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Transmission Mode Selection Algorithms for Spatially Correlated MIMO Interference Channels

机译:空间相关MIMO干扰信道的传输模式选择算法

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In this paper, we study $K$ -user multiple-input multiple-output (MIMO) interference channels (IC) in the presence of antenna correlations. Although interference alignment (IA) achieves the maximum multiplexing gain, i.e., degrees of freedom (DOF), the actual performance is degraded due to ill-conditioned channels caused by the antenna correlations. To enhance the overall system performance, we thus consider a transmission mode selection scheme which adaptively determines the number of data streams at each transmitter-receiver pair in a distributed fashion using local channel state information (CSI). A filter update process is exploited in order to estimate the performance regarding each transmission mode successively by considering the actual channel conditions as well as signal-to-noise ratio (SNR). Simulation results show that our mode selection scheme enhances the sum rate performance compared to the conventional full data stream transmissions in spatially correlated MIMO IC.
机译:在本文中,我们研究存在天线相关性的$ K $用户多输入多输出(MIMO)干扰信道(IC)。尽管干扰对准(IA)实现了最大的复用增益,即自由度(DOF),但是实际性能由于天线相关性引起的信道不良而降低。为了提高整体系统性能,我们因此考虑一种传输模式选择方案,该方案使用本地信道状态信息(CSI)以分布式方式自适应地确定每个收发器对处的数据流数量。利用滤波器​​更新过程,以便通过考虑实际信道条件以及信噪比(SNR)来连续估计每个传输模式的性能。仿真结果表明,与空间相关的MIMO IC中的常规全数据流传输相比,我们的模式选择方案可提高求和速率性能。

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