论文标题
可重新配置智能表面辅助无细胞通信的渠道估计
Channel Estimation for Reconfigurable Intelligent Surface-Assisted Cell-Free Communications
论文作者
论文摘要
最近的研究集中在可重构智能表面（RIS）辅助的无细胞系统上，目的是增强覆盖范围并降低无细胞网络的成本。但是，当前的研究假设已知完美的渠道状态信息。在这种情况下，渠道获取当然是一个困难。这项工作旨在研究RIS辅助的无细胞通道估计。为此，指出了两个独特的特征：1）对于所有用户，基站（BS）和RIS之间存在一个公共渠道； 2）对于所有BS，RIS和用户之间都存在一个公共渠道。基于这两个特征，研究了级联和两次计算通道估计问题。随后，分别提出了两种解决两个问题的解决方案：基于三维的多重测量矢量（3D-MMV）的压缩传感技术和多BBS合作试验的方法减少方法。最后，模拟说明了我们提出的方案的有效性。
Recent research has focused on reconfigurable intelligent surface (RIS)-assisted cell-free systems with the goal of enhancing coverage and lowering the cost of cell-free networks. However, current research makes the assumption that the perfect channel state information is known. Channel acquisition is, certainly, a difficulty in this case. This work is aimed at investigating RIS-assisted cell-free channel estimation. Toward this end, two unique characteristics are pointed out: 1) For all users, a common channel exists between the base station (BS) and the RIS; and 2) For all BSs, a common channel exists between the RIS and the user. Based on these two characteristics, cascaded and two-timescale channel estimation concerns are studied. Subsequently, two solutions for tackling with the two issues are presented respectively: a three-dimensional multiple measurement vector (3D-MMV)-based compressive sensing technique and a multi-BS cooperative pilot-reduced methodology. Finally, simulations illustrate the effectiveness of the schemes we have presented.
