Finding spectrum occupancy pattern using CBFPP mining technique

• Published in: Journal of intelligent & fuzzy systems Vol. 39; no. 3; pp. 4361 - 4368
• Main Authors: Karthik, G.M., Sayeekumar, M., Kumaravel, R., Aravind, T.
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.01.2020; Sage Publications Ltd
• Subjects: Algorithms; Cognitive radio; Collision rates; Data mining; Data structures; Enumeration; Licenses; Occupancy; Paging; Pattern analysis; frequent pattern; spectrum occupancy prediction; Cognitive radio; data mining

The main challenge of problem lies in the perception of Cognitive Radio technology is to discover licensed empty spectrum pattern. The efficient model is needed for allocation among licensed and unlicensed users in wireless spectrum to improve the extraction rate and collision rate. To discover the...