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To address the security challenges of relay communication in complex environments with potential eavesdroppers, this paper proposes a multi-UAV-assisted relay communication network that provides secure communication services for users. A multi-agent deep reinforcement learning（MARL）algorithm based on the Q-mixing network（QMIX）is employed to jointly optimize UAV trajectories and power allocation. The goal is to guarantee the minimum transmission rate of low-security-sensitivity users（secondary users）while enhancing the communication security and data rate of high-security-sensitivity users（primary users）. Simulation results demonstrate that, compared with the Double Deep Q-Network（Double DQN）and the Dueling Deep Q-Network（Dueling DQN）, the proposed algorithm improves the cumulative reward by approximately 15.5% and 1.26%, respectively. Moreover, the proposed rate-splitting multiple access（RSMA）technique significantly outperforms space-division multiple access（SDMA）and non-orthogonal multiple access（NOMA）in terms of overall system performance and information security. The proposed method provides an effective solution for achieving secure and efficient communication in multi-user wireless networks.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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