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Providing wireless coverage in massively crowded events using UAVs

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dc.citedby14
dc.contributor.authorSawalmeh A.en_US
dc.contributor.authorOthman N.S.en_US
dc.contributor.authorShakhatreh H.en_US
dc.contributor.authorKhreishah A.en_US
dc.contributor.authorid57194440590en_US
dc.contributor.authorid56426823300en_US
dc.contributor.authorid57193610106en_US
dc.contributor.authorid24776009900en_US
dc.date.accessioned2023-05-29T06:52:41Z
dc.date.available2023-05-29T06:52:41Z
dc.date.issued2018
dc.descriptionAntennas; 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)en_US
dc.description.abstractAl-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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/MICC.2017.8311751
dc.identifier.epage163
dc.identifier.scopus2-s2.0-85050601259
dc.identifier.spage158
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85050601259&doi=10.1109%2fMICC.2017.8311751&partnerID=40&md5=d6e34c93c304aad1b4ab98cd66b120b3
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23877
dc.identifier.volume2017-November
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017
dc.titleProviding wireless coverage in massively crowded events using UAVsen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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