Local connectivity of cognitive radio Ad hoc networks
Local connectivity of cognitive radio Ad hoc networks
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DOI：
10.1109/glocom.2014.7036952
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发表时间：
2014-12
期刊：
影响因子：
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通讯作者：
Daosen Zhai;Min Sheng;Xijun Wang;Yan Zhang
中科院分区：
文献类型：
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作者：
Daosen Zhai;Min Sheng;Xijun Wang;Yan Zhang
我们研究了认知无线自组织网络（CRAHNs）的局部连通性，即节点度和节点隔离概率。crahn的本地连通性不仅取决于其自身的网络参数，还取决于主网络。为了分析局部连通性，我们利用随机几何和概率论推导了次要用户（SUs）的节点度、可用频谱概率和节点隔离概率的分布。给出了crahn的局部连通性与主、次网络参数的关系。理论分析和仿真结果表明，随着主要用户（Primary Users, pu）密度的增加，单个用户的平均节点度呈线性增长，其斜率由主要用户（pu）密度决定。这也表明单个节点的隔离概率很大程度上取决于单个节点的密度。
We investigate the local connectivity of cognitive radio ad hoc networks (CRAHNs), i.e., node degree and probability of node isolation. The local connectivity of CRAHNs depends on not only its own network parameters but also the primary networks. To analyze the local connectivity, we use stochastic geometry and probability theory to derive the distribution of node degree, probability of available spectrum and probability of node isolation of the Secondary Users (SUs). The relation between the local connectivity of CRAHNs and the parameters of both primary and secondary networks is given. Theoretical analysis and simulation results indicate that the average node degree of SUs scales linearly for increases in the density of SUs with the slope determined by the density of Primary Users (PUs). It also indicates that the SUs' node isolation probability is largely determined by the density of PUs.