Jul 12, 2015 · Abstract:Predicting the future location of users in wireless net- works has numerous applications, and can help service providers to improve ...
Abstract—Predicting the future location of users in wireless net- works has numerous applications, and can help service providers.
These predictors rely on clustering techniques and extract from the training data similarities among the mobility patterns of the various users to improve the ...
These predictors rely on clustering techniques and extract from the training data similarities among the mobility patterns of the various users to improve the ...
People also ask
What is the prediction for ARP?
What is the mobility prediction model?
In this paper, we proposed the idea of predicting the moving trajectory of a cluster based on the vehicle behavior prediction in intersection, whereby the ...
Missing: aided | Show results with:aided
Therefore, in this paper, a distributed clustering algorithm is proposed which takes into account the cluster size and cluster diameter constraints. The ...
In this paper, we develop cluster-aided predictors that exploit past trajectories collected from all users to predict the next location of a given user.
Oct 9, 2024 · Generally speaking, the experiments analyze the prediction performance through clustering the mobility records based on users and PoIs, which is ...
Jul 25, 2024 · The scheme is able to a-priori determine the next visited cells during host movements by applying a convolutional neural approach to mobility ...
The work in [7] introduced a cluster-aided mobility algorithm to predict UE location by exploiting similarities among users' mobility.