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Optimal Primary Exclusive Region Design for Cognitive Radio VANETs on Multiple Roads

机译:多条道路上的认知无线电VANET的最佳主要专用区域设计

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This paper presents the stochastic geometry analysis and design of a primary exclusive region (PER) for cognitive radio vehicular ad hoc networks (CR-VANETs). Recently, to satisfy the increasing demands for vehicular communications, cognitive radio (CR) technology has been applied to broaden the vehicular communication spectrum. However, while utilizing the licensed spectrum opportunistically as secondary transmitters (STs), vehicles must avoid harmful interference with primary receivers (PRs), e.g., TV broadcasters. In contrast to cooperative spectrum sensing and stand-alone spectrum sensing in most existing works, in this paper, we proposed a geo-location-database-driven opportunistic spectrum access (OSA) approach to maximize the spectrum opportunity of SUs. For the proposed OSA approach, this paper presents a line segment model for CR-VANETs and introduces the allowable transmission probability of STs in each line segment. We theoretically analyze the outage probability of the primary user using stochastic geometry. From these analyses, we introduce the optimization problem to maximize the spectrum opportunity of STs while ensuring a minimal outage threshold for the PR. Subsequently, we numerically evaluate the solution of the optimization problem. Our results show that a PER for CR-VANETs has been successfully designed. With the decrease in the length of the line segment and further detailed information, a smaller and more complex-shaped PER can be achieved.
机译:本文介绍了认知无线电车辆自组织网络(CR-VANET)的主要专有区域(PER)的随机几何分析和设计。近来,为了满足对车辆通信的不断增长的需求,认知无线电(CR)技术已经被应用来拓宽车辆通信频谱。但是,在将许可频谱用作第二发射机(ST)时,车辆必须避免对诸如电视广播之类的第一接收机(PR)产生有害干扰。与大多数现有工作中的协作频谱感知和独立频谱感知相反,在本文中,我们提出了一种地理位置数据库驱动的机会频谱访问(OSA)方法,以最大化SU的频谱机会。对于提出的OSA方法,本文提出了一种CR-VANET的线段模型,并介绍了每个线段中ST的允许传输概率。我们从理论上使用随机几何分析主要用户的中断概率。从这些分析中,我们介绍了优化问题,以最大程度地提高ST的频谱机会,同时确保PR的最小中断阈值。随后,我们对优化问题的解决方案进行数值评估。我们的结果表明,CR-VANET的PER已成功设计。随着线段长度的减少和更多详细信息,可以实现更小,形状更复杂的PER。

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