Benefits of Context Aware Mobility Management Sample Clauses

Benefits of Context Aware Mobility Management and Traffic Engineering Context aware networking, since it considers apart from typical radio measurements such as RSS/RSRP, RSRQ, etc, a big number of inputs, may significantly optimize the decision making process. By considering inputs such as the time, the mobility direction, the destination and the starting point, the network may predict with high certainty the user mobility pattern, as shown in the previous subsection. This enables further the network to make proactive decisions for e.g., reserving resources on the next cell based on the prediction where the user will be in the future. The use of data mining enables further, on the one hand the extraction of the user preferences and on the other the accurate prediction of the user behavior, since this based on his previous decisions. The nature of the data mining mechanisms, requiring a rather large dataset to be used as training set, implies that the data have to be collected and processed offline, which further reduces the signaling and computational overhead. This way the network may extract the user preferences automatically which will be reflected in the users’ behaviors. By combining the overall user preferences captured in multi-dimensional profiles with online information (e.g., time, date, location, UE battery level, charging status, etc.) the network may make very accurate predictions of the user preferences, since they will be linked to the previous user actions. This behavioral profiling enables optimal user placement in the cells/layers and overally optimal traffic engineering.
Sample 1
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Related to Benefits of Context Aware Mobility Management

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