We consider the problem of signaling rate and performance for an efficient control and management of RIS reconfigurations and handover in next generation mobile networks. To this end, we first analytically determine the rates of RIS reconfigurations and handover using a stochastic geometry network model. We derive closed-form expressions of these rates while taking into account static obstacles (both known and unknown), self-blockage, RIS location density, and variations in the angle and direction of user mobility. Based on the rates derived, we analyze the signaling rates of a sample novel signaling protocol, which we propose as an extension of an handover signaling protocol standard in mobile networks. The results quantify the impact of known and unknown obstacles on the RIS and handover reconfiguration rate as function of device density and mobility. We use the proposed analysis to evaluate the signaling overhead due to RIS reconfigurations, as well as to dimension the related RIS control plane server capacity in the network management system. To the best of our knowledge, this is the first analytical model to derive the closed form expressions of RIS reconfiguration rates, along with handover rates, and relate its statistical properties to the signaling rate and performance in next generation mobile networks.

翻译：本文研究了下一代移动网络中RIS重配置与切换高效控制管理的信令速率与性能问题。为此，我们首先采用随机几何网络模型对RIS重配置与切换速率进行解析推导。在推导闭式表达式的过程中，综合考虑了静态障碍物（已知与未知）、自遮挡效应、RIS部署密度以及用户移动角度与方向的变化。基于所得速率，我们对一种新型信令协议样本进行信令速率分析，该协议是现有移动网络切换信令协议标准的扩展。研究结果量化了已知与未知障碍物对RIS及切换重配置速率的影响，并揭示了该影响随设备密度与移动性变化的函数关系。通过所提出的分析框架，我们评估了RIS重配置带来的信令开销，并对网络管理系统中相关RIS控制平面服务器的容量进行规划。据我们所知，这是首个推导RIS重配置速率与切换速率闭式表达式的解析模型，并将其统计特性与下一代移动网络中信令速率及性能相关联的研究。