Báo cáo hóa học: " Research Article Implementation and Validation of a New Combined Model for Outdoor to Indoor Radio Coverage Predictions"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Implementation and Validation of a New Combined Model for Outdoor to Indoor Radio Coverage Predictions | Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Volume 2010 Article ID215352 9 pages doi 2010 215352 Research Article Implementation and Validation of a New Combined Model for Outdoor to Indoor Radio Coverage Predictions Guillaume de la Roche 1 Paul Flipo 2 Zhihua Lai 3 Guillaume Villemaud 2 Jie Zhang 1 and Jean-Marie Gorce2 1 CWiND University of Bedfordshire Park Square Campus Luton LU1 3JU UK 2 CITI Laboratory INSA University of Lyon 69621 Villeurbanne France 3Ranplan Wireless Network Design Ltd 1 Kensworth Gate Luton LU6 3HS UK Correspondence should be addressed to Guillaume de la Roche Received 2 July 2010 Accepted 13 August 2010 Academic Editor Nicolai Czink Copyright 2010 Guillaume de la Roche et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. A new model used to compute the outdoor to indoor signal strength emitted from an outdoor base station is presented. This model is based on the combination of 2 existing models IRLA Intelligent Ray Launching a 3D Ray Optical model especially optimized for outdoor predictions and MR-FDPF Multiresolution Frequency Domain ParFlow a 2D Finite Difference model initially implemented for indoor propagation. The combination of these models implies the conversion of the ray launching paths on the border of the buildings into virtual source flows that will be used as input for the indoor model. The performance of the new combined model is evaluated via measurements at 2 frequencies WiMAX and WiFi . This solution appears to be efficient for radio network planning in term of both accuracy and computational cost. 1. Introduction Indoor networks planning is increasingly important that is why tools have been developed to help operators to optimize their networks. For example such tools are .

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