超密集网络中干扰协调方法及性能分析

Interference Coordination Method and Performance Analysis in Ultra-dense Network (UDN)

  • 摘要: 在超密集网络中,全频重用能够提升网络的平均吞吐量,但严重的小区间干扰限制了边缘用户数据率的提升。如何有效地管理超密集网络中的干扰、提升边缘用户数据率是重要的研究问题。本文研究了超密集网络中两种有代表性的干扰协调方法,随机干扰协调和基于拓扑干扰协调,分析了这两种方法的平均数据率和边缘用户数据率、以及系统参数对其性能的影响。理论分析和仿真的结果表明,采用随机干扰协调能够提升边缘用户的信干噪比,但不能提升边缘用户数据率。这使得当系统增加频率重用因子时,会牺牲平均用户数据率同时也不能提高边缘用户数据率。采用基于拓扑的干扰协调能够同时提升边缘用户的信干噪比和数据率;当频率重用因子较低时,提高重用因子可以通过以较少牺牲平均用户数据率为代价有效提高边缘用户数据率,从而实现平均数据率和边缘用户数据率的折中。

     

    Abstract: In ultra-dense Networks (UDNs), full frequency reuse can improve the network throughput. However, severe inter-cell interference (ICI) degrades the experience of the cell edge users. To ensure the user experience at any location, it is crucial to investigate how to coordinate ICI effectively to improve the data rate of cell edge users. In this paper, we study two typical interference coordination methods, random interference coordination and topology-based interference coordination. We derive their average data rates and the data rates of cell edge users. Analytical and simulation results show that random interference coordination can improve the signal to interference and noise ratio (SINR) of cell edge users, but cannot improve their data rates. It indicates that simply increasing the reuse factor cannot improve the performance of cell edge users, meanwhile causes the loss of average data rate. By contrast, the topology-based interference coordination can enhance both the SINR and the data rate of cell edge users simultaneously. When frequency reuse factor is low, we can improve the data rate of cell edge users considerably at the cost of little loss of average rate. By increasing the frequency reuse factor, it can achieve a good trade-off between the average data rate and the data rate of cell edge users.

     

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