认知无线电中频谱空洞统计特性分析与分配

doi:10.3969/j.issn.1001-2400.2017.02.019

Abstract

Abstract:

The bandwidth of spectrum holes is time-varied in cognitive radio networks with dynamic spectrum environment, which leads to the traditional static spectrum allocation poor performance. To solve this issue, this paper derives the probability density function of bandwidth of spectrum holes and presents a novel spectrum allocation algorithm based on the stochastic multiple knapsack problem. Simulation results illustrate that the proposed algorithm can achieve a better performance than the existing algorithms when the bandwidth of spectrum holes is time-varied.

Key words: cognitive radio, spectrum allocation, spectrum holes, statistical multiple knapsack problem

HUANG Jie;ZENG Xiaoping;JIAN Xin;TAN Xiaoheng;ZHANG Yaole. Statistical spectrum analysis and allocation in cognitive radio networks[J].Journal of Xidian University, 2017, 44(2): 107-113.

References

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Statistical spectrum analysis and allocation in cognitive radio networks

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