NDLI: 4G Heterogeneous Networks Base Station Planning Using Evolutionary Multi-objective Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Xueyi Liang Hailin Liu Qiang Wang
Copyright Year	2015
Description	Author affiliation: Sch. of Appl. Math., Guangdong Univ. of Technol., Guangzhou, China (Xueyi Liang; Hailin Liu) \|\| Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China (Qiang Wang)
Abstract	Heterogeneous networks (Het Net) is the development trend of future wireless networks, but the additive small base stations (BSs) make existing BS planning models unavailable. This paper builds a new BS planning model in which takes signal coverage, system capacity and cost as objective functions and takes interference as a very important constraint. Since these issues are conflicting, the optimization problem is a multi-objective optimization problem with constraints which is difficult to tackle. Evolutionary multi-objective optimization algorithm is considered to solve the problem in this paper. In order to improve the speed and ability of search of algorithm, this paper adds local search (LS) and decomposition strategy (DS) to the traditional genetic algorithm (GA). The simulation shows that the proposed algorithm can provide more feasible non-dominated solutions and have faster computing speed.
Starting Page	248
Ending Page	252
File Size	635518
Page Count	5
File Format	PDF
e-ISBN	9781467386609
DOI	10.1109/CIS.2015.68
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	4G Het Net genetic algorithm Computational modeling Roads Interference decomposition strategy Planning BS planning local search Optimization Capacity planning Genetic algorithms
Content Type	Text
Resource Type	Article

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