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A DECENTRALIZED CR SYSTEM ALGORITHM FOR COGNITIVE BORROWING SCHEME FROM PRIMARY USERS

机译:来自主要用户的认知借用方案的分散CR系统算法

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摘要

With the wireless technology development, more and more standards are declared for certain purpose and many of them have to share the same radio frequency spectrum. On the other hand, because many requests from instable traffic use the peak rate and some behavior of bursted traffic, the utilization of the channel might be low in most of the time. Therefore, the radio frequency spectra are treasurable and issues about increasing or balancing spectrum utilization become more important. CR (Cognitive Radio) technique is now developing for solving this critical problem. CR technique includes many aspects of researches, such as reusing spectrum holes invisibly, learning form users' behavior, adjusting changes form the environment automatically, and so on. This paper gives out a cognitive borrowing algorithm which can ensure the QoS of primary users. By using this algorithm with environment scanning capability, CR traffics raise the utilization of the channel with only rare damage to prior users. Moreover, the algorithm has the advantages of decentralized system, flexibility, low computing complexity, and fairness.
机译:通过无线技术开发,为某些目的宣布越来越多的标准,其中许多标准必须共享相同的射频频谱。另一方面,由于来自稳定流量的许多请求使用峰值速率和一些突发流量的行为,因此在大多数情况下,频道的利用可能很低。因此,射频光谱是遗漏的,并且关于增加或平衡频谱利用的问题变得更加重要。 CR(认知无线电)技术现在正在开发解决这一关键问题。 CR技术包括研究的许多方面,例如重用频谱孔,学习形成用户的行为,调整改变自动形成环境,等等。本文提供了一种认知借用算法,可以保证主要用户的QoS。通过使用环境扫描能力的这种算法,CR流量会提高频道的利用,仅对先前的用户造成罕见的损坏。此外,该算法具有分散的系统,灵活性,低计算复杂性和公平性的优点。

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