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
复制标题
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
中科院分区:
文献类型:
--
作者:
Yuhua Xu;Chenggui Wang;Junhong Chen;Jinlong Wang;Yitao Xu;Qihui Wu;Alagan Anpalagan
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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