Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/143898
Title: Joint sponsored and edge caching content service market : a game-theoretic approach
Authors: Xiong, Zehui
Feng, Shaohan
Niyato, Dusit
Wang, Ping
Leshem, Amir
Han, Zhu
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Xiong, Z., Feng, S., Niyato, D., Wang, P., Leshem, A., & Han, Z. (2019). Joint Sponsored and Edge Caching Content Service Market: A Game-Theoretic Approach. IEEE Transactions on Wireless Communications, 18(2), 1166–1181. doi:10.1109/twc.2018.2890469
Journal: IEEE Transactions on Wireless Communications
Abstract: In a sponsored content scheme, a wireless network operator negotiates with a sponsored content service provider where the latter can pay the former to lower the cost of the mobile subscribers/users to access certain content. As such, the scheme motivates the entities in the sponsored content ecosystem to be more actively involved. Meanwhile, with the forthcoming 5G cellular networks, edge caching becomes a promising technology for traffic offloading to reduce cost and improve service quality of the content service. The key idea is that an edge caching content service provider caches content on edge networks. The cached content is then delivered to mobile users locally, reducing latency substantially. In this paper, we propose the joint sponsored and edge caching content service market model. We investigate an interplay between the sponsored content service provider and the edge caching content service provider under the non-cooperative game framework. Furthermore, the interactions among the wireless network operator, content service providers, and mobile users are modeled as a hierarchical three-stage Stackelberg game. In the game model, we analyze the sub-game perfect equilibrium in each stage through backward induction analytically. Additionally, the existence of the proposed Stackelberg equilibrium is validated by capitalizing on the bilevel optimization programming. Based on the analysis of the game properties, we propose a sub-gradient-based iterative algorithm, which guarantees to converge to the Stackelberg equilibrium.
URI: https://hdl.handle.net/10356/143898
ISSN: 1536-1276
DOI: 10.1109/TWC.2018.2890469
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/TWC.2018.2890469.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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