Pilot Beam Pattern Design for Channel Estimation in Massive MIMO Systems

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In this paper, the problem of pilot beam pattern design for channel estimation in massive multiple-input multiple-output systems with a large number of transmit antennas at the base station is considered, and a new algorithm for pilot beam pattern design for optimal channel estimation is proposed under the assumption that the channel is a stationary Gauss-Markov random process. The proposed algorithm designs the pilot beam pattern sequentially by exploiting the properties of Kalman filtering and the associated prediction error covariance matrices and also the channel statistics such as spatial and temporal channel correlation. The resulting design generates a sequentially-optimal sequence of pilot beam patterns with low complexity for a given set of system parameters. Numerical results show the effectiveness of the proposed algorithm.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2014-10
Language
English
Article Type
Article
Keywords

FADING CHANNELS; LIMITED FEEDBACK; ANTENNA SYSTEMS; WIRELESS; DOWNLINK; IDENTIFICATION; TRANSMISSIONS; CAPACITY; SUBSPACE; FILTER

Citation

IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, v.8, no.5, pp.787 - 801

ISSN
1932-4553
DOI
10.1109/JSTSP.2014.2327572
URI
http://hdl.handle.net/10203/191201
Appears in Collection
EE-Journal Papers(저널논문)
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