：信道估计对于VRVP-MQAM系统的整体性能至关重要，论述了VRVP-MQAM方法在实际应用中遇到的问题，针对假定CSI已知的传统研究方法，该文通过采用MMSE算法进行信道估计，研究了MMSE估计误差对VRVP-MQAM方法的ASE性能影响，并在Rayleigh衰落信道下进行了仿真，仿真结果表明：与信道状态已知(ρ=1)相比，MMSE估计误差(ρ=0.9时)会产生1~3 dB左右的ASE性能差距；当平均SNR为20 dB时，MMSE算法下信道状态的平均频谱效率为0.3 bps/Hz，比理想信道状态的平均频谱效率低。因此，VRVP-MQAM方法的应用将会越来越广泛。

It is well known that channel estimation is important for overall performance of a VRVP-MQAM system. Therefore, the MMSE estimation based VRVP-MQAM scheme was studied and second order statistical characterization of the channel state information(CSI) imperfection over a Rayleigh flat-fading was derived. Then rate and power algorithms was proposed in two kinds of situations that are derived based on ρ, the correlation coefficient between the estimated SNR and its true value. Finally, the proposed VRVP-MQAM scheme was simulated with a given Rayleigh flat fading channel. The simulation results and their comparison with an alternative rate and power algorithm which exploits an ideal CSI assumption show preliminarily that: Compared with ideal CSI(ρ=1), the signal to noise ratio(SNR) of MMSE estimate error(ρ=0.9) is 1 to 3 dB; When average SNR is 20 dB, the average spectral efficient(ASE) of MMSE CSI is 0.3 bps/Hz lower than that of the ideal CSI. Thus the application of VRVP-MQAM scheme will greatly improve in the future.