TY - GEN
T1 - Joint Group Matching and DQN Power Allocation for Transmission Rate Maximization in UAV-NOMA Communication Systems
AU - Lian, Yanan
AU - Liu, Zhiming
AU - Wang, Zhongyu
AU - Zeng, Jie
AU - Chang, Zheng
AU - Lv, Tiejun
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper investigates the challenges of user pairing and power allocation in unmanned aerial vehicle (UAV) systems that use nonorthogonal multiple access (NOMA) to communicate with multiple ground users. The main goal is to maximize the achievable transmission rate of the system while ensuring the quality of service (QoS) requirements of users, under a constrained total power budget. Considering the non-convexity of the original problem, a stepwise optimization approach is adopted. To improve resource utilization and solve the user pairing problem, a deep Q-network method assisted by group matching is proposed. Specifically, the group matching method is applied to allocate users, and an optimized deep Q-network (OP-DQN) is used to optimize power allocation strategies. The simulation results show that compared with other user pairing strategies, this method significantly improves resource utilization and fairness. In addition, the proposed scheme effectively enhances the system transmission rate and resource efficiency.
AB - This paper investigates the challenges of user pairing and power allocation in unmanned aerial vehicle (UAV) systems that use nonorthogonal multiple access (NOMA) to communicate with multiple ground users. The main goal is to maximize the achievable transmission rate of the system while ensuring the quality of service (QoS) requirements of users, under a constrained total power budget. Considering the non-convexity of the original problem, a stepwise optimization approach is adopted. To improve resource utilization and solve the user pairing problem, a deep Q-network method assisted by group matching is proposed. Specifically, the group matching method is applied to allocate users, and an optimized deep Q-network (OP-DQN) is used to optimize power allocation strategies. The simulation results show that compared with other user pairing strategies, this method significantly improves resource utilization and fairness. In addition, the proposed scheme effectively enhances the system transmission rate and resource efficiency.
KW - Nonorthogonal multiple access (NOMA)
KW - optimized deep Q-network (OP-DQN)
KW - quality-of-service (QoS)
KW - transmission rate
KW - unmanned aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/105030538910
U2 - 10.1109/PIMRC62392.2025.11275020
DO - 10.1109/PIMRC62392.2025.11275020
M3 - Conference contribution
AN - SCOPUS:105030538910
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
BT - 2025 IEEE 36th International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 36th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2025
Y2 - 1 September 2025 through 4 September 2025
ER -