Latency control in Edge information cache and dissemination for unmanned mobile machines

Unmanned technologies facilitating human activities have been regarded as the most promising innovation to empower fully automatic and intelligent ecosystems. Targeting at extending the processing capabilities of humans, unmanned mobile machines (UMMs) are designated to optimally process the action under varying operating conditions, which relies on prompt information provisioning through existing cellular infrastructures, and renders latency control to information acquisition an inevitable challenge. For this purpose, caching information at network edges has been a remedy for substantial latency reduction, which however ignores practical cell deployment inducing imbalanced wireless services to each UMM in hotspot and rural areas. In this paper, through formulating the Lyapunov function, an algorithm optimizing the utilization of fronthaul resources while stabilizing each UMM's queue is proposed for edge information cache and dissemination in hotspot areas. Furthermore, through formulating the cost measurement as the Cobb-Douglas production function, the optimal beginning time of cache is also derived for UMMs in rural areas. With the provided analytical foundations and simulation studies, the effectiveness of our latency control scheme is fully demonstrated.