DocumentCode :
2326114
Title :
Optimal power allocation for channel estimation in MIMO-OFCDM systems
Author :
Zhou, Yiqing ; Ng, Tung-Sang
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong
fYear :
2008
fDate :
Nov. 30 2008-Dec. 3 2008
Firstpage :
822
Lastpage :
825
Abstract :
This paper investigates the power allocation in orthogonal frequency and code division multiplexing (OFCDM) systems with multiple input multiple output (MIMO) multiplexing (MIMO-OFCDM). Since time-multiplexed pilot channels are employed for channel estimation, the total transmission power should be properly assigned to the pilot and data channels to achieve the best performance. By minimizing the mean square error (MSE) during signal detection, a closed form expression is derived for the optimal power ratio between the pilot and data channels. It is shown that the optimal power ratio is mainly decided by the number of transmit antennas and the number of pilot and data symbols in a packet, while it is not sensitive to other system parameters like signal-to-noise ratio (SNR) and the frequency domain spreading factor. Simulations demonstrate the accuracy of the derived optimal power ratio.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; channel estimation; code division multiplexing; mean square error methods; transmitting antennas; MIMO-OFCDM systems; channel estimation; closed form expression; data channels; frequency domain spreading factor; mean square error; multiple input multiple output multiplexing; optimal power allocation; optimal power ratio; orthogonal frequency and code division multiplexing systems; signal detection; signal-to-noise ratio; time-multiplexed pilot channels; transmit antennas; Channel estimation; Code division multiplexing; Frequency domain analysis; MIMO; Mean square error methods; OFDM; Radio spectrum management; Signal detection; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-2341-5
Electronic_ISBN :
978-1-4244-2342-2
Type :
conf
DOI :
10.1109/APCCAS.2008.4746149
Filename :
4746149
Link To Document :
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