TY - GEN
T1 - Cells on Network Flying Platforms
T2 - 11th International Conference on Information and Communication Technology Convergence, ICTC 2020
AU - Lee, Ju Hyung
AU - Ko, Young Chai
N1 - Funding Information:
ACKNOWLEDGEMENT This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT)(NRF-2018R1A2B2007789)
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85098996718&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85098996718&partnerID=8YFLogxK
U2 - 10.1109/ICTC49870.2020.9289553
DO - 10.1109/ICTC49870.2020.9289553
M3 - Conference contribution
AN - SCOPUS:85098996718
T3 - International Conference on ICT Convergence
SP - 532
EP - 534
BT - ICTC 2020 - 11th International Conference on ICT Convergence
PB - IEEE Computer Society
Y2 - 21 October 2020 through 23 October 2020
ER -