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Efficient Nonlinear Precoding for Massive MIMO Downlink Systems With 1-Bit DACs

机译:具有1位DAC的大规模MIMO下行链路系统的高效非线性预编码

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The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS). Using 1-bit DACs can significantly reduce the power consumption. This paper addresses the precoding problem for the massive narrow-band MU-MIMO downlink system equipped with 1-bit DACs at each BS. In such a system, the preceding problem plays a central role as the preceded symbols are affected by extra distortion introduced by 1-bit DACs. In this paper, we develop a highly efficient nonlinear preaxling algorithm based on the alternative direction method framework. Unlike the classic algorithms, such as the semidefinite relaxation (SDR) and squared-infinity norm Douglas-Rachford splitting (SQUID) algorithms, which solve convex relaxed versions of the original precoding problem, the new algorithm solves the original nonconvex problem directly. The new algorithm is guaranteed to globally converge under some mild conditions. A sufficient condition for its convergence has been derived. The experimental results in various conditions demonstrated that the new algorithm can achieve the state-of-the-art performance comparable with the SDR algorithm while being much more efficient (e.g., more than 300 times faster than the SDR algorithm).
机译:在大型多用户多输入多输出(MU-MIMO)基站(BS)中,数模转换器(DAC)的功耗占总功耗的很大一部分。使用1位DAC可以大大降低功耗。本文解决了在每个BS配备1位DAC的大规模窄带MU-MIMO下行链路系统的预编码问题。在这样的系统中,前面的问题起着中心作用,因为前面的符号受1位DAC引入的额外失真的影响。在本文中,我们基于替代方向方法框架开发了一种高效的非线性预轴算法。与经典算法(例如半定性松弛(SDR)和平方无穷范数Douglas-Rachford分裂(SQUID)算法)解决了原始预编码问题的凸松弛版本不同,新算法直接解决了原始非凸问题。新算法可以保证在某些温和条件下全局收敛。得出了其收敛的充分条件。在各种条件下的实验结果表明,新算法可以达到与SDR算法相当的最新性能,同时效率更高(例如,比SDR算法快300倍)。

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