Energy-Efficient Task Offloading in UAV-Enabled MEC via Multi-agent Reinforcement Learning
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9896-8_5
Reference19 articles.
1. Xu, X., Tang, S., Qi, L., Zhou, X., Dai, F., Dou, W.: Cnn partitioning and offloading for vehicular edge networks in web3. IEEE Commun. Mag., 1–7 (2023)
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3. Yuben, Q., et al.: Service provisioning for uav-enabled mobile edge computing. IEEE J. Sel. Areas Commun. 39(11), 3287–3305 (2021)
4. Mukherjee, M., Kumar, V., Lat, A., Guo, M., Matam, R., Lv, Y.: Distributed deep learning-based task offloading for uav-enabled mobile edge computing. In: IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE (2020)
5. Qi, X., Chong, J., Zhang, Q., Yang, Z.: Collaborative computation offloading in the multi-uav fleeted mobile edge computing network via connected dominating set. IEEE Trans. Veh. Technol. 71(10), 10832–10848 (2022)
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