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A Cross-Tier Cooperation Resource Allocation Approach Over Ultra-Dense Heterogeneous Networks

机译:超密集异构网络的跨层合作资源分配方法

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In this paper, we proposed a cross-tier cooperation resource allocation (CCRA) scheme over the Ultra-dense heterogeneous network (UDHN) to improve the whole system throughput. First, we use the cooperation signal-to-interference-plus-noise ratio (SINR) threshold to classify three types of user equipments (UEs). And we use stochastic geometry to analyze the effect of the cooperation SINR threshold on the number of UEs. We focus on using the dedicated channel to decrease cross-tier interference. In order to enhance the total system throughput, an NP-hard problem is formulated. In order to reduce the computational complexity, we decompose this resource allocation problem into subcarrier allocation and power allocation and we use two algorithms to solve it. The simulation results show that the system throughput is significantly improved by using the proposed CCRA scheme in a dense environment.
机译:在本文中,我们提出了通过超密集的异构网络(UDHN)的跨层合作资源分配(CCRA)方案来提高整个系统吞吐量。首先,我们使用合作信号到干扰 - 噪声比(SINR)阈值来分类三种类型的用户设备(UE)。我们使用随机几何形状来分析合作SINR阈值对UE数量的影响。我们专注于使用专用频道来降低交叉层干扰。为了提高总系统吞吐量,制定了NP-Coll问题。为了降低计算复杂性,我们将该资源分配问题分解为子载波分配和功率分配,并且我们使用两个算法来解决它。仿真结果表明,通过在密集环境中使用所提出的CCRA方案,系统通量显着提高。

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