利用遗传算法对HetNet系统中的femto小区进行发射功率控制和信道分配

Kohta Nakamura, T. Tashiro, Keiji Yamamoto, Kenichi Ohno
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引用次数: 3

摘要

在异构网络(HetNet)系统中,宏单元和微单元之间的干扰避免是必要的。为了解决这一问题,我们提出了一种利用遗传算法控制发射功率和信道分配的方法。本文在宏观网络干扰约束下对室内环境参数进行了优化,并通过仿真对HetNet系统的吞吐量性能进行了评估。并对作为集成装置的控制板上的参数计算时间进行了评估。与不控制参数的吞吐量和计算时间相比,通过控制参数确定了复杂度较低的最小吞吐量和平均吞吐量的增加。
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Transmit power control and channel assignment for femto cells in HetNet systems using genetic algorithm
Interference avoidance between macro and femto cells is necessary in heterogeneous network (HetNet) systems. To solve the issues, we proposed a method that controls not only transmit power but also channel assignment by genetic algorithm. In this paper, we optimize parameters in indoor environment under the constraint from interference from macro networks and evaluate the throughput performance in HetNet Systems by simulation. We also evaluate the calculation time of parameters on the control board as the integrated device. We confirmed the increase of the minimum throughput and the average throughput with less complexity by controlling parameters, comparing with the throughput and calculation time by a method without controlling parameters.
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