## 1 Introduction  
The quantity of user equipment (UE) devices connected to the internet has increased rapidly since 2007 due to the introduction of the iPhone, and the IoT \"birth\" during 2008 fueled this increase [1]. More and more connected devices require higher network capabilities. Ericsson responded to these needs and launched a white paper on the 5G concept to meet those demands in 2014 [2]. A definition of the main system architecture requirements is needed to provide a straightforward approach. The 3 rd Generation Partnership Project (3 GPP) performs a task in cooperation with the European Telecommunication Standard Institute (ETSI), which released details in 3 GPP TS 23.501 Release 16 [3]. Based on this, radio access network (RAN), user equipment (UE), and access management function (AMF) are the minimum components. The introduction of network function virtualization (NFV) and software-defined network (SDN) allows additional network functions, creating a more feasible and even safer network. Network function virtualization (NFV) is the virtualization of routers, firewalls, and advanced packet cores. These components can execute software applications and connect to the central infrastructure. Software-defined network (SDN) is an approach to networking that provides tools for programming, traffic control, or network slicing. These functions help to achieve higher network performance. The technologies above enable most use cases of 5G networks, and the primary use cases are enhanced mobile broadband capabilities(eMBB), ultra-reliable low-latency communications (URLLCs), and massive machine-type communications (mMTCs). Industrial applications with a high density of devices need the implementation of mMTC solutions. There is an increasing demand for Smart logistic solutions such as tracking and fleet management. Supply chain and logistics companies are willing to adopt this kind of solution [4]. Smart logistics needs real-time data to track current operations, create predictions and increase the overall equipment efficiency (OEE). Migration from previous wireless networks to 5G meets this need. However, the adoption rate is still moderate due to the high complexity of the technologies involved. 5G test-beds are crucial to define, test, analyze and deploy solutions in different mobile network scenarios. Digital twin solutions allow the use of virtual equipment for its testing stage. Additionally, the digital environment can be connected to its physical counterpart. Adopters can test different networking or security settings in virtual environments by developing digital models. 5G hardware, software, and training methods are unfamiliar to most non-academic users contributing to the slow 5G adoption. The use of 5G digital twins can enable radio and network simulation to help adopters to justify investment decisions. Regarding network simulation, Network function virtualization (NFV) technologies represent a cost-effective approach. By simulating network equipment, adopters can estimate network performance and understand the amount of required equipment for their particular case [5]. Implementation of NFV solutions reduces the energy consumption and hardware cost of the network. The academic community provides an extensive collection of frameworks, reviews, and surveys about digital twins in 5G scenarios. Our study complements the research method introduced by the previous research authors to provide a practical application of a basic digital twin in a 5G scenario with data information. The selected testing environment is a warehouse at the Industry 4.0 Implementation Center at the National Taiwan University of Science and Technology. The electromagnetic software, Altair Feko (WinProp), simulates radio coverage testing in the environment, generating a radio dataset in comma-separated values (.CSV). Later, the network transmission simulation used the radio dataset file as the network payload. With an emphasis on end-to-end communication, this study conducted data transmission and security.