论文标题
MU-MISO下行链路的一位符号级预码，并具有智能反射表面
One-Bit Symbol-Level Precoding for MU-MISO Downlink with Intelligent Reflecting Surface
论文作者
论文摘要
本文考虑了多源多输入单输出（MISO）下行链路传输的符号级预码（SLP），借助智能反射表面（IRS）。具体而言，通过假设基站（BS）的一位传输信号，这是由于在大规模发射天线的状态下使用低分辨率DAC所引起的，BS在BS处的一位SLP的联合设计以及IRS的相位移位的目的是提出以最小化最差的casse符号误差概率（sep）的使用，该目标是使使用者的使用率最小化。这个联合设计问题本质上是一个混合整数非线性程序（MINLP）。为了解决该问题，我们交替优化一位信号和相移。对于前者而言，镜下降（MD）方法可以解决最大块改进（MBI）启发式方法，解决了轻松的一位SLP问题。对于后者，采用加速的投影梯度（APG）方法来优化相位。数值结果表明，所提出的关节设计可以比传统的线性预编码和一位SLP获得更好的SEP性能。
This paper considers symbol-level precoding (SLP) for multiuser multi-input single-output (MISO) downlink transmission with the aid of intelligent reflecting surface (IRS). Specifically, by assuming one-bit transmitted signals at the base station (BS), which arises from the use of low-resolution DACs in the regime of massive transmit antennas, a joint design of one-bit SLP at the BS and the phase shifts at the IRS is proposed with a goal of minimizing the worst-case symbol error probability (SEP) of the users under the PSK modulation. This joint design problem is essentially a mixed integer nonlinear program (MINLP). To tackle it, we alternately optimize the one-bit signal and the phase shifts. For the former, a dual of the relaxed one-bit SLP problem is solved by the mirror descent (MD) method with the maximum block improvement (MBI) heuristics. For the latter, the accelerated projected gradient (APG) method is employed to optimize the phases. Numerical results demonstrate that the proposed joint design can attain better SEP performance than the conventional linear precoding and one-bit SLP.
