TY - GEN
T1 - Joint Access Selection and Bandwidth Allocation Methods
T2 - 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021
AU - Zhou, Mi
AU - Guan, Yue
AU - Niu, Kaicheng
AU - Hayajneh, Mohammad
AU - Abdallah, Chaouki Tanios
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - In this article, we propose a joint access selection and bandwidth allocation method for UAV-assisted wireless communication networks. We consider an application scenario where UAVs act as flying base stations to provide wireless services to ground mobile devices. The interactions among UAVs and mobile devices are modeled as a Stackelberg game, where the UAVs are the leaders and the mobile devices are the followers. The bandwidth allocation among UAVs is modeled as a non-cooperative game, and the access selection of mobile devices is based on the evolutionary game theory. We explore the distributed evolutionary game and the synchronous update and asynchronous update's influence on the convergence results. In addition, a Q-learning approach for access selection is also used as a benchmark. We provide theoretical analysis to show the existence and uniqueness of equilibrium under this hierarchical framework. Finally, simulation results verify the performance of the proposed model.
AB - In this article, we propose a joint access selection and bandwidth allocation method for UAV-assisted wireless communication networks. We consider an application scenario where UAVs act as flying base stations to provide wireless services to ground mobile devices. The interactions among UAVs and mobile devices are modeled as a Stackelberg game, where the UAVs are the leaders and the mobile devices are the followers. The bandwidth allocation among UAVs is modeled as a non-cooperative game, and the access selection of mobile devices is based on the evolutionary game theory. We explore the distributed evolutionary game and the synchronous update and asynchronous update's influence on the convergence results. In addition, a Q-learning approach for access selection is also used as a benchmark. We provide theoretical analysis to show the existence and uniqueness of equilibrium under this hierarchical framework. Finally, simulation results verify the performance of the proposed model.
KW - Bandwidth
KW - Q-learning
KW - Stackelberg game
KW - UAVs
KW - Wireless communication
UR - http://www.scopus.com/inward/record.url?scp=85125639297&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85125639297&partnerID=8YFLogxK
U2 - 10.1109/IWCMC51323.2021.9498863
DO - 10.1109/IWCMC51323.2021.9498863
M3 - Conference contribution
AN - SCOPUS:85125639297
T3 - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021
SP - 1320
EP - 1325
BT - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 June 2021 through 2 July 2021
ER -