Ali Zakir, Sun Chen, Jan Qasim, Furqan Muhammad, Gao Xiqi
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China.
Department of Computer Sciences, Bahria University Lahore Campus, Lahore 54000, Pakistan.
Sensors (Basel). 2024 Aug 11;24(16):5188. doi: 10.3390/s24165188.
Precoding is a technique employed to enhance transmission rates in various communication systems, including massive multiple-input multiple-output (MIMO) and optical wireless communication (OWC). In this study, we focus on network massive MIMO OWC (NM-MIMO-OWC) systems and investigate the precoder design to enhance the sum rate and improve the system performance. We present the network's massive MIMO OWC framework. By utilizing this framework, we are able to calculate the achievable sum rate. Subsequently, we consider the precoding design for maximizing the sum rate while adhering to the total power constraint. To solve this optimization problem, we provide a necessary condition of the optimal solution based on the Karush-Kuhn-Tucker (KKT) conditions, and propose a low-complexity algorithm to further enhance the efficiency of the proposed precoding technique. The numerical results demonstrate that the proposed precoder design significantly improves the transmission rate and effectively maximizes the sum rate.
预编码是一种用于提高各种通信系统传输速率的技术，包括大规模多输入多输出（MIMO）和光无线通信（OWC）。在本研究中，我们专注于网络大规模MIMO OWC（NM-MIMO-OWC）系统，并研究预编码器设计以提高和速率并改善系统性能。我们提出了网络的大规模MIMO OWC框架。通过利用此框架，我们能够计算可实现的和速率。随后，我们考虑在遵守总功率约束的同时最大化和速率的预编码设计。为了解决此优化问题，我们基于Karush-Kuhn-Tucker（KKT）条件提供了最优解的必要条件，并提出了一种低复杂度算法以进一步提高所提出的预编码技术的效率。数值结果表明，所提出的预编码器设计显著提高了传输速率并有效地最大化了和速率。
