Interference and Outage in Poisson Cognitive Networks
Interference and Outage in Poisson Cognitive Networks
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DOI：
10.1109/twc.2012.021512.110131
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发表时间：
2012-02
影响因子：
10.4
通讯作者：
Chia-han Lee;M. Haenggi
中科院分区：
文献类型：
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作者：
Chia-han Lee;M. Haenggi
考虑一个具有两种类型用户的认知无线网络：主要用户（pu）和认知用户（cu），其位置遵循两个独立的泊松点过程。认知用户遵循的策略是，认知发射器只有在主用户排除区域之外时才处于活动状态。我们发现，在这种设置下，活跃的认知用户形成一个称为泊松洞过程的点过程。由于主要用户和认知用户之间的交互是通过排斥区域进行的，因此无法精确计算干扰和中断概率。相反，采取了两种不同的方法来解决这个问题。首先，推导了干扰的边界（以拉普拉斯变换的形式）和中断概率，其次，展示了如何使用泊松聚类过程来模拟这种网络中的干扰。进一步分析了不同排除区域设置下的双极网络模型。
Consider a cognitive radio network with two types of users: primary users (PUs) and cognitive users (CUs), whose locations follow two independent Poisson point processes. The cognitive users follow the policy that a cognitive transmitter is active only when it is outside the primary user exclusion regions. We found that under this setup the active cognitive users form a point process called the Poisson hole process. Due to the interaction between the primary users and the cognitive users through exclusion regions, an exact calculation of the interference and the outage probability seems unfeasible. Instead, two different approaches are taken to tackle this problem. First, bounds for the interference (in the form of Laplace transforms) and the outage probability are derived, and second, it is shown how to use a Poisson cluster process to model the interference in this kind of network. Furthermore, the bipolar network model with different exclusion region settings is analyzed.