Joint resource and trajectory optimization for video streaming in UAV-based emergency indoor-outdoor communication
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11235-024-01151-4.pdf
Reference22 articles.
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2. Alsayfi, M. S., Dahab, M. Y., Eassa, F. E., Salama, R., Haridi, S., & Al-Ghamdi, A. S. (2022). Securing real-time video surveillance data in vehicular cloud computing: A survey. IEEE Access, 10, 51525–51547. https://doi.org/10.1109/ACCESS.2022.3174554
3. Qi, L., Xu, X., Wu, X., Ni, Q., Yuan, Y., & Zhang, X. (2023). Digital-twin-enabled 6G mobile network video streaming using mobile crowdsourcing. IEEE Journal on Selected Areas in Communications, 41(10), 3161–3174. https://doi.org/10.1109/JSAC.2023.3310077
4. Ma, J., Liu, L., Shang, B., Jere, S., & Fan, P. (2023). Performance analysis and optimization for layer-based scalable video caching in 6G networks. IEEE/ACM Transactions on Networking, 31(4), 1494–1506. https://doi.org/10.1109/TNET.2022.3222931
5. Mozaffari, M., Lin, X., & Hayes, S. (2021). Toward 6G with connected sky: UAVs and beyond. IEEE Communications Magazine, 59(12), 74–80. https://doi.org/10.1109/MCOM.005.2100142
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