Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation

doi:10.1007/s10115-014-0799-y

科研成果详情

题名	Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation
作者	Gu，Fangqing 1,2; Liu，Hai lin 1; Cheung，Yiu Ming 2,3; Xie，Shengli 1
发表日期	2015-12-01
发表期刊	Knowledge and Information Systems
ISSN/eISSN	0219-1377
卷号	45 期号:3 页码:679-703
摘要	The wideband code division multiple access (WCDMA) network planning problem requires to determine the location and the configuration parameters of the base stations (BSs) so as to maximize the capacity and minimize the installation cost. This problem can be formulated as a complex set covering problem. Compared to the classical set covering problems, the coverage area of each BS is unknown in advance. This makes that the selection of each BS location and configuration parameters is determined by the location and configuration parameters of the neighbor BSs. Accordingly, we will conduct a competition and cooperation model based on the re-covered area of the BSs to measure the relationship of the BSs. Then, an efficient genetic operation based on this model is proposed to generate new-quality solutions. Further, four BS configuration parameters, i.e., the antenna height, antenna tilt, sector orientation and pilot signal power, are taken into account as well. Since there are too many combination levels of the configuration parameters, an encoding method based on orthogonal design is presented to reduce the search space. Subsequently, we merge the proposed encoding method and genetic operation into the multiobjective evolutionary algorithm-based decomposition (MOEA/D-M2M) to solve the WCDMA network planning problem. Simulation results show the efficacy of the proposed encoding and genetic operation in comparison with the existing counterpart.
关键词	Multiobjective evolutionary algorithm Orthogonal design Set covering problem Wireless network planning
DOI	10.1007/s10115-014-0799-y
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-84944514329
引用统计	被引频次：20[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6435
专题	北师香港浸会大学
作者单位	1.Guangdong University of Technology,Guangdong,China 2.Department of Computer Science,Hong Kong Baptist University,Hong Kong SAR,China 3.United International College,Beijing Normal University–Hong Kong Baptist University,Zhuhai,China
推荐引用方式 GB/T 7714	Gu，Fangqing,Liu，Hai lin,Cheung，Yiu Minget al. Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation[J]. Knowledge and Information Systems, 2015, 45(3): 679-703.
APA	Gu，Fangqing, Liu，Hai lin, Cheung，Yiu Ming, & Xie，Shengli. (2015). Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation. Knowledge and Information Systems, 45(3), 679-703.
MLA	Gu，Fangqing,et al."Optimal WCDMA network planning by multiobjective evolutionary algorithm with problem-specific genetic operation". Knowledge and Information Systems 45.3(2015): 679-703.