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Robust transceiver design based on switched preprocessing for K-pair MIMO interference channels

机译:基于切换预处理的鲁棒收发器设计,用于K对MIMO干扰信道

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In this work, the authors propose a transceiver design strategy based on switched preprocessing (SP) for interference management in K-pair MIMO interference channels. Each transmitter performs SP by using a small number of permutation matrices to allocate the entries of its precoder output vector on different transmit antennas. Each arrangement of permutation matrices among the K transmitters gives rise to a set of K parallel point-to-point transceivers, referred to as MIMO latent transceiver set (MLTS). Based on the given channel state information (CSI), the optimum MLTS among the available ones is chosen by minimising the squared Euclidean distance between the pre-estimated noiseless received vector and the true transmit symbol vector. In addition, they consider two CSI error models, i.e. the stochastic error model and the norm-bounded error model, and for each type they propose robust algorithms for the design of the MLTS associated to the different choices of permutation matrices, which are based on minimising various types of mean square error criteria. A detailed study of computational complexity for the proposed SP-based MIMO transceiver design algorithms is carried out. Simulation results verify the effectiveness of the new SP-based designs for MIMO interference channels.
机译:在这项工作中,作者提出了一种基于交换预处理(SP)的收发器设计策略,用于K对MIMO干扰信道中的干扰管理。每个发射机通过使用少量置换矩阵在不同的发射天线上分配其预编码器输出矢量的条目来执行SP。 K个发射机之间的置换矩阵的每种排列都产生了一组K个并行点对点收发器,称为MIMO潜在收发器集(MLTS)。基于给定的信道状态信息(CSI),通过最小化预先估计的无噪声接收矢量和真实发射符号矢量之间的平方欧几里德距离,来选择可用的最优MLTS。此外,他们考虑了两个CSI错误模型,即随机错误模型和范数有界错误模型,并且针对每种类型,他们针对与不同置换矩阵选择相关的MLTS设计提出了健壮的算法,该算法基于最小化各种类型的均方误差标准。对所提出的基于SP的MIMO收发器设计算法的计算复杂度进行了详细研究。仿真结果验证了基于SP的新设计对MIMO干扰信道的有效性。

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