文献类型：会议论文

英文题名：Cooperating Base Station Location Optimization Using Genetic Algorithm

作者：Meng, Haijun Long, Fei Guo, Lu Xiao, Yingqun

第一作者：Meng, Haijun

通信作者：Xiao, YQ[1]

机构：[1]Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R China;[2]Guizhou Inst Technol, Coll Elect Engn, Guiyang 550003, Peoples R China

第一机构：Guizhou Univ, Coll Big Data & Informat Engn, Guiyang 550025, Peoples R China

通信机构：corresponding author), Guizhou Inst Technol, Coll Elect Engn, Guiyang 550003, Peoples R China.|贵州理工学院电气与信息工程学院;贵州理工学院;

会议论文集：28th Chinese Control and Decision Conference

会议日期：MAY 28-30, 2016

会议地点：Yinchuan, PEOPLES R CHINA

语种：英文

外文关键词：Coordinated transmission; Radio network planning; Genetic algorithm; LTE-A

年份：2016

摘要：In recent years, many researches have been undertaken in the field of LTE-A(Long Term Evolution Advanced) radio network planning (RNP). However, advanced techniques such as coordinated transmission (CP) have been used in the LTE/LTE-A system which entailed a set of new challenges for RNP. CP technologies have been shown not only achieve high data rates but also highly benefits in terms of cellular capacity, Co-Channel interference management and cell edge user experience. However, to realize the benefits of CP in actual cellular networks, radio networks must be different from traditional radio networks. As a result, the traditional cellular networks planning schemes would not been suitable for the current radio networks. In this paper, the GA(Genetic Algorithm) is used to address the problem of radio base station location planning, which focuses on minimizing the cost of cellular networks and the power consumption meanwhile meet certain coverage and capacity constraints satisfaction. Simulation results demonstrate that the proposed scheme can reduce the energy consumption and downsize the structure of the Base Stations (BSs) effectively, and then it can be applied to various types of networks.