Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View
Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View
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DOI：
10.1109/tvt.2009.2028030
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发表时间：
2009-11-01
影响因子：
6.8
通讯作者：
Zeng, Yonghong
中科院分区：
文献类型：
--
作者：
Peh, Edward Chu Yeow;Liang, Ying-Chang;Zeng, Yonghong
在认知无线电网络中，频谱感知的性能取决于协作感知时使用的感知时间和融合方案。在本文中，我们考虑了次用户使用N中取k融合规则来协作感知信道以确定主用户存在的情况。建立了协作感知场景下的感知-吞吐量权衡问题，找到了在向主用户提供充分保护的前提下最大化次用户吞吐量的感知时间和k值对。提出了一种迭代算法来求取这两个参数的最优值。计算机仿真表明，当融合方案的参数和感知时间联合优化时，二次用户的吞吐量得到显著改善。
In cognitive radio networks, the performance of the spectrum sensing depends on the sensing time and the fusion scheme that are used when cooperative sensing is applied. In this paper, we consider the case where the secondary users cooperatively sense a channel using the k-out-of-N fusion rule to determine the presence of the primary user. A sensing-throughput tradeoff problem under a cooperative sensing scenario is formulated to find a pair of sensing time and k value that maximize the secondary users' throughput subject to sufficient protection that is provided to the primary user. An iterative algorithm is proposed to obtain the optimal values for these two parameters. Computer simulations show that significant improvement in the throughput of the secondary users is achieved when the parameters for the fusion scheme and the sensing time are jointly optimized.