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Optimization of Spectrum Utilization Parameters in Cognitive Radio Using Genetic Algorithm

机译:遗传算法认知无线电频谱利用参数优化

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The dramatically development of wireless technologies in the last few decades, leads to the growth of channel resources demand in a limited spectrum with inextensible character. Cognitive radio network (CR) is a promising technology that provides solutions for the spectrum management and optimization problems via dynamic spectrum management. The spectrum resources management and optimization are an important part of the future network performances. In this paper, we propose an efficient algorithm to examine the design specification issues regarding the choice of optimal power, optimal speed, and optimal amount of information in a wireless network along with studying the effect of different parameters on the obtained results. Our objectives are to guarantee the protection on licensed users (Primary users ‘PU’) from harmful interference caused by the unlicensed users (Secondary users ‘SU’), more especially, to optimize the quality of communication link, Transmission levels, and battery life of the wireless devices. Results show that our proposed work leads to an efficient utilization of radio spectrum and strongly contributes to alleviating the spectrum scarcity problem.
机译:在过去的几十年中,无线技术的显着发展导致信道资源需求的增长在有限的范围内,具有不明显的性格。认知无线电网络(CR)是一项有前途的技术,可通过动态频谱管理提供频谱管理和优化问题的解决方案。频谱资源管理和优化是未来网络表演的重要组成部分。在本文中,我们提出了一种有效的算法来检查关于无线网络中最佳功率,最佳速度和最佳信息的选择的设计规范问题以及研究不同参数对所获得的结果的影响。我们的目标是保证对许可的用户(主要用户的PU')免受未经许可的用户(二级用户的SU')造成的有害干扰,更尤其是优化通信链路,传输电平和电池寿命的质量无线设备。结果表明,我们的拟议工作导致无线电频谱的有效利用率,强烈促进缓解频谱稀缺问题。

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