Design of Power Wireless Private Network Coverage Prediction System
Qianke Ai, Wenjiang Feng, Weinong Wu, Yuxiang Liu, Guojin Liu, Taotao Bao
Available Online April 2019.
- https://doi.org/10.2991/icmeit-19.2019.56How to use a DOI?
- radio wave propagation model, coverage prediction, geographic information system.
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
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 PB - Atlantis Press SP - 335 EP - 342 SN - 2352-538X UR - https://doi.org/10.2991/icmeit-19.2019.56 DO - https://doi.org/10.2991/icmeit-19.2019.56 ID - Ai2019/04 ER -