Joint Optimization of Trajectory and Resource Allocation for Time-Constrained UAV-Enabled Cognitive Radio Networks
نویسندگان
چکیده
Unmanned aerial vehicle (UAV)-enabled communication has emerged as an irreplaceable technology in military, disaster relief and emergency scenarios. This correspondence investigates the average throughput a UAV-enabled cognitive radio network, where UAV is regarded dedicated secondary user to enhance network coverage spectral efficiency. Based on probabilistic line-of-sight channel, we exploit joint design of trajectory resource allocation maximize under constraints co-channel interference completion time. The original problem mixed integer non-convex which generally NP-hard. We first decompose primal into bilevel programming problem, then propose efficient high-quality algorithm based particle swarm optimization approach. optimized reveals trade-off between interference. Numerical results verify superiority proposed compared other benchmark schemes.
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ژورنال
عنوان ژورنال: IEEE Transactions on Vehicular Technology
سال: 2022
ISSN: ['0018-9545', '1939-9359']
DOI: https://doi.org/10.1109/tvt.2022.3151671