TY - GEN
T1 - Capacity Analysis of Civil Aircraft Networks in SAGIN
AU - Chen, Qian
AU - Li, Shuxun
AU - Meng, Weixiao
AU - Li, Cheng
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Although 5G networks have been gradually commercialized, many scenarios like emergency areas and remote regions still exist with vast communication problems. In this paper, we provide capacity analysis for the novel network architecture called civil-aircraft augmented space-air-ground integrated networks (CAA-SAGIN). First, we discuss the influence of the spatial distribution of civil aircraft (CA) and satellites on the Rician factor. Then, based on the derived moment generating function related to small-fading variables, we deduce the closed-form expressions of ergodic capacity under nearest association strategies. The numerical results demonstrate that CA networks can provide significant ergodic capacity with the multi-platform association strategy. The benefits of CA networks are proved quantitatively, and our works can provide a reference for the design of future SAGIN.
AB - Although 5G networks have been gradually commercialized, many scenarios like emergency areas and remote regions still exist with vast communication problems. In this paper, we provide capacity analysis for the novel network architecture called civil-aircraft augmented space-air-ground integrated networks (CAA-SAGIN). First, we discuss the influence of the spatial distribution of civil aircraft (CA) and satellites on the Rician factor. Then, based on the derived moment generating function related to small-fading variables, we deduce the closed-form expressions of ergodic capacity under nearest association strategies. The numerical results demonstrate that CA networks can provide significant ergodic capacity with the multi-platform association strategy. The benefits of CA networks are proved quantitatively, and our works can provide a reference for the design of future SAGIN.
KW - Association strategy
KW - ergodic capacity
KW - small-scale fading
KW - space-air-ground integrated networks (SAGIN)
KW - stochastic geometiy
UR - https://www.scopus.com/pages/publications/85137263825
U2 - 10.1109/ICC45855.2022.9839257
DO - 10.1109/ICC45855.2022.9839257
M3 - 会议稿件
AN - SCOPUS:85137263825
T3 - IEEE International Conference on Communications
SP - 1877
EP - 1882
BT - ICC 2022 - IEEE International Conference on Communications
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Conference on Communications, ICC 2022
Y2 - 16 May 2022 through 20 May 2022
ER -