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Opportunistic Utilization of Dynamic Multi-UAV in Device-to-Device Communication Networks.

, , , , , , , and . IEEE Trans. Cogn. Commun. Netw., 6 (3): 1069-1083 (2020)

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QoE-aware distributed carrier aggregation in cognitive small cell networks: A game-theory approach., , , , , and . WOCC, page 1-5. IEEE, (2016)Joint Time-frequency Anti-jamming Communications: A Reinforcement Learning Approach., , , , , , and . WCSP, page 1-6. IEEE, (2019)A game theoretic learning solution for distributed relay selection on throughput optimization., , , , and . Wireless Networks, 23 (6): 1757-1766 (2017)Multi-radio Relay Frequency Hopping Based on USRP Platforms., , , , and . SimuTools (1), volume 369 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 327-338. Springer, (2020)Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective., , , , , , , and . IEEE Wirel. Commun., 26 (6): 102-110 (2019)A game theoretic solution for relay selection in dynamic cooperative networks., , , and . WOCC, page 1-5. IEEE, (2016)Dynamic Network Access for Multi-UAV Networks: A Cloud-Assisted Learning Algorithm., , , , and . MLICOM, volume 251 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 358-369. Springer, (2018)Opportunistic Utilization of Dynamic Multi-UAV in Device-to-Device Communication Networks., , , , , , , and . IEEE Trans. Cogn. Commun. Netw., 6 (3): 1069-1083 (2020)The Heterogeneous Demands Satisfaction in IoT Network: Air-Ground Collaborative Deployment., , , , and . IEEE Trans. Veh. Technol., 70 (12): 12713-12724 (2021)Self-Organizing Relay Selection in UAV Communication Networks: A Matching Game Perspective., , , , , , , and . CoRR, (2018)