联合合作缓存和功率控制,用于无人机辅助的车辆互联网
Weiguang Wang1, Yang Liu1,2, Yusheng Dai3
1School of Information Engineering, Henan University of Science and Technology, Luoyang, China.
Scientific reports
|April 23, 2024
概括
本研究介绍了无人机辅助的车辆互联网 (IoV) 的联合优化方法,通过管理频谱稀缺和拥堵来提高能源效率 (EE).
科学领域:
- 无线通信网络是无线通信网络.
- 车辆通信系统 车辆通信系统
- 在 IoV 中的资源管理
背景情况:
- 频谱稀缺,网络拥堵和低能耗是无人机辅助IoV的关键挑战.
- 现有的方法难以同时优化合作缓存和功率控制,以提高能源效率.
研究的目的:
- 为无人机辅助 IoV 中的合作缓存和功率控制提出联合优化方法.
- 通过解决频谱资源短缺和网络拥堵问题,提高整体能源效率 (EE).
- 开发一种新的方法,在动态的 IoV 环境中最大限度地利用 EE.
主要方法:
- 引入通信机构门,以控制V2V通信距离,优化资源配置.
- 为卸载比率和EE的衍生闭式表达式.
- 制定了一个优化问题来最大化EE,解决缓存和功率控制之间的合.
- 开发了一个交替优化算法来解决复杂的优化问题.
主要成果:
- 提出的联合优化方法有效地提高了无人机辅助 IoV 的能源效率 (EE).
- 实验模拟证明了拟议方法在现有方法上的优越性.
- 通信机构的门被证明是共同优化的有效因素.
结论:
- 合作缓存和电源控制的联合优化对于在无人机辅助 IoV 中增强 EE 是至关重要的.
- 提出的交替优化算法为复杂的资源管理问题提供了有效的解决方案.
- 这项研究为高效和可持续的 IoV 网络提供了一个有希望的方向.
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