Seamless Mobile Multimedia Broadcasting Using Adaptive Error Recovery

Multimedia services over mobile networks present several challenges, such as ensuring a reliable delivery of multimedia content, avoiding undesired service disruptions, or reducing service latency. HTTP adaptive streaming addresses these problems for multimedia unicast services, but it is not efficient from the point of view of radio resource consumption. In Long-Term Evolution (LTE) networks, multimedia broadcast services are provided over a common radio channel using a combination of forward error correction and unicast error recovery techniques at the application level. This paper discusses how to avoid service disruptions and reduce service latency for LTE multimedia broadcast services by adding dynamic adaptation capabilities to the unicast error recovery process. The proposed solution provides a seamless mobile multimedia broadcasting without compromising the quality of the service perceived by the users.

[1]  Ismael de Fez,et al.  An Adaptive Mechanism for Optimal Content Download in Wireless Networks , 2014, IEEE Transactions on Multimedia.

[2]  Luis Bellido,et al.  Reducing Latency for Multimedia Broadcast Services Over Mobile Networks , 2017, IEEE Transactions on Multimedia.

[3]  Phuoc Tran-Gia,et al.  A Survey on Quality of Experience of HTTP Adaptive Streaming , 2015, IEEE Communications Surveys & Tutorials.

[4]  Narciso García,et al.  Quality-Control Algorithm for Adaptive Streaming Services Over Wireless Channels , 2015, IEEE Journal of Selected Topics in Signal Processing.

[5]  Thomas Stockhammer,et al.  Reliable Multimedia Download Delivery in Cellular Broadcast Networks , 2007, IEEE Transactions on Broadcasting.

[6]  David Gomez-Barquero,et al.  Joint Delivery of Unicast and E-MBMS Services in LTE Networks , 2012, IEEE Transactions on Broadcasting.

[7]  Neelesh B. Mehta,et al.  An Accurate Model for EESM and its Application to Analysis of CQI Feedback Schemes and Scheduling in LTE , 2011, IEEE Transactions on Wireless Communications.

[8]  Rajashekhar C. Biradar,et al.  Survey of Bandwidth Estimation Techniques in Communication Networks , 2015, Wirel. Pers. Commun..

[9]  Thomas Stockhammer,et al.  ROUTE/DASH IP Streaming-Based System for Delivery of Broadcast, Broadband, and Hybrid Services , 2016, IEEE Transactions on Broadcasting.

[10]  Frederic Gabin,et al.  Evolved multimedia broadcast/multicast service (eMBMS) in LTE-advanced: overview and Rel-11 enhancements , 2012, IEEE Communications Magazine.

[11]  Dirk Staehle,et al.  QoE-Based Traffic and Resource Management for Adaptive HTTP Video Delivery in LTE , 2015, IEEE Transactions on Circuits and Systems for Video Technology.

[12]  O. Oyman,et al.  Quality of experience for HTTP adaptive streaming services , 2012, IEEE Communications Magazine.