In this talk I will discuss a stochastic geometric model of a buffered cellular network with either uplink or downlink transmissions. Various network models have been widely considered in many works from different perspectives, and our work partially adopts general concepts of network topology. Some crucial features of our model include the presence of a buffer of finite or infinite capacity for failed signals, the busy/idle state of the transmitters, and the time-inhomogeneity of the network behavior. We start with defining a tractable mathematical model of the network which we then use to derive analytical expressions for coverage probability, Shannon capacity, stationary busy probability and buffer distribution. We will also look at some numerical and simulation results for visualization and model validation.