非完全信息环境中一种基于隐马尔科夫的博弈式功率控制机制

doi:10.3969/j.issn.0372-2112.2016.12.027

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电子学报 ›› 2016, Vol. 44 ›› Issue (12) : 3004-3010. DOI: 10.3969/j.issn.0372-2112.2016.12.027

学术论文

非完全信息环境中一种基于隐马尔科夫的博弈式功率控制机制

朱江, 张玉平

作者信息 +

A Game-Theoretic Power Control Mechanism Based on Hidden Markov in Imperfect Information Environment

ZHU Jiang, ZHANG Yu-ping

Author information +

文章历史 +

摘要

针对非完全信息环境下认知无线网络中的分布式功率控制问题，根据不同非授权用户对信道检测结果的差异，以及信道检测结果的非独立性，提出了一种基于隐马尔科夫模型的功率博弈机制.非授权用户可利用该模型推测其它非授权用户是否参与博弈，从而提升了博弈的信息准确度，使得非授权用户能够选择更优的发射功率.仿真表明，该功率控制机制在保证通信质量的前提下能够获得更大的容量功率比，具有更好的功率效率.

Abstract

To solve the distributed power control issues in cognitive radio networks under imperfect information environment,according to the difference and independence of channel detecting results of different unlicensed users,a game-theoretic power control mechanism based on hidden Markov model (HMM) is proposed.By the HMM mode,unlicensed user can estimate whether competitors would take part in the game,which improves the information accuracy of game and allows the unlicensed users to choose an optimal transmission power.Simulation results indicate that the game-theoretic power control mechanism based on HMM can not only improve the power efficiency but also meet the target capacity compared with other cases.

导出引用

朱江, 张玉平. 非完全信息环境中一种基于隐马尔科夫的博弈式功率控制机制[J]. 电子学报, 2016, 44(12): 3004-3010. https://doi.org/10.3969/j.issn.0372-2112.2016.12.027

ZHU Jiang, ZHANG Yu-ping. A Game-Theoretic Power Control Mechanism Based on Hidden Markov in Imperfect Information Environment[J]. Acta Electronica Sinica, 2016, 44(12): 3004-3010. https://doi.org/10.3969/j.issn.0372-2112.2016.12.027

中图分类号： TN929.5

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