Evaluation of Control over the Edge of a Configurable Mid-band 5G Base Station

Abstract

Mission-critical applications such as industrial control processes are evolving towards a new development paradigm by offloading their heavy computations to the edge of the emerging Fifth Generation Wireless Specifications (5G) network. In this manner, the applications can gain the economical and efficiency benefits of cloud computing, as well as reliable communication from the 5G network. However, the limited access to a configurable infrastructure of the 5G network and its edge computing infrastructure has restrained academic researchers from experimenting and validating their mission-critical application design under reasonable communication and computation scenarios. In this paper, we present a configurable mid-band 5G Stand-Alone (SA) deployment and demonstrate a control process that is running over the edge of the 5G network. We show in this paper a complete system setup for Control over the Edge (CoE) of the 5G network, and validate the feasibility of deploying similar mission-critical applications over the edge of 5G network.

Performance Evaluation of QUIC Vs. TCP for Cloud Control Systems

“…Based on our previous study on CCSs [15], [16], where HTTP1.1 was mainly implemented in the systems, the payload size containing the plant state or control signal is typically small, ranging from 200-300 bytes. This is much smaller compared to payload sizes of web page or video downloads.…”

“…The first is a wired network where the client and the edge cluster are only connected via Ethernet. The second is a private 5G mobile network hosted in the lab where we set up all the experiments, and the mobile network configuration and the base station setup are detailed in [16]. The client machine is connected to a 5G WNC modem to enable mobile communication, and the core functions of the 5G network are also deployed as Kubernetes services in the edge cluster, making the servers mobile edge applications under this scenario.…”