论文标题
无线2.0：朝着可重新配置的元曲面和人工智能授权的智能无线电环境
Wireless 2.0: Towards an Intelligent Radio Environment Empowered by Reconfigurable Meta-Surfaces and Artificial Intelligence
论文作者
论文摘要
我们介绍了“无线2.0”：无线通信网络的未来一代，通过利用可重新配置的元信息和人工智能（AI）的新兴技术来控制无线电环境。特别是，本文重点是基于AI的计算方法，并从概述基于可重构的元曲面的智能无线电环境的概念开始。稍后，我们详细介绍了数据管理方面，示例监督学习的要求以及强化学习的范式（RL），以通过行动来学习。最后，我们重点介绍了许多开放挑战和研究方向。
We introduce "Wireless 2.0": The future generation of wireless communication networks, where the radio environment becomes controllable, programmable, and intelligent by leveraging the emerging technologies of reconfigurable metasurfaces and artificial intelligence (AI). This paper, in particular, puts the emphasis on AI-based computational methods and commence with an overview of the concept of intelligent radio environments based on reconfigurable meta-surfaces. Later we elaborate on data management aspects, the requirements of supervised learning by examples, and the paradigm of reinforcement learning (RL) to learn by acting. Finally, we highlight numerous open challenges and research directions.
