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A Resource Allocation Framework for Scalable Video Broadcast in Cellular Networks.

, , and . MONET, 16 (6): 794-806 (2011)

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Opportunistic scheduling and rate adaptation for scalable broadcast video streaming., and . WOWMOM, page 1-3. IEEE Computer Society, (2011)A Resource Allocation Framework for Scalable Video Broadcast in Cellular Networks., , and . MONET, 16 (6): 794-806 (2011)Efficient Sensor Data Gathering and Resilient Communication for Rescue Scenarios., , , and . WMNC/PWC, volume 308 of IFIP Advances in Information and Communication Technology, page 152-163. Springer, (2009)When mobile networks meet content delivery networks: challenges and opportunities., , , and . MobiArch@MobiCom, page 11-16. ACM, (2012)Cognition-based networks: Applying cognitive science to multimedia wireless networking., , , , , and . WoWMoM, page 1-6. IEEE Computer Society, (2014)Analyzing the combination of different approaches for video transport optimization for next generation cellular networks., , , , and . IEEE Network, 27 (2): 8-14 (2013)A machine learning approach to QoE-based video admission control and resource allocation in wireless systems., , , , , , and . Med-Hoc-Net, page 31-38. IEEE, (2014)A Markov decision model for source video rate allocation and scheduling policies in mobile networks., , and . Med-Hoc-Net, page 119-125. IEEE, (2014)Performance analysis of dynamic adaptive video streaming over mobile content delivery networks., , , and . ICC, page 1053-1058. IEEE, (2014)Enhancing Video Delivery in the LTE Wireless Access Using Cross-Layer Mechanisms., , , and . MONAMI, volume 141 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 18-31. Springer, (2014)