Proposed two stage detection rules for improving throughput in cognitive radio networks

Abstract EN

Cognitive Radio (CR) is a communication technology developed to solve the problem of spectrum scarcity.

One way to improve the throughput of CR is the use of efficient decision rules of the fusion center to combine the collected information from cooperative sensors and produce the right final decision.

For this purpose, hard decision rules like AND and OR and soft decision rules like Square Law Combination (SLC) and Maximum Ratio Combination (MRC) can be combined to optimize the throughput performance.

In this paper, three decision rules, each consist of two decision stages (hard and soft) are proposed to improve the throughput of CR in cooperative scenario.

The simulation results showed that the proposed rules enhance the throughput as compared with traditional ones.

They demonstrated that the first proposed rule enhances the throughput by 106% and 58.

9% at SNR equals -10 dB in Rayleigh fading channel over the classical OR-SLC and the AND-SLC rules, respectively.

Under the same simulation conditions, the second proposed rule enhanced the throughput by 163% and 97.

5%, while the third proposed method enhances throughput by 210% and 135%, respectively.