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• W4290717667 abstract "A cellular unmanned-aerial-vehicle (UAV)-enabled system is studied in this research, where multiple UAVs work cooperatively to upload the collected sensory data to the base station (BS). The UAVs form a two-tier network with two kinds of communication modes, i.e., UAV-to-Network (U2N) and UAV-to-UAV (UAV) communications. We investigate the communication resource allocation for UAVs to maximize the aggregate energy efficiency of the system. The formulated problem is mixed-integer and NP-hard. To make the formulated problem tractable, an efficient matching-based algorithm is proposed to complete the transmission mode selection and subchannel allocation, respectively. Then the transmission power is optimized based on game theory. The simulation results reveal that the uplink energy efficiency can be improved with the proposed scheme, compared with the maximum power strategy." @default.
• W4290717667 created "2022-08-09" @default.
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• W4290717667 date "2022-11-01" @default.
• W4290717667 modified "2023-10-12" @default.
• W4290717667 title "Resource Allocation for the Backhaul of NOMA-Based Cellular UAV Network" @default.
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• W4290717667 doi "https://doi.org/10.1109/tvt.2022.3193459" @default.
• W4290717667 hasPublicationYear "2022" @default.
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