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Single Frequency Networks for 5G Broadcast: a Software Defined Radio Experiment

Authors: Alvaro Ibañez; Borja Iñesta; Manuel Fuentes; David Gomez-Barquero; Diarmuid Collins; Joao F. Santos;

Single Frequency Networks for 5G Broadcast: a Software Defined Radio Experiment

Abstract

Broadcast is a mechanism created for the delivery of the same content to many users simultaneously. This technology has been considered in 3GPP as part of 4G and recently 5G. One of the key solutions to enhance coverage when using 5G broadcast is the use of Single Frequency Networks (SFN), where all transmitters deliver the same content at the same frequency in a synchronized manner. This paper is derived from the 5GROSE project, which works towards the transmission of 5G broadcast services over SFN virtualized networks, using opensource software. The work is divided into three topics. The first part is the development and testing of the first virtualized Multimedia Broadcast Multicast Service over Single Frequency Network (MBSFN) transmission. The second part consists of the introduction of 5G physical layer Release (Rel)-16 specific components. The third part is about the combination of both unicast and broadcast transmissions by means of network slicing. This paper describes in detail the implemented technologies, the testbed facility where these are integrated, as well as the implementation and setup to carry out the experiment.

Keywords

5G, Single Frequency Network, virtualization, enTV, Software Defined Radio, network slicing

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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