User Scheduling and Trajectory Optimization for Energy-Efficient IRS-UAV Networks With SWIPT

被引:18
|
作者
Zargari, S. [1 ]
Hakimi, A. [1 ]
Tellambura, C. [1 ]
Herath, S. [2 ]
机构
[1] Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 1H9, Canada
[2] Ottawa Wireless Adv Syst Competency Ctr, Huawei Canada, Ottawa, ON K2K 3J1, Canada
关键词
Autonomous aerial vehicles; Energy efficiency; Wireless communication; Energy consumption; Simultaneous wireless information and power transfer; Reflection; Costs; Intelligent reflecting surface (IRS); unmanned aerial vehicle (UAV); simultaneous wireless information and power transfer (SWIPT); PASSIVE BEAMFORMING DESIGN; MISO PS-SWIPT; RESOURCE-ALLOCATION; INTELLIGENT; SURFACES; SYSTEMS;
D O I
10.1109/TVT.2022.3207700
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper investigates user scheduling and trajectory optimization for a network supported by an intelligent reflecting surface (IRS) mounted on an unmanned aerial vehicle (UAV). The IRS is powered via the simultaneous wireless information and power transfer (SWIPT) technique. The IRS boosts users uplink signals to improve the network longevity and energy efficiency. It simultaneously harvests energy with a non-linear energy harvesting circuit and reflects the incident signals by controlling its reflection coefficients and phase shifts. The trajectory of the UAV impacts the efficiency of these operations. We minimize the maximum energy consumption of all users by joint optimization of user scheduling, UAV trajectory/velocity, and IRS phase shifts/reflection coefficients while guaranteeing each user minimum required data rate and harvested energy of the IRS. We first derive a closed-form solution for the IRS phase shifts and then address the non-convexity of the critical problem. Finally, we propose an alternating optimization (AO) algorithm to optimize the remaining variables iteratively. We demonstrate the gains over several benchmarks. For instance, with a 50-element IRS, min-max energy consumption can be as low as 0.0404 (Joule), a 7.13% improvement over the No IRS case (achieving 0.0435 (Joule)). We also show that IRS-UAV without EH performs best at the cost of circuit power consumption of the IRS (a 20% improvement over the No IRS case).
引用
收藏
页码:1815 / 1830
页数:16
相关论文
共 50 条
  • [21] Joint Resource Allocation and Trajectory Design for Energy-Efficient UAV Assisted Networks With User Fairness Guarantee
    Wang, Jing
    Zhang, Haixia
    Zhou, Xiaotian
    Liu, Wenjie
    Yuan, Dongfeng
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (13): : 23835 - 23849
  • [22] Energy-Efficient Scheduling in UAV-Assisted Hierarchical Wireless Sensor Networks
    Lai, Rui
    Zhang, Boyuan
    Gong, Guanghong
    Yuan, Haitao
    Yang, Jinhong
    Zhang, Jia
    Zhou, MengChu
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (11): : 20194 - 20206
  • [23] UAV-Aided Energy-Efficient Edge Computing Networks: Security Offloading Optimization
    Gu, Xiaohui
    Zhang, Guoan
    Wang, Mingxing
    Duan, Wei
    Wen, Miaowen
    Ho, Pin-Han
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (06) : 4245 - 4258
  • [24] Deep Reinforcement Learning for Energy-Efficient Data Dissemination Through UAV Networks
    Ali, Abubakar S.
    Al-Habob, Ahmed A.
    Naser, Shimaa
    Bariah, Lina
    Dobre, Octavia A.
    Muhaidat, Sami
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 5567 - 5583
  • [25] Offline-Online Design for Energy-Efficient IRS-Aided UAV Communications
    Wang, Tianhao
    Pang, Xiaowei
    Liu, Mingqian
    Zhao, Nan
    Nallanathan, Arumugam
    Wang, Xianbin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (02) : 2942 - 2947
  • [26] Energy-Efficient 3D Trajectory Optimization for UAV-Aided Wireless Sensor Networks
    Ma, Yue
    Tang, Yanqun
    Mao, Zhongjun
    Zhang, Di
    Yang, Chao
    Li, Wei
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 6591 - 6596
  • [27] Energy-efficient Optimization for IRS-assisted Wireless-powered Communication Networks
    Wang, Qianzhu
    Gao, Zhengnian
    Xu, Yongjun
    Xie, Hao
    2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
  • [28] Resource Management and Trajectory Optimization for UAV-IRS Assisted Maritime Edge Computing Networks
    Zhang, Chaoyue
    Lin, Bin
    Hu, Xu
    Qi, Shuang
    Qian, Liping
    Wu, Yuan
    TSINGHUA SCIENCE AND TECHNOLOGY, 2025, 30 (04): : 1600 - 1616
  • [29] Energy-Efficient Coordinated User Scheduling and Power Control in Downlink Multi-cell OFDMA Networks
    Venturino, L.
    Risi, C.
    Buzzi, S.
    Zappone, A.
    2013 IEEE 24TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2013, : 1655 - 1659
  • [30] Energy-Efficient UAV Trajectory Planning for Data Collection and Computation in mMTC Networks
    Zhu, Kaiyu
    Xu, Xiaodong
    Han, Shujun
    2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2018,