Predicting a user's next cell with supervised learning based on channel states

  title={Predicting a user's next cell with supervised learning based on channel states},
  author={Xu Chen and François M{\'e}riaux and Stefan Valentin},
  journal={2013 IEEE 14th Workshop on Signal Processing Advances in Wireless Communications (SPAWC)},
Knowing a user's next cell allows more efficient resource allocation and enables new location-aware services. To anticipate the cell a user will hand-over to, we introduce a new machine learning based prediction system. Therein, we formulate the prediction as a classification problem based on information that is readily available in cellular networks. Using only Channel State Information (CSI) and handover history, we perform classification by embedding Support Vector Machines (SVMs) into an… CONTINUE READING

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