标题： 基于Q学习的RIS辅助通信中的自适应被动波束成形 显示英文标题

标题： Adaptive Passive Beamforming in RIS-Aided Communications With Q-Learning

摘要： 可重构智能表面（RIS）似乎是一种有前景的解决方案，用于对抗无线信道衰落和干扰。然而，RIS的元素需要被适当定向以提升数据传输速率。在这项工作中，我们提出了一种新的策略来自适应地配置RIS而无需信道状态信息（CSI）。我们的目标是最小化需要测试的RIS配置数量以找到最优配置。我们将问题表述为一个随机最短路径问题，并使用Q学习来解决它。 显示英文摘要

摘要： Reconfigurable Intelligent Surfaces (RIS) appear as a promising solution to combat wireless channel fading and interferences. However, the elements of the RIS need to be properly oriented to boost the data transmission rate. In this work, we propose a new strategy to adaptively configure the RIS without Channel State Information (CSI). Our goal is to minimize the number of RIS configurations to be tested to find the optimal one. We formulate the problem as a stochastic shortest path problem, and use Q-Learning to solve it.