Hybrid pricing for TV white space database

Xiaojun Feng, Qian Zhang, Jin Zhang
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引用次数: 21

Abstract

According to the recent rulings of the Federal Communications Commission (FCC), TV white spaces (TVWS) can now be accessed by secondary users (SUs) after a list of vacant TV channels is obtained via a geo-location database. Proper business models are essential for database operators to manage the cost of maintaining geo-location databases. Database access can be simultaneously priced under two different schemes: the registration scheme and the service plan scheme. In the registration scheme, the database reserves part of the TV bandwidth for registered White Space Devices (WSD) in a soft-license way. In the service plan scheme, WSDs are charged according to their queries. In this paper, we investigate the business model for the TVWS database under a hybrid pricing scheme. We consider the scenario where a database operator employs both the registration scheme and the service plan scheme to serve the SUs. The SUs' choices of different pricing schemes are modeled as a non-cooperative game and we derive distributed algorithms to achieve the Nash Equilibrium (NE). Considering the NE of the SUs, the database operator optimally determines the pricing parameters for both pricing schemes in terms of bandwidth reservation, registration fee and query plans.
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电视空白空间数据库的混合定价
根据联邦通信委员会(FCC)最近的规定,在通过地理位置数据库获得空闲电视频道列表后,二级用户(su)现在可以访问电视空白空间(TVWS)。正确的商业模式对于数据库运营商管理维护地理位置数据库的成本至关重要。数据库访问可以在两种不同的方案下同时定价:注册方案和服务计划方案。在注册方案中,数据库以软许可的方式为注册的白色空间设备(WSD)保留部分电视带宽。在服务计划方案中,按查询次数收费。本文研究了一种混合定价方案下的TVWS数据库业务模型。我们考虑这样一个场景:数据库运营商同时使用注册方案和服务计划方案来为SUs提供服务。将SUs对不同定价方案的选择建模为非合作博弈,并推导出实现纳什均衡(NE)的分布式算法。考虑到单节点的网元,数据库运营商从带宽预留、注册费用和查询计划三个方面对两种定价方案的定价参数进行了优化。
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