多个无人机辅助的ISAC系统:联合用户协会,轨道设计和资源分配
相关实验视频
Updated: Jan 16, 2026

10:09
Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
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Jinwei Wang1, Renhui Xu1, Laixian Peng1
1The College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China.
Entropy (Basel, Switzerland)
|September 27, 2025
概括
这项研究增强了无人驾驶飞行器 (UAV) 辅助的集成传感和通信 (ISAC) 系统,以防止干扰和用户移动. 拟议的多无人机系统通过优化无人机和预测用户位置,显著提高了通信速度.
科学领域:
- 6G无线网络的无线网络
- 综合传感和通信 (ISAC) 系统
背景情况:
- 无人机辅助的ISAC系统由于地面用户的移动性和恶意干扰而面临性能挑战.
- 在动态的6G环境中确保系统可靠性和性能至关重要.
研究的目的:
- 设计和优化一个多无人机辅助的ISAC系统模型,抵御恶意干扰和用户移动.
- 在传感精度限制下最大化总通信速率.
主要方法:
- 使用改进的拍卖算法 (IAA),梦想优化算法 (DOA) 和基于随机树的快速探索优化算法 (RRTOA) 的用户协会,无人机轨迹和传输功率的联合优化.
- 基于交替优化的预测调度算法 (AOPSA) 为全球最佳解决方案.
- 长短期内存 (LSTM) 网络用于动态用户位置预测.
主要成果:
- 与基线方案相比,拟议的算法显示通信速度有188%的改善.
- 有效地缓解用户移动造成的性能下降.
- 在干扰环境中提高实时性能和系统可靠性.
结论:
- 开发的多无人机ISAC系统有效地解决了6G网络中干扰和用户移动性的挑战.
- 提出的优化和预测策略显著提高了系统通信速率和可靠性.
- 该研究验证了设计系统对现有方法的优越性.
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