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A Fuzzy-based Throughput Prediction For Wireless Communication Systems

机译:无线通信系统中基于模糊的吞吐量预测

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Ideally, Wireless Communication System (WCS) and its various services are expected to operate effectively without any restrictions be it in space, time or communication locations. However, this is not absolutely possible in real-time, simply because the WCSs environmental space called Spectrum is currently found to be limited, heavily congested and continuously dynamic in nature. To address this problem, Cognitive Radio (CR) system has been proposed as the innovative technology solution. In this paper, Fuzzy Logic (FL) based approach has been proposed, designed and implemented as an adaptive prediction algorithm for the CR. The results obtained from the simulation shows that the proposed prediction algorithm was found to be faster with reduced computational complexity and offer quality improvement to the WCSs in terms of its overall throughput prediction accuracy.
机译:理想情况下,无线通信系统(WCS)及其各种服务可以有效运行,而不受空间,时间或通信位置的限制。但是,这并不是绝对实时的,这仅仅是因为目前发现WCS的环境空间Spectrum被认为是有限的,严重拥挤的并且是不断变化的。为了解决这个问题,已经提出了认知无线电(CR)系统作为创新技术解决方案。本文提出,设计和实现了基于模糊逻辑(FL)的方法作为CR的自适应预测算法。从仿真中获得的结果表明,所提出的预测算法被发现速度更快,计算复杂度降低了,并且就其整体吞吐量预测准确性而言,为WCS提供了质量改进。

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