TY - GEN
T1 - Combined 5G-Based Video Production and Distribution in a Crowded Stadium Event
AU - Chochliouros, Ioannis P.
AU - Spiliopoulou, Anastasia S.
AU - Lazaridis, Pavlos
AU - Kourtis, Michail Alexandros
AU - Zaharis, Zaharias
AU - Kostopoulos, Alexandros
PY - 2020/5/29
Y1 - 2020/5/29
N2 - Based upon the scope of the original 5G ESSENCE research effort and by considering the related fundamental architecture, we develop a dedicated scenario for the implementation and demonstration of a setup for a 5G edge network acceleration in the context of a sport event, taking place in a stadium. Specifically, we demonstrate a combined 5G-based video production and video distribution scenario towards delivering benefits to both media producers/content providers and mobile operators, with those being able to offer enriched event experience to their subscribers. The production/distribution of locally generated content through the respective platform, coupled with value-added services and rich user context, enables secure, high-quality and resilient transmission in real-time, thus ensuring minimal latency. In the selected scenario, massive data traffic does not affect nor overload the backhaul connection as it is produced, processed and consumed just locally, aligned to the 5G 3GPP specifications. We also discuss details about the proposed services and functionalities of the use case, together with an approach for a potential projection to the market.
AB - Based upon the scope of the original 5G ESSENCE research effort and by considering the related fundamental architecture, we develop a dedicated scenario for the implementation and demonstration of a setup for a 5G edge network acceleration in the context of a sport event, taking place in a stadium. Specifically, we demonstrate a combined 5G-based video production and video distribution scenario towards delivering benefits to both media producers/content providers and mobile operators, with those being able to offer enriched event experience to their subscribers. The production/distribution of locally generated content through the respective platform, coupled with value-added services and rich user context, enables secure, high-quality and resilient transmission in real-time, thus ensuring minimal latency. In the selected scenario, massive data traffic does not affect nor overload the backhaul connection as it is produced, processed and consumed just locally, aligned to the 5G 3GPP specifications. We also discuss details about the proposed services and functionalities of the use case, together with an approach for a potential projection to the market.
KW - 5G
KW - Cloud-Enabled Small Cell (CESC)
KW - evolved Multimedia Broadcast Multicast Services (eMBMS)
KW - Multi-access Edge Computing (MEC)
KW - Network Functions Virtualisation (NFV)
KW - Small Cell (SC)
KW - Virtual Network Function (VNF)
UR - http://www.scopus.com/inward/record.url?scp=85086280903&partnerID=8YFLogxK
UR - https://www.springer.com/gb/book/9783030491895
U2 - 10.1007/978-3-030-49190-1_4
DO - 10.1007/978-3-030-49190-1_4
M3 - Conference contribution
AN - SCOPUS:85086280903
SN - 9783030491895
VL - 585
T3 - IFIP Advances in Information and Communication Technology
SP - 35
EP - 46
BT - Artificial Intelligence Applications and Innovations, AIAI 2020 IFIP WG 12.5 International Workshops - MHDW 2020 and 5G-PINE 2020, Proceedings
A2 - Maglogiannis, Ilias
A2 - Iliadis, Lazaros
A2 - Pimenidis, Elias
PB - Springer
T2 - 9th Mining Humanistic Data Workshop, MHDW 2020, and the 5th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2020, held as parallel events of the 16th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2020
Y2 - 5 June 2020 through 7 June 2020
ER -