Abstract
Unmanned aerial vehicle (UAV) carried base stations can provide on-demand deployment for ground users. Given a target area to be serviced, this letter proposes a three-dimensional (3D) deployment method for multiple UAVs based on the knowledge of statistical user position information to maximize the total network throughput. The 3D deployment problem is divided into horizontal deployment problem and vertical deployment problem. Specifically, a virtual force field is built based on the statistical user distributions to help model the communication demand of users. Based on that, the horizontal placement scheme for each UAV is obtained by calculating the force balance points in the virtual field. The classical particle swarm optimization algorithm is adopted to determine the vertical coordinates of UAVs. In order to demonstrate the validity of the proposed algorithm, we also evaluate it through comparison with benchmark algorithms on a real-world telecommunication dataset. Experimental results show that the throughput performance can be improved by the proposed method compared with those benchmark schemes.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
