论文标题
部分可观测时空混沌系统的无模型预测
Approaching Massive MIMO Performance with Reconfigurable Intelligent Surfaces: We Do Not Need Many Antennas
论文作者
论文摘要
本文考虑了一种天线结构,其中(非大)辐射元件在可重新配置的智能表面(RIS)前的短距离放置,此处绰号为可重构的智能基站(肋骨)。首先,我们在散发元素和捕获近场效应的RI之间得出了封闭式表达,并在这种情况下对通道硬化和有利的传播进行了一些考虑。我们专注于主动和被动RI,我们描述了适合肋骨结构的通道估计和下行链路信号处理技术。此外,我们制定并解决了一个优化问题,旨在在主动和被动肋骨的情况下,旨在最大程度地提高用户之间有关下行链路功率系数和RIS配置的公平性。数值结果表明,所提出的结构有效,并且能够超过常规的非RIS辅助MIMO系统,尤其是在有效肋骨的情况下。因此,提出的天线结构被证明能够以降低的硬件资源的成本有效方式以具有成本效益的方式达到庞大的MIMO性能水平。
This paper considers an antenna structure where a (non-large) array of radiating elements is placed at short distance in front of a reconfigurable intelligent surface (RIS), herein nicknamed reconfigurable intelligent base station (RIBS). We firstly derive a closed-form expression for the channel between the array of radiating elements and the RIS that captures the near-field effects, and give some considerations on the channel hardening and favorable propagation in this scenario. Focusing on both active and passive RIS, we describe channel estimation and downlink signal processing techniques suitable for the RIBS structure. Additionally, we formulate and solve an optimization problem aimed at maximizing the fairness among the users with respect to the downlink power coefficients and RIS configuration both in the cases of active and passive RIBS. Numerical results show that the proposed structure is effective and capable of outperforming conventional non-RIS aided MIMO systems, especially in the case of active RIBS. The proposed antenna structure is thus shown to be able to approach massive MIMO performance levels in a cost-effective way with reduced hardware resources.