Flight Direction-Based Handover in Cellular-Connected UAV Communications

被引:0
|
作者
Lai L. [1 ]
Zheng F. [1 ]
Luo J. [1 ]
机构
[1] School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen
关键词
Antennas; Autonomous aerial vehicles; Cellular-connected UAV communications; flight angle; Gain; handover; Handover; Long short term memory; Long Term Evolution; LSTM; RSRP; Three-dimensional displays;
D O I
10.1109/TVT.2024.3419225
中图分类号
学科分类号
摘要
Cellular-connected <italic>unmanned aerial vehicle</italic> (UAV) communication is a key solution to allow UAV to be connected far beyond the normal point-to-point line of sight range. However, with the down-tilted <italic>base station</italic> (BS) antennas in most current cellular systems, the UAVs may be served by the sidelobes with a high probability and suffer significant handover delay. It is challenging to provide seamless low latency connectivity for such UAV systems. In this paper, we propose a flight direction-based handover scheme in cellular-connected UAV communications to reduce the handover rate. Specifically, the &#x2018;flight angle&#x2019; of the UAV is reflected in the change rate of <italic>reference signal received power</italic> (RSRP). When the handover triggering condition is met during the time to trigger (TTT), we adopt the <italic>long short-term memory</italic> (LSTM) network to predict the RSRP in future slots. Then, the change rate in RSRP and the RSRP threshold can be used to make the handover decision. Simulation results show that the proposed handover scheme can significantly reduce the handover rate with a relatively small drop in RSRP, especially in the case of larger antenna arrays. IEEE
引用
收藏
页码:1 / 6
页数:5
相关论文
共 50 条
  • [1] Fuzzy Logic Based Handover Under Multi-Connectivity in Cellular-Connected UAV Communications
    Lai, Lifeng
    Zheng, Fu-Chun
    Luo, Jingjing
    Feng, Daquan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (09) : 13926 - 13931
  • [2] An Improved Q-Learning Based Handover Scheme in Cellular-Connected UAV Network
    Zhong, Jihai
    Zhang, Li
    Serugunda, Jonathan
    Gautam, Prabhat Raj
    Mugala, Sheila
    2022 25TH INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2022,
  • [3] On the End-to-End Latency of Cellular-Connected UAV Communications
    Zhu, Hong
    Rodriguez-Pineiro, Jose
    Huang, Zeyu
    Dominguez-Bolano, Tomas
    Cai, Xuesong
    Yin, Xuefeng
    Lee, Juyul
    Matolak, David
    2021 15TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2021,
  • [4] Handover Challenges for Cellular-Connected Drones
    Fakhreddine, Aymen
    Bettstetter, Christian
    Hayat, Samira
    Muzaffar, Raheeb
    Emini, Driton
    DRONET'19: PROCEEDINGS OF THE 5TH WORKSHOP ON MICRO AERIAL VEHICLE NETWORKS, SYSTEMS, AND APPLICATIONS, 2019, : 9 - 14
  • [5] Stable matching with evolving preference for adaptive handover in cellular-connected UAV networks
    Wang, Wenlu
    Wang, Bowen
    Sun, Yanjing
    VEHICULAR COMMUNICATIONS, 2024, 47
  • [6] On Sum Rate Maximization Study for Cellular-Connected UAV Swarm Communications
    Yang, Bin
    Taleb, Tarik
    Chen, Guilin
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2021), 2021,
  • [7] An Enhanced Handover Scheme for Cellular-Connected UAVs
    Dong, Wenbin
    Mao, Xinhong
    Hou, Ronghui
    Lv, Xixiang
    Li, Hui
    2020 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2020, : 418 - 423
  • [8] Radio Map Based Path Planning for Cellular-Connected UAV
    Zhang, Shuowen
    Zhang, Rui
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [9] Handover-Count based Velocity Estimation of Cellular-Connected UAVs
    Chowdhury, Md Moin Uddin
    Sinha, Priyanka
    Guvenc, Ismail
    PROCEEDINGS OF THE 21ST IEEE INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (IEEE SPAWC2020), 2020,
  • [10] Uplink Cooperative NOMA for Cellular-Connected UAV
    Mei, Weidong
    Zhang, Rui
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2019, 13 (03) : 644 - 656