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Tag-assisted social-aware opportunistic device-to-device sharing for traffic offloading in mobile social networks

机译:标签辅助的社交感知机会设备到设备共享,用于移动社交网络中的流量卸载

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摘要

In recent years, the service demand for rich multimedia over mobile networks has continually been soaring at a tremendous pace. To solve the critical problem of mobile traffic explosion, substantial efforts have been made by researchers to try to offload mobile traffic from infrastructured cellular links to direct short-range communications locally among nearby users. In this article, we discuss the potential of combining users' online and offline social impacts to exploit D2D opportunistic sharing for offloading mobile traffic. We propose a tag-assisted social-aware D2D sharing framework, TASA, with corresponding optimization models, architecture design, and communication protocols. Through extensive simulations based on real data traces, we demonstrate that TASA can offload up to 78.9 percent of mobile traffic effectively.
机译:近年来,通过移动网络对富多媒体的服务需求以惊人的速度持续增长。为了解决移动通信量爆炸的关键问题,研究人员做出了巨大的努力,试图将移动通信量从基础设施的蜂窝链路中卸载,以直接在附近的用户之间进行短距离通信。在本文中,我们讨论了结合用户在线和离线社交影响来利用D2D机会共享来减轻移动流量负担的潜力。我们提出了一种标签辅助的社交感知D2D共享框架TASA,以及相应的优化模型,体系结构设计和通信协议。通过基于真实数据轨迹的大量模拟,我们证明TASA可以有效卸载高达78.9%的移动流量。

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