Air-Interface Slice Based Dynamic Resource Reservation for Ultra-Low-Latency IoT Transmissions

Guolin Sun, Guohui Wang, Guisong Liu
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引用次数: 3

Abstract

The ultra-low latency transmission for emergency services needs an effective resources management scheme to deliver content in few milliseconds. The traditional solutions can't guarantee the ultra-low latency performance required by such traffic. In this paper, we propose an air-interface slice based dynamic resource reservation schema for a massive number of sensors with emergency flows in the context of the next generation cellular networks. The proposed schema allows ultra-low latency flows to be transported by guaranteed-rate radio link connection with a content name as identifier and it achieves air-interface latency in few milliseconds. The dynamic bit-map update, silence probability and window-based re-transmission are introduced based on the Frame Slotted Aloha, which can schedules the delay-sensitive flows immediately from one or many groups of connected terminals. Furthermore, a probability theory based analytic model is provided and evaluated with Monte-Carlo simulation results.
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基于空接口切片的超低延迟物联网传输动态资源预留
应急服务的超低延迟传输需要一种有效的资源管理方案,在几毫秒内传送内容。传统的解决方案无法保证这种流量所需的超低延迟性能。本文提出了一种基于空接口切片的下一代蜂窝网络中具有应急流的海量传感器动态资源预留方案。提出的模式允许超低延迟流通过保证速率的无线链路连接传输,以内容名称作为标识符,并在几毫秒内实现空中接口延迟。引入了基于帧槽Aloha的动态位图更新、沉默概率和基于窗口的重传,可以立即调度来自一组或多组连接终端的延迟敏感流。在此基础上,提出了一种基于概率论的分析模型,并用蒙特卡罗仿真结果进行了验证。
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