Low power IoT communication signals (e.g., Bluetooth and ZigBee) may
seriously suffer from the presence of high-power co-channel interference
like wireless local area network (WLAN) signal. They may effectively
avoid WLAN interference by exploiting dynamic characteristics of WLAN
traffic. Representing the arrival/departure of WLAN users using an
M/M/m/m queueing structure, we consider the characterization of
large-scale dynamics of WLAN channel occupancy. We also consider the
characterization of small-scale dynamics of WLAN channel occupancy by
generating WLAN signal using a two-state semi-Markovian process.
Simulation results show that the proposed model generates WLAN signal
having similar statistical characteristics to those of real WLAN signal.