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Joint Optimization of Coverage and Capacity Based on Power Density Distribution in Heterogeneous Cellular Networks

机译:异构蜂窝网络中基于功率密度分布的覆盖和容量联合优化

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The paper presents a joint optimization algorithm for coverage and capacity in heterogeneous cellular networks. A joint optimization objective related to capacity loss considering both coverage hole and overlap area based on power density distribution is proposed. The optimization object is a NP problem due to that the adjusting parameters are mixed with discrete and continuous, so the bacterial foraging (BF) algorithm is improved based on network performance analysis result to find a more effective direction than randomly selected. The results of simulation show that the optimization object is feasible gains a better effect than traditional method.
机译:本文提出了一种针对异构蜂窝网络的覆盖和容量的联合优化算法。提出了一种基于功率密度分布的同时考虑覆盖孔和重叠面积的容量损失的联合优化目标。由于调整参数是离散的和连续的,因此优化目标是一个NP问题,因此基于网络性能分析结果改进了细菌觅食(BF)算法,以寻找比随机选择更有效的方向。仿真结果表明,优化目标是可行的,比传统方法具有更好的效果。

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