arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1704.03065cs.NI
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Mo3:一种面向下一代移动无线网络的模块化移动模型

Mo3: a Modular Mobility Model for future generation mobile wireless networks

Luca De Nardis, Maria-Gabriella Di Benedetto

摘要:

5G和5G以后的移动性建模必须解决典型特征,例如不同节点的移动性模式之间的时变相关性,以及它们从宏观移动性(公里范围)到微观移动性(亚米范围)的变化。目前的模型在这方面有很大的局限性:广泛使用的基于参考的模型,如参考点组移动性(RPGM),缺乏灵活性和准确性,而更复杂的基于规则(即行为)的模型是复杂的设置和调整。本文介绍了一种新的基于规则的模块化移动模型,命名为Mo 3,提供了与行为模型相当的准确性和灵活性,同时保留了基于参考的方法的直观性,并基于五个规则:1)个人移动,2)相关移动,3)碰撞避免,4)障碍避免和5)上限执行。Mo 3避免了像行为模型那样引入加速向量来定义规则,这大大降低了复杂性。规则一对一映射到五个模块,可以独立启用或替换。在纯微观流动性和混合宏观流动性/微观流动性场景中,用Mo 3与基于参考的模型,特别是RPGM获得的时间相关特征的比较表明,Mo 3和RPGM生成具有相似拓扑性质的流动性模式(组内和组间距离),但是Mo 3保留了RPGM中丢失的空间相关性-在复杂性方面没有代价-使其适合在5G和5G之后采用。

英文摘要:

Mobility modeling in 5G and beyond 5G must address typical features such as time-varying correlation between mobility patterns of different nodes, and their variation ranging from macro-mobility (kilometer range) to micro-mobility (sub-meter range). Current models have strong limitations in doing so: the widely used reference-based models, such as the Reference Point Group Mobility (RPGM), lack flexibility and accuracy, while the more sophisticated rule-based (i.e. behavioral) models are complex to set-up and tune. This paper introduces a new rule-based Modular Mobility Model, named Mo3, that provides accuracy and flexibility on par with behavioral models, while preserving the intuitiveness of the reference-based approach, and is based on five rules: 1) Individual Mobility, 2) Correlated Mobility, 3) Collision Avoidance, 4) Obstacle Avoidance and 5) Upper Bounds Enforcement. Mo3 avoids introducing acceleration vectors to define rules, as behavioral models do, and this significantly reduces complexity. Rules are mapped one-to-one onto five modules, that can be independently enabled or replaced. Comparison of time-correlation features obtained with Mo3 vs. reference-based models, and in particular RPGM, in pure micro-mobility and mixed macro-mobility / micro-mobility scenarios, shows that Mo3 and RPGM generate mobility patterns with similar topological properties (intra-group and inter-group distances), but that Mo3 preserves a spatial correlation that is lost in RPGM - at no price in terms of complexity - making it suitable for adoption in 5G and beyond 5G.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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