Title

Keynote 8: 3GPP-IMS compliant end-to-end mobile IPTV solution for 4G/LTE networks

Presenter

Dr. Amir Qayyum

Abstract/Description

The demand for entertainment & multimedia services is on rapid increase with the increasing mobile broadband internet speed. The 3rd generation (UMTS/HSPA+) and 4th generation (LTE/EPC) mobile networks offer high bandwidth than ever before, therefore the communication service providers are striving for more and more value added services to fill their available data pipes and to increase their value added service offerings in order to increase their average revenue per user. These services also include the service of IPTV. The current IPTV implementations are non-IMS standardized and are not specifically defined, designed and implemented for next generation mobile wireless networks (3G/4G/IMS/SA/EPC). These implementations are proprietary, non-standardized and non-optimized for video delivery over mobile networks, rather these are specifically targeted for DSL based high bandwidth IP network. Thus, in order to meet the today's need, an architecture is proposed which is IMS based End-to-End IPTV Service Delivery Platform over Next Generation IMS/EPC Network Infrastructure, that have capability of IPTV creation, execution and deployment of service. Moreover, having capability of online charging, billing and registration of the client, this platform is not only compatible with today's Telco's infrastructure but will also easily become compliant with 5G networks in near future. This architecture also includes the run time transcoding of videos with adaptation capability by viewing the statistics of the users. It also includes the use of Session Initiation Protocol (SIP) and Session Description Protocol (SDP). The challenge in this architecture design is to deliver up-to mark Quality of Experience (QoE) to end users, by applying machine learning algorithms with real time monitoring system and having capability to predict the Quality of Experience at the client end as well as at the server end by enabling two-way communication between them. After prediction transcodes the video with bitrate most suitable for the current network condition.

Location

Lecture Hall A (Aman Tower, 12th floor)

Session Theme

Keynote Session V

Session Type

Keynote Speech

Start Date

17-11-2019 12:00 PM

End Date

17-11-2019 12:40 PM

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Nov 17th, 12:00 PM Nov 17th, 12:40 PM

Keynote 8: 3GPP-IMS compliant end-to-end mobile IPTV solution for 4G/LTE networks

Lecture Hall A (Aman Tower, 12th floor)

The demand for entertainment & multimedia services is on rapid increase with the increasing mobile broadband internet speed. The 3rd generation (UMTS/HSPA+) and 4th generation (LTE/EPC) mobile networks offer high bandwidth than ever before, therefore the communication service providers are striving for more and more value added services to fill their available data pipes and to increase their value added service offerings in order to increase their average revenue per user. These services also include the service of IPTV. The current IPTV implementations are non-IMS standardized and are not specifically defined, designed and implemented for next generation mobile wireless networks (3G/4G/IMS/SA/EPC). These implementations are proprietary, non-standardized and non-optimized for video delivery over mobile networks, rather these are specifically targeted for DSL based high bandwidth IP network. Thus, in order to meet the today's need, an architecture is proposed which is IMS based End-to-End IPTV Service Delivery Platform over Next Generation IMS/EPC Network Infrastructure, that have capability of IPTV creation, execution and deployment of service. Moreover, having capability of online charging, billing and registration of the client, this platform is not only compatible with today's Telco's infrastructure but will also easily become compliant with 5G networks in near future. This architecture also includes the run time transcoding of videos with adaptation capability by viewing the statistics of the users. It also includes the use of Session Initiation Protocol (SIP) and Session Description Protocol (SDP). The challenge in this architecture design is to deliver up-to mark Quality of Experience (QoE) to end users, by applying machine learning algorithms with real time monitoring system and having capability to predict the Quality of Experience at the client end as well as at the server end by enabling two-way communication between them. After prediction transcodes the video with bitrate most suitable for the current network condition.