In high-speed railway (HSR) wireless networks, the link quality is greatly time-dependent and location-varying.\nDue to the high randomness, it is challenging to predict the link quality in HSR wireless networks. In this paper,\nwe firstly conducted a certain amount of field measurement campaigns of HSR wireless network link quality. A great\nnumber of practical datasets are collected regarding packet loss rate (PLR) and round-trip time (RTT). Then,\nwe analyzed its changing pattern in different time scales, and further model the link quality of HSR wireless\nnetwork using hidden Markov chain. Based on this, an improved algorithm was developed to simulate the\nvariation of HSR wireless network link quality. Simulation results prove that the proposed model is capable\nof accurately reproducing the behavior of HSR wireless network link quality with regard to PLR and RTT.\nThis work will offer new inspiration to the prediction of link quality for HSR wireless networks.
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