多IRS辅助的毫米波UAV-BS网络用于覆盖范围的扩展
Sota Yamamoto1, Jin Nakazato2, Gia Khanh Tran1
1Department of Electrical and Electronic Engineering, School of Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, Japan.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
智能反射表面 (IRS) 在超越5G/6G网络中增强无人驾驶飞行器 (UAV) 的毫米波 (mmWave) 通信. 这种集成可以促进高清视频传输,并扩大城市环境中的网络覆盖范围.
科学领域:
- 电信工程 电信工程 电信工程
- 无线通信系统无线通信系统
- 网络优化 网络优化
背景情况:
- 工业5.0依赖于人工智能,物联网和大数据来实现经济增长和社会解决方案.
- 数字双胞胎技术和无人机 (UAV) 是这一转型的关键组成部分.
- 现有的无人机网络面临带宽限制,阻碍了非地面网络 (NTNs) 的高清数据传输.
研究的目的:
- 通过整合毫米波 (mmWave) 技术来解决无人机网络中的带宽限制.
- 通过使用智能反射表面 (IRS) 和无人机,提高超越5G/6G网络的高速通信覆盖率.
- 确保虚拟视线 (LoS) 条件对于毫米波通信至关重要.
主要方法:
- 整合IRS与UAV网络进行毫米波通信.
- 开发一种IRS选择方法,以优化无人机与用户设备 (UE) 之间的通信路径.
- 在3D城市环境模型中进行数值分析.
主要成果:
- 通过IRS集成,多个UE的接收信号与噪声比率 (SNR) 得到了显著的改善.
- 为毫米波无人机网络扩展覆盖范围的可行性.
- 通过现实的3D城市环境模拟来验证拟议的方法.
结论:
- 拟议的IRS集成的毫米波无人机网络方法有效地提高了通信覆盖范围和性能.
- 对于优化超越5G/6G网络的连接,IRS的选择至关重要.
- 这项技术为高清视频传输和在城市环境中扩大网络覆盖范围提供了可行的解决方案.
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