基于n阶马尔可夫链模型的频谱感知与信道利用率预测

Ryota Nakanishi, M. Ohta, M. Taromaru
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引用次数: 1

摘要

提出了一种基于认知无线电系统的频谱感知和信道利用状态预测相结合的方法。为了进行频谱感知,认知用户必须在感知期间使用接收到的信号来观察周围的无线环境,而认知用户不能传输任何数据。然而,该方法可以通过对未来状态的预测来增加认知用户的传输机会,而不是运行信道的频谱感知。在本文中,我们通过计算机仿真对所提出的方法进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spectrum sensing and channel utilization prediction by Nth-order markov chain model
We propose a combined method of a spectrum sensing and a channel utilization state prediction for a cognitive radio system. In order to run the spectrum sensing, the cognitive user has to observe the surrounding wireless environment by using a received signal during the sensing period that the cognitive user cannot transmit any data. However, the proposed method can increase the chance of transmission at the cognitive users with the prediction of the future states instead of running the spectrum sensing of the channel. In this paper, we evaluate the proposed method by using the computer simulation.
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