Providing wireless coverage in massively crowded events using UAVs
Antennas; Base stations; Unmanned aerial vehicles (UAV); Cellular network; Ground paths; Indoor path loss; Innovative solutions; k-Means algorithm; PSO algorithms; Search Algorithms; Wireless coverage; Particle swarm optimization (PSO)
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Institute of Electrical and Electronics Engineers Inc.
2023
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my.uniten.dspace-238772023-05-29T14:52:41Z Providing wireless coverage in massively crowded events using UAVs Sawalmeh A. Othman N.S. Shakhatreh H. Khreishah A. 57194440590 56426823300 57193610106 24776009900 Antennas; Base stations; Unmanned aerial vehicles (UAV); Cellular network; Ground paths; Indoor path loss; Innovative solutions; k-Means algorithm; PSO algorithms; Search Algorithms; Wireless coverage; Particle swarm optimization (PSO) Al-Hajj or pilgrimage is one of the biggest special events in the world; millions of pilgrims visit Mecca every year to perform the rituals of Hajj. The main challenge in this event is the huge number of pilgrims; therefore, terrestrial base stations overloading happen and it is not possible to provide a wireless coverage to all pilgrims. An innovative solution to manage this problem is to use Unmanned Aerial Vehicles (UAVs) as an aerial base stations to assist terrestrial cellular networks. In Al-Hajj, there are two types of users, indoor and outdoor users. In this paper, we propose using UAVs to provide wireless coverage for all users simultaneously in massively crowded events (such as pilgrimage). The existing Air to Ground and Outdoor-to-Indoor path loss models are utilized to study the problem of UAV placement with objective of minimizing the UAV transmit power. In order to find an efficient placement for UAV, we use Particle Swarm Optimization (PSO) and K-means with ternary search (KTS) algorithms. The simulation results show that the PSO algorithm provides better performance compared to KTS algorithm in finding the efficient UAV placement. More specifically, the employment of PSO algorithm requires less than transmit power by a factor of 5x compared to the KTS algorithm. � 2017 IEEE. Final 2023-05-29T06:52:41Z 2023-05-29T06:52:41Z 2018 Conference Paper 10.1109/MICC.2017.8311751 2-s2.0-85050601259 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050601259&doi=10.1109%2fMICC.2017.8311751&partnerID=40&md5=d6e34c93c304aad1b4ab98cd66b120b3 https://irepository.uniten.edu.my/handle/123456789/23877 2017-November 158 163 Institute of Electrical and Electronics Engineers Inc. Scopus |
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| description |
Antennas; Base stations; Unmanned aerial vehicles (UAV); Cellular network; Ground paths; Indoor path loss; Innovative solutions; k-Means algorithm; PSO algorithms; Search Algorithms; Wireless coverage; Particle swarm optimization (PSO) |
| author2 |
57194440590 |
| author_facet |
57194440590 Sawalmeh A. Othman N.S. Shakhatreh H. Khreishah A. |
| format |
Conference Paper |
| author |
Sawalmeh A. Othman N.S. Shakhatreh H. Khreishah A. |
| spellingShingle |
Sawalmeh A. Othman N.S. Shakhatreh H. Khreishah A. Providing wireless coverage in massively crowded events using UAVs |
| author_sort |
Sawalmeh A. |
| title |
Providing wireless coverage in massively crowded events using UAVs |
| title_short |
Providing wireless coverage in massively crowded events using UAVs |
| title_full |
Providing wireless coverage in massively crowded events using UAVs |
| title_fullStr |
Providing wireless coverage in massively crowded events using UAVs |
| title_full_unstemmed |
Providing wireless coverage in massively crowded events using UAVs |
| title_sort |
providing wireless coverage in massively crowded events using uavs |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2023 |
| _version_ |
1806425773679050752 |