Dynamic credit reservation for online charging of regular Internet of things traffic

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.