  Ultra-reliable vehicle-to-everything (V2X) communication is essential for
enabling the next generation of intelligent vehicles. V2X communication is a
growing area of communication, that connects vehicles to neighboring vehicles
(V2V), infrastructure (V2I) and pedestrians (V2P). Network slicing is one of
the promising technology for connectivity of the next generation devices,
creating several logical networks on a common and programmable physical
infrastructure. Network slicing offers an efficient way to satisfy the diverse
use case requirements by exploiting the benefits of shared physical
infrastructure. In this regard, we propose a network slicing based
communication solution for vehicular networks. In this work, we model a highway
scenario with vehicles having heterogeneous traffic demands. The autonomous
driving slice (safety messages) and the infotainment slice (video stream) are
the two logical slices created on a common infrastructure. We formulated a
network clustering and slicing algorithm to partition the vehicles into
different clusters and allocate slice leaders to each cluster. Slice leaders
serve its clustered vehicles with high quality V2V links and forwards safety
information with low latency. On the other hand, road side unit provides
infotainment service using high quality V2I links. An extensive Long Term
Evolution Advanced (LTE-A) system level simulator with enhancement of cellular
V2X (C-V2X) standard is used to evaluate the performance of the proposed
method, in which it is shown that the proposed network slicing technique
achieves low latency and high-reliability communication.
