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 via numerical optimization. Compared with 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. Index Terms-Wireless D2D caching, probabilistic content placement, stochastic geometry.
In REF , the authors described a probabilistic caching placement scheme that takes the cacheaided throughput into account; it measures the density of successfully served requests through own local cache of the user or through its nearby devices via D2D transmission.
Probabilistic Caching in Wireless D2D Networks: Cache Hit Optimal Versus Throughput Optimal
IEEE Communications Letters
IEEE Communications Letters
Computer Science Mathematics