Title :
Near-Optimum Pilot and Data Symbols Power Allocation for MIMO Spatial Multiplexing System With Zero-Forcing Receiver
Author :
Wang, Jun ; Wen, Oliver Yu ; Li, Shaoqian
Author_Institution :
Nat. Key Lab. of Commun., Univ. of Electron. Sci. & Technol. of China, Chengdu
fDate :
5/1/2009 12:00:00 AM
Abstract :
Power allocation between pilot and data symbols is investigated for multiple-input and multiple-output (MIMO) spatial multiplexing (SM) system with zero-forcing receiver and minimum mean square error (MMSE) channel estimation under flat block-fading channel. Based on a modified zero-forcing receiver, which takes channel estimation error into account, a new power allocation scheme to maximize the average post-processing signal-to-noise-ratio (SNR) is proposed. This scheme only requires the computation of scalars and does not need any form of channel coefficients feedback. Simulation results show that the proposed scheme outperforms simple equal power allocation with an improvement of around 3 dB and 2 dB for QPSK and 16-QAM modulations when FER = 10-2, respectively.
Keywords :
MIMO communication; channel estimation; error statistics; fading channels; least mean squares methods; quadrature amplitude modulation; quadrature phase shift keying; space division multiplexing; 16-QAM; FER; MIMO spatial multiplexing system; MMSE channel estimation; QPSK; SNR; average post-processing signal-to-noise-ratio; data symbols power allocation; flat block-fading channel; minimum mean square error estimation; modified zero-forcing receiver; multiple-input multiple-output system; Channel estimation; Covariance matrix; Fading; Feedback; MIMO; Mean square error methods; Quadrature phase shift keying; Receiving antennas; Samarium; Transmitting antennas; Channel estimation; multiple-input multiple-output (MIMO); power allocation; zero-forcing;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2016486
