NDLI: A Low Complexity ICI Cancellation Method for High Mobility OFDM Systems

Content Provider	IEEE Xplore Digital Library
Author	Kwanghoon Kim Hyuncheol Park
Copyright Year	2006
Description	Author affiliation: Sch. of Eng., Inf. & Commun. Univ., Daejeon (Kwanghoon Kim; Hyuncheol Park)
Abstract	Orthogonal frequency division multiplexing (OFDM) can significantly reduce a receiver complexity using one-tap frequency domain equalizer in a frequency-selective fading channel. However, the channel variation due to high mobility gives a time-selectivity in one OFDM symbol. As a result, each OFDM subcarrier experiences inter-carrier interference (ICI) that makes the equalization process very complicate. We propose a low complexity ICI cancellation method that takes advantage of the ICI power distribution. Instead of computing the inversion of the whole channel frequency response (CFR) matrix, we split the matrix into several small sub-matrices that contain significant channel information and perform a linear minimum mean squared error (LMMSE) equalization. We also propose an efficient successive interference cancellation (SIC) method that can effectively utilize a time diversity resulting from the mobility. Simulation results show that the performance improvements is remarkable even though the sub-matrix size is much smaller than that of the whole CFR matrix while taking high computational efficiency
Starting Page	2528
Ending Page	2532
File Size	2498462
Page Count	5
File Format	PDF
ISBN	0780393910
ISSN	15502252
DOI	10.1109/VETECS.2006.1683313
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-05-07
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	OFDM Frequency domain analysis Equalizers Frequency-selective fading channels Power distribution Frequency response Interference cancellation Silicon carbide Computational modeling Computational efficiency
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering Computer Science Applications

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