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2018 International Conference on Computing, Networking and Communications (ICNC) (2018)
Maui, HI, USA
March 5, 2018 to March 8, 2018
ISBN: 978-1-5386-3653-4
pp: 496-502
Xiao Wei , School of Electronics Information and Communications, Huazhong University of Science and Technology, China
Wei Peng , School of Electronics Information and Communications, Huazhong University of Science and Technology, China
Derrick Wing Kwan Ng , School of Electrical Engineering and Telecommunications, The University of New South Wales, Australia
Robert Schober , Institute for Digital Communications, Friedrich-Alexander-University Erlangen-Nürnberg, Germany
Tao Jiang , School of Electronics Information and Communications, Huazhong University of Science and Technology, China
ABSTRACT
In this paper, we investigate channel parameter estimation for massive multiple-input multiple-output (MIMO) systems, where a large base station (BS) antenna array is used to provide multiplexing and diversity gains. We propose a Parallel Factor (PARAFAC)-based joint estimation scheme, which exploits the low-rank property of massive MIMO channels caused by the physical finite scattering environment. Specifically, we first parameterize the channel in terms of fading coefficients, directions of arrival (DOAs), and delays, thereby the channel is characterized via three equivalent PARAFAC models. Subsequently, we certify the identifiability of the three parameters of the PARAFAC models by exploiting the low-rank property. Then, we develop the proposed PARAFAC-based estimation scheme, which jointly estimates the three channel parameters using an alternating least squares (ALS) algorithm. Moreover, we analyze the computational complexity of the proposed scheme in terms of the required number of floating-point operations (FLOPs). Simulation results show that the proposed scheme achieves both a high performance and a low computational complexity.
INDEX TERMS
MIMO communication, Estimation, Channel estimation, Direction-of-arrival estimation, Delays, Fading channels, Computational modeling
CITATION

X. Wei, W. Peng, D. W. Ng, R. Schober and T. Jiang, "Joint Estimation of Channel Parameters in Massive MIMO Systems via PARAFAC Analysis," 2018 International Conference on Computing, Networking and Communications (ICNC), Maui, HI, USA, 2018, pp. 496-502.
doi:10.1109/ICCNC.2018.8390299
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