UAV-Enabled Wireless Networks for Integrated Sensing and Learning-Oriented Communication
<|reference_start|>UAV-Enabled Wireless Networks for Integrated Sensing and Learning-Oriented Communication: Future wireless networks are envisioned to support both sensing and artificial intelligence (AI) services. However, conventional integrated sensing and communication (ISAC) networks may not be suitable due to the ignorance of diverse task-specific data utilities in different AI applications. In this letter, a full-duplex unmanned aerial vehicle (UAV)-enabled wireless network providing sensing and edge learning services is investigated. To maximize the learning performance while ensuring sensing quality, a convergence-guaranteed iterative algorithm is developed to jointly determine the uplink time allocation, as well as UAV trajectory and transmit power. Simulation results show that the proposed algorithm significantly outperforms the baselines and demonstrate the critical tradeoff between sensing and learning performance.<|reference_end|>
@article{zhuang2024uav-enabled,
    title={UAV-Enabled Wireless Networks for Integrated Sensing and
  Learning-Oriented Communication},
    author={Wenhao Zhuang, Xinyu He, Yuyi Mao, Juan Liu},
    journal={arXiv preprint arXiv:2409.00405},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.00405},
    primaryClass={cs.NI}
}