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Improving Mobile Video Quality Through Predictive Channel Quality Based Buffering

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Modeling Stability and Bitrate of Network-Assisted HTTP Adaptive Streaming Players., , , and . ITC, page 177-184. IEEE, (2015)Prosuming live multimedia content in 5G-enabied smart cities., , , , , and . MMSys, page 312-315. ACM, (2019)An SDN Architecture for Privacy-Friendly Network-Assisted DASH., , and . ACM Trans. Multim. Comput. Commun. Appl., 13 (3s): 44:1-44:22 (2017)A Markov Model for Evaluating Resource Sharing Policies for DASH Assisting Network Elements., , , and . ITC, page 112-120. IEEE, (2016)Dynamic Edge Offloading for Real-time Video Processing Pipelines., , , , , , and . MMSP, page 1. IEEE, (2021)A Markov Model for Evaluating Resource Sharing Policies for DASH Assisting Network Elements, , , and . 28th International Teletraffic Congress (ITC 28), Würzburg, Germany, (September 2016)A model for evaluating sharing policies for network-assisted HTTP adaptive streaming., , , and . Comput. Networks, (2016)Delivering stable high-quality video: an SDN architecture with DASH assisting network elements., , and . MMSys, page 4:1-4:10. ACM, (2016)Enhancing Over-the-Top Video Streaming Quality with DASH Assisting Network Elements.. TVX (Adjunct), page 113-116. ACM, (2017)Improving Mobile Video Quality Through Predictive Channel Quality Based Buffering, , , , , and . 30th International Teletraffic Congress (ITC 30), Vienna, Austria, (2018)