认知无线电中基于博弈论的多目标协作算法

2009 International Conference on Wireless Communications & Signal Processing Pub Date : 2009-12-31 DOI:10.1109/WCSP.2009.5371656

Ye Zhihui, Shen Ke-qin

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引用次数: 2

摘要

设计了一种基于非协作博弈和纳什均衡的多目标函数协作算法，将最大带宽盈利能力与最大比例公平相结合。将该算法应用于认知无线电环境中，能够在公平性和带宽收益之间取得平衡，实现有效的频谱分配。

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Multi-objective cooperative algorithms based on game theory in cognitive radio

A Multi-objective function cooperative algorithm based on non-collaboration game and Nash equilibrium is designed, which combines Maximum Bandwidth Profitability with Maximum Proportional Fairness. As applied in cognitive radio environment, the proposed algorithm can win trade-off between fairness and bandwidth profit, and realize effective spectrum distribution.

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来源期刊

2009 International Conference on Wireless Communications & Signal Processing

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