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。
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.
出处
《电子与信息学报》
EI
CSCD
北大核心
2017年第11期2548-2555,共8页
Journal of Electronics & Information Technology
基金
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~~
关键词
认知无线网络
频谱感知
随机规划
Cognitive radio networks
Spectrum sensing
Stochastic approach
