Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off
An unmanned aerial vehicle-mounted base station (UAV-BS), also known as an aerial base station (ABS), is a viable technology for the next 6G wireless networks due to its adaptability and affordability. Furthermore, the concept of tethered UAVs (TUAVs), can be used to circumvent the limited network o...
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| Format: | Article |
| Language: | English |
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IEEE
2023-01-01
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| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10278213/ |
| _version_ | 1797644879758622720 |
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| author | Safa Khemiri Mustafa A. Kishk Mohamed-Slim Alouini |
| author_facet | Safa Khemiri Mustafa A. Kishk Mohamed-Slim Alouini |
| author_sort | Safa Khemiri |
| collection | DOAJ |
| description | An unmanned aerial vehicle-mounted base station (UAV-BS), also known as an aerial base station (ABS), is a viable technology for the next 6G wireless networks due to its adaptability and affordability. Furthermore, the concept of tethered UAVs (TUAVs), can be used to circumvent the limited network operating time of UAV-BS networks. TUAVs are UAVs powered by a ground energy source via a tether that restrain their mobility while providing unlimited power. In this work, we propose a system where ABSs are deployed in user hotspots to offload the traffic and assist terrestrial base stations (TBSs). We will analyze three different scenarios and compare them in terms of coverage performance and energy efficiency. For a more realistic system, we offer a system model that considers the dynamic spatial distribution of users. First of all, we start by determining the optimal locations of TUAVs that minimize the average pathloss for each scenario. Next, using tools from stochastic geometry and an approach of dividing the space into concentric rings and slices to quantify the locations and orientations of ground stations (GSs), we analyze both coverage and energy performance for each scenario. We verify our findings using Monte-Carlo simulations and draw multiple useful insights. For instance, we show that deploying a TUAV with attachment and detachment capability for each pair of clusters outperforms deploying a normal TUAV for each cluster in terms of energy efficiency but not in terms of coverage performance. |
| first_indexed | 2024-03-11T14:37:48Z |
| format | Article |
| id | doaj.art-2bc670274d3c483fa1f080bf4b0931da |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-03-11T14:37:48Z |
| publishDate | 2023-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-2bc670274d3c483fa1f080bf4b0931da2023-10-30T23:01:19ZengIEEEIEEE Open Journal of the Communications Society2644-125X2023-01-0142561257710.1109/OJCOMS.2023.332367610278213Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-OffSafa Khemiri0https://orcid.org/0009-0000-9724-7146Mustafa A. Kishk1https://orcid.org/0000-0001-7518-2783Mohamed-Slim Alouini2https://orcid.org/0000-0003-4827-1793CEMSE Division, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaDepartment of Electronic Engineering, Maynooth University, Maynooth, IrelandCEMSE Division, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaAn unmanned aerial vehicle-mounted base station (UAV-BS), also known as an aerial base station (ABS), is a viable technology for the next 6G wireless networks due to its adaptability and affordability. Furthermore, the concept of tethered UAVs (TUAVs), can be used to circumvent the limited network operating time of UAV-BS networks. TUAVs are UAVs powered by a ground energy source via a tether that restrain their mobility while providing unlimited power. In this work, we propose a system where ABSs are deployed in user hotspots to offload the traffic and assist terrestrial base stations (TBSs). We will analyze three different scenarios and compare them in terms of coverage performance and energy efficiency. For a more realistic system, we offer a system model that considers the dynamic spatial distribution of users. First of all, we start by determining the optimal locations of TUAVs that minimize the average pathloss for each scenario. Next, using tools from stochastic geometry and an approach of dividing the space into concentric rings and slices to quantify the locations and orientations of ground stations (GSs), we analyze both coverage and energy performance for each scenario. We verify our findings using Monte-Carlo simulations and draw multiple useful insights. For instance, we show that deploying a TUAV with attachment and detachment capability for each pair of clusters outperforms deploying a normal TUAV for each cluster in terms of energy efficiency but not in terms of coverage performance.https://ieeexplore.ieee.org/document/10278213/Wireless communicationtethered unmanned aerial vehicles (TUAV)optimal deploymentcoverage probabilityenergy efficiencystochastic geometry |
| spellingShingle | Safa Khemiri Mustafa A. Kishk Mohamed-Slim Alouini Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off IEEE Open Journal of the Communications Society Wireless communication tethered unmanned aerial vehicles (TUAV) optimal deployment coverage probability energy efficiency stochastic geometry |
| title | Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off |
| title_full | Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off |
| title_fullStr | Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off |
| title_full_unstemmed | Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off |
| title_short | Tethered UAV Deployment Strategies: The Coverage and Energy Efficiency Trade-Off |
| title_sort | tethered uav deployment strategies the coverage and energy efficiency trade off |
| topic | Wireless communication tethered unmanned aerial vehicles (TUAV) optimal deployment coverage probability energy efficiency stochastic geometry |
| url | https://ieeexplore.ieee.org/document/10278213/ |
| work_keys_str_mv | AT safakhemiri tethereduavdeploymentstrategiesthecoverageandenergyefficiencytradeoff AT mustafaakishk tethereduavdeploymentstrategiesthecoverageandenergyefficiencytradeoff AT mohamedslimalouini tethereduavdeploymentstrategiesthecoverageandenergyefficiencytradeoff |