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Spurred by the severe restrictions on mobility due to the COVID-19 pandemic, there is currently intense interest in developing the Metaverse, to offer virtual services/business online.
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P. Tong, J. Liu, X. Wang, B. Bai, and H. Dai, “Deep Reinforcement Learning for Efficient Data Collection in UAV-Aided Internet of Things,” in Proc. IEEE Int. Conf. Commun. (ICC) , 2020, pp. 1–6
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J. Radoff, “The Metaverse Value-Chain,” https://medium.com/building-the-metaverse/the-metaverse-value-chain-afcf9e09e3a7
2021
Closest in time.
H. Duan, J. Li, S. Fan, Z. Lin, X. Wu, and W. Cai, “Metaverse for Social Good: A University Campus Prototype,” in Proc. ACM Multimedia , 2021, pp. 153–161
2021
Closest in time.
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2020
Cited alongside, same era.
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2020
Cited alongside, same era.
2021
Closest in time.
Q. Zhang, W. Saad, M. Bennis, X. Lu, M. Debbah, and W. Zuo, “Predictive Deployment of UAV Base Stations in Wireless Networks: Machine Learning Meets Contract Theory,” IEEE Trans. Wireless Commun. , vol. 20, no. 1, pp. 637–652, Jan. 2021
2021
Closest in time.
W. Y. B. Lim, J. Huang, Z. Xiong, J. Kang, D. Niyato, X.-S. Hua, C. Leung, and C. Miao, “Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach,” IEEE Trans. Intell. Transp. Syst. , vol. 22, no. 8, pp. 5140–5154, Aug. 2021
2021
Closest in time.