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Modeling and Analysis of Cognitive Radio Based IEEE 802.22 Wireless Regional Area Networks

机译:基于认知无线电的IEEE 802.22无线局域网的建模与分析

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The recent emergence of the cognitive radio standard IEEE 802.22 is finally empowering network operators with a new platform for their abundant services. Likewise previous wireless standards, where the modeling helped in a better understanding of the concepts and played an important role in extending the outreach of the technology and subsequent innovations, the modeling of IEEE 802.22 wireless regional area networks (WRANs) is a necessity. In this work, we accomplish this task using the theory of queues. To that end, we model the dynamics of each cognitive user, termed customer premises equipments (CPE) according to the standard terminology, with a 2-D Markov chain. Given this model, we show that a WRAN cell can be modeled as a Jackson network. We also find the probability mass function (PMF) and cumulative distribution function (CDF) of the CPE queue length, from which any higher moment can be derived. Notable is the fact that said PMF is expressed in an exact closed-form. In addition to the nodal analysis, a WRAN cell-level discussion is conducted by finding the stability condition and peer-to-peer delay. Moreover, we provide preliminary results on the resource allocation in WRANs, which is a very important area of focus and discovery for an efficient deployment and operation of future WRANs.
机译:认知无线电标准IEEE 802.22的最新出现终于使网络运营商能够为其丰富的服务提供一个新的平台。与以前的无线标准类似,建模有助于更好地理解概念,并在扩展技术和后续创新的范围内发挥了重要作用,IEEE 802.22无线局域网(WRAN)的建模也是必不可少的。在这项工作中,我们使用队列理论完成了这项任务。为此,我们使用标准的二维马尔可夫链对每个认知用户的动态建模,根据标准术语将其称为“客户房屋设备”(CPE)。给定此模型,我们表明可以将WRAN信元建模为Jackson网络。我们还找到了CPE队列长度的概率质量函数(PMF)和累积分布函数(CDF),从中可以得出更高的矩。值得注意的是,所述PMF以精确的封闭形式表示。除了节点分析外,还通过找到稳定性条件和对等延迟来进行WRAN小区级别的讨论。此外,我们提供了有关WRAN中资源分配的初步结果,这是有效部署和运营未来WRAN的一个非常重要的重点领域。

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