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DSWM: Decomposed Spatio-Temporal World Model for Demand-Driven UAV Base Station Repositioning

Zhong, Shengjie et al.
arXiv (All) · Papers
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artificial-intelligencec-2-1i-2-6machine-learningnetworking-and-internet-architecture
Uncrewed aerial vehicle base stations (UAV-BSs) are expected to cover traffic demand that shifts across space and time, yet most repositioning schemes either re-solve an optimization problem per slot or learn reactive policies without an explicit demand model. We cast demand-driven fleet repositioni
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