Abstract
Handover is one of the key technologies to guarantee the quality of high-speed rail wireless communication. The existing LTE-R handover algorithm has the following deficiencies: 1. The same channel model is adopted for different speed trains; 2. the fixed trigger time (TTT) and hysteresis are used. Thresholds, or segmented adjustments to only the hysteresis thresholds, cannot meet the changing high-speed rail speed requirements for handover performance. In this paper, the following improvements are provided: 1. Different channel models are used for different train speeds in the handover process to more accurately reflect the status of wireless channels at the time of handover. 2. Inverse function is used to establish the speed and trigger time based on the least squares method. The optimal handover parameter configuration at different speeds can be predicted by establishing a functional relationship between (TTT) and the hysteresis threshold. The proposed optimization algorithm based on dynamic handover parameters provides an important reference for the setting of handover parameters for high speed railways at different speeds. The simulation results show that in the LTE-R system, the proposed algorithm can better predict the handover parameter configuration at different speeds, and the handover success rate and the wireless link failure rate index are improved.
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Acknowledgments
This work described in this paper was supported by the National Science and Technology Major Project of the Ministry of Science and Technology of China (Grant No. 2016ZX03001009-003).
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Zhang, S., Chuai, G., Gao, W. (2019). A Handover Optimization Algorithm for LTE-R System Handover Parameter Prediction and Dynamic Adjustment. In: Liang, Q., Liu, X., Na, Z., Wang, W., Mu, J., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2018. Lecture Notes in Electrical Engineering, vol 515. Springer, Singapore. https://doi.org/10.1007/978-981-13-6264-4_78
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DOI: https://doi.org/10.1007/978-981-13-6264-4_78
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