Analytical Mimo-Ofdm System Representation Based On Fractional Fourier Transform

HANADI MOHAMMED, ABASS and MOHAMMED, ALI and SHA, XUEJUN (2017) Analytical Mimo-Ofdm System Representation Based On Fractional Fourier Transform. In: Fifth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2017, 02-03 September, 2017, Zurich, Switzerland.

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Abstract

The demand for wireless systems has been growing rapidly over the recent years due to improved reliability, high data rates, seamless connectivity and low deployment costs. MIMO systems are the most efficient leading innovation of wireless systems for maximum capacity and improved quality and coverage. Multiple Input Multiple Output (MIMO) in combination with Orthogo nal Frequency Division Multiplexing (OFDM) can provide spectrally efficient and ISI free communication. The Fractional Fourier transform (FrFT), as a generalization of the classical Fourier Transform, was introduced many years ago in mathematics literature . In this paper selecting the optimal order of the fractional Fourier transform, the modulated signals can match the time - varying channel characteristics, which results in a mitigation of the inter carrier interference. Furthermore, an algorithm is present ed for selecting the optimal order of fractional Fourier transform, and the impact of system parameters on the optimal order is analyzed. Experimental results yields good results over conventional state of art methods.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Fractional Fourier transform, MIMOOFDM, inter carrier interference
Depositing User: Mr. John Steve
Date Deposited: 11 Mar 2019 08:30
Last Modified: 11 Mar 2019 08:30
URI: http://publications.theired.org/id/eprint/388

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