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Fixed channel assignment in cellular radio networks using a modified genetic algorithm

机译:使用改进的遗传算法在蜂窝无线电网络中固定信道分配

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摘要

With the limited frequency spectrum and an increasing demand for cellular communication services, the problem of channel assignment becomes increasingly important. However, finding a conflict-free channel assignment with the minimum channel span is NP hard. Therefore, we formulate the problem by assuming a given channel span. Our objective is to obtain a conflict-free channel assignment among the cells, which satisfies both the electromagnetic compatibility (EMC) constraints and traffic demand requirements. We propose an approach based on a modified genetic algorithm (GA). The approach consists of a genetic-fix algorithm that generates and manipulates individuals with fixed size (i.e., in binary representation, the number of ones is fixed) and a minimum-separation encoding scheme that eliminates redundant zeros in the solution representation. Using these two strategies, the search space can be reduced substantially. Simulations on the first four benchmark problems showed that this algorithm could achieve at least 80%, if not 100%, convergence to solutions within reasonable time. In the fifth benchmark problem, our algorithm found better solutions with shorter channel span than any existing algorithms. Such significant results indicate that our approach is indeed a good method for solving the channel-assignment problem. © 1998 IEEE.
机译:随着有限的频谱和对蜂窝通信服务的需求的增加,信道分配问题变得越来越重要。但是,找到具有最小通道跨度的无冲突通道分配是NP难题。因此,我们通过假设给定的通道跨度来表达问题。我们的目标是在小区之间获得无冲突的信道分配,该分配既满足电磁兼容性(EMC)约束,又满足交通需求。我们提出了一种基于改进的遗传算法(GA)的方法。该方法包括一个遗传固定算法,该算法生成并处理具有固定大小的个体(即,在二进制表示中,个数是固定的)和最小分隔编码方案,该方案消除了解决方案表示中的冗余零。使用这两种策略,可以大大减少搜索空间。对前四个基准问题的仿真表明,该算法可以在合理的时间内至少达到80%(如果不是100%)收敛到解决方案。在第五个基准测试问题中,我们的算法找到了比现有算法更短信道跨度的更好解决方案。如此显着的结果表明,我们的方法确实是解决信道分配问题的好方法。 ©1998 IEEE。

著录项

  • 作者

    Li VOK; Ngo CY;

  • 作者单位
  • 年度 1998
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  • 原文格式 PDF
  • 正文语种 eng
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