Title :
Base Station Planning Optimization Algorithm Based on Public Attitude
Author :
Yan-Ping Liu ; Wen-Zhong Guo ; Fei-Long Zhao
Author_Institution :
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
Abstract :
The problem of base station (BS) planning for TD-LTE network is studied in this paper. This method takes various factors into consideration according to the public attitude. The public attitude plays an important role in the process of BS planning. We choose the area where the network performance is the worst to build BS, according to public attitude, Monte Carlo method and least cost path analysis. The experience results show that after building a few BS, the network performance of planning area is generally good. The method has good application value.
Keywords :
Long Term Evolution; Monte Carlo methods; optimisation; telecommunication network planning; time-domain analysis; Monte Carlo method; TD-LTE network; base station planning optimization algorithm; least cost path analysis; network performance analysis; public attitude; Base stations; Bills of materials; Buildings; Histograms; Long Term Evolution; Monte Carlo methods; Planning; Monte Carlo method; base station planning; least cost path analysis; public attitude;
Conference_Titel :
Wireless Communication and Sensor Network (WCSN), 2014 International Conference on
Print_ISBN :
978-1-4799-7090-2
DOI :
10.1109/WCSN.2014.100
