Interference coordination for secrecy enhancement in random wireless networks

The co-channel interference modeling is vital for evaluating the secrecy performance in random wireless networks, where the legitimate nodes and eavesdroppers are randomly distributed. In this paper, a new interference model is proposed from the user-dominant perspective. The model can provide a better analytical assessment of secrecy performance with interference coordination for the presence of eavesdroppers. The typical legitimate is assumed to be located at the origin, and chooses the closest base station (BS) as its serving BS. The field of interferers is obtained by excluding the desired BSs (including the serving BS and its cooperative BS(s)). In contract with the exiting interference model, it is assumed that desired BSs and interferers belong to the same Poisson Point Process (PPP), and eavesdroppers are distributed according to another independent PPP. Based on this model, the average secrecy transmission capacity is derived in simply analytical forms with interference coordination. Analysis and simulation results show that the secrecy performance can be significantly enhanced by exploiting interference coordination. Furthermore, the average secrecy transmission capacity increases with increasing number of cooperative BSs.