Impartial spectrum decision under interference temperature model in cognitive wireless mesh networks

Abstract

Interference temperature model was proposed to relieve the problem of spectrum scarcity and spectrum underutilisation in the licensed bands by allowing simultaneous communication between licensees and cognitive unlicensed users in underlay spectrum sharing mode. Under interference temperature limits, a new metric called outage probability was proposed for the spectrum handoff decision in cognitive wireless mesh networks, to increase the spectrum efficiency and decrease the handoff latency. Furthermore, according to the pre-emptive resume priority (PRP) M/G/1 queuing theory, the handoff decision policy was applied to the probability-based spectrum decision strategy. Simulation results show that the proposed decision scheme reduces the outage probability and overall transmission time of secondary users, simultaneously guarantees the fairness in the channel utilisation, and further improves the network performance.