发表机构
Zhejiang University; Zhejiang Lab; College of Communications and Engineering, Army Engineering University of PLA; Macau University of Science and Technology（浙江大学; 之江实验室; 中国人民解放军陆军工程大学通信工程学院; 澳门科技大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对灾后无线覆盖中断问题，提出基于JEPA无线电世界模型与PPO演员交替更新的WONDER框架，在含62个城市场景的RadioDynamics仿真中，其平衡得分0.870，覆盖优于STACCA且保持无人机全连通。
AI 中文摘要
灾后地面基础设施损坏会导致无线覆盖中断，而无人机（UAV）集群为快速覆盖提供了有前景的解决方案。但由于局部几何观测、隐藏无线电影响以及无人机间通信的限制，局部可见的移动选择与集群级覆盖目标之间存在显著差距。为解决这一差距，我们提出了一种用于分布式无人机覆盖的基于无线电世界模型的优化协商框架（WONDER）。具体而言，为应对机载观测无法获取未来无线电场的问题，WONDER采用基于联合嵌入预测架构（JEPA）的无线电世界模型，从部署可用数据中学习并预测每个候选轨迹的增量无线电效应。WONDER的多轮协商通过依次提交一个轨迹并在更新的上下文下重新评估剩余提议来协调排名后的提议。我们的理论分析进一步验证了这种基于世界模型的框架的有效性。WONDER还采用了近端策略优化（PPO）式的演员，并在更新世界模型和演员之间交替进行。此外，我们构建了RadioDynamics，这是一个综合仿真环境，集成了无人机移动性、无线电传播、无人机间通信建模以及带有62个城市场景射线追踪场的数字孪生几何。在RadioDynamics的11个测试场景上的实验表明，WONDER在7种评估方法中实现了最高的平衡得分，达到0.870，比STACCA具有0.162的覆盖优势，同时保持无人机间100%的连通性。
英文摘要
Post-disaster damage to terrestrial infrastructure can disrupt wireless coverage,while Uncrewed Aerial Vehicle (UAV) swarms provide a promising solution for rapid restoration.However, due to the limitations in local geometry observations hidden radio impact,and inter-UAV communication,there exists a significant gap between locally visible movement choices and swarm-level coverage outcomes.To combat this gap,we propose a raido World-model-based Optimized Negotiation framework for Distributed UAV covERage (WONDER).Particularly, to tackle the unavailability of the future radio field from onboard observations, WONDER uses a Joint-Embedding Predictive Architecture (JEPA)-based radio world model to learn and predict the incremental radio effect of each candidate trajectory from deployment-available information.Multi-round negotiation in WONDER then coordinates ranked proposals by committing one trajectory at a time and re-evaluating the remaining proposals under the updated context. Our theoretical analyses further validate the effectiveness of such a world model-based framework. WONDER also adopts a Proximal Policy Optimization (PPO)-style Actor and alternates between updating the world model and the actor. Furthermore,we build RadioDynamics,a comprehensive simulation environment that integrates UAV mobility,radio propagation, inter-UAV communication modeling,and digital-twin geometry with ray-traced fields in $62$ metropolitan scenes.Experiments on $11$ testing scenes in RadioDynamics show that WONDER achieves the highest balanced score among seven evaluated methods,reaching $0.870$ with a $0.162$ coverage advantage over STACCA, while maintaining $100\%$ connectivity between UAVs.
