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Optimization of QoS Parameters in Cognitive Radio Using Combination of Two Crossover Methods in Genetic Algorithm

机译:遗传算法中两种交叉方法相结合的认知无线电QoS参数优化

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Radio Cognitive (RC) is the new concept introduced to improve spectrum utilization in wireless communication and present important research field to resolve the spectrum scarcity problem. The powerful ability of CR to change and adapt its transmit parameters according to environmental sensed parameters, makes CR as the leading technology to manage spectrum allocation and respond to QoS provisioning. In this paper, we assume that the radio environment has been sensed and that the SU specifies QoS requirements of the wireless application. We use genetic algorithm (GA) and propose crossover method called Combined Single-Heuristic Crossover. The weighted sum multi-objective approach is used to combine performance objectives functions discussed in this paper and BER approximate formula is considered.
机译:无线电认知(RC)是为了提高无线通信中的频谱利用率而引入的新概念,是解决频谱稀缺问题的重要研究领域。 CR具有根据环境感知的参数更改和调整其传输参数的强大功能,使CR成为管理频谱分配和响应QoS设置的领先技术。在本文中,我们假设已经感知到无线电环境,并且SU指定了无线应用的QoS要求。我们使用遗传算法(GA)并提出了一种称为组合单历史交叉的交叉方法。加权和多目标方法被用来结合本文讨论的性能目标函数,并考虑了BER近似公式。

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