## 1 Introduction  
The broad attention of the global community to 2030 networks, e.g., International Mobile Telecommunications-2030 (IMT-2030), has made significant contributions to the development of novel technologies and the improvement of the existing technological and technical capabilities. One of these promising networks is the intelligent transportation system (ITS) in the context of unmanned driving, automated transport and driver assistance services [1]. With the release of the fifth-generation cellular system (5G) and the current announced vision of the sixth-generation cellular system (6G), the demands for developing reliable vehicular communication systems have increased. This includes vehicle-to-everything (V2X) and vehicle-to-vehicle (V2V) technologies. V2X is the vehicular communication paradigm that enables the communications and interactions between vehicles and other network entities, e.g., road-side units (RSUs). V2X can be divided into four main types: vehicle-networkinteraction (V2N), vehicle-to-vehicle interaction (V2V), vehicle-infrastructure interaction (V2I) and vehicle-human interaction (V2P) [2]. This promising technology has gained enormous interest from vehicle manufacturers, researchers and scientific communities [3]. The development of this sphere will increase the safety of road users, improve traffic flow and, consequently, reduce the negative impact on the environment. The design and development of V2X systems face many challenges associated with the requirements, which include ultra-high availability, ultra-high reliability, ultra-low latency, high system flexibility and security. Moreover, the high mobility of such networks and the dense deployment of vehicles put high constraints on the design of these networks. Another important challenge is the lack of trust between the objects of the transport network that can negatively affect the activities and interaction, as well as leading to casualties, privacy violations and other irreversible consequences. In order to ensure the quality of services (QoS) and reduce the negative effects of the influence of unscrupulous participants in the transport interaction, blockchain is introduced to such networks at the exchange level between participants and RSUs. Since blockchain achieves accountability and integrity between network participants, it has been introduced to secure vehicular networks communications. V2X networks have heterogeneous, massive sets of users; thus, introducing blockchain to such networks guarantees high system reliability and better information distribution. Using blockchain, the required privacy and security can be achieved for V2X networks by mitigating the link attack and detecting malicious nodes, since it can achieve a consensus without introducing a third-party [4]. Using blockchain to rate a road user is also an effective solution for V2X systems, as rating a facility allows action to be taken against offenders and encourage decent users. This ensures that misbehavior messages that create risk or reduce the efficiency of the V2X system are reduced. The development of blockchain-based V2X systems is a prerequisite for improving the dynamic requirements of V2X services and applications, as well as expanding the range of capabilities of the services provided. It is worth noting that the provision of V2X services requires the provision of various network characteristics, such as delay, jitter, loss rate and data rates [5]. To provide and support the given service requirements, mobile edge computing (MEC) is introduced to V2X systems. MEC is cloud computing technology that moves from the centralization of massive data centers, to a distributed scheme of edge, limited, small data centers. It provides paths for data offloading, thus achieving various benefits in terms of latency, reliability, availability and flexibility. Motivated by the described state-of-the-art technology, this work explores the problem of building a network architecture to reliably deliver correct and uncompromised data in V2X systems.