Energy-Efficient Optimization of Multi-UAV Assisted Smart Grids Networks

被引:0
|
作者
Nian, Zhongyuan [1 ]
Tian, Jingxue [2 ]
Lu, Xu [3 ]
Wang, Hua [1 ]
Zhang, Heli [2 ]
Mu, Chunfang [1 ]
Li, Yang [2 ]
机构
[1] Information & Telecommunication Branch Company, State Grid Corporation of China, Inner Mongolia, Hohhot,010010, China
[2] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing,100876, China
[3] Power Dispatching & Control Center, State Grid Corporation of China, Inner Mongolia, Hohhot,010010, China
关键词
Aerial vehicle - Cellular offloading - Cellulars - Communication performance - Deployment strategy - Energy - Multi-unmanned aerial vehicle deployment strategy - Smart grid - Unmanned aerial vehicle;
D O I
10.53106/199115992024103505009
中图分类号
学科分类号
摘要
Unmanned aerial vehicles (UAVs) are increasingly being deployed in wireless communication systems to assist with traffic offloading services because of their high flexibility and mobility. In traditional cellular networks, communication performance often degrades at the cell edges during high-demand periods when base stations are overloaded. So UAVs can serve as aerial base stations to enhance communication performance in such hotspots. However, there is a challenge of limited energy capacity and insufficient computing capabilities. This paper focuses on maximizing the energy efficiency of aerial base stations (ABS) by optimizing the number of UAVs, the division of users and the allocation of bandwidth. We explore two UAV deployment strategies: multi-UAV hovering and multi-UAV cruising. Our simulation results reveal that the cruise deployment strategy nearly doubles the energy efficiency compared to the hovering strategy, provided that the number and flight speed of the UAVs are appropriately managed. This result provides an effective solution for the energy efficiency optimization of multi-UAV in communications hotspots. © 2024 Codon Publications. All rights reserved.
引用
收藏
页码:123 / 134
相关论文
共 50 条
  • [31] Intelligent Energy-Efficient Resource Allocation for Multi-UAV-Assisted Mobile Edge Computing Networks
    Hu Han
    Shen Le
    Zhou Fuhui
    Wang Qun
    Zhu Hongbo
    China Communications, 2025, 22 (04) : 339 - 355
  • [32] Efficient deployment of multi-UAV assisted mobile edge computing: A cost and energy perspective
    Xu, Fei
    Zhang, Zhuoya
    Feng, Jianqiang
    Qin, Zengshi
    Xie, Yue
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2022, 33 (05)
  • [33] Joint Optimization of Trajectory and Frequency in Energy Constrained Multi-UAV Assisted MEC System
    Xu, Zhuohan
    Yang, YanPing
    Shi, Bing
    SERVICE-ORIENTED COMPUTING (ICSOC 2022), 2022, 13740 : 422 - 429
  • [34] Three-Dimensional Multi-UAV Placement and Resource Allocation for Energy-Efficient IoT Communication
    Nouri, Nima
    Abouei, Jamshid
    Sepasian, Ali Reza
    Jaseemuddin, Muhammad
    Anpalagan, Alagan
    Plataniotis, Konstantinos N.
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (03) : 2134 - 2152
  • [35] Resource optimization for energy-efficient NOMA-based multi-UAV-enabled relaying networks
    Hu, Hang
    An, Qi
    Huang, Yangchao
    Gu, Ranran
    Zhao, Senhao
    Liu, Shihao
    IET COMMUNICATIONS, 2023, 17 (11) : 1288 - 1299
  • [36] Energy Efficient Task Cooperation for Multi-UAV Networks: A Coalition Formation Game Approach
    Luan, Heyu
    Xu, Yitao
    Liu, Dianxiong
    Du, Zhiyong
    Qian, Huiming
    Liu, Xiaodu
    Tong, Xiaobing
    IEEE ACCESS, 2020, 8 : 149372 - 149384
  • [37] 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
  • [38] System Cost Minimization in Multi-UAV Assisted Wireless Networks
    Geng, Shengqi
    Zhao, Jian
    Sun, Sumei
    ICC 2024 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2024, : 397 - 402
  • [39] Secure and Energy-Efficient Multicast Routing in Smart Grids
    Alohali, Bashar Ahmed
    Vassialkis, Vassilios G.
    2015 IEEE TENTH INTERNATIONAL CONFERENCE ON INTELLIGENT SENSORS, SENSOR NETWORKS AND INFORMATION PROCESSING (ISSNIP), 2015,
  • [40] On Multi-Task Learning for Energy Efficient Task Offloading in Multi-UAV Assisted Edge Computing
    Poursiami, Hamed
    Jabbari, Bijan
    2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024, 2024,