Comparison of Mamdani and Sugeno Inference Systems for Dynamic Spectrum Allocation in Cognitive Radio Networks

Dynamic spectrum access and cognitive radio are emerging technologies to utilize the scarce frequency spectrum in an efficient and opportunistic manner. Cognitive radio, built on software defined radio, is an intelligent radio technology that updates its operating parameters to locate the unused spe...

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Bibliographic Details
Published in:Wireless personal communications 2013-07, Vol.71 (2), p.805-819
Main Authors: Subhedar, Mansi, Birajdar, Gajanan
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Cognitive radio
Communications Engineering
Computer Communication Networks
Computer science
control theory
systems
Dynamical systems
Dynamics
Engineering
Exact sciences and technology
Fuzzy
Fuzzy logic
Fuzzy set theory
Inference
Mathematical models
Networks
Radiocommunications
Signal,Image and Speech Processing
Telecommunications
Telecommunications and information theory
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Summary:Dynamic spectrum access and cognitive radio are emerging technologies to utilize the scarce frequency spectrum in an efficient and opportunistic manner. Cognitive radio, built on software defined radio, is an intelligent radio technology that updates its operating parameters to locate the unused spectrum segments. To assign these vacant bands to unlicensed users without causing harmful interference to licensed users, a novel approach is proposed in this article based on fuzzy logic. Two different fuzzy inference system models i.e. Mamdani and Sugeno systems are developed that compute spectrum access decision based on the 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 to obtain the output of proposed system stating the possibilities of allotment of white spaces to secondary users.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-012-0845-6