TY - GEN
T1 - Spectrum-efficiency parametric channel estimation scheme for massive MIMO systems
AU - Gao, Zhen
AU - Zhang, Chao
AU - Dai, Chengran
AU - Han, Qian
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Channel modelling and simulation
KW - OFDM
KW - massive MIMO system
KW - multiple users (MU)
KW - signal processing for transmission
KW - sparse channel estimation
UR - http://www.scopus.com/inward/record.url?scp=84906542733&partnerID=8YFLogxK
U2 - 10.1109/BMSB.2014.6873562
DO - 10.1109/BMSB.2014.6873562
M3 - Conference contribution
AN - SCOPUS:84906542733
SN - 9781479916542
T3 - IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB
BT - 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014
PB - IEEE Computer Society
T2 - 2014 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2014
Y2 - 25 June 2014 through 27 June 2014
ER -