TY - JOUR
T1 - Space-Air-Ground Integrated Networks
T2 - Spherical Stochastic Geometry-Based Uplink Connectivity Analysis
AU - Liu, Yalin
AU - Dai, Hong Ning
AU - Wang, Qubeijian
AU - Pandey, Om Jee
AU - Fu, Yaru
AU - Zhang, Ning
AU - Niyato, Dusit
AU - Lee, Chi Chung
N1 - The work of Yalin Liu was supported by the Hong Kong Metropolitan University Research Grant (Research and Development Fund) under Grant RD/2023/2.22. The work of Qubeijian Wang was supported in part by the Shanghai Sailing Program under Grant 21YF1451100, in part by the Natural Science Basic Research Program of Shaanxi under Grant 2022JQ-625, and in part by the Fundamental Research Funds for the Central Universities under Grant D5000210591. The work of Yaru Fu was supported in part by the Hong Kong Research Matching Grant (RMG) in the Central Pot under Project CP/2022/2.1 and in part by the Research and Development Fund (R&D Fund) under Grant RD/2023/1.8. The work of Dusit Niyato was supported in part by the National Research Foundation, Singapore; in part by the Infocomm Media Development Authority under its Future Communications Research and Development Programme; in part by the Defence Science Organisation (DSO) National Laboratories under
the AI Singapore Programme (AISG) under Award AISG2-RP-2020-019 and Award FCP-ASTAR-TG- 2022-003; and in part by MOE Tier 1 under Grant RG87/22.
Publisher Copyright:
© 1983-2012 IEEE.
PY - 2024/5/9
Y1 - 2024/5/9
N2 - By integrating the merits of aerial, terrestrial, and satellite communications, the space-air-ground integrated network (SAGIN) is an emerging solution that can provide massive access, seamless coverage, and reliable transmissions for global-range applications. In SAGINs, the uplink connectivity from ground users (GUs) to the satellite is essential because it ensures global-range data collections and interactions, thereby paving the technical foundation for practical implementations of SAGINs. In this article, we aim to establish an accurate analytical model for the uplink connectivity of SAGINs in consideration of the global distributions of both GUs and aerial vehicles (AVs). Particularly, we investigate the uplink path connectivity of SAGINs, which refers to the probability of establishing the end-to-end path from GUs to the satellite with or without AV relays. However, such an investigation on SAGINs is challenging because all GUs and AVs are approximately distributed on a spherical surface (instead of the horizontal surface), resulting in the complexity of network modeling. To address this challenge, this paper presents a new analytical approach based on spherical stochastic geometry. Based on this approach, we derive the analytical expression of the path connectivity in SAGINs. Extensive simulations confirm the accuracy of the analytical model.
AB - By integrating the merits of aerial, terrestrial, and satellite communications, the space-air-ground integrated network (SAGIN) is an emerging solution that can provide massive access, seamless coverage, and reliable transmissions for global-range applications. In SAGINs, the uplink connectivity from ground users (GUs) to the satellite is essential because it ensures global-range data collections and interactions, thereby paving the technical foundation for practical implementations of SAGINs. In this article, we aim to establish an accurate analytical model for the uplink connectivity of SAGINs in consideration of the global distributions of both GUs and aerial vehicles (AVs). Particularly, we investigate the uplink path connectivity of SAGINs, which refers to the probability of establishing the end-to-end path from GUs to the satellite with or without AV relays. However, such an investigation on SAGINs is challenging because all GUs and AVs are approximately distributed on a spherical surface (instead of the horizontal surface), resulting in the complexity of network modeling. To address this challenge, this paper presents a new analytical approach based on spherical stochastic geometry. Based on this approach, we derive the analytical expression of the path connectivity in SAGINs. Extensive simulations confirm the accuracy of the analytical model.
KW - Aerial vehicles (AVs)
KW - connectivity analysis
KW - space-air-ground integrated networks (SAGINs)
KW - spherical stochastic geometry
UR - http://www.scopus.com/inward/record.url?scp=85185385536&partnerID=8YFLogxK
U2 - 10.1109/JSAC.2024.3365891
DO - 10.1109/JSAC.2024.3365891
M3 - Journal article
AN - SCOPUS:85185385536
SN - 0733-8716
VL - 42
SP - 1387
EP - 1402
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 5
ER -