TY - GEN
T1 - QoE-driven resource optimization for user generated video content in next generation mobile networks
AU - El Essaili, Ali
AU - Steinbach, Eckehard
AU - Munaretto, Daniele
AU - Thakolsri, Srisakul
AU - Kellerer, Wolfgang
PY - 2011
Y1 - 2011
N2 - The increasing popularity of user-generated content and the high quality upstreaming capabilities of mobile phones indicate a prevalence of video traffic in the uplink of next generation mobile networks. Need arises for optimizing the network resource allocation while preserving the user satisfaction. In this paper, we propose a service-centric approach for uplink distribution of real-time user-generated content based on the Quality of Experience (QoE) and popularity of the video content. In case of limited network resources, the proposed approach assigns more resources for popular contents while maintaining a minimum guaranteed QoE for the less popular ones. We compare our service-centric approach with a QoE-driven one that does not consider video popularity and evaluate both approaches for the uplink of an LTE system. The simulation results show that a significant gain in terms of average user satisfaction can be achieved.
AB - The increasing popularity of user-generated content and the high quality upstreaming capabilities of mobile phones indicate a prevalence of video traffic in the uplink of next generation mobile networks. Need arises for optimizing the network resource allocation while preserving the user satisfaction. In this paper, we propose a service-centric approach for uplink distribution of real-time user-generated content based on the Quality of Experience (QoE) and popularity of the video content. In case of limited network resources, the proposed approach assigns more resources for popular contents while maintaining a minimum guaranteed QoE for the less popular ones. We compare our service-centric approach with a QoE-driven one that does not consider video popularity and evaluate both approaches for the uplink of an LTE system. The simulation results show that a significant gain in terms of average user satisfaction can be achieved.
KW - LTE uplink
KW - Quality of Experience
KW - service-centric resource allocation
KW - video popularity
UR - http://www.scopus.com/inward/record.url?scp=84856291277&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2011.6116708
DO - 10.1109/ICIP.2011.6116708
M3 - Conference contribution
AN - SCOPUS:84856291277
SN - 9781457713033
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 913
EP - 916
BT - ICIP 2011
T2 - 2011 18th IEEE International Conference on Image Processing, ICIP 2011
Y2 - 11 September 2011 through 14 September 2011
ER -