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An Optimization Algorithm for the Sale of Overage Data in Hong Kong's Mobile Data Exchange Market

机译:在香港移动数据交换市场销售超额数据的优化算法

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Internet service providers are offering shared data plans where multiple users may purchase and share a single pool of data. In the Chinese economy, users have the ability to sell unused data on the Hong Kong Exchange Market, called "2cm", currently maintained by AT&T internet services. We propose a software-defined network for modeling this wireless data exchange market; a fully connected, pure "point of sale" market. A game-theoretical analysis identifies and defines rules for a progressive second price (PSP) auction, which adheres to the underlying market structure. We allow for a single degree of statistical freedom-the reserve price-and show that data exchange markets allow for greater flexibility in acquisition decision-making and mechanism design with an emphasis on optimization of software-defined networks. We have designed a framework to optimize this strategy space using the inherent elasticity of supply and demand. Using a game theoretic analysis, we derive a buyer-response strategy for wireless users based on second price market dynamics and prove the existence of a balanced pricing scheme. We examine shifts in the market price function and prove that the desired properties for optimization to a Nash equilibrium hold.
机译:Internet服务提供商提供共享数据计划,其中多个用户可以购买并共享单一数据池。在中国经济中,用户有能力在香港汇兑市场上出售未使用的数据,称为“2CM”,目前由AT&T互联网服务维护。我们提出了一种用于建模此无线数据交换市场的软件定义网络;完全连接,纯粹的“销售点”市场。游戏理论分析确定并定义了渐进式二价(PSP)拍卖的规则,遵守潜在的市场结构。我们允许单一程度的统计自由 - 储备价格 - 并表明数据交换市场允许采购决策和机制设计中的更大灵活性,重点是优化软件定义的网络。我们设计了一个框架,可以使用所需的供需弹性来优化该策略空间。使用游戏理论分析,我们推导出基于第二个价格市场动态的无线用户的买方 - 反应策略,并证明存在平衡定价方案。我们在市场价格函数中检查转变,并证明所需的优化属性用于纳什均衡保持。

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