Comparison of interference control methods in large heterogeneous networks

O. Grøndalen, K. Mahmood, O. Østerbø
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引用次数: 1

Abstract

Efficient interference control is a prerequisite for realizing the possible capacity gains in large heterogeneous networks. An efficient way to do this is to mute some Base Station (BS) transmissions in some time frames to let other BSs serve their users. Two approaches for doing this is studied; a simple one similar to the schemes used in current mobile technologies and a more complex one with higher performance gains. The complex approach jointly optimizes user attachment, scheduling and muting and requires that a large convex optimization problem is solved. By exploiting structure and sparseness properties it is shown that the computational complexity can be significantly reduced, so that the method can be feasible even in relatively large networks. The performance of the two approaches were compared in a simulation study. It was found that the simple method gave significant performance improvements compared to the case without interference control and that it offered flexibility to trade off improved edge user throughput against a lower average user throughput. The more complex approach gave better performance, even though the muting configuration candidates were selected randomly. The results indicate that significant improvements are possible by selecting the configuration candidates in a more optimal way.
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大型异构网络中干扰控制方法的比较
有效的干扰控制是实现大型异构网络中可能的容量增益的先决条件。一种有效的方法是在某些时间段内关闭某些基站(BS)的传输,以便让其他基站为其用户提供服务。研究了两种方法;一个简单的类似于当前移动技术中使用的方案,一个更复杂的具有更高性能增益的方案。该复杂方法对用户依恋、调度和静音进行了联合优化,需要解决一个大的凸优化问题。通过利用结构和稀疏性,可以显著降低计算复杂度,使得该方法即使在较大的网络中也是可行的。在仿真研究中比较了两种方法的性能。结果发现,与没有干扰控制的情况相比,简单的方法提供了显着的性能改进,并且它提供了灵活性,可以将改进的边缘用户吞吐量与较低的平均用户吞吐量进行权衡。更复杂的方法给出了更好的性能,即使是随机选择的候选静音配置。结果表明,以更优的方式选择候选配置可以显著改善性能。
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