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报告内容
框架
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In
this talk, we shall study the probabilistic caching for ultra-dense cellular
networks with terrestrial and aerial users. The support for aerial users has
become the study focus of the recent 3GPP standardizations on 5G. A
sophisticated path loss model incorporating both line-of-sight and
non-line-of-sight transmission and a dynamic on-off architecture is
considered in this work. We investigate the probability that user equipment (UE)
can successfully download their requested files from the small-cell base
stations (SBSs), namely, successfully downloading probability (SDP). By
modeling the distribution of such two-tier UEs and SBSs, which follow
Homogeneous Poisson Point Process and considering the three-dimensional
distance between SBSs and UEs, we develop theoretical results of the SDP
performance based on stochastic geometry theory. We then optimize the caching
probabilities to maximize the SDP. Moreover, we obtain the upper bounds of
the SDP for two caching strategies, i.e., the popular caching strategy (PCS)
and the uniform caching strategy (UCS). We investigate the impacts of the
SBSs parameters and the height of aerial users on the SDP. When the density
of SBSs is relatively small, the performance of the PCS is better than the
UCS. As the density increases, the performance of the UCS will be better than
the PCS. The performance of optimal caching strategy is better than the both
strategies.
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