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一种基于毫米波的FANET拓优化的WaveGAN方法
Enas Odat1, Hakim Ghazzai2, Ahmad Alsharoa1
1Electrical and Computer Engineering Department, Missouri University of Science and Technology, Rolla, MO 65401, USA.
Sensors (Basel, Switzerland)
|January 11, 2024
概括
本研究介绍了WaveGAN,这是一个生成对抗网络方法,用于优化飞行特设网络 (FANET) 用毫米波 (mmWave) 通信. WaveGAN 快速找到高效的网络拓,以最大限度地提高数据吞吐量.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 网络工程 网络工程
背景情况:
- 与毫米波 (mmWave) 技术集成的飞行特设网络 (FANET) 为数据密集型应用提供高数据传输.
- 在动态FANET中有效的毫米波通信需要在无人机 (UAV) 之间精确的天线对齐.
- 优化网络拓和天线对齐对于强大的FANET性能至关重要.
研究的目的:
- 提出一种新的方法,以快速优化FANET拓和毫米波通信的天线对齐.
- 通过选择具有优越通道条件的最佳通信路径来最大限度地提高网络吞吐量.
- 为应对动态无人机网络中精确天线对齐的挑战.
主要方法:
- 一种基于生成对抗网络 (GAN) 的方法,名为WaveGAN,被建议用于FANET拓优化.
- 波浪GAN模型学习如何从监督数据集中生成优化的网络拓.
- 一个光束搜索算法细化生成的拓,以满足基于毫米波的FANET结构要求.
主要成果:
- 模拟结果表明,拟议的WaveGAN方法能够快速确定优化的FANET拓.
- 该方法在不同规模的网络中实现了非常小的最佳性差距.
- WaveGAN有效地识别了具有最大化吞吐量最佳通道条件的通信路径.
结论:
- 提出的WaveGAN方法为优化支持毫米波的FANET提供了一个有效的解决方案.
- 这种方法可以快速确定网络拓,提高整体网络性能和吞吐量.
- WaveGAN是一种有前途的技术,用于在无人机通信网络中管理动态天线对齐和拓.
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