  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 ratio (SIR) for the cache-enabled networks where the
locations of the base stations (BSs) are modeled as a Poisson point process
(PPP). With the application of the random caching and the random discontinuous
transmission (DTX) schemes, we derive the moments of the conditional successful
transmission probability (STP), the exact meta distribution and its beta
approximation by utilizing stochastic geometry. The closed-form expressions of
the mean and variance of the local delay (i.e., the network jitter) are also
derived. We then consider the maximization of the mean STP and the minimization
of the average system transmission delay by jointly optimizing the caching
probability and the BS active probability. Finally, the numerical results
demonstrate the superiority of the proposed optimization schemes over the
existing caching strategies and reveal the impacts of the key network
parameters on the cache-enabled networks in terms of mean STP, STP variance,
meta distribution, mean local delay and network jitter.
