TY - GEN
T1 - Price-based power allocation for multi-UAV enabled wireless networks
AU - Liu, Xiaomin
AU - Li, Lixin
AU - Yang, Fucheng
AU - Li, Xu
AU - Chen, Wei
AU - Xu, Wenjun
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - In this paper, we study the problem of downlink power allocation in the multi-UAV enabled wireless networks, where the unmanned aerial vehicles (UAVs) act as the aerial base stations (BSs) to serve a group of users on the ground. To solve the problem, we propose a price-based optimal power allocation scheme, and model the interaction between the UAVs and the ground users as a Stackelberg game. As the leaders of the game, the UAVs choose the optimal power price to maximize their own revenue. Each ground user of the networks selects optimal power strategy to maximize its own utility. In order to solve the equilibrium program with equilibrium constraints (EPEC) problem of the Stackelberg game, we investigate the lower equilibrium of the ground users, and propose a distributed iterative algorithm to obtain the equilibrium of the lower game. Simulation results show that through the price-based optimal power allocation scheme, the capacity of the BSs and the rates of users are improved.
AB - In this paper, we study the problem of downlink power allocation in the multi-UAV enabled wireless networks, where the unmanned aerial vehicles (UAVs) act as the aerial base stations (BSs) to serve a group of users on the ground. To solve the problem, we propose a price-based optimal power allocation scheme, and model the interaction between the UAVs and the ground users as a Stackelberg game. As the leaders of the game, the UAVs choose the optimal power price to maximize their own revenue. Each ground user of the networks selects optimal power strategy to maximize its own utility. In order to solve the equilibrium program with equilibrium constraints (EPEC) problem of the Stackelberg game, we investigate the lower equilibrium of the ground users, and propose a distributed iterative algorithm to obtain the equilibrium of the lower game. Simulation results show that through the price-based optimal power allocation scheme, the capacity of the BSs and the rates of users are improved.
KW - Equilibrium Program with Equilibrium Constraints
KW - Power allocation
KW - Stackelberg game
KW - Unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85070370096&partnerID=8YFLogxK
U2 - 10.1109/WOCC.2019.8770581
DO - 10.1109/WOCC.2019.8770581
M3 - 会议稿件
AN - SCOPUS:85070370096
T3 - 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
BT - 2019 28th Wireless and Optical Communications Conference, WOCC 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 28th Wireless and Optical Communications Conference, WOCC 2019
Y2 - 9 May 2019 through 10 May 2019
ER -