Handover based on Maximum Cell Residence Time and Adaptive TTT for LTE-R High-Speed Railways

被引:0
|
作者
Cho, Hanbyeog [1 ]
Han, Donghyuk [2 ,4 ]
Shin, Sungjin [3 ,4 ]
Cho, Hyoungjun [4 ]
Lee, Changsung [4 ]
Lim, Goeun [4 ]
Kang, Mingoo [5 ]
Chung, Jong-Moon [4 ]
机构
[1] ETRI, Vehicle IT Convergence Res Ctr, Daejeon, South Korea
[2] LG Elect, CTO SIC Ctr, Seoul, South Korea
[3] Samsung Elect, SW Ctr, Suwon, South Korea
[4] Yonsei Univ, Sch Elect & Elect Engn, Seoul, South Korea
[5] Hanshin Univ, Dept Informat Sci & Telecommun, Osan, South Korea
关键词
LTE-R; High-speed railway; Handover; COMMUNICATION; SYSTEMS; SCHEME;
D O I
10.3837/tiis.2017.08.017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the development of high-speed railway technologies, train velocities can now reach speeds up to 350 km/h, and higher in the future. In high-speed railway systems (HSRs), loss of communication can result in serious accidents, especially when the train is controlled through wireless communications. For to this reason, operators of Long Term Evolution for Railway (LTE-R) communication systems install eNodeBs (eNBs) with high density to achieve highly reliable communications. However, densely located eNBs can result in unnecessary frequent handovers (HOs) resulting in instability because, during every HO process, there is a period of time in which the communication link is disconnected. To solve this problem, in this paper, an HO scheme based on the maximum cell residence time (CRT) and adaptive time to trigger (aTTT), which are collectively called CaT, is proposed to reduce unnecessary HOs (using CRT estimations) and decrease HO failures by improving the handover command transmission point (HCTP) in LTE-R HSR communications.
引用
收藏
页码:4061 / 4076
页数:16
相关论文
共 48 条
  • [41] Cyclone rotational drying of lignite based on particle high-speed self-rotation: Lower carrier gas temperature and shorter residence time
    Fu, Pengbo
    Yu, Hao
    Li, Qiqi
    Cheng, Tingting
    Zhang, Fangzheng
    Yang, Tao
    Huang, Yuan
    Li, Jianping
    Fang, Xiangchen
    Xiu, Guangli
    Wang, Hualin
    ENERGY, 2022, 244
  • [42] A Novel High-Speed Adaptive Duobinary Digital Detector Based on the Feed-Forward Equalizer and the Maximum Likelihood Sequence Detector for Wireline Transceivers
    Xu, Chaolong
    Lv, Fangxu
    Lai, Mingche
    Qi, Xingyun
    Wang, Qiang
    Luo, Zhang
    Li, Shijie
    Zhang, Geng
    IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, 2025,
  • [43] Real-Time LOC-based Morphological Cell Analysis System Using High-Speed Vision
    Gu, Qingyi
    Aoyama, Tadayoshi
    Takaki, Takeshi
    Ishii, Idaku
    Takemoto, Ayumi
    Sakamoto, Naoaki
    2014 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2014), 2014, : 822 - 827
  • [44] Real-time Object Detection Based on R-FCN Network Under Structured Scene of High-speed Railway
    Han, Qian
    Wang, Shengchun
    Gu, Zichen
    Dai, Peng
    Feng, Qibo
    TWELFTH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2020), 2020, 11519
  • [45] Time-frequency and attenuation analysis of shallow tunnel high-speed railway vibration signal based on high-order local maximum synchrosqueezing transform
    Jia, Bao-xin
    Zhai, Zi-wei
    Zhang, Jing
    Zhou, Zhi-yang
    Yuan, Wen-ya
    Zheng, Ke-nan
    ROCK AND SOIL MECHANICS, 2025, 46 (01) : 337 - 352
  • [46] Short-Term Prediction of Time-Varying Passenger Flow for Intercity High-Speed Railways: A Neural Network Model Based on Multi-Source Data
    Su, Huanyin
    Mo, Shanglin
    Peng, Shuting
    Farhi, Nadir
    MATHEMATICS, 2023, 11 (16)
  • [47] Real-time 3D Page Tracking and Book Status Recognition for High-speed Book Digitization based on Adaptive Capturing
    Noguchi, Shohei
    Watanabe, Yoshihiro
    Yamada, Masahiro
    Ishikawa, Masatoshi
    2014 IEEE WINTER CONFERENCE ON APPLICATIONS OF COMPUTER VISION (WACV), 2014, : 137 - 144
  • [48] Adaptive current decoupling control scheme based on online multi-parameter identification for high-speed permanent magnet synchronous motor in fuel cell
    Wang, Kun
    Yan, Yuanlin
    Mao, Kun
    Zheng, Shiqiang
    Hao, MoHan
    Zhang, Yin
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2024, 86 : 542 - 553