Motivating Human-Enabled Mobile Participation for Data Offloading

Motivating Human-Enabled Mobile Participation for Data Offloading
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DOI:
10.1109/tmc.2017.2773087
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发表时间:
2018-07
影响因子:
7.9
通讯作者:
Xiaonan Zhang;Linke Guo;Ming Li;Yuguang Fang
Xiaonan Zhang;Linke Guo;Ming Li;Yuguang Fang
中科院分区:
计算机科学2区
文献类型:
--
作者:
Xiaonan Zhang;Linke Guo;Ming Li;Yuguang Fang

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移动设备的爆炸式流行使人们能够享受到各种有趣的移动应用带来的好处。然而,不断增长的数据流量加剧了当前蜂窝网络的拥塞,导致用户的不满,特别是在拥挤的地区。因此,如何缓解蜂窝网络中的数据流量成为一个具有挑战性的问题。传统方法依赖移动卸载技术来转移最初针对蜂窝网络的数据流量,如小蜂窝、Wi-Fi和机会通信。不幸的是,当大量用户请求数据时,移动用户仍然会经历严重的拥塞。面对这些挑战,我们引入了移动参与的概念,通过利用用户的移动性和一组用户之间的社交功能来帮助卸载数据。移动缓存用户预先缓存一定数量的内容,为了满足用户的请求,会在拥堵区域漫游,参与内容传播,这有望同时造福于自己和人群中的用户。为了激励这种人为的移动参与数据卸载,Stackelberg游戏的部署综合考虑了社会效应和延迟效应。在详细的性能分析的基础上,论证了该方法的可行性和有效性。
The exploding popularity of mobile devices enables people to enjoy benefits brought by various interesting mobile apps. However, the ever-increasing data traffic has exacerbated the congestion on current cellular networks, which results in users’ dissatisfaction, especially in crowded areas. Hence, how to alleviate data traffic in cellular networks becomes a challenging problem. Traditional methods rely on mobile offloading techniques to deviate the data traffic originally targeted to cellular networks, such as the small cell, Wi-Fi, and opportunistic communication. Unfortunately, mobile users still experience severe congestion when a large number of users request for data. Facing these challenges, we introduce the concept of mobile participation to assist data offloading by leveraging the mobility of users and the social features among a group of users. A mobile caching user, who pre-caches a certain amount of contents, will roam around congested areas to participate in content dissemination in order to satisfy users’ requests, which is expected to benefit both himself and users in the crowd simultaneously. To motivate such human-enabled mobile participation for data offloading, a Stackelberg game is deployed with joint considerations on social effect and delay effect. Based on detailed performance analysis, we demonstrate the feasibility and efficiency of the proposed approach.