期刊
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 20, 期 2, 页码 926-941出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2020.3029225
关键词
Unmanned aerial vehicles; Trajectory; Backscatter; Wireless communication; Iterative methods; Radio frequency; Optimization; Backscatter communication; UAV communication; energy efficiency; trajectory design; resource optimization; iterative algorithm
资金
- National Key R&D Program of China [2018YFB1801105]
- National Natural Science Foundation of China [U1801261, 62071093, 61631005]
- Fundamental Research Funds for the Central Universities [ZYGX2019Z022]
- Programme of Introducing Talents of Discipline to Universities [B20064]
This paper investigates a UAV-assisted backscatter communication network, proposing a communicate-while-fly scheme to maximize energy efficiency and introducing an iterative algorithm for optimization. Simulation results demonstrate significant energy efficiency gains compared to traditional schemes.
Backscatter communication which enables wireless-powered backscatter devices (BDs) to transmit information by reflecting incident signals, is an energy- and cost-efficient communication technology for Internet-of-Things. This paper considers an unmanned aerial vehicle (UAV)-assisted backscatter communication network (UBCN) consisting of multiple BDs and carrier emitters (CEs) on the ground as well as a UAV. A communicate-while-fly scheme is first designed, in which the BDs illuminated by their associated CEs transmit information to the flying UAV in a time-division-multiple-access manner. Considering the critical issue of the UAV's limited on-board energy and the CEs' transmission energy, we maximize the energy efficiency (EE) of the UBCN by jointly optimizing the UAV's trajectory, the BDs' scheduling, and the CEs' transmission power, subject to the BDs' throughput constraints and harvested energy constraints, as well as other practical constraints. Furthermore, we propose an iterative algorithm based on the block coordinated decent method to solve the formulated mixed-integer non-convex problem, in each iteration of which the variables are alternatively optimized by leveraging the cutting-plane technique, the Dinkelbach's method and the successive convex approximation technique. Also, the convergence and complexity of the proposed algorithm are analyzed. Finally, simulation results show that the proposed communicate-while-fly scheme achieves significant EE gains compared with the hover-and-fly scheme, the state-of-the-art scheme, and the CE-relay scheme. Useful insights on the optimal trajectory design and resource allocation are also obtained.
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