在层次的空中计算网络中,可重新配置的智能表面辅助无人机中的相位转移优化
Basma Diaa1, Ibrahim I Ibrahim2, Ahmed M Abdelhaleem2
1Department of Electronics and Communications Engineering, Faculty of Engineering, Helwan University, Cairo, Egypt. basma.diaa@h-eng.helwan.edu.eg.
Scientific reports
|March 2, 2026
概括
与空中计算网络集成的可重配置智能表面 (RIS) 增强了6G物联网 (IoT) 服务. 这种方法在大规模的物联网部署中显著提高了系统吞吐量和任务完成率.
科学领域:
- 无线通信无线通信
- 网络工程 网络工程
- 计算机科学 计算机科学
背景情况:
- 6G无线网络的发展需要针对物联网 (IoT) 大规模部署的先进解决方案.
- 传统的地面基础设施在满足未来物联网前所未有的计算和通信要求方面面临限制.
研究的目的:
- 开发一个全面的框架,将可重新配置的智能表面 (RIS) 技术与层次的空中计算网络集成在一起.
- 通过使用配备RIS的无人机 (UAV) 和高空平台 (HAP) 来创建三层计算层次结构来解决地面基础设施的局限性.
主要方法:
- 一个系统模型,将配备RIS的无人机作为移动边缘计算节点与高空平台 (HAP) 结合起来,用于高容量计算.
- 在复杂的圆形多样体上,以里曼联梯度问题制定RIS相位优化.
- 一个三阶段的顺序分解方法,以优化RIS阶段配置.
主要成果:
- 与没有RIS的系统相比,RIS增强系统实现了18%的吞吐量改善.
- 证明了近线性可扩展性,为大约100%的可用物联网设备提供服务.
- 在所有网络负载中保持了95%的任务完成率,超过了可比算法.
结论:
- 支持RIS的空中网络为可扩展和高效的6G物联网服务提供了变革性的解决方案.
- 智能相位配置提高了频道质量,改善了资源利用和服务提供.
- 该框架证明了未来多无人机场景和节能设计的实际可行性.
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