TY - GEN
T1 - Matching-Based Resource Allocation and Distributed Power Control Using Mean Field Game in the NOMA-Based UAV Networks
AU - Zhang, Zihe
AU - Li, Lixin
AU - Liu, Xiaomin
AU - Liang, Wei
AU - Han, Zhu
N1 - Publisher Copyright:
© 2018 APSIPA organization.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - This paper investigates the resource allocation and distributed power control in the dense unmanned aerial vehicle (UAV) networks. Under the considered non-orthogonal multiple access (NOMA)-based UAV networks, we propose a two-stage scheme to alleviate the congestion of date traffic and the interference effects. In the proposed scheme, a high altitude platform (HAP) performs semi-persistent scheduling and allocates time-frequency resources in a non-orthogonal manner while the UAVs autonomously perform distributed power control. We formulate centralized resource allocation problem as a roommate matching problem and develop a novel time slot allocation algorithm to solve it. And the distributed power control of massive UAVs is formulated as a mean field game (MFG), which is solved based on the finite difference method. Simulation results show that the proposed scheme can greatly improve the reliability of communication in the dense UAV networks.
AB - This paper investigates the resource allocation and distributed power control in the dense unmanned aerial vehicle (UAV) networks. Under the considered non-orthogonal multiple access (NOMA)-based UAV networks, we propose a two-stage scheme to alleviate the congestion of date traffic and the interference effects. In the proposed scheme, a high altitude platform (HAP) performs semi-persistent scheduling and allocates time-frequency resources in a non-orthogonal manner while the UAVs autonomously perform distributed power control. We formulate centralized resource allocation problem as a roommate matching problem and develop a novel time slot allocation algorithm to solve it. And the distributed power control of massive UAVs is formulated as a mean field game (MFG), which is solved based on the finite difference method. Simulation results show that the proposed scheme can greatly improve the reliability of communication in the dense UAV networks.
UR - http://www.scopus.com/inward/record.url?scp=85063477136&partnerID=8YFLogxK
U2 - 10.23919/APSIPA.2018.8659478
DO - 10.23919/APSIPA.2018.8659478
M3 - 会议稿件
AN - SCOPUS:85063477136
T3 - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
SP - 420
EP - 426
BT - 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2018
Y2 - 12 November 2018 through 15 November 2018
ER -