Particle Swarm Optimization of Fuzzy Logic Based Approach for Dynamic Spectrum Access in Cognitive Radio Network
One of the emerging areas in the field of next generation wireless network is theCognitive Radio Network
(CRN). The traditional spectrum access approach leads to vast underutilization of the radio spectrum assigned to primary
(licensed) users. The dynamic spectrum access is the most suitable approach to achieve finest spectrum utilization. The
dynamic spectrum access technique allows the secondary (unlicensed) users to sense and use the available spectrum
opportunistically, hence also known as opportunistic spectrum access. In this paper, an approach using a Sugeno type Fuzzy
LogicSystem (FLS) to control the spectrum access has been proposed. Three parameters: spectrum utilization efficiency of
the secondary user, its degree of mobility, and its distance to the primary userare used to describe the system. The output of
the FLS gives the spectrum band accessing possibility for secondary users and the user with the highest possibility will be
assigned the existing spectrum band. The Sugeno type FIS proposed in this work has been optimized using Particle Swarm
Optimization (PSO) technique.The PSO optimized Sugeno FIS has also been compared favorably with Sugeno type FLS for
dynamic spectrum access and with the Mamdani based FLS already reported in.
Keywords— Cognitive radio network, Fuzzy logic system, Soft computing.