Chih-Yu WangYan ChenK. J. Ray LiuHUNG-YU WEI2018-09-102018-09-102013-04https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883124547&doi=10.1109%2fINFCOM.2013.6566831&partnerID=40&md5=7d18303a7e5a8d53d73253047e9cd8afHeterogeneous multimedia content delivery over wireless networks is an important yet challenging issue. A promising solution is combining multicasting and scalable video coding (SVC) techniques via cross-layer design which has been shown to be effectively solution in the literature. Nevertheless, most existing works on SVC multicasting system focus on the static scenarios. In addition, the economic value of SVC multicasting system has seldom been explored. In this work, we study a subscription-based SVC multicasting system with stochastic user arrival and heterogeneous user preferences. A stochastic framework based on Multi-dimensional Markov Decision Process (M-MDP) is proposed to study the negative network externality existing in the proposed system. A game-theoretic analysis is conducted to understand the rational demands from heterogeneous users the subscription economic model. We show that the optimal pricing strategy which maximizes the expected revenue of the service provider can be derived through dynamic iterative updating techniques. Moreover, the overall user's valuation on the system is maximized under such an optimal pricing strategy. Finally, the solution efficiency is evaluated through simulations. © 2013 IEEE.Cross-layer design; Economic modeling; Heterogeneous users; Markov Decision Processes; Multimedia content delivery; Network externality; Stochastic framework; Updating techniques; Costs; Economics; Iterative methods; Markov processes; Optimization; Scalable video coding; Stochastic systems; Multicastingconference paper10.1109/INFCOM.2013.65668312-s2.0-84883124547