IRS-Enabled IoT Network Simulator With Dynamic Sensing and Multi-Node Performance Analysis

This MATLAB script implements a simulation framework for an IRS-assisted IoT network with multiple nodes in a 3D environment. The code integrates a number of advanced wireless features, including elevation-aware IRS phase alignment, dynamic spectrum sensing for channel allocation, inter-node interference modeling, and Doppler effects from node mobility. Operating at microwaves with configurable elements, the system achieves realistic performance metrics through iterative optimization. This framework can be deployed and extended for practical performance evaluations of IRS-based IoT communications in various scenarios and environments, making it a valuable foundation for designing and optimizing next-generation IRS-enhanced wireless networks.

本MATLAB脚本实现了面向三维环境下多节点智能反射面（Intelligent Reflecting Surface, IRS）辅助物联网（Internet of Things, IoT）网络的仿真框架。该代码集成了多项先进无线通信特性，涵盖基于仰角感知的智能反射面相位对齐、面向信道分配的动态频谱感知、节点间干扰建模以及节点移动性引发的多普勒效应模拟。该系统工作于微波频段且支持可配置反射单元，通过迭代优化手段得到贴合实际场景的性能指标。本框架可针对各类场景与环境下基于智能反射面的物联网通信开展实际性能评估并进行扩展，可为下一代智能反射面增强型无线网络的设计与优化提供极具价值的研究基础。