Random Linear Network Coding for 5G Mobile Video Delivery
Dejan Vukobratovic, Andrea Tassi, Savo Delic, Chadi Khirallah
TL;DR
This paper reviews how random linear network coding (RLNC) can be integrated into 5G NR to improve mobile video delivery, focusing on new features and future research directions.
Contribution
It identifies and discusses novel 5G NR features that support RLNC-based video delivery, building upon 4G LTE concepts.
Findings
RLNC enhances video quality and throughput in 5G networks.
Integration of RLNC into 5G NR offers new opportunities for video delivery.
Future research directions for RLNC in 5G are outlined.
Abstract
An exponential increase in mobile video delivery will continue with the demand for higher resolution, multi-view and large-scale multicast video services. Novel fifth generation (5G) 3GPP New Radio (NR) standard will bring a number of new opportunities for optimizing video delivery across both 5G core and radio access networks. One of the promising approaches for video quality adaptation, throughput enhancement and erasure protection is the use of packet-level random linear network coding (RLNC). In this review paper, we discuss the integration of RLNC into the 5G NR standard, building upon the ideas and opportunities identified in 4G LTE. We explicitly identify and discuss in detail novel 5G NR features that provide support for RLNC-based video delivery in 5G, thus pointing out to the promising avenues for future research.
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