An activity based mobility prediction strategy for next generation wireless networks

The basic obligation of a wireless system is to provide scope for maximum mobility (terminal) while the system continues to provide the services at agreed levels of quality. The fundamental requirement for the system to support mobility is that it must be aware of the location where the mobile terminal (MT) resides at any point of time. The importance of mobility prediction techniques can be seen at both the network and service levels. This paper proposes a novel mobility prediction technique based on user activity pattern that could overcome some of the drawbacks associated with regular pattern based techniques available in the literature

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