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