ABSTRACT Every day, more and more people are using 5G wireless networks. They also need to be spectrally efficient and fast, reliable communicators. MU‐MIMO technology improves spectral efficiency and network capacity by enabling simultaneous transmission and reception for multiple users over shared frequency resources, thereby enhancing overall system performance in dense 5G environments. This allows users who have the same used frequency resources to transmit and receive simultaneously over there. The MU‐MIMO scheme, however, has a defect of cross‐user interference and inefficient use of resource that is it supports for a limited number of users; To tackle the above mentioned problems, this research proposed a novel MU‐MIMO framework with a robust beamformer together with adaptive user clustering and intelligent infrastructure resource allocation strategies. In varying network conditions, it utilizes optimization‐driven solutions to enable responses that open channels by decreasing interference. To that end, we formulate a hybrid optimization problem with the constraints of channel state information (CSI) and traffic requirements for joint optimization of precoding matrices and user scheduling options. The performance of the proposed system is evaluated in terms of certain key performance indicators (KPIs), which include throughput, spectral efficiency, signal‐to‐interference‐plus‐noise ratio, and energy efficiency. Evaluation scenarios demonstrate that the enhanced MU‐MIMO design implements significantly better than standard approaches, particularly when 5G users are numerous, showing that the proposed approach is a suitable solution to address upcoming challenges in highly susceptible wireless communication environments.
Jiang et al. (Sun,) studied this question.