位置感知与传统切换决策算法在CDPD网络中的性能比较

W. Teerapabkajorndet, P. Krishnamurthy
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引用次数: 11

摘要

传统的基于随机和启发式模型的切换算法表现不佳,因为它们没有考虑到无线电环境的快速变化。自适应切换算法正在开发,以解决这个问题,并在计算复杂性方面进行相应的权衡。提出了一种位置感知切换决策算法。通过仿真比较了蜂窝数字分组数据网络(CDPD)中传统切换算法和所提出切换算法的性能。结果表明,位置感知算法的性能优于传统的切换算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparison of performance of location-aware and traditional handoff-decision algorithms in CDPD networks
Traditional handoff algorithms based on stochastic and heuristic models perform poorly as they do not account for the rapid changes in the radio environments. Adaptive handoff algorithms are being developed to solve this problem with a corresponding tradeoff in terms of computational complexity. This paper suggests a location-aware handoff decision algorithm. The performance of the traditional and proposed handoff algorithm in a cellular digital packet data network (CDPD) are compared using simulations. The results indicate that the location-aware algorithm performs better than the traditional handoff algorithm.
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