• Laser & Optoelectronics Progress
  • Vol. 57, Issue 19, 190601 (2020)
Qiang Wen1、2, Jiying Li1、2、*, Yonghong Yang1、2, and Lei Wang3
Author Affiliations
  • 1School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • 2Gansu Research Center of Automation Engineering Technology for Industry & Transportation, Lanzhou, Gansu 730070, China;
  • 3School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP57.190601 Cite this Article Set citation alerts
    Qiang Wen, Jiying Li, Yonghong Yang, Lei Wang. LTE-R Handover Algorithm Based on Grey Prediction[J]. Laser & Optoelectronics Progress, 2020, 57(19): 190601 Copy Citation Text show less
    Diagram of handover model
    Fig. 1. Diagram of handover model
    Chart of handover
    Fig. 2. Chart of handover
    Diagram of measurement filtering process
    Fig. 3. Diagram of measurement filtering process
    Diagram of measurement period Tm and reporting period Tu
    Fig. 4. Diagram of measurement period Tm and reporting period Tu
    Fitting effect of concave variation sequence
    Fig. 5. Fitting effect of concave variation sequence
    Fitting effect of convex variation sequence
    Fig. 6. Fitting effect of convex variation sequence
    Fitting effect of monotonic augmentation sequence
    Fig. 7. Fitting effect of monotonic augmentation sequence
    Fitting effect of monotonic subtraction sequence
    Fig. 8. Fitting effect of monotonic subtraction sequence
    Flowchart of improved algorithm
    Fig. 9. Flowchart of improved algorithm
    RSRP of traditional A3 algorithm
    Fig. 10. RSRP of traditional A3 algorithm
    RSRP of improved algorithm
    Fig. 11. RSRP of improved algorithm
    Comparison of occurrence times of ping-pong switching of three algorithms
    Fig. 12. Comparison of occurrence times of ping-pong switching of three algorithms
    Comparison of ping-pong switching trigger rates of various algorithms
    Fig. 13. Comparison of ping-pong switching trigger rates of various algorithms
    Comparison of switching success rates of three algorithms
    Fig. 14. Comparison of switching success rates of three algorithms
    ParameterValue
    Bandwidth /MHz20
    Carrier frequency /GHz2.6
    Launching power ofbase station /dBm43
    Path loss model /dB140.729+34.768×lg R-10.03
    Standard deviation ofGaussian shadow model /dB8
    Vertical distance frombase station to rail /m100
    Cell radius R /km1.6
    Cell overlap area /m2500
    Switching trigger threshold /dB3
    Trigger delay time /ms480
    UE speed /(km·h-1)120,250,350
    Table 1. Simulation configuration table
    Qiang Wen, Jiying Li, Yonghong Yang, Lei Wang. LTE-R Handover Algorithm Based on Grey Prediction[J]. Laser & Optoelectronics Progress, 2020, 57(19): 190601
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