Deploying Intelligent reflecting surfaces (IRSs) to enhance wireless transmission is a promising approach. In this paper, we investigate large-scale multi-IRS-assisted multi-cell systems, where multiple IRSs are deployed in each cell. Different from the full-buffer scenario, the mutual interference in our system is not known a priori, and for this reason we apply the load coupling model to analyze this system. The objective is to minimize the total resource consumption subject to user demand requirement by optimizing the reflection coefficients in the cells. The cells are highly coupled and the overall problem is non-convex. To tackle this, we first investigate the single-cell case with given interference, and propose a low-complexity algorithm based on the Majorization-Minimization (MM) method to obtain a locally optimal solution. Then, we embed this algorithm into an algorithmic framework for the overall multi-cell problem, and prove its feasibility and convergence to a solution that is at least locally optimal. Simulation results demonstrate the benefit of IRS in time-frequency resource utilization in the multi-cell system.

中文翻译：

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多 IRS 辅助多小区系统中干扰耦合的资源优化

部署智能反射面 (IRS) 来增强无线传输是一种很有前景的方法。在本文中，我们研究了大规模多 IRS 辅助的多小区系统，其中每个小区部署了多个 IRS。与全缓冲方案不同，我们系统中的相互干扰不是先验的，因此我们应用负载耦合模型来分析该系统。目标是通过优化小区中的反射系数来最小化受用户需求要求的总资源消耗。单元高度耦合，整体问题是非凸的。为了解决这个问题，我们首先研究给定干扰的单小区情况，并提出了一种基于主最小化（MM）方法的低复杂度算法以获得局部最优解。然后，我们将该算法嵌入到整体多单元问题的算法框架中，并证明其可行性和收敛到至少是局部最优的解决方案。仿真结果证明了 IRS 在多小区系统中时频资源利用方面的优势。