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Channel allocation in a cognitive radio network using non deterministic Q learning algorithm

机译:使用非确定性Q学习算法在认知无线网络中的信道分配

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Cognitive radio technology has been emerged to provide the solution of improvement of spectrum utilization. In this paper we try to solve the problem of allocation of channels to the secondary users using non deterministic Q learning technique. Using Q learning technique, we try to provide prior knowledge to the secondary users about the channel usage pattern of licensed users so that a secondary user can efficiently select channels in a multi cell cognitive radio network. Firstly, a channel assignment algorithm based on non deterministic Q learning technique has been proposed in this paper. Using ageing technique, starvation of low priority users is removed from the algorithm. Simulation result shows that the proposed channel assignment algorithm is effective.
机译:已经出现了认知无线电技术,提供了改进谱利用率的解决方案。在本文中,我们尝试使用非确定性Q学习技术解决对辅助用户的频道分配问题。使用Q学习技术,我们尝试向辅助用户提供关于许可用户的信道使用模式的先验知识,使得辅助用户可以有效地选择多小区认知无线电网络中的信道。首先,本文提出了一种基于非确定性Q学习技术的信道分配算法。使用老化技术,从算法中删除低优先级用户的饥饿。仿真结果表明,所提出的信道分配算法是有效的。

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