Random Linear Network Coding for 5G Mobile Video Delivery

Dejan Vukobratovic; Andrea Tassi; Savo Delic; Chadi Khirallah

doi:10.3390/info9040072

Information (Mar 2018)

Random Linear Network Coding for 5G Mobile Video Delivery

Dejan Vukobratovic,
Andrea Tassi,
Savo Delic,
Chadi Khirallah

Affiliations

Dejan Vukobratovic: Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Andrea Tassi: Department of Electronic and Electrical Engineering, University of Bristol, Bristol BS8 1TH, UK
Savo Delic: Faculty of Technical Sciences, University of Novi Sad, 21000 Novi Sad, Serbia
Chadi Khirallah: School of Engineering, University of Edinburgh, Edinburgh EH8 9YL, UK

DOI: https://doi.org/10.3390/info9040072
Journal volume & issue: Vol. 9, no. 4
p. 72

Abstract

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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.

Published in Information

ISSN: 2078-2489 (Online)
Publisher: MDPI AG
Country of publisher: Switzerland
LCC subjects: Technology: Technology (General): Industrial engineering. Management engineering: Information technology
Website: http://www.mdpi.com/journal/information/

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