Random Linear Network Coding for 5G Mobile Video Delivery

نویسندگان

  • Dejan Vukobratovic
  • Andrea Tassi
  • Savo Delic
  • Chadi Khirallah
چکیده

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 network. 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 work, 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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عنوان ژورنال:
  • CoRR

دوره abs/1802.04873  شماره 

صفحات  -

تاریخ انتشار 2018