Abstract | ||
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In this paper, channel estimation for massive multiple-input multiple-output (MIMO) 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 under the assumption of Gauss-Markov channel processes is proposed. The proposed algorithm designs the optimal pilot beam pattern sequentially by exploiting the statistics of the channel, antenna correlation, and temporal correlation. The algorithm provides a sequentially optimal sequence of pilot beam patterns for a given set of system parameters. Numerical results show the effectiveness of the proposed algorithm. |
Year | DOI | Venue |
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2013 | 10.1109/ACSSC.2013.6810671 | 2013 ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS |
Keywords | Field | DocType |
signal to noise ratio,correlation,mimo,kalman filters | Base station,Mimo systems,Computer science,Signal-to-noise ratio,MIMO,Communication channel,Kalman filter,Electronic engineering,Beam pattern,Beam (structure) | Conference |
ISSN | Citations | PageRank |
1058-6393 | 10 | 0.73 |
References | Authors | |
13 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Song Noh | 1 | 172 | 9.11 |
Michael D. Zoltowski | 2 | 534 | 57.84 |
Youngchul Sung | 3 | 621 | 45.85 |
David J. Love | 4 | 2424 | 157.01 |