Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/625052
Title: A Constellation Design Methodology Based on QoS and User Demand in High-Altitude Platform Broadband Networks
Authors: Feihong Dong;Han Han;Xiangwu Gong;Jingchao Wang;Hongjun Li
subject: cost efficient|user demand model|high-altitude platforms (HAPs) broadband network|Constellation design|improved artificial immune algorithm|quality of service (QoS) metrics
Year: 2016
Publisher: IEEE
Abstract: 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.
URI: http://localhost/handle/Hannan/161231
http://localhost/handle/Hannan/625052
ISSN: 1520-9210
1941-0077
volume: 18
issue: 12
Appears in Collections:2016

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Title: A Constellation Design Methodology Based on QoS and User Demand in High-Altitude Platform Broadband Networks
Authors: Feihong Dong;Han Han;Xiangwu Gong;Jingchao Wang;Hongjun Li
subject: cost efficient|user demand model|high-altitude platforms (HAPs) broadband network|Constellation design|improved artificial immune algorithm|quality of service (QoS) metrics
Year: 2016
Publisher: IEEE
Abstract: 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.
URI: http://localhost/handle/Hannan/161231
http://localhost/handle/Hannan/625052
ISSN: 1520-9210
1941-0077
volume: 18
issue: 12
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7523917.pdf1.03 MBAdobe PDFThumbnail
Preview File
Title: A Constellation Design Methodology Based on QoS and User Demand in High-Altitude Platform Broadband Networks
Authors: Feihong Dong;Han Han;Xiangwu Gong;Jingchao Wang;Hongjun Li
subject: cost efficient|user demand model|high-altitude platforms (HAPs) broadband network|Constellation design|improved artificial immune algorithm|quality of service (QoS) metrics
Year: 2016
Publisher: IEEE
Abstract: 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.
URI: http://localhost/handle/Hannan/161231
http://localhost/handle/Hannan/625052
ISSN: 1520-9210
1941-0077
volume: 18
issue: 12
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7523917.pdf1.03 MBAdobe PDFThumbnail
Preview File