Predicting a Users Next Cell With Supervised Learning Based on Channel StatesReport as inadecuate




Predicting a Users Next Cell With Supervised Learning Based on Channel States - Download this document for free, or read online. Document in PDF available to download.

1 EE - Department of Electrical Engineering Princeton 2 L2S - Laboratoire des signaux et systèmes 3 Bell Labs

Abstract : 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 efficient pre-processing structure. Simulation results from a Manhattan Grid scenario and from a realistic radio map of downtown Frankfurt show that our system provides timely prediction at high accuracy.





Author: Xu Chen - François Mériaux - Stefan Valentin -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents