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research-article

Energy efficient placement of UAVs in wireless backhaul networks

Authors:

Muhammad Karam Shehzad,

Syed Ali Hassan,

M. A. Luque-Nieto,

Javier Poncela,

Haejoon JungAuthors Info & Claims

DroneCom '20: Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

Pages 1 - 6

https://doi.org/10.1145/3414045.3415936

Published: 07 October 2020 Publication History

Abstract

The enormous increase in cellular users requires novel advancements in the existing cellular infrastructure. Therefore, small cell networks (SCNs) are a promising solution to meet the ever-growing demands of cellular users as they are beneficial in terms of coverage and providing higher data rates. However, one of the challenging parts is the deployment of small cell base stations (SBs) and their connectivity with the backhaul network. In this paper, we use the scalable idea of replacing the terrestrial backhaul network with an aerial network to provide fronthaul connectivity to SBs. In particular, we address the optimum placement of unmanned aerial vehicles (UAVs) to associate the SBs such that the sum-rate of the overall network is maximized. We achieve such an objective by proposing a two-layer framework, i.e., unsupervised learning and iterative algorithm (defined as UAV equalizer), and we call this two-layer framework as a hybrid approach. Simulation results show that the proposed hybrid approach outperforms the traditional approaches in terms of maximizing the sum-rate, minimum bandwidth consumption, moreover, maximizing link utilization and energy efficiency.

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Muhammad Karam Shehzad, Syed Ali Hassan, Aamir Mahmood, and Mikael Gidlund. 2019. On the Association of Small Cell Base Stations with UAVs using Unsupervised Learning. In IEEE Vehicular Tech. Conf. (VTC-Spring).

Cited By

Zhu XZhao XDong C(2024)Optimal UAV deployment with star topology in area coverage problemsThe Journal of Supercomputing10.1007/s11227-024-06064-280:11(15464-15484)Online publication date: 3-Apr-2024
https://doi.org/10.1007/s11227-024-06064-2
Sarkar NGul S(2023)Artificial Intelligence-Based Autonomous UAV Networks: A SurveyDrones10.3390/drones70503227:5(322)Online publication date: 16-May-2023
https://doi.org/10.3390/drones7050322
Elnabty IFahmy YKafafy M(2023)Framework for fast and low-complexity deployment of UAVs-assisted communicationPhysical Communication10.1016/j.phycom.2023.10219861(102198)Online publication date: Dec-2023
https://doi.org/10.1016/j.phycom.2023.102198
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Published In

cover image ACM Conferences

DroneCom '20: Proceedings of the 2nd ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond

September 2020

105 pages

ISBN:9781450381055

DOI:10.1145/3414045

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2020

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MobiCom '20

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SIGMOBILE

MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking

September 25, 2020

London, United Kingdom

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Cited By

Zhu XZhao XDong C(2024)Optimal UAV deployment with star topology in area coverage problemsThe Journal of Supercomputing10.1007/s11227-024-06064-280:11(15464-15484)Online publication date: 3-Apr-2024
https://doi.org/10.1007/s11227-024-06064-2
Sarkar NGul S(2023)Artificial Intelligence-Based Autonomous UAV Networks: A SurveyDrones10.3390/drones70503227:5(322)Online publication date: 16-May-2023
https://doi.org/10.3390/drones7050322
Elnabty IFahmy YKafafy M(2023)Framework for fast and low-complexity deployment of UAVs-assisted communicationPhysical Communication10.1016/j.phycom.2023.10219861(102198)Online publication date: Dec-2023
https://doi.org/10.1016/j.phycom.2023.102198
Pinto LAlmeida L(2022)Optimal Relay Network for Aerial Remote InspectionsSensors10.3390/s2204139122:4(1391)Online publication date: 11-Feb-2022
https://doi.org/10.3390/s22041391
Bhatta DMashayekhy L(2022)Physics-Inspired Mobile Cloudlet Placement in Next-Generation Edge Networks2022 IEEE International Conference on Edge Computing and Communications (EDGE)10.1109/EDGE55608.2022.00031(159-168)Online publication date: Jul-2022
https://doi.org/10.1109/EDGE55608.2022.00031
Bajracharya RShrestha RKim SJung H(2022)6G NR-U Based Wireless Infrastructure UAV: Standardization, Opportunities, Challenges and Future ScopesIEEE Access10.1109/ACCESS.2022.315969810(30536-30555)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3159698
Elnabty IFahmy YKafafy M(2022)A survey on UAV placement optimization for UAV-assisted communication in 5G and beyond networksPhysical Communication10.1016/j.phycom.2021.10156451:COnline publication date: 1-Apr-2022
https://dl.acm.org/doi/10.1016/j.phycom.2021.101564
Shehzad MHassan SLuque-Nieto MOtero P(2022)UAV Trajectory Optimization and Choice for UAV Placement for Data Collection in Beyond 5G NetworksIntelligent Unmanned Air Vehicles Communications for Public Safety Networks10.1007/978-981-19-1292-4_6(133-144)Online publication date: 7-May-2022
https://doi.org/10.1007/978-981-19-1292-4_6
K. Shehzad MAhmad AHassan SJung H(2021)Backhaul-Aware Intelligent Positioning of UAVs and Association of Terrestrial Base Stations for Fronthaul ConnectivityIEEE Transactions on Network Science and Engineering10.1109/TNSE.2021.30773148:4(2742-2755)Online publication date: 1-Oct-2021
https://doi.org/10.1109/TNSE.2021.3077314
Shehzad MRose LAssaad M(2021)RNN-Based Twin Channel Predictors for CSI Acquisition in UAV-Assisted 5G+ Networks2021 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM46510.2021.9685990(1-6)Online publication date: 7-Dec-2021
https://dl.acm.org/doi/10.1109/GLOBECOM46510.2021.9685990
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