低至零开销的IRS重配置：解耦照明和信道估计
Low-to-Zero-Overhead IRS Reconfiguration: Decoupling Illumination and Channel Estimation
摘要：
智能反射面（IRSs）的优化，到目前为止开发的大多数算法都需要完整的信道状态信息（CSI）的知识。然而，由此产生的捕获开销构成了在实践中实现IRS辅助的无线系统的主要瓶颈。相比之下，在本文中，专注于从基站（BS）到移动用户（MU）的下行链路传输，位于一个阻塞区域，我们建议优化IRS的照明区域为中心的MU周围。因此，所提出的设计需要估计MU的位置而不是完整的CSI。对于给定的IRS相移配置，然后可以使用常规信道估计技术来估计端到端BS-IRS-MU信道。所提出的方案的IRS重新配置开销取决于MU移动性以及IRS照明的覆盖范围有多宽。因此，我们开发了一个通用的IRS相移设计，这是有效的近场和远场制度，并具有一个参数，用于调整照明区域的大小。此外，我们研究了一种特殊的情况下，IRS照亮整个阻塞区域，这意味着IRS相移不随时间变化，从而导致零开销IRS重新配置。
英文摘要：
Most algorithms developed so far for the optimization of Intelligent Reflecting Surfaces (IRSs) require knowledge of full Channel State Information (CSI). However, the resulting acquisition overhead constitutes a major bottleneck for the realization of IRS-assisted wireless systems in practice. In contrast, in this paper, focusing on downlink transmissions from a Base Station (BS) to a Mobile User (MU) that is located in a blockage region, we propose to optimize the IRS for illumination of the area centered around the MU. Hence, the proposed design requires the estimation of the MU's position and not the full CSI. For a given IRS phase-shift configuration, the end-to-end BS-IRS-MU channel can then be estimated using conventional channel estimation techniques. The IRS reconfiguration overhead for the proposed scheme depends on the MU mobility as well as how wide the coverage of the IRS illumination is. Therefore, we develop a general IRS phase-shift design, which is valid for both the near- and far-field regimes and features a parameter for tuning the size of the illumination area. Moreover, we study a special case where the IRS illuminates the entire blockage area, which implies that the IRS phase shifts do not change over time leading to zero overhead for IRS reconfiguration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
