关键词: 共信道干扰, 多用户多输入多输出, 广义特征值分解, 信号泄漏噪声比

Abstract:

A general eigenvalues decomposition (GEVD) aided interference suppression algorithm is proposed based on the minimum meansquared error (MMSE) criterion to improve the precoding gain of multiuser in multiuser multiinput multioutput (MIMO) system. It suppresses the interference and noise, meanwhile, the users precoding gain is taken into account at the same time. The algorithm can maximize the signaltoleakageandnoiseratio at the transmitter and maximize the signalto interference andnoiseratio of each user’s receiver. And how to modify the design in order to account for channel estimation errors is also analyzed. Simulation shows that the algorithm can achieve a better system performance than the general MMSE invension algorithm.

Key words: cochannel interference, multiuser multiinput multioutput, general eigenvalues decomposition, signal to leakage and noise ratio