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UAV trajectory optimization for data offloading at the edge of multiple cells
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Cheng, Fen, Zhang, Shun, Li, Zan, Chen, Yunfei, Zhao, Nan, Yu, F. Richard and Leung, Victor C. M. (2018) UAV trajectory optimization for data offloading at the edge of multiple cells. IEEE Transactions on Vehicular Technology, 67 (7). pp. 6732-6736. doi:10.1109/TVT.2018.2811942 ISSN 0018-9545.
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WRAP-UAV-trajectory-optimization-data-offloading-edge-multiple-cells-Chen-2018.pdf - Accepted Version - Requires a PDF viewer. Download (574Kb) | Preview |
Official URL: https://doi.org/10.1109/TVT.2018.2811942
Abstract
In future mobile networks, it is difficult for static base stations (BSs) to support the rapidly increasing data services, especially for cell-edge users. Unmanned aerial vehicle (UAV) is a promising method that can assist BSs to offload the data traffic, due to its high mobility and flexibility. In this paper, we focus on the UAV trajectory at the edges of three adjacent cells to offload traffic for BSs. In the proposed scheme, the sum rate of UAV served edge users is maximized subject to the rate requirements for all the users, by optimizing the UAV trajectory in each flying cycle. The optimization is a mixed-integer nonconvex problem, which is difficult to solve. Thus, it is transformed into two convex problems, and an iterative algorithm is proposed to solve it by optimizing the UAV trajectory and edge user scheduling alternately. Simulation results are presented to show the effectiveness of the proposed scheme.
Item Type: | Journal Article | |||||||||||||||||||||
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Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||||||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | |||||||||||||||||||||
Library of Congress Subject Headings (LCSH): | Mobile communication systems, Drone aircraft, Trajectory optimization, Electromagnetic interference | |||||||||||||||||||||
Journal or Publication Title: | IEEE Transactions on Vehicular Technology | |||||||||||||||||||||
Publisher: | IEEE | |||||||||||||||||||||
ISSN: | 0018-9545 | |||||||||||||||||||||
Official Date: | July 2018 | |||||||||||||||||||||
Dates: |
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Volume: | 67 | |||||||||||||||||||||
Number: | 7 | |||||||||||||||||||||
Page Range: | pp. 6732-6736 | |||||||||||||||||||||
DOI: | 10.1109/TVT.2018.2811942 | |||||||||||||||||||||
Status: | Peer Reviewed | |||||||||||||||||||||
Publication Status: | Published | |||||||||||||||||||||
Access rights to Published version: | Restricted or Subscription Access | |||||||||||||||||||||
Date of first compliant deposit: | 2 March 2018 | |||||||||||||||||||||
Date of first compliant Open Access: | 5 March 2018 | |||||||||||||||||||||
RIOXX Funder/Project Grant: |
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