Abstract
In massive multi-user multiple-input multiple-output (MU-MIMO) communication systems, the utilization of one-bit digital-to-analog converters (DACs) in the base station (BS) radio frequency (RF) chains can significantly reduce the power consumption of the system. This study proposes a low-cost precoding architecture for massive MU-MIMO systems to alleviate multi-user interference (MUI). By including a selection structure, the architecture decreases the power consumption of typical one-bit precoding architecture. Based on this structure, we investigate the antenna selection-aided one-bit DACs precoding problem. However, jointly identifying the precoding factor and the precoding vector of the proposed precoding architectures is intractable because they are coupled together. We address this issue by utilizing an alternating direction multiplication method (ADMM) framework. The antenna selection strategy and the implementation of the non-convex approximate projection operator are given in detail. In addition, the power consumption of the proposed system architecture is analyzed. Simulation results reveal that the proposed precoding algorithm can successfully activate the antenna subset and ensure the performance of the system. Moreover, the hardware complexity and power consumption of the proposed precoding architectures are considerably lower than those of previous one-bit DACs precoding architectures.
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