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Dynamic credit reservation for online charging of regular Internet of things traffic
International Journal of Network Management ( IF 1.5 ) Pub Date : 2020-05-27 , DOI: 10.1002/nem.2114
Huai‐Sheng Huang, Da‐Yu Hung

According to the specifications of the Third Generation Partnership Project (3GPP), any online charging system must determine a granted unit (GU) and make reservations for each session before the serving network delivers the service. Allocating insufficient GUs to user equipment may incur excessive quantities of reservation messages; conversely, providing excessive GUs could result in an unbalanced distribution of resources. Therefore, a prudent investigation of a reservation scheme for multiple Internet of things (IoT) devices is urgently needed. In this paper, we focus on IoT devices with regular traffic, which usually generate numerous routine traffic events and few event‐driven traffic events. We combine a fixed‐order quantity model (sometimes called a Q model) and propose a novel solution to this issue. To the best of our knowledge, this is the first research to propose a solution based on such a concept. Compared with typical schemes, the simulation results show that our proposed scheme can maintain the success rate with a smaller‐than‐usual number of messages.

中文翻译:

动态信用预订,用于对常规物联网流量进行在线计费

根据第三代合作伙伴计划3GPP)的规范,任何在线计费系统都必须确定被许可单位(GU)并在服务网络交付服务之前为每个会话进行预订。将不足的GU分配给用户设备可能会导致过多的预留消息。相反,提供过多的GU可能会导致资源分配不平衡。因此,针对多个预留方案的审慎调查物联网物联网)设备是迫切需要的。在本文中,我们将重点放在具有常规流量的IoT设备上,这些设备通常会生成大量的常规流量事件和很少的事件驱动流量事件。我们结合了固定数量模型(有时称为Q模型),并提出了解决该问题的新方法。据我们所知,这是第一个提出基于这种概念的解决方案的研究。与典型方案相比,仿真结果表明,我们提出的方案能够以较少的消息数量保持成功率。
更新日期:2020-05-27
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