  Departing from the conventional cache hit optimization in cache-enabled
wireless networks, we consider an alternative optimization approach for the
probabilistic caching placement in stochastic wireless D2D caching networks
taking into account the reliability of D2D transmissions. Using tools from
stochastic geometry, we provide a closed-form approximation of cache-aided
throughput, which measures the density of successfully served requests by local
device caches, and we obtain the optimal caching probabilities with numerical
optimization. Compared to the cache-hit-optimal case, the optimal caching
probabilities obtained by cache-aided throughput optimization show notable gain
in terms of the density of successfully served user requests, particularly in
dense user environments.
