DocumentCode :
2045447
Title :
Optimal pilot beam pattern design for massive MIMO systems
Author :
Song Noh ; Zoltowski, M.D. ; Youngchul Sung ; Love, David J.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fYear :
2013
fDate :
3-6 Nov. 2013
Firstpage :
20722076
Lastpage :
20722076
Abstract :
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.
Keywords :
MIMO communication; Markov processes; antenna arrays; channel estimation; correlation methods; transmitting antennas; Gauss-Markov channel; antenna correlation; massive MIMO systems; multiple-input multiple-output systems; optimal channel estimation; optimal pilot beam pattern; temporal correlation; transmit antennas; Channel estimation; Correlation; Covariance matrices; Kalman filters; MIMO; Signal to noise ratio; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
Type :
conf
DOI :
10.1109/ACSSC.2013.6810671
Filename :
6810671
Link To Document :
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