Title :
Performance analysis of maximum ratio transmission with imperfect channel estimation
Author :
Chen, Yunxia ; Tellambura, Chintha
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Davis, CA, USA
fDate :
4/1/2005 12:00:00 AM
Abstract :
Maximal ratio transmission (MRT) is designed assuming the availability of perfect channel state information (CSI) at both the transmitter and the receiver. However, perfect CSI is not available in practice. This paper investigates the impact of Gaussian estimation errors on the MRT performance in independently and identically distributed (i.i.d.) Rayleigh fading channels. We derive the cumulative distribution function (cdf), the probability density function (pdf) and the moment generating function (mgf) of the MRT output signal-to-noise ratio (SNR) with imperfect CSI, enabling the evaluation of some useful performance metrics such as the average error rate and the outage performance. Numerical and simulation results are provided to show the impact of imperfect CSI on the MRT performance.
Keywords :
Gaussian channels; MIMO systems; Rayleigh channels; channel estimation; probability; CSI; Gaussian estimation errors; MIMO systems; MRT; Rayleigh fading channels; SNR; cdf; cumulative distribution function; imperfect channel estimation; maximal ratio transmission; maximum ratio transmission; mgf; moment generating function; pdf; perfect channel state information; probability density function; signal-to-noise ratio; Availability; Channel estimation; Channel state information; Distribution functions; Estimation error; Fading; Performance analysis; Probability density function; Signal generators; Transmitters;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2005.1413621