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Performance Analysis with Imperfect Channel Estimation in Cooperative Diversity  

Ro Sang-Min (연세대학교 전기전자공학과 정보통신연구실)
Hong Dae-Sik (연세대학교 전기전자공학과 정보통신연구실)
Abstract
This paper focuses on the accurate performance evaluation of cooperative diversity technique with imperfect channel estimates. The channel environment for simulations and performance evaluation is supposed to be the slowly time-varying Rayleigh fading channel. The framework of the performance evaluation is based on the Moment Generating Function(MGF) approach. To apply the effect of this channel estimation error into the performance evaluation, we import an useful Gaussian approximation in formulating the effective noise component and the additive noise. The average BER performance of cooperative diversity with M-PSK and M-QAM is computed as a function of the ratio of the signal to the effective noise based on the approximation. The verification of computed performance is provided with simulations. The evaluated performance matches up to simulation results even in a low SNR region.
Keywords
Cooperative diversity; MGF;
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