Performance analysis of audio data transmission on FBMC - offset QAM system

Anggun, Fitrian Isnawati and Viona Octaviani, Citra and Jans, Hendry (2019) Performance analysis of audio data transmission on FBMC - offset QAM system. The 2019 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT). pp. 75-80. ISSN 978-1-7281-3745-2

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Text and voice messaging is common in our daily life. Messaging technology nowadays uses wireless communication technology. In wireless communication, electromagnetic waves are propagated through air as a transmission media that brings information or messages. In order to optimize wireless communication performance, FBMCOffset QAM has become new method to improve OFDM. FBMC is one of superior method for modulation because of its orthogonality that splits bandwidth for only contiguous sub-line. Using Offset QAM modulation which is more stable than ordinary QAM such as robust against dispersion effects, able to improve decision process, and has higher bit rate. Symbols detection algorithm is used to get transmitted information signal. In this research, Zero Forcing method is used to detect original signal sent by transmitter antenna. The performance of the system in this study is measured based on SNR against BER, and channel capacity. The result shows that FBMC-Offset QAM system equipped with Zero Forcing equalizer has better BER value than same system without equalizer. Simulation shows that on SNR 20 dB, BER value of FBMC-Offset QAM equipped with Zero Forcing is about 2.056E-2, whereas system without Zero Forcing has BER value around 0.4445. Furthermore, channel capacity analysis shows that the increased of SNR values proportional to channel capacity. Keywords— FBMC, Offset QAM, Zero Forcing, BER, channel capacity.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Telecommunication and Electrical Engineering > Telecommunication Engineering
Depositing User: KinatJr
Date Deposited: 14 Dec 2020 05:32
Last Modified: 14 Dec 2020 05:32

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