statistical analysis of external interference in wireless networks
External interference is the pivotal issue that degrades the performance of wireless systems significantly as more and more wireless networks coexist with the limited frequency bands but lack of investigations. As a representation, the novel technique cognitive radio networks confront the similar interference problem extensively. In this paper, general statistical analyses of absolute (interference only) and relative (the ratio of signal to interference, SIR) external interference in both omnidirectional coverage and linear coverage networks are presented respectively. The scenario considered is a general condition in cognitive radio networks or several wireless networks coexist in the same area with mutual external interference that the interferers share the same frequency bands with the signal in Nakagami- m and shadowing fading channels. Assumed that the interferers outside the service networks obey Poisson distribution in space field to model the random architectures and parameters of external interferers for lacking of knowledge at the service base station receivers. Finally, extensive understandings of the nature of external interference are provided by the simulations and conclusions.
external interference gamma distribution outage probability frequency reuse