对于支持RSMA的无人机-VLC网络的资源分配和路径规划,考虑到无人机动
Applied optics
|August 12, 2025
概括
这项研究优化了无人机 (UAV) 辅助的可见光通信 (VLC) 网络,使用率分割多重访问 (RSMA). 它通过解决路径规划和电力分配挑战来提高通信质量和效率.
科学领域:
- 无线通信无线通信
- 光学通讯是指光学通讯.
- 机器人技术 机器人技术 机器人技术
背景情况:
- 无人机 (UAV) 辅助的可见光通信 (VLC) 对于夜间应用至关重要.
- 有限的无人机有效载荷和高质量的通信需求带来了重大挑战.
- 现有的方法在动态UAV-VLC环境中努力平衡能源效率和传输速率.
研究的目的:
- 提出一种新的速度分割多重访问 (RSMA) 支持的无人机-VLC网络模型.
- 为应对动效应和不完美的通道状态信息 (CSI) 所带来的挑战.
- 优化网络以实现最低能耗和最大传输速率.
主要方法:
- 制定了一个多目标优化问题,并将其分解为路径规划和功率分配子问题.
- 路径规划使用了一个悬浮点微调算法和模拟化 (SA) 来进行轨迹优化.
- 电力分配采用线性分数编程 (LFP) 和连续凸近似 (SCA) 来确保凸度.
主要成果:
- 提出的算法有效优化了无人机轨迹和功率分配.
- 支持RSMA的网络在考虑的约束条件下表现得更好.
- 模拟结果验证了拟议方法在平衡能量和速度方面的有效性.
结论:
- 开发的支持RSMA的UAV-VLC框架有效地解决了通信质量和能源效率方面的挑战.
- 路径规划和功率分配的综合方法为无人机通信系统提供了强大的解决方案.
- 这项研究为优化各种应用的空中通信网络提供了重大进展.
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