A Data Generator for Cloud-Edge Vehicle Communication in Multi Domain Cellular Networks

Abstract

The rapid development of telecommunications and cellular network technologies gave birth to a range of services and scenarios that were considered impossible a decade ago. Various architectures, scenarios, and use-cases can be deployed on top of the different generations of cellular networks to solve different business cases. Some scenarios require a high level of reliability due to their critical usage e.g., Vehicular Edge computing, medical IoT and so on. When offering services at the edge of the network, the information exchanged needs to be current and valid for systematic performance assessment and modeling. However, in order to run experiments, access to valid and reliable telecommunication data e.g., eNodeB (Base Station) properties, and configurations is not easy, since in most cases data is either confidential or at least difficult to obtain, especially when dealing with cross organizational boundaries (e.g., data coming from multiple telecom operators). To bridge this gap and allow researchers to build, test and analyze new protocols and algorithms with telecommunication data, we designed a mobile data generator (DG) for multi-domain cellular networks. Our generator provides a range of possible configurations and handles scenarios that include multiple participants, authorities and organizations. In this paper, we present the design and implementation of our generator. We evaluated the data generator by considering different scenarios, specifically, we have tested service interruptions and mobile network migration since these scenarios require a considerable amount of data.