TY - GEN
T1 - Game theory based power allocation method for inter-satellite links in LEO/MEO two-layered satellite networks
AU - Zhang, Huaming
AU - Li, Qiang
AU - Zhang, Yijin
AU - Li, Xun
N1 - Funding Information:
VI. ACKNOWLEDGMNT This work was supported by the National Key Research and Development Program of China under Grant No. 2019YFB1803101.
Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/28
Y1 - 2021/7/28
N2 - Performance optimization of the inter-satellite link is the key to improve the performance of satellite networks. This article proposes a dynamic power allocation method for the inter-satellite link of Low Earth Orbit (LEO)/Medium Earth Orbit (MEO) satellites based on the computing power of LEO satellites. A utility function is designed according to the transmission characteristic of the inter-satellite link. The existence of the Nash Equilibrium (NE) of the utility function is proved based on the super-modular game theory. The LEO satellite obtains its balanced solution of the transmission power through the Newton iteration method. In this process, based on the initial orbit parameters of the satellite and the satellite operating time, the inter-satellite link distance is predicted through the spherical geometric relationship between the LEO/MEO satellites, so that the signal-to-interference and noise ratio (SINR) can be estimated in advance. The MEO satellite controls the penalty factor to enhance the utility of the entire network. Simulation results show that the proposed power allocation method achieves the purpose of saving power resources while improving system performance.
AB - Performance optimization of the inter-satellite link is the key to improve the performance of satellite networks. This article proposes a dynamic power allocation method for the inter-satellite link of Low Earth Orbit (LEO)/Medium Earth Orbit (MEO) satellites based on the computing power of LEO satellites. A utility function is designed according to the transmission characteristic of the inter-satellite link. The existence of the Nash Equilibrium (NE) of the utility function is proved based on the super-modular game theory. The LEO satellite obtains its balanced solution of the transmission power through the Newton iteration method. In this process, based on the initial orbit parameters of the satellite and the satellite operating time, the inter-satellite link distance is predicted through the spherical geometric relationship between the LEO/MEO satellites, so that the signal-to-interference and noise ratio (SINR) can be estimated in advance. The MEO satellite controls the penalty factor to enhance the utility of the entire network. Simulation results show that the proposed power allocation method achieves the purpose of saving power resources while improving system performance.
KW - Game theory
KW - Inter-satellite link
KW - LEO/MEO satellites
KW - Power allocation
UR - https://www.scopus.com/pages/publications/85119341680
U2 - 10.1109/ICCC52777.2021.9580385
DO - 10.1109/ICCC52777.2021.9580385
M3 - Conference article published in proceeding or book
AN - SCOPUS:85119341680
T3 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
SP - 398
EP - 403
BT - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE/CIC International Conference on Communications in China, ICCC 2021
Y2 - 28 July 2021 through 30 July 2021
ER -