Joint User Association, Power Allocation and ABS Deployment Optimization in Air-Ground Cooperative Networks

Huan Li, Daosen Zhai, Ruonan Zhang, Haotong Cao, Wenxin Tang, Zhangjie Cai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this paper, we propose an unmanned aerial vehicle (UAV)-assisted air-ground cooperative network scheme to improve system throughput and enhance user fairness by deploying the UAV as aerial base station (ABS) to provide wireless services to cell-edge users. To take full advantage of this scheme, we propose a joint user association, power allocation, and ABS deployment optimization problem to achieve the minimum potential delay fairness. To solve the complex optimization problem, we design an alternating iterative scheme based on branch-and-bound (B&B) algorithm and particle swarm optimization (PSO), and use the k-mean algorithm to obtain the initial solution. The simulation results demonstrate that the proposed algorithm further improves the network performance compared with other schemes.

Original languageEnglish
Title of host publicationIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665494274
DOIs
StatePublished - 2023
Event2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023 - Hoboken, United States
Duration: 20 May 2023 → …

Publication series

NameIEEE INFOCOM 2023 - Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023

Conference

Conference2023 IEEE INFOCOM Conference on Computer Communications Workshops, INFOCOM WKSHPS 2023
Country/TerritoryUnited States
CityHoboken
Period20/05/23 → …

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