TY - JOUR
T1 - Optimal Satellite Gateway Placement in Space-Ground Integrated Networks
AU - Cao, Yurui
AU - Guo, Hongzhi
AU - Liu, Jiajia
AU - Kato, Nei
N1 - Funding Information:
AcknowledGments This work was supported by the National Natural Science Foundation of China (61771374, 61771373, and 61601357), in part by the China 111 Project (B16037), and in part by the Fundamental Research Fund for the Central Universities (JB171501, JB181506, JB181507, and JB181508).
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - The space-ground integrated network appears to be a promising solution for providing global coverage and broadband communications. Over the past several years, many pioneering research works toward space-ground integrated networks have emerged. However, it has been noticed that most existing research works have neglected the impact of satellite gateway placement on network reliability, in particular, not considering the practical capacity constraint on satellite links. In light of this, we study in this article the gateway placement problem with capacity constraint in the space-ground integrated network, and propose an enumeration scheme and a heuristic greedy scheme as our solutions. Extensive numerical results validate the efficacy of our proposed strategies.
AB - The space-ground integrated network appears to be a promising solution for providing global coverage and broadband communications. Over the past several years, many pioneering research works toward space-ground integrated networks have emerged. However, it has been noticed that most existing research works have neglected the impact of satellite gateway placement on network reliability, in particular, not considering the practical capacity constraint on satellite links. In light of this, we study in this article the gateway placement problem with capacity constraint in the space-ground integrated network, and propose an enumeration scheme and a heuristic greedy scheme as our solutions. Extensive numerical results validate the efficacy of our proposed strategies.
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U2 - 10.1109/MNET.2018.1800016
DO - 10.1109/MNET.2018.1800016
M3 - Article
AN - SCOPUS:85054377456
VL - 32
SP - 32
EP - 37
JO - IEEE Network
JF - IEEE Network
SN - 0890-8044
IS - 5
M1 - 8473478
ER -