Abstract-Network densification with small cell base stations is a promising solution to satisfy future data traffic demands. However, increasing small cell base station density alone does not ensure better users' quality-of-experience and incurs high operational expenditures. Therefore, content caching on different network elements has been proposed as a mean of offloading the backhaul by caching strategic contents at the network edge, thereby reducing latency. In this paper, we investigate cacheenabled small cells in which we model and characterize the outage probability, defined as the probability of not satisfying users' requests over a given coverage area. We analytically derive a closed form expression of the outage probability as a function of signal-to-interference ratio, cache size, small cell base station density and threshold distance. By assuming the distribution of base stations as a Poisson point process, we derive the probability of finding a specific content within a threshold distance and the optimal small cell base station density that achieves a given target cache hit probability. Furthermore, simulation results are performed to validate the analytical model.
Considering an HPPP-based cache-enabled small cell network, a closed form expression of the outage probability and the optimal BS density to achieve a target hit probability are derived in REF .
Modeling and analysis of content caching in wireless small cell networks
2015 International Symposium on Wireless Communication Systems (ISWCS)
2015 International Symposium on Wireless Communication Systems (ISWCS)
Computer Science Mathematics