May 16, 2022, 1:11 a.m. | Hongyi Zhang, Jingya Li, Zhiqiang Qi, Xingqin Lin, Anders Aronsson, Jan Bosch, Helena Holmström Olsson

cs.LG updates on arXiv.org arxiv.org

Fast and reliable connectivity is essential to enhancing situational
awareness and operational efficiency for public safety mission-critical (MC)
users. In emergency or disaster circumstances, where existing cellular network
coverage and capacity may not be available to meet MC communication demands,
deployable-network-based solutions such as cells-on-wheels/wings can be
utilized swiftly to ensure reliable connection for MC users. In this paper, we
consider a scenario where a macro base station (BS) is destroyed due to a
natural disaster and an unmanned aerial …

arxiv autonomous learning navigation reinforcement reinforcement learning

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