PROJECT TITLE :
User Mobility Evaluation for 5G Small Cell Networks Based on Individual Mobility Model
With tiny cell networks changing into core components of the fifth generation (5G) cellular networks, it is an vital drawback to judge the impact of user mobility on 5G little cell networks. But, the tendency and clustering habits in human activities haven't been thought-about in traditional user mobility models. During this paper, human tendency and clustering behaviors are 1st thought of to judge the user mobility performance for 5G tiny cell networks based mostly on individual mobility model (IMM). As key contributions, user pause probability, user arrival, and departure possibilities are derived in this paper for evaluating the user mobility performance in a hotspot-sort 5G tiny cell network. Furthermore, coverage probabilities of tiny cell and macro cell BSs are derived for all users in 5G tiny cell networks, respectively. Compared with the ancient random waypoint (RWP) model, IMM provides a different viewpoint to investigate the impact of human tendency and clustering behaviors on the performance of 5G little cell networks.
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