Project Publications
LOCARD related articles have been published in high-rated journals and presented in top conferences. The following list depicts all articles published and presented from the beginning of the project.

Enhanced Wireless Channel Estimation through Parametric Optimization of Hybrid Ray Launching-Collaborative Filtering Technique


In this paper, an enhancement of a hybrid simulation technique based on combining collaborative filtering with deterministic 3D ray launching algorithm is proposed. Our approach implements a new methodology of data depuration from low definition simulations to reduce noisy simulation cells. This is achieved by processing the maximum number of permitted reflections, applying memory based collaborative filtering, using a nearest neighbors’ approach. The depuration of the low definition ray launching simulation results consists on discarding the estimated values of the cells reached by a number of rays lower than a set value. Discarded cell values are considered noise due to the high error that they provide comparing them to high definition ray launching simulation results. Thus, applying the collaborative filtering technique both to empty and noisy cells, the overall accuracy of the proposed methodology is improved. Specifically, the size of the data collected from the scenarios was reduced by more than 40% after identifying and extracting noisy/erroneous values. In addition, despite the reduced amount of training samples, the new methodology provides an accuracy gain above 8% when applied to the real-world scenario under test, compared with the original approach. Therefore, the proposed methodology provides more precise results from a low definition dataset, increasing accuracy while exhibiting lower complexity in terms of computation and data storage. The enhanced hybrid method enables the analysis of larger complex scenarios with high transceiver density, providing coverage/capacity estimations in the design of heterogeneous IoT network applications.

Authors: Fran Casino; Peio Lopez-Iturri; Erik Aguirre; Leyre Azpilicueta; Francisco Falcone; Agusti Solanas.

JournalIEEE Access.

Date of Publication: 4 May, 2020.

Publisher: Institute of Electrical and Electronics Engineers (IEEE).

Slide 1
Join the community
Follow us and stay connected and updated.
EU flag Copyright © 2019 - 2022 LOCARD. All rights reserved. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement nº 832735. This project reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.