Mobile data traffic is experiencing unprecedented increases due to the proliferation of highly capable smartphones, laptops and tablets, and mobile data offloading can be used to move traffic from cellular networks to other wireless infrastructures such as small-cell base stations. This work addresses the related issue of data allocation, by proposing a novel infrastructure independent method based on the hotspot function of smartphones. In the proposed scheme, smartphones transfer data allowances among mobile users, so that users with excess data allowances act as accessible Wi-Fi hotspots, selling their data allowance to other users who need extra data allowances. To achieve this objective, we propose to use auctions with single and multiple data sellers. Efficient schemes based on auction models are discussed to sell the data allowances over successive days in a month, and over different time slots during a single day. Overall system performance is considered based on the behavior of mobile users, such as changing demands for the sale or purchase of data allowances. Together with the analytical results presented, our simulation experiments also indicate that knowledge of user behavior can significantly improve the performance of data allowance transactions, leading to highly efficient allocations among users.

中文翻译：

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移动网络中基于拍卖的数据交易：数据分配设计和性能分析

由于功能强大的智能手机、笔记本电脑和平板电脑的激增，移动数据流量正在经历前所未有的增长，移动数据卸载可用于将流量从蜂窝网络转移到其他无线基础设施，如小型蜂窝基站。这项工作通过提出一种基于智能手机热点功能的新型基础设施独立方法，解决了数据分配的相关问题。在提议的方案中，智能手机在移动用户之间传输数据流量，让拥有超额数据流量的用户充当可访问的 Wi-Fi 热点，将他们的流量流量出售给需要额外流量流量的其他用户。为了实现这一目标，我们建议对单个和多个数据卖家使用拍卖。讨论了基于拍卖模型的有效方案，以在一个月中的连续几天以及一天中的不同时间段出售数据配额。整体系统性能是根据移动用户的行为来考虑的，例如不断变化的销售或购买数据配额的需求。连同所呈现的分析结果，我们的模拟实验还表明，对用户行为的了解可以显着提高数据配额交易的性能，从而实现用户之间的高效分配。