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Spectrum Management in Cognitive Radio Networks Using Fuzzy Logic and ANFIS
Abstract
Cognitive radio, built on software defined radio (SDR)
is an intelligent radio technology that updates its operating
parameters to locate the unused spectrum segments. To achieve better spectrum utilization, assignment of spectrum allotted to primary user to secondary user when it is unused is essential. To assign these vacant bands to unlicensed users without causing harmful interference to licensed users, a novel approach is proposed based on fuzzy logic and ANFIS. Fuzzy Logic and ANFIS (Adaptive neuro
fuzzy inference system) models are developed and compared. These models make use of secondary user parameters such as signal strength, distance between the primary and secondary user, spectrum utilization efficiency and degree of mobility. 81 fuzzy rules are used for decision making, indicating the possibilities of access to secondary user. Better choice can be made regarding the suitable secondary user to whom spectrum can be allotted for user when primary user is not using it.
Keywords
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