cyclic Prefix in OFDM and comparison of QAM and Offset-QAM
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
Linnaeus University, Faculty of Science and Engineering, School of Computer Science, Physics and Mathematics.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Spectral efficiency is the key factor for the development of future wireless communications. Orthogonal Frequency Division Multiple Access (OFDMA) is the multiple access technology used at physical layer of latest wireless communication technologies. Anything on the improvement or overcoming the disadvantage of the present system will be considered for the future wireless systems. Long Term Evolution (LTE) is one of the 4th generation wireless communications and it is taken as the reference system in this thesis.

The main concern of this thesis is to analyze the LTE radio frame. We designed and simulated the OFDM system with cyclic prefix, its Bit Error Rate (BER) is verified by changing the Signal to Noise Ratio (SNR) value and we investigated the OFDM system by eliminating the cyclic prefix. By eliminating cyclic prefix bandwidth efficiency is achieved, though using cyclic prefix in OFDM has more advantages. Filter banks are used to compensate the advantages of cyclic prefix when it is removed. Introducing Offset in QAM results in less distortion and amplitude fluctuations. We designed, simulated and compared the QAM digital modulation with Offset-QAM digital modulation its BER vs. SNR are verified using simulations on MATLAB.

Place, publisher, year, edition, pages
2012. , 71 p.
Keyword [en]
OFDM, LTE, OQAM, QAM, FBMC, FIlter Bank Multicarriers
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:lnu:diva-21602OAI: oai:DiVA.org:lnu-21602DiVA: diva2:551247
Subject / course
Electrical Engineering
Educational program
Electrical Engineering with specialisation in Signal Processing & Wave Propagation, Master Programme, 120 credits
Uppsok
Technology
Supervisors
Examiners
Available from: 2012-09-11 Created: 2012-09-10 Last updated: 2012-09-11Bibliographically approved

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Master_Thesis_Report(1842 kB)636 downloads
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Selvakumar, VinodhkumarNemalladinne, SamuelArumugam, Premkumar
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CiteExportLink to record
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