@inproceedings{7f56807e7fe3456dbaf4bf7998186950,
title = "Resource Allocation for End-to-End Delay Minimization in UAV-Enabled Mesh Networks",
abstract = "Integrating unmanned aerial vehicles (UAVs) and mesh networks into traditional terrestrial communications is a promising technique to achieve the Internet of everything for next generation communication systems. In this paper, we investigate a time-frequency resource allocation problem in UAV-enabled mesh networks. We first mathematically model the network constraints and objectives for minimizing the total end-to-end (E2E) delay. Then, we transform the original non-convex problem into a series of channel assignment problems in successive time slots. Next, the channel assignment problem in each time slot is sub-optimally solved by the successive convex approximation (SCA) technique. Simulation results confirm that the proposed time-frequency allocation algorithm significantly outperforms three benchmark schemes in terms of total E2E delay.",
keywords = "UAV communications, channel assignment, end-to-end delay, mesh networks, resource allocation",
author = "Yanming Liu and Haobin Mao and Lipeng Zhu and Zhenyu Xiao and Xia, \{Xiang Gen\}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE/CIC International Conference on Communications in China, ICCC 2022 ; Conference date: 11-08-2022 Through 13-08-2022",
year = "2022",
doi = "10.1109/ICCC55456.2022.9880779",
language = "English",
series = "2022 IEEE/CIC International Conference on Communications in China, ICCC 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "440--445",
booktitle = "2022 IEEE/CIC International Conference on Communications in China, ICCC 2022",
address = "United States",
}