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基于博弈论的认知无线电动态频谱分配策略

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对于无线网络频谱分配过程中存在系统收益低和频谱利用率不理想等缺陷,引入干扰价格来控制认知用户发射功率引起的干扰,建立频谱租赁模型,并提出非合作博弈下的动态频谱分配策略,以提高频谱利用率,改善系统收益;创建非合作博弈下的效用函数,推导纳什均衡解,并在权衡网络效用后确定效用权重因子.仿真实验结果证实,所提算法最优发射功率小,频谱利用率高,可获得更优的系统收益.
Dynamic Spectrum Allocation Strategy for Cognitive Radio Based on Game Theory
For the defects of low system revenue and unsatisfactory spectrum utilization in the process of spectrum allocation in wireless network,the interference price is introduced to control the interference caused by cognitive users'transmission power,a spectrum leasing model is established,and a dynamic spectrum allocation strategy under non-cooperative game is proposed to im-prove spectrum utilization and system revenue.Creating the utility function under the non-cooperative game,deducing the Nash equilibrium solution,and determining the utility weight factor after weighing the network utility.Experimental results show that the optimal transmission power of the proposed algorithm is small,the spectrum utilization rate is high,and better system benefits can be obtained.

Cognitive radioGame theorySpectrum allocationNash equilibriumUtility function

滕志军、张爱玲、付雨珊

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现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学) 吉林吉林 132012

东北电力大学电气工程学院 吉林吉林 132012

认知无线电 博弈论 频谱分配 纳什均衡 效用函数

2024

计算机科学
重庆西南信息有限公司(原科技部西南信息中心)

计算机科学

CSTPCD北大核心
影响因子:0.944
ISSN:1002-137X
年,卷(期):2024.51(z1)
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