论文标题
分布式总和率最大化蜂窝通信具有多个可重构智能表面
Distributed Sum-Rate Maximization of Cellular Communications with Multiple Reconfigurable Intelligent Surfaces
论文作者
论文摘要
可重新配置的智能表面(RISS)的技术最近吸引了学术界和行业的极大兴趣,作为覆盖范围扩展和信号传播控制的低成本解决方案。在本文中,我们研究了一个包括单人体式基站(BSS)及其相关的单人体用户以及多个被动RISS的多细胞宽带通信系统的下行链路。我们假设每个BS都控制一个单独的RIS并执行正交频施加多路复用(OFDM)传输。与以前的各种作品不同的是,RIS单元元素被认为是频率平台相移,我们将它们建模为Lorentzian谐振器,并呈现BSS功率分配的联合设计,以及多个RIS的相位剖面,以多电池系统的总和最大化为目标。我们制定了一个具有挑战性的分布式非凸优化问题,该问题是通过连续的凹近似来解决的。讨论了所提出的设计的分布式实现,并在总和速率上展示了各种系统参数的相互作用,从而验证了RISS的性能提升作用。
The technology of Reconfigurable Intelligent Surfaces (RISs) has lately attracted considerable interest from both academia and industry as a low-cost solution for coverage extension and signal propagation control. In this paper, we study the downlink of a multi-cell wideband communication system comprising single-antenna Base Stations (BSs) and their associated single-antenna users, as well as multiple passive RISs. We assume that each BS controls a separate RIS and performs Orthogonal Frequency Division Multiplexing (OFDM) transmissions. Differently from various previous works where the RIS unit elements are considered as frequency-flat phase shifters, we model them as Lorentzian resonators and present a joint design of the BSs' power allocation, as well as the phase profiles of the multiple RISs, targeting the sum-rate maximization of the multi-cell system. We formulate a challenging distributed nonconvex optimization problem, which is solved via successive concave approximation. The distributed implementation of the proposed design is discussed, and the presented simulation results showcase the interplay of the various system parameters on the sum rate, verifying the performance boosting role of RISs.