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General Information
    • ISSN: 1793-8244
    • Frequency: Semiyearly
    • DOI: 10.18178/JACN
    • Editor-in-Chief: Dr. Ka Wai Gary Wong
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Engineering & Technology Digital Library, DOAJ, Electronic Journals Library, Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest, and Google Scholar.
    • E-mail: jacn@ejournal.net
Editor-in-chief
Dr. Ka Wai Gary Wong
Division of Information and Technology Studies, Faculty of Education, The University of Hong Kong.
It's a honor to serve as the editor-in-chief of JACN. I'll work together with the editors and reviewers to help the journal progress
JACN 2014 Vol.2(1): 24-27 ISSN: 1793-8244
DOI: 10.7763/JACN.2014.V2.75

A Low Multiplicative Complexity of Proposed FFT/IFFTs Design Applied for OFDM-Based Wireless Communication Systems

M. Arioua and M. M. Hassani
Abstract—Low arithmetic complexity and High speed of FFT/IFFT processor is required in many applications in OFDM-based wireless broadband communication systems. For this reason, it’s essential to develop an optimum complexity design FFT/IFFT processor to meet the low power and real time requirements. This paper presents a multiplicative comparison between developed FFT/IFFTs design and efficient pipeline radix structures applied for OFDM modulator/demodulator to be used in IEEE 802.11a and IEEE 802.16a systems. The proposed design reduces the multiplicative complexity by using feedback architecture and reduction approach of complex multiplications. Based on the algorithm and architecture analysis of developed efficient FFT/IFFTs and comparison results, the proposed designs reaches low arithmetic complexity, hence high speed and low power consumption for OFDM-based wireless broadband communication systems.

Index Terms—FFT/IFFT, FPGA, IEEE 802.11a, IEEE 802.16a, MDC, OFDM, Radix-n, SDF, WLAN.

M. Arioua is with the National School of Applied Sciences, University of Abdelmalek Essaadi Tetouan-Tanger, B.P.2222 M'hannech, Morocco (email: m.arioua@ieee.org).
M. M. Hassani is with the Faculty of Science of Marrakech at Cadi Ayyad University, B.P.511- 40000, Morocco (email: hassani@ucam.ac.ma).

[PDF]

Cite:M. Arioua and M. M. Hassani, "A Low Multiplicative Complexity of Proposed FFT/IFFTs Design Applied for OFDM-Based Wireless Communication Systems," Journal of Advances in Computer Networks vol. 2, no. 1, pp. 24-27, 2014.

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