认知无线电频谱感知估计时延的随机规划优化算法

姜显扬; 夏凯莉; 唐向宏

doi:10.11999/JEIT170122

认知无线电频谱感知估计时延的随机规划优化算法

doi: 10.11999/JEIT170122

基金项目:

浙江省科技计划公益技术应用研究项目(2017C31055)，电子科学与技术浙江省一流学科A类资助

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- 被引次数: 0
出版历程
- 收稿日期: 2017-02-15
- 修回日期: 2017-08-17
- 刊出日期: 2017-11-19

Stochastic Approach Optimization Algorithm for Cognitive Radio Spectrum Sensing Estimation Delay Time

Funds:

Zhejiang Province Science and Technology Plan Public Welfare Technology Application Research Project (2017C31055), 2017 Open Research Foundation of Electronics Science and Technology for Top-ranking Discipline A Class in Zhejiang Province

摘要

摘要: 为了提高认知无线电网络的频谱利用率，该文提出对认知无线网络频谱感知估计时间进行优化。如果频谱感知时间较长，一方面对信道参数的估计更准确，会减小对授权用户的干扰并提高认知用户的吞吐量；另一方面，数据传输时间相应缩短，使系统吞吐量减小，这时存在一个最优的感知时间使得系统吞吐量最大。该文认为子频段的信道状态信息服从指数分布，故提出随机规划的方法，对认知无线网络频谱感知估计时间进行优化运算。计算机仿真结果表明，该算法是切实有效的，具有一定的工程应用价值。
- 认知无线网络 /
- 频谱感知 /
- 随机规划
Abstract: In order to improve the spectrum efficiency in the cognitive radio networks, the optimization algorithm of the spectrum sensing estimation time is presented. The longer sensing time will bring two aspects of the consequences. On the one hand, the channel parameters are estimated more accurate so as to reduce the interference to the authorized users and to improve the throughput of the cognitive users. On the other hand, it shortens the transmission time so as to decease the system throughput. In this time, it exists an optimal sensing time to maximize the throughput. It is considered that the channel state information of sub-bands is exponentially distributed, so a stochastic programming method is proposed to optimize the sensing time of the cognitive radio networks. The computer simulation results show that the algorithm is effective and has a certain engineering application value.
- Cognitive radio networks /
- Spectrum sensing /
- Stochastic approach

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参考文献(18)

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