@inproceedings{1df3bf9f9a0c4e51a1c25a50d6a69d17,
title = "Interference and Energy Management for Dense Aerial Access Networks: A Mean Field Game Approach",
abstract = "This work addresses the problem of energy-efficient distributed power and velocity control in dense aerials access networks (AANs). The control problem is formulated as a differential game where the remaining battery energy of the AANs and their locations are controlled. Since equilibrium analysis in such a game is generally difficult, the problem is extended to mean field game (MFG) considering a dense network. A finite difference algorithm based on the Lax-Friedrichs method and Lagrange relaxation is then developed to solve the corresponding MFG. The algorithm outputs illustrate the optimal controls and corresponding mean field distribution of AANs over a predefined period of time. Our results demonstrate the effectiveness of our proposed approach.",
keywords = "game theory, MFG, unmanned aerial vehicles, wireless communications",
author = "Mkiramweni, {Mbazingwa E.} and Chungang Yang and Jiandong Li and Lixin Li and Zhu Han",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019 ; Conference date: 23-10-2019 Through 25-10-2019",
year = "2019",
month = oct,
doi = "10.1109/WCSP.2019.8927924",
language = "英语",
series = "2019 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 11th International Conference on Wireless Communications and Signal Processing, WCSP 2019",
}