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A fast algorithm for calculating CBP in large-scale sharing resource networks

机译:大规模共享资源网络中CBP的快速算法

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The call blocking probability (CBP) is one of the major parameters imposed to describe the quality of service (QOS) in network, and it is widely used to every kinds of network for all customers. With the increasing of network scale, conventional Kaufman recursion method and convolution method are unavailable for data overflow problem in large-scale network. In order to accommodate to large-scale network, revised Kaufman method and revised convolution method introduce a scheme to avoid data overflow, but they have tedious computation time for high computation complexity. A fast algorithm for calculating CBP is proposed in this paper. In large-scale network, the fast algorithm avoids data overflow by introducing a pre-process scheme, and decreases computation complexity by FFT method. Numerical results show that the fast algorithm has reliable accuracy and high speed.
机译:呼叫阻止概率(CBP)是描述网络中服务质量(QoS)的主要参数之一,它广泛用于所有客户的各种网络。随着网络规模的增加,传统的Kaufman递归方法和卷积方法对于大型网络中的数据溢出问题不可用。为了适应大规模网络,修订的Kaufman方法和修订的卷积方法介绍了一种方案,以避免数据溢出,但它们具有繁琐的计算时间,用于高计算复杂度。本文提出了一种用于计算CBP的快速算法。在大规模网络中,快速算法通过引入预处理方案来避免数据溢出,并通过FFT方法降低计算复杂性。数值结果表明,快速算法具有可靠的精度和高速。

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