Design of Power Wireless Private Network Coverage Prediction System

DOI

10.2991/icmeit-19.2019.56How to use a DOI?

Keywords

radio wave propagation model, coverage prediction, geographic information system.

Abstract

In this paper, according to the practical needs of the electric power wireless network coverage prediction, a propagation model based on real data and revised statistical prediction model (SPM) is proposed to predict the spatial field intensity distribution of the base station and improve the rationality and efficiency of the network planning and construction. The optimal parameters of SPM model parameters are obtained by least square method. On this basis, the coverage prediction with geographic information is proposed. The simulation results show that compared with SPM and LAP model, the proposed scheme can effectively analyze the signal loss intensity around the base station at any location in the map, so as to solve the signal planning problem of the base station.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qianke Ai
AU  - Wenjiang Feng
AU  - Weinong Wu
AU  - Yuxiang Liu
AU  - Guojin Liu
AU  - Taotao Bao
PY  - 2019/04
DA  - 2019/04
TI  - Design of Power Wireless Private Network Coverage Prediction System
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 335
EP  - 342
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.56
DO  - 10.2991/icmeit-19.2019.56
ID  - Ai2019/04
ER  -