In this work, we tackle the optimization of network flying platform (NFP) where multiple unmanned aerial vehicles (UAVs) are deployed to configure the intermediate backhaul links for sensor networks. Here, we focus on optimizing the uplink network throughput in dual-hop mixed RF/free space optical communication (FSO) networks by resource allocation and placement. Specifically, the association between UAVs and sensors, transmit power for uplink, and positions of UAVs are jointly and iteratively optimized. Tackling the corresponding mixed-integer non-convex optimization problem, we apply the block coordinate descent method and successive convex optimization methods. Even though we obtain suboptimal solutions due to the non-convexity of the problems, simulation results show that the proposed scheme achieves the significant network throughput gain compared to the conventional scheme.
|Title of host publication||ICTC 2020 - 11th International Conference on ICT Convergence|
|Subtitle of host publication||Data, Network, and AI in the Age of Untact|
|Publisher||IEEE Computer Society|
|Number of pages||3|
|Publication status||Published - 2020 Oct 21|
|Event||11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of|
Duration: 2020 Oct 21 → 2020 Oct 23
|Name||International Conference on ICT Convergence|
|Conference||11th International Conference on Information and Communication Technology Convergence, ICTC 2020|
|Country/Territory||Korea, Republic of|
|Period||20/10/21 → 20/10/23|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)
© 2020 IEEE.
Copyright 2020 Elsevier B.V., All rights reserved.
ASJC Scopus subject areas
- Information Systems
- Computer Networks and Communications