A hybrid framework for capacity and coverage optimization in self-organizing LTE networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Zhang:2013:PIMRC,

• author = "Jietao Zhang and Chunhua Sun and Youwen Yi and Hongcheng Zhuang",
• title = "A hybrid framework for capacity and coverage optimization in self-organizing LTE networks",
• booktitle = "24th IEEE International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC 2013)",
• year = "2013",
• month = sep,
• pages = "2919--2923",
• address = "London",
• keywords = "genetic algorithms, genetic programming, Self-Organising Networks, Capacity and Coverage Optimisation, Multi-Objective Optimisation",
• DOI = "doi:10.1109/PIMRC.2013.6666646",
• ISSN = "2166-9570",
• abstract = "In this paper, we address the capacity and coverage optimisation (CCO) problem for LTE networks by means of self-organising network (SON) techniques. A novel hybrid two-layer optimisation framework is proposed to enhance the network capacity and coverage, where on the top layer a network entity of eCoordinator is implemented to ensure overall network coverage by optimising the antenna tilt and capacity-coverage weight of each cell in a centralised manner, and on the bottom layer individual eNB optimises cell-specific capacity and coverage by tuning its pilot power in a distributed manner. A heuristic algorithm is developed for the eCoordinator operation at large time granularity and the Genetic Programming (GP) approach is exploited for the eNB operation at small time granularity, for the purpose of tracking overall network performance as well as adapting to network dynamics. Our simulation results have demonstrated the usefulness of the proposed algorithms by enhancing network capacity and coverage performance under various system requirements.",
• notes = "Also known as \cite{6666646}",

}

Genetic Programming entries for Jietao Zhang Chunhua Sun Youwen Yi Hongcheng Zhuang

Citations