一种基于非对称纳什协商的认知无线电频谱共享新算法
doi: 10.3724/SP.J.1146.2006.01276
A Novel Algorithm Based on Asymmetric-Nash-Bargain-Solution for Spectrum Sharing in Cognitive Radios
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摘要: 该文研究基于MIMO-OFDMA的认知无线电系统频谱共享的新机制。首先构造了一个基于非对称纳什协商方案的效能函数,其次通过多用户最优匹配及两两协商新算法并证明其收敛性,最终实现了基于感知贡献加权的比例公平性频谱共享。仿真结果表明提出的方案不仅实现了频谱资源的公平有效分配,而且有利于最大化频谱感知的结果。Abstract: A new scheme to share spectrum employing MIMO-OFDMA-based Cognitive Radio (CR) is proposed. First an Asymmetric-Nash-Bargain-Solution (ANBS)-based utility function is developed. And a new spectrum sharing algorithm based on sensing contribution weighted proportional fairness is implemented through multi-users optimal matching and two users bargaining. The experimental results show that the approach not only realizes efficient and fair allocation of the spectrum resources but also maximizes the potential of the spectrum sensing.
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