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| Wireless content caching has been considered as an efficient way to reduce the traffic and energy consumption in 5G networks. As a promising technology of 5G, User-centric UDN(UUDN) break through the traditional cellular architecture, allowing users served by a following AP group(APG) as the user moving. However, caching in UUDN faces fundamental challenges due to the frequent APG refreshing, irregular user moving and APs cooperation inner each APG. In this paper, we propose a dynamic prefetch method to solve the above questions. First, we use a hybrid Markov model to predict the user\'s future position. Then, we propose an algorithm to choose the prefetch point according to both the time dimension and the spatial dimension. In the end, we put forward a specific formula to calculate the size of prefetch content according to different user moving station. In conclusion, we propose an integrate prefetching process in UUDN network solving the problem of when, where and what content to prefetch. Simulation results show that the method we proposed could get a significantly improve than the popular based method and the forward prefetch method. |
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| Keywords:proactive caching, User-centric UDN, content placement, Small cell cooperation |
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