BER Analysis for OFDM Systems with Various Modulation Techniques in Rayleigh Fading Channel

Ali Farzamnia, Ervin Moung, Bradly Virus Malitam, Manas Kumar Haldar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) is a form of multicarrier modulation technique that is the main technology used in 4G technology today. The current 4G OFDM technique however utilizes the Discrete Fourier Transform (DFT) and the Inverse Discrete Fourier Transform (IDFT) algorithm which uses carriers that are orthogonal to each other and changes the transmission of the signal from frequency selective channel to flat fading channel. Discrete Cosine Transform (DCT) however can also do the same with advantages in terms of bandwidth and computational speed. The performance of a DCT-based OFDM is thus interesting to have compared to that of traditional DFT-based OFDM. From the MATLAB simulation results, it was found that both DFT-based OFDM and DCT-based OFDM gives the best performance (low Bit Error Rate) when using Binary Phase Shift Keying (BPSK) when compared to Quadrature Phase Shift Keying (QPSK) and 4-Quadrature Amplitude Modulation (4-QAM). In addition, comparing the DFT-based OFDM and DCT-based OFDM, except for BPSK where DCT-based OFDM and DFT-based OFDM achieved the same BER, it was found that DCT-based OFDM gives better performance (lower BER) when using QPSK and 4-QAM compared to DFT-based OFDM.

Original languageEnglish
Title of host publicationProceedings - 2018 10th International Conference on Computational Intelligence and Communication Networks, CICN 2018
EditorsD. M. Akbar Hussain, Geetam Singh Tomar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages40-44
Number of pages5
ISBN (Electronic)9781538625781
ISBN (Print)9781538625798
DOIs
Publication statusPublished - 14 Oct 2019
Externally publishedYes
Event10th International Conference on Computational Intelligence and Communication Networks - Esbjerg, Denmark
Duration: 17 Aug 201819 Aug 2018
Conference number: 10

Publication series

NameInternational Conference on Computational Intelligence and Communication Networks, CICN
PublisherIEEE
Volume2018
ISSN (Print)2375-8244
ISSN (Electronic)2472-7555

Conference

Conference10th International Conference on Computational Intelligence and Communication Networks
Abbreviated titleCICN 2018
Country/TerritoryDenmark
CityEsbjerg
Period17/08/1819/08/18

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