Video rate adaptation and traffic engineering in mobile edge computing and caching-enabled wireless networks
Recent advances in software-defined mobile networks (SDMNs), in-network caching, and mobile edge computing (MEC) can have great effects on video services in next generation mobile networks. In this paper, we jointly consider SDMNs, innetwork caching, and MEC to enhance the video service in next generation mobile networks.With the objective of maximizing the mean measurement of video quality, an optimization problem is formulated. Due to the coupling of video data rate, computing resource, and traffic engineering (bandwidth provisioning and paths selection), the problem becomes intractable in practice. Thus, we utilize dual-decomposition method to decouple those three sets of variables. Extensive simulations are conducted with different system configurations to show the effectiveness of the proposed scheme.
|Keywords||In-network caching, Mobile edge computing, Software-defined mobile networks, Traffic engineering, Video rate adaptation|
|Conference||86th IEEE Vehicular Technology Conference, VTC Fall 2017|
Liang, C. (Chengchao), He, Y. (Ying), Yu, F.R, & Zhao, N. (Nan). (2018). Video rate adaptation and traffic engineering in mobile edge computing and caching-enabled wireless networks. In IEEE Vehicular Technology Conference (pp. 1–5). doi:10.1109/VTCFall.2017.8288204