NDLI: Hybrid-based optimization of wireless channel characterization for health services in medical complex environments

Content Provider	IEEE Xplore Digital Library
Author	Casino, F. Azpilicueta, L. Lopez-Iturri, P. Aguirre, E. Falcone, F. Solanas, A.
Copyright Year	2015
Description	Author affiliation: Electr. & Electron. Eng. Dept., Public Univ. of Navarra, Pamplona, Spain (Azpilicueta, L.; Lopez-Iturri, P.; Aguirre, E.; Falcone, F.) \|\| Dept. of Comput. Eng. & Math., Univ. Rovira i Virgili, Tarragona, Spain (Casino, F.; Solanas, A.)
Abstract	Nowadays, plenty of simulation techniques based on deterministic methods like Ray Tracing and Ray Launching, combining Geometric Optics and Uniform Theory of Diffraction, are used to predict waves' behaviour within a defined environment and to make better decisions on the deployment of antennas for particular purposes. However, simulations' quality largely depends on the number of rays, providing sufficient angular resolution in the ray launching process. The computational cost of simulations in high definition (HD) prevents their use in complex environments and their low definition (LD) counterparts are used. In this article we propose a technique based on collaborative filtering (CF) to lessen the low quality problems of LD simulations. Such technique outperforms previous works in this field in terms of accuracy, precision and computational cost. Moreover, we show that our approach obtains results very similar to those of HD in much less time. Therefore, using combined deterministic-CF techniques allows the estimation of radio-planning tasks in large, complex medical scenarios with a potentially large amount of transceivers.
Starting Page	1
Ending Page	6
File Size	417296
Page Count	6
File Format	PDF
e-ISBN	9781467393119
DOI	10.1109/IISA.2015.7387993
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	Greece
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collaborative Filtering Databases Smart cities Computational modeling Collaboration Wireless Channel Characterization Predictive models Ray Launching Computational efficiency High definition video Smart Health
Content Type	Text
Resource Type	Article

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