从移动基础设施向动态环境中的车辆分配资源的智能代理,可根据需求扩展
Renato Cumbal1, Berenice Arguero1, Germán V Arévalo1
1Carrera de Telecomunicaciones, Universidad Politécnica Salesiana, Quito 170525, Ecuador.
Sensors (Basel, Switzerland)
|January 28, 2026
概括
本研究介绍了车辆与基础设施 (V2I) 通信的智能框架,优化了路边单位 (RSU) 的放置和无线电资源分配. 该系统使用最小的RSU实现了90%以上的覆盖率,并为高效的智能运输系统动态管理资源.
科学领域:
- 智能运输系统 智能运输系统
- 无线通信无线通信
- 网络优化 网络优化
背景情况:
- 城市流动性面临着日益复杂的挑战,需要先进的通信框架.
- 现有的车辆到基础设施 (V2I) 系统需要有效的资源配置和基础设施部署策略.
研究的目的:
- 为V2I通信开发一个智能优化和资源配置框架.
- 在城市环境中提高车辆覆盖率和无线电资源效率.
主要方法:
- 宏观移动性分析与整数线性编程 (ILP) 集成,以实现最佳的路边单元 (RSU) 放置.
- 基于Q学习的智能通用网络控制器 (SGNC) 用于动态的无线电资源分配.
- 在一个现实的地理参考城市场景中进行模拟.
主要成果:
- ILP模型仅激活了2.9%的RSU,确保了90%以上的车辆覆盖率.
- SGNC 展示了稳定的资源分配,管理了 10 个天线和 120 个资源.
- 动态重新分配机制保持了系统容量的70%以上的效率.
结论:
- 拟议的框架为智能运输系统中的V2I部署提供了一个可扩展的解决方案.
- 与静态方法相比,动态资源分配显著提高了效率和覆盖范围的一致性.
- 智能框架有效地解决了现代城市移动的复杂性.
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