Optimization of primary exclusive region in spatial grid-based spectrum database using stochastic Geometry

S. Yamashita, Koji Yamamoto, T. Nishio, M. Morikura
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引用次数: 2

Abstract

In database-driven spectrum sharing for 5G mobile networks, a primary user (PU) may experience harmful interference caused by unpredictable propagation paths, even when secondary users (SUs) follow a spectrum sharing policy established on the basis of a database. A framework for determining the optimal radius of a circular primary exclusive region (PER) on the basis of SU's information has been proposed. However, a practical PER can be complex-shaped and should be designed on the basis of the directivity of the PU antenna, and the SU information in each region. In this paper, we present a stochastic geometry analysis in a spatial grid-based spectrum database, and propose a design for an optimal complex-shaped PER. The database determines the transmission probability of the SUs on each divided annular sector. By regarding the SU's locations on each annular sector as an inhomogeneous Poisson point process, we analytically derive a PU's outage probability (OP), where the PU's OP is defined as the probability that the aggregate interference power at a PU from the SUs exceeds a threshold. Using the derived expression, we formulate an optimization problem to maximize the number of transmitting SUs, which optimizes the SU's transmission probability on each annular sector. Then, we numerically evaluate the solution of the optimization problem in various scenarios. The results show that the accuracy of the PER improves as the grid size decreases. In addition, we successfully design a complex-shaped PER with holes in which the SUs are permitted to transmit.
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基于随机几何的空间网格谱数据库主专属区优化
在数据库驱动的5G移动网络频谱共享中,即使从用户遵循基于数据库的频谱共享策略,主用户也可能会受到不可预测的传播路径造成的有害干扰。提出了一种基于SU信息确定圆形主独占区域(PER)最优半径的框架。然而,实际的PER可以是复杂的形状,并且应该根据PU天线的方向性和每个区域的SU信息来设计。本文对基于空间网格的频谱数据库进行了随机几何分析,并提出了一种最优复杂形状PER的设计方法。数据库确定每个划分的环形扇区上单元的传输概率。通过将SU在每个环形扇区上的位置视为非均匀泊松点过程,我们分析得出PU的中断概率(OP),其中PU的OP被定义为来自SU的PU的总干扰功率超过阈值的概率。利用推导出的表达式,提出了以传输单元数量最大化为目标的优化问题,优化了每个环形扇区上传输单元的概率。然后,我们对各种情况下优化问题的解进行了数值评估。结果表明,随着网格尺寸的减小,PER的精度有所提高。此外,我们成功地设计了一个复杂形状的PER,其中有允许单元传输的孔。
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