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出 处:《北京信息科技大学学报(自然科学版)》2016年第1期1-5,共5页Journal of Beijing Information Science and Technology University
基 金:国家自然科学基金资助项目(60872038)
摘 要:在基于Underlay方式的认知无线网络中,所有认知用户需要执行功率控制,避免超过主用户干扰容限。将认知用户功率控制构建为一种所有参与者拥有共同约束的非合作博弈模型,博弈存在无数个均衡点。基于统一定价机制的均衡点选择能选出唯一均衡点,但无法反映认知用户可能存在的优先级差异。提出一种基于非统一定价机制的均衡点选择算法,通过设计不同的权重来表征不同认知用户的优先级,给出了该算法能获得唯一均衡点的充分条件。仿真结果表明,提出的算法能根据用户优先级或公平性选择唯一均衡点,总容量也能得到提升。In underlay cognitive radio networks, secondary users (SU) need to control transmit power so that the interference received by primary users (PU) will not exceed certain threshold. The power control is constructed as a non-cooperative game where all players endure a common constraint. There are a number of game equilibrium points. The equilibrium point selection based on uniform pricing mechanism can choose the only equilibrium point, but can' t reflect the priority of cognitive users. Thus an equilibrium point selection algorithm based on non-uniform pricing mechanism is proposed, which can obtain the sufficient conditions of the unique equilibrium point by designing different weights to characterize different cognitive users. Simulation results show that the proposed algorithm can select only equilibrium point based on the user' s priority or fairness, and improve the total capacity.
分 类 号:TN929.5[电子电信—通信与信息系统]
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