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Recently, people have been able to connect with different types of networks anytime, anywhere using advanced network technologies. In order to properly distribute wireless network resources among different clients, this work proposed a user mobility prediction algorithm, which takes the coverage of different kinds of base stations, and the volatile mobility of pedestrians, vehicles, and mass transportation,...
With advanced network technologies in recent years, people may connect with different types of networks anytime, anywhere. Since wireless network resource distribution is an important issue, we propose a user mobility prediction algorithm, which considers the coverage of different types of base stations and varied mobility of pedestrians, vehicles, and mass transportation. In addition, a novel bandwidth...
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