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Latency Control in Edge Information Cache and Dissemination for Unmanned Mobile Machines

机译：边缘信息缓存中的延迟控制和无人移动机器的分发

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摘要

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.
机译：促进人类活动的无人技术被认为是赋予全自动和智能生态系统能力的最有希望的创新。为了扩展人类的处理能力，无人移动机器（UMM）被指定为在变化的操作条件下最佳地处理动作，这依赖于通过现有蜂窝基础结构提供即时信息，并使对信息获取的等待时间控制成为不可避免的挑战。为此，在网络边缘缓存信息已成为减少大量等待时间的一种补救方法，但是它忽略了实际的小区部署，从而导致热点和农村地区每个UMM的无线服务不平衡。本文通过公式化Lyapunov函数，提出了一种在稳定每个UMM队列的同时优化前传资源利用率的算法，用于边缘区域的边缘信息缓存和分发。此外，通过将成本计量表述为Cobb-Douglas生产函数，还可以为农村地区的UMM推导最佳的缓存开始时间。通过提供的分析基础和仿真研究，充分证明了我们的延迟控制方案的有效性。

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