DocumentCode :
1777976
Title :
Spectrum-efficiency parametric channel estimation scheme for massive MIMO systems
Author :
Zhen Gao ; Chao Zhang ; Chengran Dai ; Qian Han
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
fYear :
2014
fDate :
25-27 June 2014
Firstpage :
1
Lastpage :
4
Abstract :
This paper proposes a parametric channel estimation method for massive multiple input multiple output (MIMO) systems, whereby the spatial correlation of wireless channels is exploited. For outdoor communication scenarios, most wireless channels are sparse. Meanwhile, compared with the long signal transmission distance, scale of the transmit antenna array can be negligible. Therefore, channel impulse responses (CIRs) associated with different transmit antennas usually share the very similar path delays, since channels of different transmit-receive pairs share the very similar scatterers. By exploiting the spatial common sparsity of wireless MIMO channels, we propose a parametric channel estimation method, whereby the frequency-domain pilots can be reduced significantly. The proposed method can achieve super-resolution path delays, and improve the accuracy of the channel estimation considerably. More interestingly, simulation results indicate that the required average pilot number per transmit antenna even decreases when the number of transmit antennas increases in practice.
Keywords :
MIMO communication; antenna arrays; channel estimation; wireless channels; CIR; channel impulse responses; frequency-domain pilots; long signal transmission distance; massive MIMO systems; massive multiple input multiple output systems; outdoor communication scenarios; spatial common sparsity; spatial correlation; spectrum-efficiency parametric channel estimation scheme; super-resolution path delays; transmit antenna array; wireless channels; Channel estimation; Delays; Indexes; MIMO; Receiving antennas; Transmitting antennas; Wireless communication; Channel modelling and simulation; OFDM; massive MIMO system; multiple users (MU); signal processing for transmission; sparse channel estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Broadband Multimedia Systems and Broadcasting (BMSB), 2014 IEEE International Symposium on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/BMSB.2014.6873562
Filename :
6873562
Link To Document :
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