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Cell Association for Multi Band 5G Cellular HetNets based on NBS

机译:基于NBS的多频段5G蜂窝HetNets的小区关联

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A future mobile trend is that traffic generated by smartphones will dominate even more than it does today. Recently, smartphone traffic is expected to increase by 10 times and total mobile traffic for all devices by 8 times and more than 90 percent of mobile data traffic will come from smartphones. For this reasons mobile users will need to be actively pushed onto the 5th generation mobile (5G), builds upon today's 4G mobile network technology, which promises to offer a higher connection speeds with lower latency, or time delays. In 5G, whatever the technology used, a user association technique is needed to determine whether a user is associated with a particular base station (BS) before data transmission starts. User association plays an indispensable role in enhancing the load balancing, the spectrum efficiency, and the energy efficiency of networks. The challenge here, is to make the appropriate association that achieve the minimum required data rate for each user with acceptable complexity. In this paper, the pragmatic user association is formulated as an optimization problem, which is resolved by Nash Bargaining Solution (NBS). Simulation results show that the proposed algorithm can enable network operators to support fair resource allocation and ensure that users can be served equitably by both macro cell and pico cell. Also this paper provide an algorithm with low-complexity and reaches to near-optimal solution with a high performance guarantee.
机译:未来的移动趋势是,智能手机所产生的流量将比现在更多。最近,智能手机流量预计将增长10倍,所有设备的总移动流量将增长8倍,并且超过90%的移动数据流量将来自智能手机。因此,移动用户将需要积极地推向基于当今4G移动网络技术的第五代移动(5G),该技术有望提供更高的连接速度,更低的延迟或时间延迟。在5G中,无论使用哪种技术,都需要一种用户关联技术来确定用户是否在数据传输开始之前与特定基站(BS)关联。用户协会在增强网络的负载平衡,频谱效率和能源效率方面起着不可或缺的作用。这里的挑战是要进行适当的关联,以可接受的复杂度为每个用户获得最低的所需数据速率。本文将实用的用户关联表述为一个优化问题,由Nash讨价还价解决方案(NBS)解决。仿真结果表明,该算法能够使网络运营商支持公平的资源分配,并确保宏小区和微微小区都能公平地服务用户。本文还提供了一种低复杂度的算法,并提供了具有高性能保证的接近最优的解决方案。

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