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An Application-Aware Spectrum Sharing Approach for Commercial Use of 3.5 GHz Spectrum

机译:用于商业用途的应用感知频谱共享方法3.5 GHz频谱

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In this paper, we introduce an application-aware spectrum sharing approach for sharing the Federal under-utilized 3.5 GHz spectrum with commercial users. In our model, users are running elastic or inelastic traffic and each application running on the user equipment (UE) is assigned a utility function based on its type. Furthermore, each of the small cells users has a minimum required target utility for its application. In order for users located under the coverage area of the small cells' eNodeBs, with the 3.5 GHz band resources, to meet their minimum required quality of experience (QoE), the network operator makes a decision regarding the need for sharing the macro cell's resources to obtain additional resources. Our objective is to provide each user with a rate that satisfies its application's minimum required utility through spectrum sharing approach and improve the overall QoE in the network. We present an application-aware spectrum sharing algorithm that is based on resource allocation with carrier aggregation to allocate macro cell permanent resources and small cells' leased resources to UEs and allocate each user's application an aggregated rate that can at minimum achieves the application's minimum required utility. Finally, we present simulation results for the performance of the proposed algorithm.
机译:在本文中,我们介绍了一种用于与商业用户共享联邦3.5 GHz频谱的应用感知频谱共享方法。在我们的模型中,用户正在运行弹性或非弹性流量,并且在用户设备(UE)上运行的每个应用程序都基于其类型分配了实用程序功能。此外,每个小型电池用户具有最低所需的目标实用程序,用于其应用。为了让用户位于小型电池的覆盖区域的eNodebs下,通过3.5 GHz乐队资源,为了满足其最低要求的经验质量(QoE),网络运营商对需要共享宏小区资源的需求做出决定获得额外的资源。我们的目标是为每个用户提供通过频谱共享方法满足其应用最小所需实用程序的速率,并改善网络中的整体QoE。我们提出了一种基于载波聚合的资源分配的应用程序感知频谱共享算法,以将宏小区永久资源和小单元格租用资源分配给UE,并分配每个用户的应用程序,该汇总速率最小可以实现应用程序的最小所需实用程序。最后,我们提出了算法的性能的仿真结果。

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