DocumentCode :
24619
Title :
Spatial DCT-Based Channel Estimation in Multi-Antenna Multi-Cell Interference Channels
Author :
Alodeh, Maha ; Chatzinotas, Symeon ; Ottersten, Bjorn
Author_Institution :
Interdiscipl. Centre for Security Reliability & Trust (SnT), Univ. of Luxembourg, Luxembourg, Luxembourg
Volume :
63
Issue :
6
fYear :
2015
fDate :
15-Mar-15
Firstpage :
1404
Lastpage :
1418
Abstract :
This work addresses channel estimation in multiple antenna multicell interference-limited networks. Channel state information (CSI) acquisition is vital for interference mitigation. Wireless networks often suffer from multicell interference, which can be mitigated by deploying beamforming to spatially direct the transmissions. The accuracy of the estimated CSI plays an important role in designing accurate beamformers that can control the amount of interference created from simultaneous spatial transmissions to mobile users. Therefore, a new technique based on the structure of the spatial covariance matrix and the discrete cosine transform (DCT) is proposed to enhance channel estimation in the presence of interference. Bayesian estimation and least squares estimation frameworks are introduced by utilizing the DCT to separate the overlapping spatial paths that create the interference. The spatial domain is thus exploited to mitigate the contamination which is able to discriminate across interfering users. Gains over conventional channel estimation techniques are presented in our simulations which are also valid for a small number of antennas.
Keywords :
antennas; channel estimation; covariance matrices; discrete cosine transforms; least squares approximations; radio networks; radiofrequency interference; Bayesian estimation; CSI; DCT; channel estimation techniques; channel state information; discrete cosine transform; interference mitigation; least squares estimation frameworks; mobile users; multiantenna multicell interference channels; multiple antenna multicell interference limited networks; overlapping spatial paths; spatial DCT; spatial covariance matrix; spatial domain; wireless networks; Channel estimation; Contamination; Discrete cosine transforms; Downlink; Estimation; Interference; Training; Channel estimation; discrete cosine transform; second order statistics; training sequence contamination;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2015.2393844
Filename :
7012112
Link To Document :
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