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