Journal ArticleDOI
Edge Caching for Layered Video Contents in Mobile Social Networks
TLDR
Simulation results show that the proposed method outperforms the exiting counterparts with a higher hit ratio and lower delay of delivering video contents, and leveraging the backward induction method, the optimal strategy of each player in the game model is proposed.Abstract:
To improve the performance of mobile video delivery, caching layered videos at a site near to mobile end users (e.g., at the edge of mobile service provider's backbone) was advocated because cached videos can be delivered to mobile users with a high quality of experience, e.g., a short latency. How to optimally cache layered videos based on caching price, the available capacity of cache nodes, and the social features of mobile users, however, is still a challenging issue. In this paper, we propose a novel edge caching scheme to cache layered videos. First, a framework to cache layered videos is presented in which a cache node stores layered videos for multiple social groups, formed by mobile users based on their requests. Due to the limited capacity of the cache node, these social groups compete with each other for the number of layers they request to cache, aiming at maximizing their utilities while all mobile users in each group share the cost involved in the cache of video contents. Second, a Stackelberg game model is developed to study the interaction among multiple social groups and the cache node, and a noncooperative game model is introduced to analyze the competition among mobile users in different social groups. Third, leveraging the backward induction method, the optimal strategy of each player in the game model is proposed. Finally, simulation results show that the proposed method outperforms the exiting counterparts with a higher hit ratio and lower delay of delivering video contents.read more
Citations
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Journal ArticleDOI
Collaborative Computation Offloading for Multiaccess Edge Computing Over Fiber–Wireless Networks
Hongzhi Guo,Jiajia Liu +1 more
TL;DR: In this paper, the problem of cloud-MEC collaborative computation offloading is studied, and two schemes are proposed as the solutions, i.e., an approximation collaborative offloading scheme, and a game-theoretic collaborative computation Offloading scheme.
Journal ArticleDOI
Air-Ground Integrated Mobile Edge Networks: Architecture, Challenges, and Opportunities
TL;DR: In this paper, a novel air-ground integrated mobile edge network (AGMEN) is proposed, where UAVs are flexibly deployed and scheduled, and assist the communication, caching, and computing of the edge network.
Journal ArticleDOI
An Edge Caching Scheme to Distribute Content in Vehicular Networks
TL;DR: A cross-entropy-based dynamic content caching scheme is proposed accordingly to cache the contents at the edge of VCNs based on the requests of vehicles and the cooperation among RSUs and the performance of the proposed scheme is evaluated by extensive simulation experiments.
Journal ArticleDOI
QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey
Alcardo Alex Barakabitze,Nabajeet Barman,Arslan Ahmad,Saman Zadtootaghaj,Lingfen Sun,Maria G. Martini,Luigi Atzori +6 more
TL;DR: In this article, the authors provide a comprehensive survey of QoE management solutions in current and future networks, and present a list of identified future QOE management challenges regarding emerging multimedia applications, network management and orchestration.
Journal ArticleDOI
Cache Less for More: Exploiting Cooperative Video Caching and Delivery in D2D Communications
TL;DR: A user-centric video transmission mechanism based on device-to-device communications that allows mobile users to cache and share videos between each other, in a cooperative manner, to achieve a QoE-guaranteed video streaming service in a cellular network.
References
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