A hotspot attraction driven user mobility model and direction deciding algorithm

Mobility Model for mobile users is an important part of simulation of the wireless mobile network´s resource management and optimization. The Manhattan Mobility Model proposed by ETSI is highly versatile. However, its random direction selecting strategy lacks of objectives, which means the scene of hotspot attracting user mobility could not be simulated accurately. In order to simulate the user mobility attracted by hotspots, a novel Hotspot Attraction Driven User Mobility Model (HADUMM) is proposed based on the Manhattan Mobility Model, and a Direction Deciding Algorithm (DDA) is designed. The HADUMM´s realistic significance is evaluated.