Two‐layer modelling of IEEE 802.11x channel occupancy

Abstract

Abstract 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, the characterization of large‐scale dynamics of WLAN channel occupancy is considered. The characterization of small‐scale dynamics of WLAN channel occupancy is also considered 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.

Keywords

• cochannel interference
• cognitive radio
• internet of things
• wireless local area network
• wireless sensor networks