[1]郭晓敏,朱 琦.面向多任务的频谱感知博弈算法[J].计算机技术与发展,2023,33(06):109-116.[doi:10. 3969 / j. issn. 1673-629X. 2023. 06. 017]
　GUO Xiao-min,ZHU Qi.Spectrum Sensing Game Algorithm for Multi-task[J].,2023,33(06):109-116.[doi:10. 3969 / j. issn. 1673-629X. 2023. 06. 017]
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面向多任务的频谱感知博弈算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
33
期数:
2023年06期
页码:
109-116
栏目:
移动与物联网络
出版日期:
2023-06-10

文章信息/Info

Title:
Spectrum Sensing Game Algorithm for Multi-task
文章编号:
1673-629X(2023)06-0109-08
作者:
郭晓敏; 朱 琦
南京邮电大学 江苏省无线通信重点实验室,江苏 南京 210003
Author(s):
GUO Xiao-min; ZHU Qi
Jiangsu Key Laboratory of Wireless Communication,Nanjing University of Posts and Telecommunication,Nanjing 210003,China
关键词:
认知无线电; 频谱感知; 群智感知; 斯坦克尔伯格博弈; 激励机制
Keywords:
cognitive radio; spectrum sensing; crowd sensing; Stackelberg game; incentive mechanism
分类号:
TP393
DOI:
10. 3969 / j. issn. 1673-629X. 2023. 06. 017
摘要:
随着智能终端设备的增多,频谱资源日益紧缺,认知无线电技术可以通过频谱共享大大提高频谱利用率,频谱感知是认知无线电技术的重要环节。 该文结合频谱感知与群智感知,提出了一种面向多任务的频谱感知博弈算法。 该算法将感知需求次用户向协作感知次用户支付报酬的问题建模为斯坦克尔伯格博弈模型,其中感知需求次用户是博弈模型中的领导层,协作感知次用户是博弈模型中的从属层。 在领导层博弈中,综合考虑检测概率和报酬定义了感知需求次用户的效用,通过博弈优化报酬以获得最佳效用;在从属层博弈中,综合考虑检测概率和感知时间定义了协作感知次用户的效用,根据感知需求次用户发布的报酬优化感知时间以获得最佳效用,并且推导证明了感知时间的优化存在纳什均衡。 仿真结果表明,该算法可以提高协作频谱感知的检测概率。
Abstract:
With the increase of intelligent terminal devices,spectrum resources are increasingly scarce. Cognitive radio technology cangreatly improve spectrum utilization through spectrum sharing. Spectrum sensing is an important part of cognitive radio technology. Aspectrum sensing game algorithm for multi - task is proposed,which combines crowd sensing and spectrum sensing. The problem thatsensing request secondary users pay cooperative sensing secondary users is modeled as a Stackelberg game model. In the game model,sensing request secondary users are the leader,and cooperative sensing secondary users are the follower. In the leader game,the utility ofsensing request secondary users is defined by comprehensively considering the reward and detection probability. The reward is optimizedthrough the game to obtain the optimal utility. In the follower game,the utility of cooperative sensing secondary users is defined by comprehensively considering the detection probability and the sensing time. The sensing time is optimized according to the reward released bysensing request secondary users to get the optimal utility,and it is deduced that the optimization of sensing time exists Nash equilibrium.The simulation shows that the proposed algorithm can improve the detection probability of cooperative spectrum sensing.

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更新日期/Last Update: 2023-06-10