Abstract
In order to maximize throughput and minimize interference of the wideband spectrum sensing problem in OFDM cognitive radio sensor networks, a linear weighted sum multi-objective algorithm based on the Particle Swarm Optimization is proposed. The multi-objective optimization advantages of Particle Swarm Optimization are utilized to solve the optimal threshold vector of the spectrum sensing problem in OFDM cognitive radio sensor networks. So the network can get a larger throughput under the condition of small interference. The simulation results show that the proposed algorithm can make larger throughput while keeping the interference is smaller in OFDM cognitive radio sensor networks. Thus the spectrum resources are used more effectively.
Highlights
With the growing demand for wireless communications, the limited spectrum resources become increasingly scarce [1,2]
The simulation results verified that the algorithm based on the optimized threshold vector is more effectively for the network throughput than the traditional multi-band algorithm based on selecting the equal threshold
We propose a linear weighted sum multi-objective optimization algorithm based on Particle Swarm Optimization (PSO)
Summary
With the growing demand for wireless communications, the limited spectrum resources become increasingly scarce [1,2]. Reference [16] established a multi-band joint spectrum sensing framework based on the Orthogonal Frequency Division Multiplexing (OFDM) It takes full consideration of the different condition of every orthogonal sub-channel in OFDM system. Based on the optimization model of reference [16], reference [20] using a genetic algorithm to solve it It only considers the problem of maximizing throughput under the condition of certain system interference. The simulation results demonstrate that the proposed algorithm in this paper can find the optimum threshold vector under taking account of the throughput and interference. This method can satisfy the spectrum sensing problem of maximizing throughput while ensuring that small amount of interference
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