Successive Interference Cancellation in Heterogeneous Cellular Networks
Successive Interference Cancellation in Heterogeneous Cellular Networks
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发表时间：
2013-09
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通讯作者：
M. Wildemeersch;Tony Q. S. Quek;M. Kountouris;A. Rabbachin;C. Slump
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作者：
M. Wildemeersch;Tony Q. S. Quek;M. Kountouris;A. Rabbachin;C. Slump
目前，运营商通过蜂窝网络的致密化来解决移动的数据需求的爆炸性增长，以便减小发射机-接收机距离并实现更高的频谱效率。由于这样的网络密集化和无线设备的急剧增长，现代无线网络是干扰受限的，这促使使用干扰减轻和协调技术。在这项工作中，我们开发了一个统计框架，以评估性能的多层异构网络连续干扰消除（SIC）的能力，会计的计算复杂度的消除方案和相关的网络相关的参数，如随机位置的接入点（AP）和移动的用户，和无线传播信道的特性。我们明确建模的连续事件的取消干扰，我们推导出成功的概率，以取消第n个最强的信号，并解码后的信号感兴趣的n次取消。当用户连接到提供最大平均接收信号功率的AP时，分析表明SIC的性能增益随着n迅速减小，并且对于信号干扰比（SIR）的实际值，其益处是适度的。我们扩展的统计模型，包括几个关联政策，其中不同的收益SIC预期：（i）最小负载关联，（ii）最大的瞬时SIR关联，和（iii）范围扩展。数值结果表明SIC的有效性所考虑的关联策略。这项工作加深了SIC的理解，通过定义不同的关联策略在多层异构网络中可实现的收益。
At present, operators address the explosive growth of mobile data demand by densification of the cellular network so as to reduce the transmitter-receiver distance and to achieve higher spectral efficiency. Due to such network densification and the intense proliferation of wireless devices, modern wireless networks are interference-limited, which motivates the use of interference mitigation and coordination techniques. In this work, we develop a statistical framework to evaluate the performance of multi-tier heterogeneous networks with successive interference cancellation (SIC) capabilities, accounting for the computational complexity of the cancellation scheme and relevant network related parameters such as random location of the access points (APs) and mobile users, and the characteristics of the wireless propagation channel. We explicitly model the consecutive events of canceling interferers and we derive the success probability to cancel the n-th strongest signal and to decode the signal of interest after n cancellations. When users are connected to the AP which provides the maximum average received signal power, the analysis indicates that the performance gains of SIC diminish quickly with n and the benefits are modest for realistic values of the signal-to-interference ratio (SIR). We extend the statistical model to include several association policies where distinct gains of SIC are expected: (i) minimum load association, (ii) maxi- mum instantaneous SIR association, and (iii) range expansion. Numerical results show the effectiveness of SIC for the considered association policies. This work deepens the understanding of SIC by defining the achievable gains for different association policies in multi-tier heterogeneous networks.