Abstract
With the rapid development of high-speed railway, the mobile communication system for railway need to optimize the allocation of wireless communication resources according to the train motion, thus improving the quality of communication services. In this paper, we construct a chain base station (BS) network model based on LTE-R. A Gauss-Markov (GM) motion prediction model is used to simulate a period of train motion in the orbit, and a cell zooming (CZ) algorithm based on orbital motion prediction and load balance is proposed. The performance of our algorithm is verified by simulation results. When the CZ strategy is implemented or not implemented, the load rate, load balancing factor, blocking rate and throughput of the network model at different moments of the orbital motion are obtained. By comparing these performance indexes, it can be concluded that the proposed CZ algorithm improves these performance indexes.
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