Modeling Coding Performance with Nonideal Channel Estimation for Dynamic System Simulators

Performance of conventional decoders with inaccurate channel estimation input is analyzed to construct an accurate and computationally efficient model for dynamic system simulations. The model abstracts general channel conditions experienced by a codeword into a collection of repetitive states, caused by type-I HARQ or diversity receive antennas, and non-repetitive states, caused by fast fading, type-II HARQ or OFDM transmissions. An effective SNR accounting for losses due to channel estimation errors is derived for the repetitive states. The contribution of all non-repetitive states is summarized in the normalized conditional information rate, which can then used to read off the correct codeword error rate from a look-up table. The accuracy of the proposed model is verified with extensive simulation results.