Title :
Optimal Pilot Sequence Design for Multi-Cell MIMO-OFDM Systems
Author :
Kang, Jae Won ; Whang, Younghoon ; Lee, Hyung Yeol ; Kim, Kwang Soon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fDate :
10/1/2011 12:00:00 AM
Abstract :
In this paper, optimal pilot sequence designs for MIMO-OFDM systems in multi-cell environments are provided. The proposed multi-cell optimality criterion is to minimize the worst-case MSE of an LS-based channel estimator. To satisfy the multi-cell optimality, it is found that the pilot sequence set, having the perfect auto-correlation property, should meet the Welch bound and the maximum magnitude of the cross-correlation function should be further minimized. Multi-cell optimal pilot sequence designs for various pilot types and their DFT representations are proposed by adopting Chu sequences and a tight upper-bound on the maximum size of the pilot sequence set is derived for a given pilot sequence length and the maximum allowed cross-correlation value. Simulation results show that the proposed pilot sequences can improve both the MSE performance and the system performance in multi-cell environments.
Keywords :
MIMO communication; OFDM modulation; cellular radio; channel estimation; correlation methods; discrete Fourier transforms; least squares approximations; mean square error methods; Chu sequence; DFT; MSE based channel estimator; Welch bound; autocorrelation property; cross correlation function; least square based channel estimator; multicell MIMO-OFDM systems; optimal pilot sequence design; Channel estimation; Correlation; Frequency division multiplexing; Partial transmit sequences; Channel estimation; MIMO-OFDM; pilot sequences;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2011.082011.100939