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Auction-Based Data Transaction in Mobile Networks: Data Allocation Design and Performance Analysis

机译:移动网络中的基于拍卖的数据事务:数据分配设计和性能分析

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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.
机译:由于具有高度强度智能手机,笔记本电脑和平板电脑的增殖,移动数据流量遇到前所未有的增加,并且移动数据卸载可用于将流量从蜂窝网络移动到其他无线基础设施,例如小型电池基站。这项工作通过提出基于智能手机热点功能的新型基础设施独立方法,解决了数据分配相关问题。在拟议的方案中,智能手机在移动用户之间传输数据津贴,使数据津贴多余的用户充当可访问的Wi-Fi热点,向其他需要额外数据津贴的用户销售其数据津贴。为实现这一目标,我们建议使用单一和多个数据销售商的拍卖。讨论了基于拍卖模型的高效方案,以在一个月内连续的日子销售数据津贴,在一天内在不同的时隙。基于移动用户的行为,例如改变销售或购买数据津贴的需求,考虑整体系统性能。我们的仿真实验表明,我们的仿真实验还表明,用户行为的知识可以显着提高数据津贴事务的性能,从而导致用户之间的高效分配。

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