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Investigation on joint optimization for user association and inter-cell interference coordination based on proportional fair criteria

机译:基于比例公布标准的用户协会和细胞间干扰协调联合优化的调查

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In order to support the continuous growth in the amount of mobile traffic, small cell deployments, that increase the base station (BS) density, are promising. In small cell deployments, combined usage of user association and inter-cell interference coordination (ICIC) is inevitable. This paper investigates the joint optimization of user association and ICIC in the downlink. We first formulate the joint optimization problem as a utility maximization problem. We then employ the logarithmic utility function known as the proportional fair criteria. The optimum user association and the ICIC are derived by solving a convex optimization problem based on the average spectral efficiencies of all users. We propose an iterative algorithm to obtain the optimum solution to this problem. We evaluate the performance of the proposed algorithm in the small cell deployments and shows that the proposed algorithm works well. Furthermore, we show that the combined usage of the inter-tier ICIC and intra-tier ICIC enhances the throughput performance compared to schemes employing either the inter-or intra-tier ICIC scheme.
机译:为了支持移动流量的持续增长,小型电池部署,增加基站(BS)密度,是有前途的。在小型电池部署中,用户关联的组合使用和小区间干扰协调(ICIC)是不可避免的。本文调查了下行链路中用户协会和ICIC的联合优化。我们首先将联合优化问题制定为效用最大化问题。然后,我们使用称为比例公平标准的对数实用程序函数。通过基于所有用户的平均光谱效率来解决凸优化问题来导出最佳用户关联和ICIC。我们提出了一种迭代算法来获得对此问题的最佳解决方案。我们评估所提出的算法在小型电池部署中的性能,并表明所提出的算法运行良好。此外,我们表明,与采用包括层间ICIC方案的方案相比,层间ICIC和层内ICIC的组合使用增强了吞吐量性能。

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