空间-空中-地面综合网络传播通道研究综合模拟框架
Zekai Zhang1, Shaoyang Song2,3, Jingzehua Xu1
1Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
本研究介绍了空间-空气-地面集成网络 (SAGIN) 传播通道研究的模拟框架,解决现实世界的数据挑战. 该框架使用AI算法实现了高效的道模拟和场景识别.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 信号处理 信号处理
背景情况:
- 空间-空气-地面综合网络 (SAGIN) 对于下一代移动通信至关重要,提供可靠和适应性的覆盖范围.
- 传播道研究对于SAGIN系统设计和资源管理至关重要.
- 现实世界传播道研究在数据收集,部署和测试方面面临重大障碍.
研究的目的:
- 设计一个全面的模拟框架,以克服SAGIN传播道研究中的挑战.
- 为了促进在SAGIN的各种场景中模拟通讯道.
- 集成数据处理,智能识别和算法优化,用于模拟数据分析.
主要方法:
- 集成开源QuaDRiGa平台与自主开发的卫星频道模拟平台.
- 数据处理,智能识别和算法优化模块的模块化集成.
- 从频道脉冲响应 (CIR) 数据中提取典型的频道特征,用于场景识别.
主要成果:
- 为SAGIN传播道研究开发了一个功能模拟框架.
- 通过特征提取和基于AI的模型比较来证明场景识别.
- 在各种集成网络场景中成功模拟通信通道.
结论:
- 拟议的模拟框架有效地解决了SAGIN传播道研究中现实数据收集的局限性.
- 综合方法可以进行强大的通道模拟和传播特征的智能分析.
- 该研究为推进SAGIN网络设计和通过模拟道洞察力部署资源提供了宝贵的工具.
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