使用模式识别的切换算法

D. Wong, D. Cox
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引用次数: 11

摘要

传统的切换算法通常不能同时保证不必要切换的平均次数和较低的切换决策延迟。在做出切换决策时,它们不利用基站周围任何给定位置的路径损耗和阴影衰落效应的相对稳定性。事实上,这些信息可以用来提高切换决策算法的效率,正如我们在使用模式识别的新切换算法中所做的那样。因此,可以实现具有可忽略不计的不必要切换数量和可忽略不计的决策延迟的切换决策算法。我们将新算法与传统算法在经典切换场景下的性能进行了比较,这在文献中已经得到了广泛的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A handoff algorithm using pattern recognition
Traditional handoff algorithms generally cannot keep both the average number of unnecessary handoffs and the handoff decision delay low. In making handoff decisions, they do not exploit the relative constancy of path loss and shadow fading effects at any given location around a base station. This information can in fact be used to improve the efficiency of handoff decision algorithms, as we do in our new handoff algorithms using pattern recognition. Handoff decision algorithms with both a negligible number of unnecessary handoffs and a negligible decision delay can therefore be realized. We compare the performance of our new algorithm with the traditional algorithms in the canonical handoff scenario, which has been extensively studied in the literature.
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