UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells
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...
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| Published in | IEEE transactions on vehicular technology Vol. 67; no. 7; pp. 6732 - 6736 |
|---|---|
| Main Authors | , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
New York
IEEE
01.07.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects | |
| Online Access | Get full text |
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| 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 correspondence, 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. |
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| AbstractList | 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 correspondence, 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. |
| Author | Zhao, Nan Leung, Victor C. M. Zhang, Shun Li, Zan Cheng, Fen Chen, Yunfei Yu, F. Richard |
| Author_xml | – sequence: 1 givenname: Fen orcidid: 0000-0001-8926-4675 surname: Cheng fullname: Cheng, Fen email: chengfen@mail.dlut.edu.cn organization: School of Information and Communication Engineering, Dalian University of Technology, Dalian, China – sequence: 2 givenname: Shun surname: Zhang fullname: Zhang, Shun email: zhangshunsdu@xidian.edu.cn organization: State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China – sequence: 3 givenname: Zan orcidid: 0000-0002-5207-6504 surname: Li fullname: Li, Zan email: zanli@xidian.edu.cn organization: State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China – sequence: 4 givenname: Yunfei orcidid: 0000-0001-8083-1805 surname: Chen fullname: Chen, Yunfei email: Yunfei.Chen@warwick.ac.uk organization: School of Engineering, University of Warwick, Coventry, U.K – sequence: 5 givenname: Nan orcidid: 0000-0002-6497-7799 surname: Zhao fullname: Zhao, Nan email: zhaonan@dlut.edu.cn organization: School of Information and Communication Engineering, Dalian University of Technology, Dalian, China – sequence: 6 givenname: F. Richard orcidid: 0000-0003-1006-7594 surname: Yu fullname: Yu, F. Richard email: richard.yu@carleton.ca organization: Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada – sequence: 7 givenname: Victor C. M. orcidid: 0000-0003-3529-2640 surname: Leung fullname: Leung, Victor C. M. email: vleung@ece.ubc.ca organization: Department of Electrical and Computer Engineering, The University of British Columbia, Vancouver, Canada |
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| SubjectTerms | Computer simulation Data offloading Electronic mail Interference interference avoidance Iterative algorithms Military technology Radio equipment Scheduling Trajectory optimization unmanned aerial vehicle (UAV) Unmanned aerial vehicles Wireless networks |
| Title | UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells |
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