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Downlink capacity of interference-limited MIMO systems with joint detection

机译:具有联合检测的干扰受限mImO系统的下行链路容量

摘要

The capacity of downlink cellular multiple-input multiple-output (MIMO) systems, where co-channel interference is the dominant. channel impairment, is investigated in this paper, mainly from a signal-processing perspective. Turbo space-time multiuser detection (ST MUD) is employed for intracell communications and is shown to closely approach the ultimate capacity limits in Gaussian ambient noise for an isolated cell. Then, it is combined with various multiuser detection methods for combating intercell interference. Among various multiuser detection techniques examined, linear minimum-mean-square-error (MMSE) MUD and successive interference cancellation are shown to be feasible and effective. Based on these two multiuser detection schemes, one of which may outperform the other for different settings, an adaptive detection scheme is developed, which together with a Turbo ST MUD structure offers substantial performance gain over the well-known V-BLAST techniques with coding in this interference-limited cellular environment. The obtained multiuser capacity is excellent in the high to medium signal-to-interference ratio scenario. Nonetheless, numerical results also indicate that a further increase in system complexity, using base-station cooperation, could lead to further significant increases of the system capacity. The asymptotic multicell MIMO capacity with linear MMSE MUD preprocessing is also derived, and this analysis agrees well with the simulation results.
机译:下行信道蜂窝多输入多输出(MIMO)系统的容量,其中同信道干扰占主导地位。本文主要从信号处理的角度研究信道损伤。 Turbo空时多用户检测(ST MUD)用于小区内通信,并且显示出它已接近接近隔离小区的高斯环境噪声的最终容量限制。然后,将其与各种多用户检测方法结合起来以对抗小区间干扰。在研究的各种多用户检测技术中,线性最小均方误差(MMSE)MUD和连续干扰消除被证明是可行和有效的。基于这两种多用户检测方案,其中一种在不同的设置下可能会胜过其他方案,因此,开发了一种自适应检测方案,该方案与Turbo ST MUD结构一起提供了比众所周知的V-BLAST技术更高的性能增益,并在其中进行了编码。这种受干扰限制的蜂窝环境。在高到中等的信号干扰比情况下,获得的多用户容量非常出色。尽管如此,数值结果还表明,通过基站协作,系统复杂性的进一步增加可能导致系统容量的进一步显着增加。还推导了具有线性MMSE MUD预处理的渐近多小区MIMO容量,该分析与仿真结果非常吻合。

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