Al-Asadi Ahmed, Al-Saedi Ibtesam R K, Alwane Saddam K, Li Hongxiang, Alzubaidi Laith
Communication Engineering Department, University of Technology, Baghdad P.O. Box 19006, Iraq.
Electrical and Computer Engineering Department, University of Louisville, Louisville, KY 40292, USA.
Sensors (Basel). 2023 Sep 19;23(18):7965. doi: 10.3390/s23187965.
Multiple Input and Multiple Output (MIMO) is a promising technology to enable spatial multiplexing and improve throughput in wireless communication networks. To obtain the full benefits of MIMO systems, the Channel State Information (CSI) should be acquired correctly at the transmitter side for optimal beamforming design. The analytical centre-cutting plane method (ACCPM) has shown to be an appealing way to obtain the CSI at the transmitter side. This paper adopts ACCPM to learn down-link CSI in both single-user and multi-user scenarios. In particular, during the learning phase, it uses the null space beamforming vector of the estimated CSI to reduce the power usage, which approaches zero when the learned CSI approaches the optimal solution. Simulation results show our proposed method converges and outperforms previous studies. The effectiveness of the proposed method was corroborated by applying it to the scattering channel and winner II channel models.
多输入多输出（MIMO）是一项很有前景的技术，可实现空间复用并提高无线通信网络的吞吐量。为了充分利用MIMO系统的优势，应在发射机端正确获取信道状态信息（CSI），以进行最优波束成形设计。分析中心切割平面法（ACCPM）已被证明是在发射机端获取CSI的一种有吸引力的方法。本文采用ACCPM在单用户和多用户场景中学习下行链路CSI。特别是在学习阶段，它使用估计CSI的零空间波束成形向量来降低功耗，当学习到的CSI接近最优解时，功耗接近零。仿真结果表明，我们提出的方法收敛且优于先前的研究。将该方法应用于散射信道和赢家II信道模型，证实了该方法的有效性。
