## 1 Introduction  
Fifth Generation (5G) systems are End-to-End (E2E) service platforms that support a mobile-connected society and provide a substantial rise in the data rate and reduction in latency compared to previous mobile generations [1, 2]. However, 5G is not just the next development from Long-Term Evolution (LTE), the most widely adopted cellular communication standard nowadays, but a fundamental paradigm change [3, 4]. 5G networks are expected to enable various vertical industries with diverse use cases and applications [5]. 5G can deliver Gigabit bandwidth, ultra-high reliability, always-on availability and massive network capacity with 1 ms latency to support a mobile-connected society. 5G, therefore, accelerates the adoption of a huge range of vertical markets, multiple use cases and heterogeneous services with corresponding cybersecurity requirements. It supports multiple Radio Access Networks (RANs) including Global System for Mobile Communications (GSM), Universal Mobile Telecommunications System (UMTS), and LTE. Consequently, the implementation of 5G inherits the security challenges of those access networks. The key vulnerabilities and cyber-attacks on the RAN are currently an active topic of research [6]. There has been a significant body of research to develop accurate simulation models of 5G radio channels. The primary focus has been on modelling variations in amplitude and phase across the bandwidth of radio signals. These can be used to measure the performance of the signal-processing algorithms to help to improve the performance of the radio link [7]. A review of the literature finds that none of the propagation models, includingWINNER/IMT-Advanced, COST 2100, and IEEE 802.11, fully satisfy our requirements and their complexity requires a high level of radio expertise to be usable [8; 9]. Since our aim is to provide large datasets for use by data analysis researchers, it is critical to select the appropriate model that gives results that are typical of a drive test with the least amount of complexity. This study aims to provide a synthesized stream of received signal strength values that would be expected to be observed by a mobile device travelling along a highway. Installing a real 5G testbed to create the received radio signal and the measurement report is challenging in both deployment cost and scalability [10]. Moreover, any results from a specific drive test will inherently be only valid for that particular test and may not be representative of any other highway section. A simulation model is proposed to fill such gaps that can efficiently produce realistic signal strength metrics using well-known radio propagation models. This proposal removes the need for this expensive infrastructure to conduct research in this area. Computer science researchers can easily use the model to quickly generate large datasets that model many different scenarios, removing an existing research barrier. Moreover, the literature study indicates that, there are no currently existing simulations of this nature that do not require expert radio knowledge [7]. This solution might be beneficial to the wider 5G security research community. The proposed method uses a well-known propagation model, and antenna radiation patterns for estimating the coverage [11]. The RSS values are calculated from the Friis propagation and path loss equations, and the calculated signal level is in the range of 5G signal standard. Drive test results are normally presented as statistical distributions or RSS levels accumulated during the drive test rather than as a time series of measurement data. Hence, such time series results are not readily available in any references [12]. However, but the results are broadly compatible with the contour plots in [13]. They have contour maps of coverage around an antenna that would give a time series similar to those resulting from our work if a road went straight through the coverage area and passed close to the base station.