Game Theoretic Analysis for Joint Sponsored and Edge Caching Content Service Market

With a sponsored content scheme in a wireless network, a sponsored content service provider can pay to a network operator on behalf of the mobile users/subscribers to lower down the network subscription fees at the reasonable cost in terms of receiving some amount of advertisements. As such, content providers, network operators and mobile users are all actively motivated to participate in the sponsored content ecosystem. Meanwhile, in 5G cellular networks, caching technique is employed to improve content service quality, which stores potentially popular contents on edge networks nodes to serve mobile users. In this work, 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, a three-stage Stackelberg game is formulated to model the interactions among the network operator, content service provider, and mobile users. Sub-game perfect equilibrium in each stage is analyzed by backward induction. The existence of Stackelberg equilibrium is validated by employing the bilevel optimization programming. Based on the game properties, we propose a sub-gradient based iterative algorithm, which ensures to converge to the Stackelberg equilibrium.

[1]  Sangtae Ha,et al.  Sponsoring mobile data: An economic analysis of the impact on users and content providers , 2015, 2015 IEEE Conference on Computer Communications (INFOCOM).

[2]  Dusit Niyato,et al.  A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content/Service Markets , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[3]  Zhu Han,et al.  Game Theory in Wireless and Communication Networks: Theory, Models, and Applications , 2011 .

[4]  Dusit Niyato,et al.  Economic Analysis of Network Effects on Sponsored Content: A Hierarchical Game Theoretic Approach , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[5]  Zhu Han,et al.  A Hierarchical Game Framework for Resource Management in Fog Computing , 2017, IEEE Communications Magazine.

[6]  Haitian Pang,et al.  Joint Optimization of Data Sponsoring and Edge Caching for Mobile Video Delivery , 2016, 2016 IEEE Global Communications Conference (GLOBECOM).

[7]  Rachid El Azouzi,et al.  Competitive caching of contents in 5G edge cloud networks , 2016, 2017 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[8]  Zhu Han,et al.  Network Effect-Based Sequential Dynamic Pricing for Mobile Social Data Market , 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

[9]  R. Sundaram A First Course in Optimization Theory: Bibliography , 1996 .

[10]  Jun Luo,et al.  A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market , 2017, 2018 IEEE Global Communications Conference (GLOBECOM).

[11]  Zhu Han,et al.  Joint Sponsored and Edge Caching Content Service Market: A Game-Theoretic Approach , 2019, IEEE Transactions on Wireless Communications.

[12]  Matti Latva-aho,et al.  Caching in Wireless Small Cell Networks: A Storage-Bandwidth Tradeoff , 2016, IEEE Communications Letters.

[13]  Dusit Niyato,et al.  Competition and cooperation analysis for data sponsored market: A network effects model , 2017, 2018 IEEE Wireless Communications and Networking Conference (WCNC).

[14]  Stephan Dempe,et al.  Foundations of Bilevel Programming , 2002 .