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 HEVC 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.

Additional Metadata
Keywords 5G New Radio, HEVC (High Efficiency Video Coding), MmWave (millimeter wave), Radio resource management (RRM), V2X (Vehicle-to-everything)
Persistent URL dx.doi.org/10.1109/PIMRC.2017.8292728
Conference 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2017
Citation
Pervez, F. (Farhan), Adinoyi, A. (Abdulkareem), & Yanikomeroglu, H. (2018). Efficient resource allocation for video streaming for 5G network-to-vehicle communications. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC (pp. 1–6). doi:10.1109/PIMRC.2017.8292728