Analysis of LTE Wireless Network Planning in Power System
- DOI
- 10.2991/emcs-17.2017.46How to use a DOI?
- Keywords
- LTE; Network planning; Coverage; Link budget
- Abstract
With the popularity of intelligent terminals and the rapid growth of mobile data services in recent years, the demand for mobile broadband network is greatly increased. LTE system proposed by 3GPP uses new air interface technology and flattened IP network architecture that can provide the peak rate with downlink 100Mbit / s and uplink 50Mbit / s, and therefore becomes the mainstream technology evolution program for effectively reacting to the explosive growth of global mobile data business. Based on the characteristics of LTE technology and the general planning method, this paper designs a wireless plan for the LTE network of a certain regional telecommunication from two respects of coverage planning and capacity planning, and then verifies the planning through simulation and test, so as to resolve the existing problems of network coverage by means of optimization. The paper estimates out the throughput of each user's uplink and downlink by analyzing both business model and traffic model, and then determines the number of users supportable for each district in accordance with the community capacity, and so as to obtain the number of base stations needed from capacity angle by combining the numbers forecasted by market.
- Copyright
- © 2017, 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/).
Cite this article
TY - CONF AU - Qing Liu AU - Tie Guo AU - Jiwen Yu AU - Yongchao Luo AU - Fan Liu PY - 2017/03 DA - 2017/03 TI - Analysis of LTE Wireless Network Planning in Power System BT - Proceedings of the 2017 7th International Conference on Education, Management, Computer and Society (EMCS 2017) PB - Atlantis Press SP - 231 EP - 235 SN - 2352-538X UR - https://doi.org/10.2991/emcs-17.2017.46 DO - 10.2991/emcs-17.2017.46 ID - Liu2017/03 ER -