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Optimizing Caching Policy at Base Stations by Exploiting User Preference and Spatial Locality. (arXiv:1710.09983v1 [cs.IT])
来源于:arXiv
Most prior works of proactive caching at wireless edge optimize caching
policies under the following assumptions: the preference of each user is
identical to content popularity, all users request contents with the same
active level and at uniformly-distributed locations. In this paper, we
investigate what happens without these assumptions. To this end, we establish a
framework to optimize caching policy at base stations exploiting user
preference, active level, and spatial locality. We obtain optimal caching
policy to minimize the weighted sum of the file download time averaged over all
file requests and user locations in the network (reflecting network
performance) and the maximal weighted download time averaged over possible file
requests and locations of each user (reflecting user fairness). To investigate
how user preference similarity and active level skewness affect the optimal
caching policy, we then provide a method to synthesize user preference for
given content popularity and 查看全文>>