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Enhanced and Optimized Power-Distance Handover Algorithms for High-Speed Trains for WINNER-II Channel Model

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Abstract

Very high-speed trains (HSTs) undergo a significant number of handovers/handoffs between cells. The handover triggering point varies with train speed. This variation causes too late handover triggering, which results in a radio link failure. In this paper, some solutions are proposed to overcome this problem. The first one is an algorithm for triggering handover based on distance, named “Power-Distance” algorithm. Power-Distance algorithm reduces the overall processing power used in handover. For a further improvement, an optimized reward function algorithm is proposed. It is a multi-objective optimization, measurement handover procedure for HST. It uses a reward function to speed up the measurement process when the train is travelling in the direction of the target (destination) cell, with a velocity greater than the normal, to address the train speed changes. Therefore, the probability of too late handover triggering is decreased, resulting in a substantial lessening in the radio link failure probability. Another proposed procedure is the Optimized Power-Distance algorithm. In which, the optimization procedure is applied to the power-distance algorithm.

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There was no funding for the work presented in this paper.

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Authors and Affiliations

  1. Computer Networks and Data Center, Arab Academy for Science, Technology, and Maritime Transport, Alexandria, 21937, Egypt

    Ehab Ahmed Ibrahim

  2. Department of Electronics and Communications Engineering, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria, 21937, Egypt

    Ehab F. Badran

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  1. Ehab Ahmed Ibrahim
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  2. Ehab F. Badran
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Correspondence to Ehab F. Badran.

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Ibrahim, E.A., Badran, E.F. Enhanced and Optimized Power-Distance Handover Algorithms for High-Speed Trains for WINNER-II Channel Model. Wireless Pers Commun 125, 1261–1279 (2022). https://doi.org/10.1007/s11277-022-09600-6

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