Cells on Network Flying Platforms: Optimal Resource Allocation and Deployment for Sensor Network

Ju Hyung Lee, Young Chai Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationICTC 2020 - 11th International Conference on ICT Convergence
Subtitle of host publicationData, Network, and AI in the Age of Untact
PublisherIEEE Computer Society
Pages532-534
Number of pages3
ISBN (Electronic)9781728167589
DOIs
Publication statusPublished - 2020 Oct 21
Event11th International Conference on Information and Communication Technology Convergence, ICTC 2020 - Jeju Island, Korea, Republic of
Duration: 2020 Oct 212020 Oct 23

Publication series

NameInternational Conference on ICT Convergence
Volume2020-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference11th International Conference on Information and Communication Technology Convergence, ICTC 2020
CountryKorea, Republic of
CityJeju Island
Period20/10/2120/10/23

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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