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A Distributed Coalition Game Approach to Femto-Cloud Formation

机译:飞云形成的分布式联盟博弈方法

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摘要

This paper studies distributed formation of femto-clouds in a UMTS LTE network. Femtocell access points (FAPs) are equipped with computational resources. They share their resources with neighboring FAPs and form local clouds with the aim to avoid the remote cloud costs while improving the user quality of experience (QoE) in terms of handling latency. In exchange for sharing their excess resources, FAPs receive monetary incentives proportional to their contribution in performing computational tasks in the femto-cloud. The resource sharing problem is formulated as an optimization problem and a myopic procedure is presented that enables FAPs to collaboratively find its solution in a distributed fashion. In such an optimal femto-cloud structure, the local computational resources of FAPs are maximally exploited, yet the incentive earned by each femto-cloud is divided among the FAPs in a fair fashion. Numerical simulations using NS-3 verify superior QoE of users as well as higher incentives provided to FAP owners as compared with alternative heuristic schemes. Numerical results also show that the grand femto-cloud-the largest collaborative cloud comprising of all FAPs-is not always the optimal structure.
机译:本文研究了UMTS LTE网络中的毫微微云的分布式形成。毫微微小区接入点(FAP)配备了计算资源。他们与邻近的FAP共享资源并形成本地云,目的是避免远程云成本,同时在处理延迟方面提高用户体验质量(QoE)。作为共享多余资源的交换,FAP会获得与其在毫微微云中执行计算任务的贡献成正比的金钱奖励。将资源共享问题表述为优化问题,并提出了使FAP能够以分布式方式协同找到其解决方案的近视过程。在这种最佳的毫微微云结构中,FAP的本地计算资源得到了最大程度的利用,但是每个毫微微云所获得的激励以公平的方式分配给了FAP。与其他启发式方案相比,使用NS-3进行的数值模拟验证了用户的出色QoE以及对FAP所有者的更高激励。数值结果还表明,大型毫微微云(由所有FAP组成的最大协作云)并非始终是最佳结构。

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