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Metaverse-aware UAV deployment for wireless connectivity: A robust optimization framework
DOI:10.1016/j.adhoc.2026.104250.png)
Abstract
En 中文
Delivering seamless, low-latency, and high-throughput wireless connectivity is essential for emerging metaverse applications, where users engage in immersive experiences such as VR conferencing, digital classrooms, and virtual exhibitions. These applications demand real-time interaction and high network reliability; otherwise, latency spikes, disconnections, and degraded realism can severely compromise user experience and limit large-scale adoption. To address these challenges, we propose a robust optimization framework for the deployment of unmanned aerial vehicles (UAVs) aimed at providing uninterrupted wireless connectivity to metaverse-based users, herein referred to as meta users. The novelty of this work lies in jointly optimizing UAV placement, user association, user–UAV distance, and cost efficiency while incorporating spatial uncertainty and user mobility. We formulate a multi-objective integer linear programming model and develop an efficient hybrid method that uses branch and bound (B&B) algorithm and a low-complexity iterative rounding algorithm (IRA). We specifically target the worst-case scenarios by considering robust user associations, especially for edge and mobile users to ensure scalable and adaptive wireless coverage in a dynamic 3D metaverse space. The results demonstrate that the framework enhances scalability, adaptability, and resilience of 3D wireless coverage, establishing a promising foundation for future exploration into autonomous UAV coordination and intelligent, self-optimizing network infrastructures for next-generation immersive communication systems.
Keywords:
UAV deployment
wireless connectivity
metaverse
robust optimization
user association
Journal
IF:
4.8
Papers:
486
Citations:
6.2K

