Journal
IEEE TRANSACTIONS ON MULTIMEDIA
Volume 18, Issue 12, Pages 2384-2397Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMM.2016.2595260
Keywords
Constellation design; cost efficient; high-altitude platforms (HAPs) broadband network; improved artificial immune algorithm; quality of service (QoS) metrics; user demand model
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Funding
- National Natural Science Foundation of China [61231011, 61032004, 91338201]
- National High Technology Research and Development Program of China (863 Program) [2012AA121605]
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An investigation into the constellation design methodology of high-altitude platform (HAP) broadband networks is presented. The quality of service (QoS) metrics and user demand model are established in the HAP broadband networks. Each HAP is seen as a mobile base station, and a methodology of mobile base station placement is proposed with QoS and user demand guarantee for the first time. The multiple HAP coverage is analyzed with link geometry based on the single HAP coverage model. Besides, a cost-efficient optimization design framework for the HAP constellation is established by optimizing the design vector to maximize the network capacity per cost under the constraints of QoS metrics. In addition, the optimization model and improved artificial immune algorithm based on immune review are designed, and performance of the proposed method is demonstrated through in-depth numerical simulations. Simulation results show that the proposed constellation design method can effectively solve the problem of the mobile base station layout in the HAP broadband networks.
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