Reconfigurable Intelligent Surfaces (RIS) have recently emerged as a hot research topic, being widely advocated as a candidate technology for next generation wireless communications. These surfaces passively alter the behavior of propagation environments enhancing the performance of wireless communication systems. In this paper, we study the use of RIS in cell-free multiple-input multiple-output (MIMO) setting where distributed service antennas, called Access Points (APs), simultaneously serve the users in the network. While most existing works focus on the physical layer improvements RIS carry, less attention has been paid to the impact of dynamic arrivals and departures of the users. In such a case, ensuring the stability of the network is the main goal. For that, we propose an optimization framework of the phase shifts, for which we derived a low-complexity solution. We then provide a theoretical analysis of the network stability and show that our framework stabilizes the network whenever it is possible. We also prove that a low complexity solution of our framework stabilizes a guaranteed fraction (higher than 78.5%) of the stability region. We provide also numerical results that corroborate the theoretical claims.
翻译:重新配置的智能表面(RIS)最近成为一个热点研究课题,被广泛提倡为下一代无线通信的候选技术。这些表面被动地改变了传播环境提高无线通信系统性能的行为。在本文中,我们研究了在无细胞多投入多产出产出(MIIMO)设置的分布式服务天线(称为接入点)的同时为网络用户服务的地方使用RIS。虽然大多数现有工程侧重于物理层改进,但对于用户动态到达和离开的影响重视较少。在这种情况下,确保网络稳定是主要目标。为此,我们提出了一个阶段转移优化框架,为此我们提出了低兼容性解决方案。我们随后对网络稳定性进行了理论分析,并表明我们的框架尽可能稳定网络。我们还证明,我们框架的低复杂度解决方案稳定了稳定区域的一个保障部分(高于78.5 % ) 。我们还提供了支持理论主张的量化结果。