Robust congestion control in cognitive radio network using event-triggered sliding mode based on reaching laws

Abstract

In a band-limited spectrum, an increase in requests for various services of wireless applications is a matter of apprehension. To fulfill the expectations of immense wireless users, effective management and efficient use of the band-limited spectrum is highly desired. Cognitive Radio emerges as a solution to the problem of spectrum scarcity by opportunistically sharing the spectrum among licensed and unlicensed users. A careful balance of spectrum usage among different priority class users must be ensured to avoid network congestion. A robust congestion controller with three different reaching laws has been studied in this work for optimal spectrum utilization in Cognitive Radio Network. The sliding mode controller, which is eminent for its robustness and disturbance rejection capabilities has been combined with a novel dynamic event-triggering scheme to reduce energy expenses and computational complexities. The controller adequacy has been supported by simulations.