摘要
为解决静态频谱分配策略导致资源浪费问题,采用认知无线电技术动态管理频谱,其中频谱共享是关键。为了使认知用户能够公平共享频谱,提出了一种认知无线电网络中的基于演化博弈的频谱共享机制。由于认知无线电网络具有动态、异构的特点,且无线信道不可靠、易受环境影响,因此采用模糊数学知识刻画与认知用户满意度相关的参数,利用气体布朗运动优化算法解决认知用户的频谱接入问题,利用演化博弈对认知用户之间的频谱共享建模。效用函数充分考虑频谱共享公平,按照模仿者动态模型求解动态均衡。仿真结果表明,该机制中认知用户能够获得更高效用。
In order to solve the waste of resources caused by the static spectrum allocation policy, cognitive radio technology can be used to dynamically and efficiently manage spectrum, and spectrum sharing becomes the key issue. To make secondary users to share spectrum fairly, an evolutionary game-based spectrum sharing scheme in cognitive radio network was proposed. Because cognitive radio network was dynamic and heterogeneous, the wireless channel was unreliable and affected by environment easily, the knowledge of fuzzy mathematics was introduced to characterize the parameters related to the secondary user satisfaction degree, and the Gas Brownian Motion Optimization algorithm was used to solve the problem of spectrum access of secondary users. The fairness of spectrum sharing was considered in utility function, and the dynamic equilibrium was solved according to replicator dynamic model Simulation results show that secondary users can get high utilities under the proposed scheme.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2016年第3期756-763,共8页
Journal of System Simulation
基金
国家自然科学基金(61572123)
国家杰出青年科学基金(61225012
71325002)
高等学校博士学科点专项科研基金优先发展领域资助课题(201200421 30003)
辽宁省百千万人才工程项目(2013921068)
教育部-中国移动科研基金(MCM20130391)
关键词
认知无线电网络
演化博弈
频谱共享
气体布朗运动优化算法
模仿者动态模型
cognitive radio network
evolutionary game
spectrum sharing
Gas Brownian Motion Optimization algorithm
replicator dynamic model
