Efficient resource allocation for video streaming for 5G network-to-vehicle communications

Unprecedented bandwidth-intensive, ultra-low latency multi-media services and applications are expected to be delivered through the fifth generation (5G) network. Thus, efficient radio resource management will continue to play an important role as the network service providers strive to provide rich media contents to their users. Therefore, in this work, we consider a cross-layer based framework for efficient allocation of network resources for the transmission of HE VC encoded video streams over 5G-aligned V2X application in mmWave environments. We adopt application and physical layer models, and formulate a multi-vehicle resource allocation problem taking into account the abstracted information of the two corresponding layers. Such a framework is compared with three other standard resource allocation schemes using computed Mean Opinion Score (MOS). Numerical results show that our proposed radio resource management scheme offers a significant improvement of viewer-perceived quality of service compared to the reference approaches.