  With the growing interest in the use of internet of things (IoT),
machine-to-machine (M2M) communications have become an important networking
paradigm. In this paper, with recent advances in wireless network
virtualization (WNV), we propose a novel framework for M2M communications in
vehicular ad-hoc networks (VANETs) with WNV. In the proposed framework,
according to different applications and quality of service (QoS) requirements
of vehicles, a hypervisor enables the virtualization of the physical vehicular
network, which is abstracted and sliced into multiple virtual networks.
Moreover, the process of resource blocks (RBs) selection and random access in
each virtual vehicular network is formulated as a partially observable Markov
decision process (POMDP), which can achieve the maximum reward about
transmission capacity. The optimal policy for RBs selection is derived by
virtue of a dynamic programming approach. Extensive simulation results with
different system parameters are presented to show the performance improvement
of the proposed scheme.
