Title :
Optimization and design of HAPs broadband communication networks
Author :
Feihong Dong;Yuanzhi He;Xionglin Zhou;Qing Yao;Long Liu
Author_Institution :
Institute of Communications Engineering, PLA University of Science and Technology, Nanjing, Jiangsu, 210007 China
fDate :
4/1/2015 12:00:00 AM
Abstract :
In this paper, the quality of service (QoS) metrics and user demand model are established in high altitude platforms (HAPs) broadband communication network. A methodology of mobile base station placement is proposed with QoS and user demand guarantee for the first time. Besides, the HAPs placement optimization framework is established by optimizing the design vector (DV) to maximize network capacity per cost (NCPC). In addition, the optimization model and improved artificial immune algorithm based on immune review (IAIAIR) are designed. Simulation results show that the proposed placement method can effectively solve the problem of mobile base station layout in HAPs broadband network.
Keywords :
"Quality of service","Artificial neural networks","Signal to noise ratio","Tin","Time division multiple access"
Conference_Titel :
Information Science and Technology (ICIST), 2015 5th International Conference on
DOI :
10.1109/ICIST.2015.7288959