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Sequential packing algorithm for channel assignment under cochannel and adjacent-channel interference constraint

机译:共信道和邻信道干扰约束下的信道分配顺序打包算法

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摘要

Generally, the channel-assignment problem (CAP) for mobile cellular systems is solved by graph-coloring algorithms. These algorithms, though sometimes can yield an optimal solution, do not supply any information on whether an optimal solution has been found or bow far away it is from the optimum. In view of these undesirable features, two relevant results are presented. First, a lower bound for the minimum number of channels required to satisfy a given call-traffic demand is derived. This lower bound is tighter than the existing ones under certain conditions and can be used as a supplement for other approximate algorithms. Second, we propose an efficient heuristic algorithm to solve this problem. Although the CAP is nondeterministic polynomial (NP) complete in general, our algorithm provides an optimal solution for a special class of network topologies. For the general case, promising results are obtained, and numerical examples show that our algorithm has a better performance than many existing algorithms.
机译:通常,移动蜂窝系统的信道分配问题(CAP)通过图形着色算法解决。这些算法尽管有时可以产生最优解,但是却不提供有关是否找到了最优解或是否偏离最优解的任何信息。鉴于这些不良特征,提出了两个相关结果。首先,得出满足给定呼叫业务需求所需的最小信道数的下限。在某些条件下,该下限比现有的下限更严格,并且可以用作其他近似算法的补充。其次,我们提出了一种有效的启发式算法来解决该问题。尽管CAP通常是完全不确定的多项式(NP),但我们的算法为特殊类别的网络拓扑提供了最佳解决方案。对于一般情况,获得了可喜的结果,数值例子表明我们的算法比许多现有算法具有更好的性能。

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