Research Article
Coverage and Capacity Optimization Based on Tabu Search in Ultra-Dense Network
@INPROCEEDINGS{10.1007/978-3-319-66628-0_6, author={Xin Su and Xiaofeng Lin and Jie Zeng and Chiyang Xiao}, title={Coverage and Capacity Optimization Based on Tabu Search in Ultra-Dense Network}, proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Ultra-dense network Coverage and capacity optimization Tabu search Small cell}, doi={10.1007/978-3-319-66628-0_6} }- Xin Su
Xiaofeng Lin
Jie Zeng
Chiyang Xiao
Year: 2017
Coverage and Capacity Optimization Based on Tabu Search in Ultra-Dense Network
CHINACOM
Springer
DOI: 10.1007/978-3-319-66628-0_6
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.