论文标题
RIS AID 6G网络中的双梯度下降EMF感知的MU-MIMO波束成形
Dual Gradient Descent EMF-Aware MU-MIMO Beamforming in RIS-Aided 6G Networks
论文作者
论文摘要
可重构智能表面（RIS）是即将到来的第六代（6G）通信的关键技术之一，可以通过添加人工传播路径来改善接收器的信号强度。在下行链路（DL）多用户多输入多输出（MU-MIMO）通信的背景下，设计适当的波束形成（BF）方案，以充分利用此重新配置的传播环境并提高网络容量是一个主要挑战。由于MIMO系统提供的空间维度，因此可以在同一无线电资源上同时将独立的数据流传输到多个用户。重要的是要注意，在一段时间内为使用相同的用户子集服务可能会导致不希望的区域，在这种情况下，平均电磁场暴露（EMFE）超过监管限制。为了应对这一挑战，在本文中，我们提出了一个双梯度下降（双GD）基于基于电磁场的电磁场（EMF）-Aware Mu-Mimo BF方案，该方案旨在优化RIS辅助6G细胞网络中EMFE限制下的整体容量。
Reconfigurable Intelligent Surface (RIS) is one of the key technologies for the upcoming 6th Generation (6G) communications, which can improve the signal strength at the receivers by adding artificial propagation paths. In the context of Downlink (DL) Multi-User Multiple-Input Multiple-Output (MU-MIMO) communications, designing an appropriate Beamforming (BF) scheme to take full advantage of this reconfigured propagation environment and improve the network capacity is a major challenge. Due to the spatial dimension provided by MIMO systems, independent data streams can be transmitted to multiple users simultaneously on the same radio resources. It is important to note that serving the same subset of users over a period of time may lead to undesired areas where the average Electromagnetic Field Exposure (EMFE) exceeds regulatory limits. To address this challenge, in this paper, we propose a Dual Gradient Descent (Dual-GD)-based Electromagnetic Field (EMF)-aware MU-MIMO BF scheme that aims to optimize the overall capacity under EMFE constraints in RIS-aided 6G cellular networks.
