Towards Cost-efficient Reliable Vehicle-MEC Connectivity for B5G Mobile Networks: Challenges and Future Directions

Reliable connectivity between vehicle and mobile edge computing (MEC) server is paramount to exchange the information in time and without loss. Reliable vehicle-MEC communication is supported by different mechanisms of 3GPP 5G mobile networks, however, they are often inefficient in keeping the balance between reliability of the connection and the associated operational service costs of mobile operators, such as resource usage and signaling load, to provide the desired reliability. In this respect, we identify the challenges that need to be overcome to maintain cost-efficient reliable connection between vehicle and MEC server. We propose the usage of distributed intelligence to address the challenges and analyze the categories of distributed machine learning from the perspective of solving the challenges.