… Driven by the benefits of MEC, many efforts have been devoted to integrating vehicular
networks into MEC, thereby forming a novel paradigm named as Vehicular Edge Computing (…

… To support high-efficiency communications for MECenabled vehicular networks, this
section intends to maximize the total transmission rate by considering both cellular and RSU-based …

… OBUs communicate with each other and with the RSUs in ad hoc manner. There are mainly
… of communications scenarios in vehicular networks: Vehicle-to-Vehicle (V2V) and Vehicle-to-…

… that results in inefficiencies in vehicle data transmission [30,31]. In this letter, we … ) to the
vehicle network in order to utilize the benefits of NDN in order to increase the efficiency of vehicle …

… the computing and communication in heterogeneous network … on mobile edge computing
for URLLC vehicular networks [19… requirements of vehicular communications were transferred …

… consumption, the fee charged by computing and communication service providers, etc. Local
Computing or Cloud Computing In vehicular networks, we consider that each vehicle has a …

… network innovation for green vehicular communications. Specifically, we propose a vehicular
network … , collaborative radio, real-time cloud computing, and data compression functions. …

… These papers provide a comprehensive overview of communication protocols, … vehicular
networks to provide green solutions by surveying the performance of vehicular networks from …

… provide future research directions for next generation vehicular networks. … vehicular network
architecture based on SDN and FC technologies, and describe the vehicle communication …

… learning for RA in vehicular networks. In Section VII, we summarize three important future
directions for RA research in vehicular networks lead by network slicing, machine learning, …