Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (2): 312-321.doi: 10.23919/JSEE.2022.000032

• ELECTRONICS TECHNOLOGY • Previous Articles     Next Articles

Energy efficiency maximization for buffer-aided multi-UAV relaying communications

Dongju CAO1(), Wendong YANG1,*(), Hui CHEN1(), Yang WU1(), Xuanxuan TANG2()   

  1. 1 College of Communications Engineering, Army Engineering University of PLA, Nanjing 210007, China
    2 Radar Non-commissioned Officer School, Air Force Early Warning Academy, Wuhan 430019, China
  • Received:2020-08-28 Accepted:2021-12-06 Online:2022-05-06 Published:2022-05-06
  • Contact: Wendong YANG E-mail:caodongj@163.com;ywd1110@163.com;huiczj@126.com;wuyang0710@163.com;tang_xx@126.com
  • About author:|CAO Dongju was born in 1996. She received her B.S. degree in electronic information engineering from Yancheng Institute of Technology, Yancheng, China, in 2018. She is currently working toward her M.S. degree in College of Communication Engineering, Army Engineering University of PLA, Nanjing, China. Her current research interests include cooperative communications, UAV communications and convex optimization techniques. E-mail: caodongj@163.com||YANG Wendong was born in 1981. He received his B.S. degree in communications engineering and Ph.D. degree in communications and information systems both from College of Communications Engineering, PLA University of Science and Technology, Nanjing, China in 2004 and 2009 respectively. Since 2009, he has been with the College of Communications Engineering, PLA University of Science and Technology. His current research interests include MIMO systems, OFDM systems, cooperative communications, and cognitive radio. E-mail: ywd1110@163.com||CHEN Hui was born in 1974. He received his B.S. degree in communications engineering and M.S. degree in communications and information systems both from College of Communications Engineering, Nanjing, China in 1995 and 1999 respectively. Since 2017, he has been with College of Communications Engineering, Army Engineering University of PLA. His current research interests include cloud computing, big data application, information security, and network systems engineering. E-mail: huiczj@126.com||WU Yang was born in 1989. He received his B.S and M.S. degrees from the PLA University of Science and Technology in 2012 and 2015 respectively. He is currently pursuing his Ph.D. degree in cyberspace security in Institute of Communications Engineering, Army Engineering University of PLA. His research interests include physical layer security, UAV communication and convex optimization. E-mail: wuyang0710@163.com||TANG Xuanxuan was born in 1991. He received his B.S. degree in communication engineering from the College of Communications Engineering, PLA University of Science and Technology, Nanjing, China, in 2014, and his Ph.D. degree in information and communication engineering from the College of Communications Engineering, Army Engineering University of PLA, Nanjing, China, in 2019. His current research interests include cooperative communications, wireless sensor networks, Internet of Things, physical layer security, and energy harvesting systems. E-mail: tang_xx@126.com
  • Supported by:
    This work was supported by the National Natural Science Foundation of China (61671474)

Abstract:

This paper studies a multiple unmanned aerial vehicle (UAV) relaying communication system, where multiple UAV relays assist the blocked communication between a group of ground users (GUs) and a base station (BS). Since the UAVs only have limited-energy in practice, our design aims to maximize the energy efficiency (EE) through jointly designing the communication scheduling, the transmit power allocation, as well as UAV trajectory under the buffer constraint over a given flight period. Actually, the formulated fractional optimization problem is difficult to be solved in general because of non-convexity. To resolve this difficulty, an efficient iterative algorithm is proposed based on the block coordinate descent (BCD) and successive convex approximation (SCA) techniques, as well as the Dinkelbach’s algorithm. Specifically, the optimization variables of the formulated problem are divided into three blocks and we alternately optimize each block of the variables over iteration. Numerical results verify the convergence of the proposed iterative algorithm and show that the proposed designs achieve significant EE gain, which outperform other benchmark schemes.

Key words: unmanned aerial vehicle (UAV) relay, buffer aided, communication scheduling, transmit power allocation, UAV trajectory, energy efficiency (EE)