Advances in artificial intelligence (AI) techniques have offered great opportunities for the optimization of sustainable energy systems. AI techniques rely on the collection of big data, and thus it is necessary to design a fast and reliable communication network to support the need. This article studies the 6G network design based on the intelligent reflective surface (IRS) to realize an extraordinary communication platform. The IRS technology allows wireless providers to improve the RF environment by redirecting the signal to the desired location. In particular, we propose a deep reinforcement learning (DRL) method to adjust the parameters of IRS to ensure the signal quality of the 6G network. Numerical results demonstrate that our proposed IRS-based 6G network design can significantly improve the monitoring and management of sustainable energy systems.

中文翻译：

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用于可持续能源基础设施的基于智能反射面的 6G 通信

人工智能 (AI) 技术的进步为优化可持续能源系统提供了巨大机遇。人工智能技术依赖于大数据的收集，因此需要设计一个快速可靠的通信网络来支持需求。本文研究了基于智能反射面（IRS）的6G网络设计，以实现一个非凡的通信平台。IRS 技术允许无线提供商通过将信号重定向到所需位置来改善射频环境。特别是，我们提出了一种深度强化学习（DRL）方法来调整IRS的参数，以保证6G网络的信号质量。