Energy-efficiency maximization for fixed-wing UAV-enabled relay network with circular trajectory

被引:0
作者
Chenxiao XIE
Xin-Lin HUANG
机构
[1] DepartmentofInformationandCommunicationEngineering,TongjiUniversity
关键词
D O I
暂无
中图分类号
TN92 [无线通信]; V19 [航空、航天的应用];
学科分类号
080402 ; 080904 ; 0810 ; 081001 ;
摘要
With the development of Unmanned Aerial Vehicles(UAVs), the applications of UAVs have been extensively explored. In the field of wireless communications, the relay nodes are often used to extend network coverage. However, traditional fixed ground relays cannot be flexibly deployed due to their low heights and fixed locations. Hence, deploying UAV as relay node is a promising solution and has become a research hotspot. In this paper, we consider an UAVenabled relaying network in which a fixed-wing UAV is deployed between the Base Station(BS)and Ground Users(GUs). We study the energy-efficiency gap between the link ‘‘BS-UAV-GUs”and the link ‘‘BS-GUs”, and jointly optimize UAV relay transmission power and flight radius to achieve the highest energy-efficiency. Firstly, the UAV/BS-GUs channels models and the UAV energy consumption model are built. Secondly, the optimization objective function is formulated to maximize the energy-efficiency gap. Then, the solution of the optimization problem is divided into a two-step iteration process, in which the UAV relay transmission power and flight radius are adjusted to maximize the energy-efficiency gap. Finally, the experimental results under different simulation scenarios(such as cities, forests, deserts, oceans, etc.) are shown to illustrate the effectiveness of the proposed algorithm. The results show that the proposed algorithm can always find the optimal UAV relay transmission power and flight radius settings, and achieve the largest energy-efficiency gap. The convergency speed of the proposed algorithm is fast, and can obtain the optimal solution within only a few iterations.
引用
收藏
页码:71 / 80
页数:10
相关论文
共 9 条
  • [1] QoE-Driven UAV-Enabled Pseudo-Analog Wireless Video Broadcast: A Joint Optimization of Power and Trajectory[J] Xiao Wei Tang;Xin Lin Huang;Fei Hu IEEE Transactions on Multimedia 2020,
  • [2] Optimal Placement of UAV-Assisted Free-Space Optical Communication Systems With DF Relaying[J] Dabiri Mohammad Taghi;Sadough Seyed Mohammad Sajad IEEE Communications Letters 2020,
  • [3] Energy-Efficient UAV-to-User Scheduling to Maximize Throughput in Wireless Networks[J] Ahmed Shakil;Chowdhury Mostafa Zaman;Jang Yeong Min IEEE Access 2020,
  • [4] Energy Tradeoff in Ground-to-UAV Communication via Trajectory Design[J] Yang Dingcheng;Wu Qingqing;Zeng Yong;Zhang Rui IEEE Transactions on Vehicular Technology 2018,
  • [5] Joint Trajectory and Power Optimization for UAV Relay Networks[J] Zhang Shuhang;Zhang Hongliang;He Qichen;Bian Kaigui;Song Lingyang IEEE Communications Letters 2018,
  • [6] Throughput Maximization for UAV-Enabled Mobile Relaying Systems.[J] Yong Zeng 0001;Rui Zhang 0006;Teng Joon Lim IEEE Trans. Communications 2016,
  • [7] Modeling of UWB Channel With Population Density in Indoor LOS Environments[J] Kim Young Hoon;Lee Jae Hyun;Kim Seong Cheol IEEE Antennas and Wireless Propagation Letters 2016,
  • [8] Wireless Communications with Unmanned Aerial Vehicles: Opportunities and Challenges.[J] Yong Zeng 0001;Rui Zhang 0006;Teng Joon Lim CoRR 2016,
  • [9] Probabilistic Omnidirectional Path Loss Models for Millimeter-Wave Outdoor Communications.[J] Mathew K. Samimi;Theodore S. Rappaport;George R. MacCartney IEEE Wireless Commun. Letters 2015,