@inproceedings{3d7901be964148afaa7a78d7a3e8098e,
title = "Coverage and capacity optimization based on tabu search in ultra-dense network",
abstract = "To meet the requirements of high system capacity and coverage of 5G network, ultra-dense network is viewed as the key technology for networking evolution. And for densely deployed small cell network, self-optimization is crucial in the aspect of reducing the cost of network management while optimizing the network performance. This paper focuses on the coverage and capacity optimization, proposing a mathematical combined optimization function to balance the conflicting key performance indicators. And under this model, we propose the tabu search algorithm for generating new antenna transmit power to optimize the performance. Simulation results show that our proposed algorithm gets significant improvement in network performance and outperforms the adaptive simulated annealing in convergence speed while optimizing.",
keywords = "Coverage and capacity optimization, Small cell, Tabu search, Ultra-dense network",
author = "Xin Su and Xiaofeng Lin and Jie Zeng and Chiyang Xiao",
note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 11th EAI International Conference on Communications and Networking in China, ChinaCom 2016 ; Conference date: 24-09-2016 Through 26-09-2016",
year = "2018",
doi = "10.1007/978-3-319-66628-0_6",
language = "English",
isbn = "9783319666273",
series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",
publisher = "Springer Verlag",
pages = "57--66",
editor = "Qianbin Chen and Weixiao Meng and Liqiang Zhao",
booktitle = "Communications and Networking - 11th EAI International Conference, ChinaCom 2016, Proceedings",
address = "Germany",
}