The School of Computing, Union University Belgrade, 6/6 Knez Mihailova, 11000 Belgrade, Serbia.
RT-RK Institute for Computer Based Systems, 23a Narodnog Fronta, 21000 Novi Sad, Serbia.
Sensors (Basel). 2022 Apr 7;22(8):2849. doi: 10.3390/s22082849.
The academic and professional community has recently started to develop the concept of 6G networks. The scientists have defined key performance indicators and pursued large-scale automation, ambient sensing intelligence, and pervasive artificial intelligence. They put great efforts into implementing new network access and edge computing solutions. However, further progress depends on developing a more flexible core infrastructure according to more complex QoS requirements. Our research aims to provide 5G/6G core flexibility by customizing and optimizing network slices and introducing a higher level of programmability. We bind similar services in a group, manage them as a single slice, and enable a higher level of programmability as a prerequisite for dynamic QoS. The current 5G solutions primarily use predefined queues, so we have developed highly flexible, dynamic queue management software and moved it entirely to the application layer (reducing dependence on the physical network infrastructure). Further, we have emulated a testbed environment as realistically as possible to verify the proposed model capabilities. Obtained results confirm the validity of the proposed dynamic QoS management model for configuring queues' parameters according to the service management requirements. Moreover, the proposed solution can also be applied efficiently to 5G core networks to resolve complex service requirements.
学术界和专业界最近开始开发 6G 网络的概念。科学家们定义了关键性能指标，并追求大规模自动化、环境感应智能和普及人工智能。他们努力实施新的网络接入和边缘计算解决方案。然而，进一步的进展取决于根据更复杂的服务质量要求开发更灵活的核心基础设施。我们的研究旨在通过定制和优化网络切片并引入更高水平的可编程性来提供 5G/6G 核心的灵活性。我们将类似的服务绑定在一个组中，将它们作为单个切片进行管理，并将更高水平的可编程性作为动态服务质量的先决条件。当前的 5G 解决方案主要使用预定义的队列，因此我们开发了高度灵活、动态的队列管理软件，并将其完全移至应用层（减少对物理网络基础设施的依赖）。此外，我们尽可能真实地模拟了测试床环境，以验证所提出的模型功能。获得的结果证实了根据服务管理要求配置队列参数的动态服务质量管理模型的有效性。此外，所提出的解决方案还可以有效地应用于 5G 核心网络，以解决复杂的服务需求。
