首页> 外文会议>2012 IEEE International Symposium on Intelligent Signal Processing and Communications Systems. >Applying genetic algorithms to the data traffic scheduling and performance analysis of a long-term evolution system
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Applying genetic algorithms to the data traffic scheduling and performance analysis of a long-term evolution system

机译:将遗传算法应用于长期演进系统的数据流量调度和性能分析

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This study developed a superior transmission resource allocation method using genetic algorithms. The convergence properties of genetic algorithms were employed to increase the transmission resource use efficiency of a base station, allowing users to access wider bandwidths and improving the system throughput and packet service rates of a multicarrier operation. This study also determined the genetic algorithm convergence time and found that the convergence time required for actual calculation was significantly less than one radio frame duration. Finally, the resource allocation results were simulated with and without the genetic algorithm to compare the performance differences.
机译:这项研究开发了一种使用遗传算法的高级传输资源分配方法。遗传算法的收敛特性被用来提高基站的传输资源使用效率,从而允许用户访问更宽的带宽,并提高系统吞吐量和多载波操作的分组服务速率。这项研究还确定了遗传算法的收敛时间,并发现实际计算所需的收敛时间明显少于一个无线电帧的持续时间。最后,对有无遗传算法的资源分配结果进行了仿真,以比较性能差异。

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