Motion Prediction in Mobile Communication Systems from a Historical and Geographical Perspective
نویسندگان
چکیده
Motion prediction serves to improve quality of service for mobile hosts in mobile communication systems. Much work has been done to make motion prediction using statistical method or shadow clusters. In this study we try to attack this problem through the statistical method and ANFIS (adaptive neural-fuzzy inference system) method. In the simulation process, we generated mobile host motion pattern data with specified geographic information, which is much closer to the real case compared with probabilistic models. Based on the generated data, simulations of both statistical and ANFIS model have been implemented and comparison of the two methods shows their advantages and disadvantages.
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