proceeding

3D Placement of UAV-Base Station Assisting Terrestrial System based on Adaptive Particle Swarm Optimization

Tung Duong TranDepartment of Telecommunication networks, The Bonch Bruevich Saint Petersburg State University of Telecommunications, Saint Petersburg, Russian FederationAmmar MuthannaDepartment of Telecommunication networks, The Bonch Bruevich Saint Petersburg State University of Telecommunications, Saint Petersburg, Russian FederationAndrey KoucheryavyDepartment of Telecommunication networks, The Bonch Bruevich Saint Petersburg State University of Telecommunications, Saint Petersburg, Russian FederationAhmed AzizEngineering School, Central Asian University, Tashkent, Uzbekistan

2024en

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ABI

Annotatsiya

This paper considers the problem of deploying Unmanned Aerial Vehicle as flying base stations (UAV-BS) to support terrestrial communications networks, where the number of users is larger than the current terrestrial system can serve.The main goal of this work is to determine the 3D placement of UAV-BSs with minimize number of UAV-BSs while still satisfying the service requirements of users.However, this is an NP-hard problem, so we propose to use Adaptive Particle Swarm Optimization (APSO) to solve the problem.Simulation results show that the proposed algorithm achieves high coverage rates in environments with different user distributions.

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Identifikatorlar

DOI: 10.1145/3726122.3726262

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