Smart Television Services Using NFV/SDN Network Management
Nawar Jawad , Mukhald Salih , Kareem Ali , Benjamin Meunier , Yue Zhang , Xun Zhang , Rudolf Zetik , Charilaos Zarakovitis , Harilaos Koumaras , Michail-Alexandros Kourtis , Lina Shi , Wojciech Mazurczyk , John Cosmas
AbstractIntegrating joint network function virtualization (NFV) and software-defined networks (SDNs) with digital televisions (TVs) into home environments, has the potential to provide smart TV services to users, and improve their quality of experience (QoE). In this regard, this paper focuses on one of the next generation services so-called follow me service (FMS). FMS is a service offered by 5gNB to user equipments (UEs) in indoor environments (e.g., home), it enables its clients to use their smart phones to select media content from content servers, then cast it on the nearest TV set (e.g., living room) and continue watching on the next TV set (e.g., kitchen) while moving around the indoor coverage area. FMS can be provisioned by utilizing UEs geolocation information and robust mechanisms for switching between multiple 5G radio access technologies (RATs), based on the intelligence of the SDN/NFV intelligent home IP gateway of the Internet of Radio Light (IoRL) project paradigm. In view that the actual IoRL system is at its early development stage, we step forward by using Mininet platform to integrate SDN/NFV virtualization into 5G multi-RAT scenario and provide performance monitoring with measurements for the identified service. Simulation results show the effectiveness of our proposal under various use case scenarios by means of minimizing the packet loss rate and improving QoE of the home users.
|Journal series||IEEE Transactions on Broadcasting, ISSN 0018-9316|
|Publication size in sheets||0.5|
|Keywords in English||Software defined networks, network function virtualisation, quality of experience, Internet of radio light, intelligent home IP gateway, Servers, Frequency modulation, Smart TV, Smart phones, 5G mobile communication, Quality of experience|
|Score||= 140.0, 17-06-2020, ArticleFromJournal|
|Publication indicators||= 5; = 1; : 2018 = 2.282; : 2018 = 4.374 (2) - 2018=3.656 (5)|
|Citation count*||10 (2020-05-22)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.