Spatio-temporal stochastic modeling of heterogeneous cellular networks: Security and delay analysis

Abstract

Security and delay are both of extremely important due to the fact that the fifth generation (5G) wireless networks aims to achieve high level of security and low delay. In this paper, considering the randomness of base stations in space and dynamic user traffic arrivals in time, we first develop a novel traffic-aware spatio-temporal mathematical framework in an open access A"-tier heterogeneous cellular network (HCN) based on stochastic geometry theory and queuing theory. On the basis of the spatio-temporal framework, we then investigate the security and delay performance. It is demonstrated that there is a tradeoff between packet transmission delay and secrecy transmission rate, which is caused by the packet arrival probability. Finally, simulation experiments are conducted to validate the correctness and usefulness of our theoretical conclusions.