User-assisted Caching Strategy Based on Reverse Auction and Recommendation in Railway Station

In the field of high-speed railway communication, solving the growing demand for multimedia services of passengers has always been a problem. To provide users with stable video services, caching technology has received more and more attention. In this paper, we refine the details when users assist the on-board relay to cache videos in railway stations. Based on this scenario, we improve the existing asynchronous allocation strategy and propose a user-assisted caching strategy named sequential allocation algorithm with recommendation for caching videos. The experimental results show that the algorithm is superior to synchronous and asynchronous allocation algorithm in social revenue and user participation ratio.