DocumentCode :
87577
Title :
Channel Prediction Using IAA-Based Spectral Estimation in Precoded TDD-MIMO Systems
Author :
Dechun Sun ; Zujun Liu ; Shuai Ma ; Kechu Yi
Author_Institution :
Dept. of Telecommun. Eng., Xidian Univ., Xi´an, China
Volume :
17
Issue :
4
fYear :
2013
fDate :
Apr-13
Firstpage :
701
Lastpage :
704
Abstract :
This letter proposes a channel prediction scheme for precoded time division duplex multiple-input multiple-output (TDD-MIMO) systems. Based on the sum-of-sinusoidal (SoS) channel model, the proposed scheme first uses iterative adaptive approach (IAA)-based spectral estimation algorithm for sinusoidal components estimation according to the channel state information (CSI) detected in the discontinuous uplink periods. Then the minimum description length (MDL) criterion is used to choose the proper number of sinusoidal components for the channel model. Finally, time extrapolation is performed to the estimated channel model to predict the future downlink CSI that is needed for transmit precoding. The scheme is verified by simulations.
Keywords :
MIMO communication; channel estimation; extrapolation; iterative methods; precoding; prediction theory; radio transmitters; wireless channels; CSI; IAA-based spectral estimation algorithm; MDL; SoS; channel estimation; channel prediction scheme; channel state information detection; discontinuous uplink period; iterative adaptive approach; minimum description length criterion; precoded TDD-MIMO system; precoding transmission; sinusoidal components estimation; sum-of-sinusoidal channel model; time division duplex multiple-input multiple-output systems; time extrapolation; Channel estimation; Channel models; Complexity theory; Downlink; Estimation; Training; Uplink; IAA; MDL; TDD-MIMO; channel prediction; sinusoidal model;
fLanguage :
English
Journal_Title :
Communications Letters, IEEE
Publisher :
ieee
ISSN :
1089-7798
Type :
jour
DOI :
10.1109/LCOMM.2013.022713.122906
Filename :
6476944
Link To Document :
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