  A fine-grained analysis of the cache-enabled networks is crucial for system
design. In this paper, we focus on the meta distribution of the
signal-to-interference-plus-noise-ratio (SINR) in the mmWave heterogeneous
networks where the base stations (BS) in each tier are modeled as Poisson point
process (PPP). By utilizing stochastic geometry, we derive the moments of the
conditional success probability, based on which the exact expression of meta
distribution and its beta approximation are derived. In addition, key
performance metrics, the success probability, the variance of the conditional
success probability, the mean local delay and the network jitter are achieved.
The distinguishing characteristics of the mmWave communications, including
different path loss laws for line-of-sight and non-line-of-sight links and
directional beamforming are incorporated into the analysis. The simulation
results reveal the impact of the key network parameters, such as blockage
parameter, bias factor, number of antenna elements and density on the
performance.
