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

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DataCite Commons2024-12-31 更新2025-04-16 收录
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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脚本构建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,涵盖考虑高度信息的IRS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引发的多普勒效应。该系统工作于微波频段且支持可配置反射单元,通过迭代优化实现贴合实际场景的性能指标评估。本框架可部署并扩展,用于多场景、多环境下基于IRS的IoT通信的实际性能评测,可为下一代IRS增强型无线网络的设计与优化提供极具价值的研究基础。

提供机构:
IEEE DataPort
创建时间:
2024-12-31
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