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Nonlinear One-bit Precoding for Massive MIMO Downlink Systems with l0-Norm Constraint
IEEE Wireless Communications Letters ( IF 4.6 ) Pub Date : 2020-09-01 , DOI: 10.1109/lwc.2020.2995484
Xingyu Yuan , Jianping Zheng

Using one-bit digital-to-analog converters can significantly reduce the power consumption of base station in the massive multiple-input multiple-output downlink system. In this letter, we introduce $l_{0}$ -norm constraint on quantized transmit signals in the nonlinear one-bit precoding to further reduce the number of radio-frequency chains and thus the power consumption. This precoding is first formulated as a non-convex optimization problem, then the alternative direction method of multipliers (ADMM) is employed to solve this problem. Specifically, an efficient two-step implementation of the non-convex projection operator in ADMM is presented. Finally, the performance of proposed scheme and the effectiveness of proposed algorithm are validated by computer simulations.

中文翻译:

具有 l0 范数约束的大规模 MIMO 下行链路系统的非线性一位预编码

在海量多输入多输出下行系统中,使用一位数模转换器可以显着降低基站的功耗。在这封信中,我们在非线性一位预编码中引入了对量化发射信号的 $l_{0}$ -norm 约束,以进一步减少射频链的数量,从而降低功耗。这种预编码首先被表述为一个非凸优化问题,然后采用乘法器的替代方向方法(ADMM)来解决这个问题。具体来说,提出了 ADMM 中非凸投影算子的有效两步实现。最后,通过计算机仿真验证了所提出方案的性能和所提出算法的有效性。
更新日期:2020-09-01
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