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Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond

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Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond. / Rahman, Shams Ur; Khan, Ajmal; Usman, Muhammad et al.
In: Sensors, Vol. 23, No. 16, 7098, 11.08.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Rahman, SU, Khan, A, Usman, M, Bilal, M, Cho, YZ & El-Sayed, H 2023, 'Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond', Sensors, vol. 23, no. 16, 7098. https://doi.org/10.3390/s23167098

APA

Rahman, S. U., Khan, A., Usman, M., Bilal, M., Cho, Y. Z., & El-Sayed, H. (2023). Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond. Sensors, 23(16), Article 7098. https://doi.org/10.3390/s23167098

Vancouver

Rahman SU, Khan A, Usman M, Bilal M, Cho YZ, El-Sayed H. Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond. Sensors. 2023 Aug 11;23(16):7098. doi: 10.3390/s23167098

Author

Rahman, Shams Ur ; Khan, Ajmal ; Usman, Muhammad et al. / Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond. In: Sensors. 2023 ; Vol. 23, No. 16.

Bibtex

@article{ac0910c211f3400d8c0549650dfa2b3e,
title = "Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond",
abstract = "The ultra-dense deployment (UDD) of small cells in 5G and beyond to enhance capacity and data rate is promising, but since user densities continually change, the static deployment of small cells can lead to wastes of capital, the underutilization of resources, and user dissatisfaction. This work proposes the use of Aerial Base Stations (ABSs) wherein small cells are mounted on Unmanned Aerial Vehicles (UAVs), which can be deployed to a set of candidate locations. Furthermore, based on the current user densities, this work studies the optimal placement of the ABSs, at a subset of potential candidate positions, to maximize the total received power and signal-to-interference ratio. The problems of the optimal placement for increasing received power and signal-to-interference ratio are formulated, and optimal placement solutions are designed. The proposed solutions compute the optimal candidate locations for the ABSs based on the current user densities. When the user densities change significantly, the proposed solutions can be re-executed to re-compute the optimal candidate locations for the ABSs, and hence the ABSs can be moved to their new candidate locations. Simulation results show that a 22% or more increase in the total received power can be achieved through the optimal placement of the Aerial BSs and that more than 60% users have more than 80% chance to have their individual received power increased.",
keywords = "5G, dynamic repositioning, optimal positioning, throughput maximization, UAV network, ultra-dense deployment",
author = "Rahman, {Shams Ur} and Ajmal Khan and Muhammad Usman and Muhammad Bilal and Cho, {You Ze} and Hesham El-Sayed",
year = "2023",
month = aug,
day = "11",
doi = "10.3390/s23167098",
language = "English",
volume = "23",
journal = "Sensors",
issn = "1424-8220",
publisher = "NLM (Medline)",
number = "16",

}

RIS

TY - JOUR

T1 - Dynamic Repositioning of Aerial Base Stations for Enhanced User Experience in 5G and Beyond

AU - Rahman, Shams Ur

AU - Khan, Ajmal

AU - Usman, Muhammad

AU - Bilal, Muhammad

AU - Cho, You Ze

AU - El-Sayed, Hesham

PY - 2023/8/11

Y1 - 2023/8/11

N2 - The ultra-dense deployment (UDD) of small cells in 5G and beyond to enhance capacity and data rate is promising, but since user densities continually change, the static deployment of small cells can lead to wastes of capital, the underutilization of resources, and user dissatisfaction. This work proposes the use of Aerial Base Stations (ABSs) wherein small cells are mounted on Unmanned Aerial Vehicles (UAVs), which can be deployed to a set of candidate locations. Furthermore, based on the current user densities, this work studies the optimal placement of the ABSs, at a subset of potential candidate positions, to maximize the total received power and signal-to-interference ratio. The problems of the optimal placement for increasing received power and signal-to-interference ratio are formulated, and optimal placement solutions are designed. The proposed solutions compute the optimal candidate locations for the ABSs based on the current user densities. When the user densities change significantly, the proposed solutions can be re-executed to re-compute the optimal candidate locations for the ABSs, and hence the ABSs can be moved to their new candidate locations. Simulation results show that a 22% or more increase in the total received power can be achieved through the optimal placement of the Aerial BSs and that more than 60% users have more than 80% chance to have their individual received power increased.

AB - The ultra-dense deployment (UDD) of small cells in 5G and beyond to enhance capacity and data rate is promising, but since user densities continually change, the static deployment of small cells can lead to wastes of capital, the underutilization of resources, and user dissatisfaction. This work proposes the use of Aerial Base Stations (ABSs) wherein small cells are mounted on Unmanned Aerial Vehicles (UAVs), which can be deployed to a set of candidate locations. Furthermore, based on the current user densities, this work studies the optimal placement of the ABSs, at a subset of potential candidate positions, to maximize the total received power and signal-to-interference ratio. The problems of the optimal placement for increasing received power and signal-to-interference ratio are formulated, and optimal placement solutions are designed. The proposed solutions compute the optimal candidate locations for the ABSs based on the current user densities. When the user densities change significantly, the proposed solutions can be re-executed to re-compute the optimal candidate locations for the ABSs, and hence the ABSs can be moved to their new candidate locations. Simulation results show that a 22% or more increase in the total received power can be achieved through the optimal placement of the Aerial BSs and that more than 60% users have more than 80% chance to have their individual received power increased.

KW - 5G

KW - dynamic repositioning

KW - optimal positioning

KW - throughput maximization

KW - UAV network

KW - ultra-dense deployment

U2 - 10.3390/s23167098

DO - 10.3390/s23167098

M3 - Journal article

C2 - 37631635

AN - SCOPUS:85168720227

VL - 23

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 16

M1 - 7098

ER -