Traffic management in random cellular networks

Abstract

We consider a cellular network where base stations are randomly deployed according to a Poisson point process and new jobs arrive in time and space according to a Poisson space-time point process, and are assigned to base stations according to different assignment schemes with/without base station cooperation. We derive “macroscopic” spatial averages of local base station performance metrics, such as traffic load, utilization factor, and delay, under different models on the service time distribution which include dependence on distance. Moreover, we determine and derive properties of the traffic capacity of the network, defined as the maximum spatio-temporal job density under a given constraint on the percentage of unstable base stations. The proposed model provides a baseline for the study of irregular cellular networks with bursty spatio-temporal data traffic.