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Multimedia content diffusion approach for emerging 5G mobile social networks

机译:新兴的5G移动社交网络的多媒体内容传播方法

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In the emerging Fifth Generation (5G) systems mobile social networks will play an important role for disseminating information and multimedia contents. In such a scenario, short range transmissions and multicast services are considered as promising technologies in order to disseminate contents as fast as possible. This paper proposes a viral information diffusion approach for improving the information diffusion time among a large number of users. A novel expected information diffusion time is considered by taking into account system metrics on both network and social side. In particular, we defined a new metric named social network contact time which describes the social interaction time between a generic user and the social platform. We compared the proposed approach with conventional multicast scheme and social information diffusion approach based on distance. Results show that the proposed viral algorithm achieves considerable gains in term of information diffusion time and data rate per UE. In particular, the gain experienced by the users in term of content dissemination varies between the 14% and 48%.
机译:在新兴的第五代(5G)系统中,移动社交网络将在传播信息和多媒体内容方面发挥重要作用。在这种情况下,短距离传输和多播服务被认为是有前途的技术,以便尽可能快地传播内容。本文提出了一种病毒信息传播方法,以缩短大量用户之间的信息传播时间。考虑到网络和社交方面的系统指标,可以考虑一种新颖的预期信息传播时间。特别是,我们定义了一个名为“社交网络联系时间”的新指标,该指标描述了通用用户与社交平台之间的社交互动时间。我们将提出的方法与传统的多播方案和基于距离的社交信息传播方法进行了比较。结果表明,所提出的病毒算法在信息扩散时间和每个UE的数据速率方面取得了可观的收益。尤其是,用户在内容传播方面所获得的收益在14%和48%之间变化。

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