  Statistical QoS provisioning as an important performance metric in analyzing
next generation mobile cellular network, aka 5G, is investigated. In this
context, by quantifying the performance in terms of the effective capacity, we
introduce a lower bound for the system performance that facilitates an
efficient analysis. Based on the proposed lower bound, which is mainly built on
a per resource block analysis, we build a basic mathematical framework to
analyze effective capacity in an ultra dense heterogeneous cellular network. We
use our proposed scalable approach to give insights about the possible
enhancements of the statistical QoS experienced by the end users if
heterogeneous cellular networks migrate from a conventional half duplex to an
imperfect full duplex mode of operation. Numerical results and analysis are
provided, where the network is modeled as a Matern point process. The results
demonstrate the accuracy and computational efficiency of the proposed scheme,
especially in large scale wireless systems. Moreover, the minimum level of self
interference cancellation for the full duplex system to start outperforming its
half duplex counterpart is investigated.
