对于卫星边缘计算网络的联合任务卸载和功率分配
Yuxuan Li1, Shibing Zhu1, Ting Xiong1
1School of Space Information, Space Engineering University, Beijing 101416, China.
Sensors (Basel, Switzerland)
|May 14, 2025
概括
本研究介绍了卫星边缘计算网络 (SECN) 的多卫星协作卸载. 一个新的算法通过优化多个低地球轨道卫星的任务分配和传输功率来最大限度地减少延迟.
科学领域:
- 太空技术 太空技术
- 计算机工程 计算机工程
- 网络工程 网络工程
背景情况:
- 低地轨道 (LEO) 卫星网络对于导航,远程通信和灾害警告至关重要.
- 卫星边缘计算 (SEC) 通过将移动边缘计算 (MEC) 更接近用户来增强服务.
- 单个LEO卫星在处理密集任务时面临限制,导致过载和延迟.
研究的目的:
- 通过提出多卫星协作卸载来解决SEC的计算局限性.
- 在卫星边缘计算网络 (SECN) 中,尽量减少服务延迟并延长卫星寿命.
- 通过考虑传输功率和任务分配比率来优化计算卸载.
主要方法:
- 在功率和能量限制下,制定最大延迟最小化问题的公式.
- 开发一个分布式余额增加惩罚的双分解 (DB-IPDD) 算法.
- 使用三层计算结构来利用多卫星资源.
主要成果:
- 拟议的DB-IPDD算法有效地管理了SECN中的计算卸载.
- 与单个卫星解决方案相比,多卫星方法显著降低了服务延迟.
- 模拟结果验证了拟议的解决方案优于基线方案的优势.
结论:
- 多卫星协作卸载是提高SECN性能的一种可行的策略.
- DB-IPDD算法为优化资源分配和最小化延迟提供了有效的解决方案.
- 这种方法为未来的LEO卫星网络应用提供了可扩展和有效的方法.
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