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Spectrum Sharing in Cognitive Radio Work Using Goodput Mathematical Model for Perfect Sensing, Zero Interference and Imperfect Sensing, Non Zero Interference

机译:使用Goodput数学模型进行认知无线电工作中的频谱共享,以实现完美感知,零干扰和不完美感知,非零干扰

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In recent years, there has been increase in the demand for spectrum allocation as wireless communication witness rapid growth on a daily basis. Literatures have established that this spectrum is scarce and more than 70% of the available spectrum is not utilized optimally. This paper proposes a model called Goodput model by which the under-utilized spectrum can be shared effectively between primary users and the secondary users without causing harmful interference between the users and also find solution to the problem of increasing demand for spectrum allocation on an already scarce spectrum. Goodput is a mathematical modeling in which the total amount of primary and secondary data that is successfully delivered per unit time can be used as performance index. Compared to other models, the Goodput model with zero interference, perfect sensing and imperfect Sensing, non-zero interference is used to determine the secondary users that will be able to use unoccupied portion of radio frequency channel of primary users with different values of data probability of arrival. Result shows that, the point of intersection between np and N(1-p) is the optimum point of interference, where n,N, are number of secondary users, number of primary users, and Probability of data arrival rate respectively. Below the optimum point of interference (left side of the point), all the secondary users will transmit opportunistically without interference. However, above the optimum point of interference (right side of the point), there will be interference between any secondary users that attempt to transmit.
机译:近年来,由于无线通信每天都在快速增长,因此对频谱分配的需求不断增加。文献已经确定该频谱是稀缺的,并且超过70%的可用频谱没有得到最佳利用。本文提出了一种称为Goodput模型的模型,通过该模型,可以在主要用户和次要用户之间有效利用未充分利用的频谱,而不会造成用户之间的有害干扰,并且可以找到解决方案,以解决已经稀缺的频谱分配需求增加的问题光谱。 Goodput是一种数学模型,其中可以将每单位时间成功交付的主要和辅助数据的总量用作性能指标。与其他模型相比,具有零干扰,完美感测和不完美感测,非零干扰的Goodput模型用于确定次要用户,这些次要用户将能够使用具有不同数据概率值的主要用户的无线电信道的空闲部分的到来。结果表明,np与N(1-p)的交点是最优干扰点,其中n,N分别是次要用户数,主要用户数和数据到达率的概率。在最佳干扰点以下(该点的左侧),所有次要用户将在没有干扰的情况下进行机会传输。但是,在最佳干扰点(该点的右侧)之上,任何尝试进行传输的辅助用户之间都会存在干扰。

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