Placement and Power Allocation for NOMA-UAV Networks

被引:137
|
作者
Liu, Xiaonan [1 ,2 ]
Wang, Jingjing [3 ]
Zhao, Nan [1 ,2 ]
Chen, Yunfei [4 ]
Zhang, Shun [2 ]
Ding, Zhiguo [5 ]
Yu, F. Richard [6 ]
机构
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
[3] Qingdao Univ Sci & Technol, Sch Informat Sci & Technol, Qingdao 266000, Shandong, Peoples R China
[4] Univ Warwick, Sch Engn, Coventry CV4 7AL, W Midlands, England
[5] Univ Manchester, Sch Elect & Elect Engn, Manchester M13 9PL, Lancs, England
[6] Carleton Univ, Dept Syst & Comp Engn, Ottawa, ON K1S 5B6, Canada
基金
中国国家自然科学基金; 英国工程与自然科学研究理事会; 欧盟地平线“2020”;
关键词
Placement optimization; non-orthogonal multiple access; power allocation; unmanned aerial vehicle;
D O I
10.1109/LWC.2019.2904034
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Unmanned aerial vehicles (UAVs) can be used as flying base stations to provide ubiquitous connections for mobile devices in over-crowded areas. On the other hand, non-orthogonal multiple access (NOMA) is a promising technique to support massive connectivity. In this letter, the placement and power allocation (PA) are jointly optimized to improve the performance of the NOMA-UAV network. Since the formulated joint optimization problem is non-convex, the location of the UAV is first optimized, with the total path loss from the UAV to users minimized. Then, the PA for NOMA is optimized using the optimal location of the UAV to maximize the sum rate of the network. Simulation results are presented to show the effectiveness and efficiency of the proposed scheme for NOMA-UAV networks.
引用
收藏
页码:965 / 968
页数:4
相关论文
共 50 条
  • [1] Robust Placement and Power Control for NOMA-UAV Networks
    Wang, Zhengqiang
    Zhang, Hao
    Liu, Yang
    Wan, Xiaoyu
    Fan, Zifu
    2022 IEEE 23RD INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE SWITCHING AND ROUTING (IEEE HPSR), 2022, : 107 - 112
  • [2] Power Allocation for Secure Transmission in Circular Trajectory NOMA-UAV Networks
    Chen, Xinying
    Zhao, Nan
    Chen, Yunfei
    Yang, Zhutian
    Ding, Zhiguo
    Yu, F. Richard
    2020 IEEE 31ST ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (IEEE PIMRC), 2020,
  • [3] Secure Transmission via Power Allocation in NOMA-UAV Networks With Circular Trajectory
    Chen, Xinying
    Yang, Zhutian
    Zhao, Nan
    Chen, Yunfei
    Wang, Jingjing
    Ding, Zhiguo
    Yu, F. Richard
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (09) : 10033 - 10045
  • [4] Resource Allocation for Multi-Cluster NOMA-UAV Networks
    Huang, Qiulei
    Wang, Wei
    Lu, Weidang
    Zhao, Nan
    Nallanathan, Arumugam
    Wang, Xianbin
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2022, 70 (12) : 8448 - 8459
  • [5] AdaptSky: A DRL Based Resource Allocation Framework in NOMA-UAV Networks
    Benfaid, Ahmed
    Adem, Nadia
    Khalfi, Bassem
    2021 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2021,
  • [6] Security Enhancement for NOMA-UAV Networks
    Zhao, Nan
    Li, Yanxin
    Zhang, Shun
    Chen, Yunfei
    Lu, Weidang
    Wang, Jingjing
    Wang, Xianbin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2020, 69 (04) : 3994 - 4005
  • [7] Transmit Power Minimization for IRS-Assisted NOMA-UAV Networks
    Zhao, Chen
    Pang, Xiaowei
    Tang, Jie
    Liu, Mingqian
    Zhao, Nan
    Zhang, Xiuyin
    Wang, Xianbin
    CHINA COMMUNICATIONS, 2024, 21 (05) : 137 - 152
  • [8] Transmit Power Minimization for IRS-Assisted NOMA-UAV Networks
    Zhao Chen
    Pang Xiaowei
    Tang Jie
    Liu Mingqian
    Zhao Nan
    Zhang Xiuyin
    Wang Xianbin
    China Communications, 2024, 21 (05) : 137 - 152
  • [9] Utilizing Deep Reinforcement Learning for Optimal UAV 3D Placement in NOMA-UAV Networks
    Ghomri, Benmeziane Imad-Ddine
    Bendimerad, Mohammed Yassine
    Bendimerad, Fethi Tarik
    PROGRAM OF THE 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND AUTOMATIC CONTROL, ICEEAC 2024, 2024,
  • [10] Adaptive Reinforcement Learning Framework for NOMA-UAV Networks
    Mahmud, Syed Khurram
    Liu, Yuanwei
    Chen, Yue
    Chai, Kok Keong
    IEEE COMMUNICATIONS LETTERS, 2021, 25 (09) : 2943 - 2947