Stochastic Geometry Analysis Of Spatial Grid-Based Spectrum Database

2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING)(2017)

引用 2|浏览8
暂无评分
摘要
In database-driven spectrum sharing for 5G mobile networks, a primary user (PU) can experience harmful interference due to unexpected propagation paths, even when the secondary user (SU) follows the spectrum sharing policy stored in a database, during operations. A framework for deriving the optimal radius of a circular primary exclusive region (PER) has been proposed. However, a practical PER can be non-circular and should be designed on the basis of the geographical information and directivity of the PU antenna. To design a non-circular PER, in this paper, we introduce a spatial grid-based spectrum database; the database permits or forbids SU transmissions for each annular sector divided by a spatial grid. Considering the random locations of the SUs on each annular sector as an inhomogeneous Poisson point process, we analytically derive the PU's outage probability (OP) using stochastic geometry, where the PU's OP is defined as the probability that the aggregate interference power at a PU, from the SUs, exceeds a threshold. Numerical results show that a non-circular PER results in a lower PU OP compared to a circular PER.
更多
查看译文
关键词
5G mobile networks,primary user,harmful interference,unexpected propagation paths,secondary user,spectrum sharing policy,optimal radius,circular primary exclusive region,geographical information,directivity,PU antenna,SU transmissions,annular sector,non circular PER results,lower PU OP,stochastic geometry analysis,PU outage probability,spatial grid-based spectrum database,database-driven spectrum sharing,PU OP,inhomogeneous Poisson point process,aggregate interference power
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要