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User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility Model

机译:基于个体的5G小蜂窝网络用户移动性评估   流动模型

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摘要

With small cell networks becoming core parts of the fifth generation (5G)cellular networks, it is an important problem to evaluate the impact of usermobility on 5G small cell networks. However, the tendency and clustering habitsin human activities have not been considered in traditional user mobilitymodels. In this paper, human tendency and clustering behaviors are firstconsidered to evaluate the user mobility performance for 5G small cell networksbased on individual mobility model (IMM). As key contributions, user pauseprobability, user arrival and departure probabilities are derived in this paperfor evaluat-ing the user mobility performance in a hotspot-type 5G small cellnetwork. Furthermore, coverage probabilities of small cell and macro cell BSsare derived for all users in 5G small cell networks, respectively. Comparedwith the traditional random waypoint (RWP) model, IMM provides a differentviewpoint to investigate the impact of human tendency and clustering behaviorson the performance of 5G small cell networks.
机译:随着小型蜂窝网络成为第五代(5G)蜂窝网络的核心部分,评估用户移动性对5G小型蜂窝网络的影响是一个重要的问题。但是,在传统的用户移动性模型中并未考虑人类活动中的趋势和聚类习惯。本文首先考虑了人类趋势和集群行为,以基于个人移动性模型(IMM)评估5G小型蜂窝网络的用户移动性性能。作为重要贡献,本文推导了用户暂停概率,用户到达和离开概率,以评估热点型5G小蜂窝网络中的用户移动性能。此外,分别为5G小型蜂窝网络中的所有用户推导了小型蜂窝基站和宏蜂窝基站的覆盖概率。与传统的随机航点(RWP)模型相比,IMM提供了一个不同的观点来研究人类倾向和集群行为对5G小蜂窝网络性能的影响。

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