Load-Aware Dynamic Spectrum Access for Small-Cell Networks: A Graphical Game Approach

Load-Aware Dynamic Spectrum Access for Small-Cell Networks: A Graphical Game Approach
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小蜂窝网络的负载感知动态频谱访问:图形游戏方法

DOI:
10.1109/tvt.2015.2508998
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发表时间:
2015-02
影响因子:
6.8
通讯作者:
Alagan Anpalagan
Alagan Anpalagan
中科院分区:
计算机科学2区
文献类型:
--
作者:
Yuhua Xu;Chenggui Wang;Junhong Chen;Jinlong Wang;Yitao Xu;Qihui Wu;Alagan Anpalagan

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在本文中,我们使用图形游戏方法研究小蜂窝网络的动态频谱访问问题。与现有研究相比,我们考虑了不同小区负载的特征和局部干扰关系。证明了所制定的频谱接入博弈是以总干扰水平为势函数的精确势博弈(EPG),博弈的纳什均衡(NE)对应于原优化问题的全局或局部最优。可达到的总干扰水平的下限是经过严格推导得出的。最后,我们提出了一种自主最佳响应(BR)学习算法来收敛到其 NE。结果表明,所提出的博弈论解决方案收敛迅速,其可实现的性能接近最优解决方案。
In this paper, we investigate the problem of dynamic spectrum access for small-cell networks using a graphical game approach. Compared with existing studies, we take the features of different cell loads and local interference relationship into account. It is proven that the formulated spectrum access game is an exact potential game (EPG) with the aggregate interference level as the potential function, and the Nash equilibrium (NE) of the game corresponds to the global or local optima of the original optimization problem. A lower bound of the achievable aggregate interference level is rigorously derived. Finally, we propose an autonomous best response (BR) learning algorithm to converge toward its NE. It is shown that the proposed game-theoretic solution converges rapidly, and its achievable performance is close to the optimum solution.
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