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SUO: Social Reciprocity Based Cooperative Mobile Data Traffic Communication

机译:SUO:基于互惠互助的协作移动数据流量通信

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The widespread of mobile applications tightens wireless users' social relationships and encourages them to generate more data traffic under network effects. This boosts the demand for wireless services yet may challenge users' limited wireless capacities and budgets. In this paper, we employ collaborative communication services to address this challenge, by considering the network effect in a social-aware environment. Specifically, we develop an optimization model, namely SUO, for the problem formulation. Furthermore, we then propose a distributed update algorithm for users to reach the optimal decisions. We evaluate the performance of our proposed algorithm by numerical studies using real data, and thereby draw useful engineering insights for the operation of wireless providers.
机译:移动应用程序的广泛使用加强了无线用户的社交关系,并鼓励他们在网络效应下产生更多的数据流量。这增加了对无线服务的需求,但可能会挑战用户有限的无线容量和预算。在本文中,我们通过考虑社交意识环境中的网络效应,采用协作式通信服务来应对这一挑战。具体来说,我们为问题制定开发了一个优化模型,即SUO。此外,我们然后提出了一种分布式更新算法,以使用户达到最佳决策。我们通过使用实际数据进行数值研究来评估我们提出的算法的性能,从而为无线提供商的运营得出有用的工程见解。

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