摘要
针对无线电通信中频谱资源浪费问题,文章提出全局优化随机自私KL-UCB(Globally optimized stochastic selfish Kullback-Leibler Upper Confidence Bound)算法。它的目标是在终端设备竞争频谱资源时,通过最优的频谱选择决策来提高频谱利用率和系统性能。文章根据随机自私KL-UCB特性,将该算法利用到频谱感知问题中,通过初始化,迭代,更新频谱空洞产生的情况,将频谱空洞产生的情况及累计遗憾数值作为评判标准,通过数据比较全局优化随机自私KL-UCB算法比随机自私KL-UCB算法优化率提升了45%,得出改进的随机自私KL-UCB具有更高效更整体在频谱感知中有着广泛的应用前景。
Aiming at the problem of spectrum resource waste in radio communication,the paper proposes the Globally optimised stochastic selfish KL-UCB(Globally optimized stochastic selfish Kullback-Leibler Upper Confidence Bound)algorithm.Its goal is to improve the spectrum utilisation and system performance through optimal spectrum selection decisions when terminal devices compete for spectrum resources.In the paper,according to the random selfish KL-UCB characteristics,the algorithm is utilised in the spectrum sensing problem,by initialising,iterating and updating the spectrum hole generation,the spectrum hole generation and the cumulative regret value are used as the judging criteria,and the global optimisation of the random selfish KL-UCB algorithm improves the optimisation rate of the global optimisation algorithm by 45%over the random selfish KL-UCB algorithm through the comparison of the data,and it is concluded that the improved random Selfish KL-UCB has a more efficient and holistic has a wide range of application prospects in spectrum sensing.
作者
阎炳嘉
马博涵
YAN Bingjia;MA Bohan(School of Electronic and Information Engineering,Liaoning Technical University,Huludao City,Liaoning 125105)
出处
《长江信息通信》
2024年第11期59-62,共4页
Changjiang Information & Communications
