Department of Electrical and Computer Engineering, University of Maryland, College Park, MD 20742, USA.
IEEE Trans Image Process. 2012 May;21(5):2667-80. doi: 10.1109/TIP.2012.2190609. Epub 2012 Mar 12.
Mobile phones are among the most popular consumer devices, and the recent developments of 3G networks and smart phones enable users to watch video programs by subscribing data plans from service providers. Due to the ubiquity of mobile phones and phone-to-phone communication technologies, data-plan subscribers can redistribute the video content to nonsubscribers. Such a redistribution mechanism is a potential competitor for the mobile service provider and is very difficult to trace given users' high mobility. The service provider has to set a reasonable price for the data plan to prevent such unauthorized redistribution behavior to protect or maximize his/her own profit. In this paper, we analyze the optimal price setting for the service provider by investigating the equilibrium between the subscribers and the secondary buyers in the content-redistribution network. We model the behavior between the subscribers and the secondary buyers as a noncooperative game and find the optimal price and quantity for both groups of users. Based on the behavior of users in the redistribution network, we investigate the evolutionarily stable ratio of mobile users who decide to subscribe to the data plan. Such an analysis can help the service provider preserve his/her profit under the threat of the redistribution networks and can improve the quality of service for end users.
手机是最受欢迎的消费类设备之一,最近 3G 网络和智能手机的发展使用户能够通过订阅服务提供商的数据计划来观看视频节目。由于手机的普及和手机到手机的通信技术,数据计划用户可以将视频内容重新分配给非订阅用户。这种重新分配机制对移动服务提供商构成了潜在的竞争对手,并且由于用户的高度移动性,很难追踪到这种行为。服务提供商必须为数据计划设定合理的价格,以防止这种未经授权的重新分配行为,从而保护或最大化其自身利益。在本文中,我们通过调查内容重新分配网络中订阅者和二级购买者之间的均衡,分析服务提供商的最优价格设定。我们将订阅者和二级购买者之间的行为建模为非合作博弈,并找到两组用户的最优价格和数量。基于重新分配网络中用户的行为,我们研究了决定订阅数据计划的移动用户的稳定比例。这种分析可以帮助服务提供商在重新分配网络的威胁下保护自己的利润,并提高最终用户的服务质量。