  This paper studies the potential performance improvement that can be achieved
by enabling multi-operator wireless connectivity for cloud/fog
computing-connected vehicular systems. Mobile network operator (MNO) selection
and switching problem is formulated by jointly considering switching cost,
quality-of-service (QoS) variations between MNOs, and the different prices that
can be charged by different MNOs as well as cloud and fog servers. A double
deep Q network (DQN) based switching policy is proposed and proved to be able
to minimize the long-term average cost of each vehicle with guaranteed latency
and reliability performance. The performance of the proposed approach is
evaluated using the dataset collected in a commercially available city-wide LTE
network. Simulation results show that our proposed policy can significantly
reduce the cost paid by each fog/cloud-connected vehicle with guaranteed
latency services.
