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Achievable Rates of Full-Duplex MIMO Radios in Fast Fading Channels With Imperfect Channel Estimation

机译:具有不完善信道估计的快速衰落信道中全双工MIMO无线电的可达到速率

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摘要

We study the theoretical performance of two full-duplex multiple-input multiple-output (MIMO) radio systems: a full-duplex bi-directional communication system and a full-duplex relay system. We focus on the effect of a (digitally manageable) residual self-interference due to imperfect channel estimation (with independent and identically distributed (i.i.d.) Gaussian channel estimation error) and transmitter noise. We assume that the instantaneous channel state information (CSI) is not available the transmitters. To maximize the system ergodic mutual information, which is a nonconvex function of power allocation vectors at the nodes, a gradient projection algorithm is developed to optimize the power allocation vectors. This algorithm exploits both spatial and temporal freedoms of the source covariance matrices of the MIMO links between transmitters and receivers to achieve higher sum ergodic mutual information. It is observed through simulations that the full-duplex mode is optimal when the nominal self-interference is low, and the half-duplex mode is optimal when the nominal self-interference is high. In addition to an exact closed-form ergodic mutual information expression, we introduce a much simpler asymptotic closed-form ergodic mutual information expression, which in turn simplifies the computation of the power allocation vectors.
机译:我们研究了两个全双工多输入多输出(MIMO)无线电系统的理论性能:一个全双工双向通信系统和一个全双工中继系统。我们将重点放在由于信道估计不完善(具有独立且均匀分布的(即i.d.)高斯信道估计误差)和发射机噪声而导致的(数字可管理)残余自干扰的影响。我们假设瞬时信道状态信息(CSI)对发射机不可用。为了最大化系统遍历互信息,这是节点处功率分配矢量的非凸函数,开发了一种梯度投影算法来优化功率分配矢量。该算法利用了发射机和接收机之间MIMO链路的源协方差矩阵的空间和时间自由度,以实现更高的遍历遍历互信息。通过仿真观察到,当标称自干扰低时,全双工模式最佳;当标称自干扰高时,半双工模式最佳。除了精确的闭合形式遍历共有信息表达之外,我们还引入了一种更为简单的渐近闭合遍历共有信息表达,从而简化了功率分配矢量的计算。

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