In this paper, we analyze the system performance of a stochastic network, which is in the stationary state. Different from previous full-loaded assumptions that base stations (BSs) are always transmitting signals, which overestimates the inter-cell interference (ICI), dynamic traffic is considered in our model and BSs can be silent in some time slots. Packet retransmission is adopted, which brings a coupled relationship between the outage probability and the buffer empty probability. That is, as the outage probability increases, packets that are not successfully received will remain at the head of the buffer and be retransmitted until they are successfully received, which increases the proportion of active BSs and aggravates the ICI in turn. To better analyze this coupled relationship, the ICI is analyzed with the aid of the probability generating function and the Laplace transform. Then a queuing model is established to depict the packet arrival and departure processes. Some important system metrics, including the outage probability, the buffer empty probability, and the stable throughput region, are derived. Numerical results verify our theoretical analysis, and it is revealed that packet retransmission can enhance the system performance when the packet request rate is within the stable throughput region.

In this paper, we mainly analyze the inter-cell interference (ICI) and its impacts on system performance for cellular networks with dynamic traffic, where base stations (BSs) do not remain active all the time. This is quite different from the assumption in previous works that base stations (BSs) are full-loaded, which overestimates the interference. To ensure the packet transmission, automatic repeat request (ARQ) protocol is adopted and packets will remain at the head of the buffer until they are successfully transmitted. Retransmissions bring a coupled relationship between the ICI and the buffer states, i.e., the packet transmission is impaired by the ICI, and packets will be blocked at the buffer to be retransmitted, which aggravates the interference in turn. To better reveal this coupled relationship, a queuing model is established to analyze the packet arrival and departure processes. With the aid of the probability generating function (PGF) and the Laplace transform, both the outage probability and the buffer empty probability are derived.