The reconfigurable intelligent surface (RIS) has arose an upsurging research interest recently due to its promising outlook in 5G-and-beyond wireless networks. With the assistance of RIS, the wireless propagation environment is no longer static and could be customized to support diverse service requirements. In this paper, we will approach the rate maximization problems in RIS-aided wireless networks by considering the beamforming and reflecting design jointly. Three representative design problems from different system settings are investigated based on a proposed unified algorithmic framework via the block minorization-maximization (BMM) method. Extensions and generalizations of the proposed framework in dealing with some other related problems are further presented. Merits of the proposed algorithms are demonstrated through numerical simulations in comparison with the state-of-the-art methods.

翻译：由于对5G超越无线网络的前景大有希望,可重新配置的智能表面(RIS)最近引起了大量研究兴趣。在RIS的帮助下,无线传播环境不再是静态的,可以定制,以满足多种服务要求。在本文中,我们将通过考虑光束成形和联合反映设计来应对RIS辅助无线网络的费率最大化问题。不同系统环境的三个有代表性的设计问题是根据拟议的统一算法框架,通过区块小化-最大化(BMM)方法来调查的。还进一步介绍了拟议框架在处理其他一些相关问题方面的扩展和概括。提议的算法的优点是通过数字模拟与最新方法进行比较来证明的。