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A Fuzzy-based Throughput Prediction For Wireless Communication Systems

机译:基于模糊的无线通信系统的吞吐量预测

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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,预计无线通信系统(WCS)及其各种服务将有效地运行,而在空间,时间或通信位置处于任何限制。然而,这不是实际可能的绝对可能的,仅仅因为目前发现称为频谱的WCSS环境空间是有限的,严重拥挤和完全活跃的。为了解决这个问题,已经提出了认知无线电(CR)系统作为创新的技术解决方案。本文提出了基于模糊逻辑(FL)的方法,设计和实现为CR的自适应预测算法。从仿真获得的结果表明,发现所提出的预测算法具有更快的计算复杂性,并在其整体吞吐量预测精度方面对WCSS提供质量改进。

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