Fuzzy Tree Schematic for Spectrum Handoff Reduction in Cognitive Radio Networks

Riskiono, Sampurna Dadi and Sulistiyo, Selo and Mustika, I Wayan (2023) Fuzzy Tree Schematic for Spectrum Handoff Reduction in Cognitive Radio Networks. Journal of Communications, 18 (7). pp. 453-461. ISSN 17962021

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Abstract

Spectrum is a limited resource, so it must be used effectively. The fixed spectrum allocation method currently in operation may not sustain the growth in the network access users, which continues to increase over time. Many studies have shown that the spectrum deficiency problem can be solved with cognitive radio network (CRN) technology. CRN allows flexible spectrum utilization. Spectrum handoff is one of the fundamental prerequisites for dynamic spectrum access in cognitive radio networks. The ping-pong effect is one of the problems caused by the frequent occurrence of unnecessary handoff spectrum. So, in CRN, the right handoff decision is needed to avoid the ping-pong effect. The proposed fuzzy system carries the concept of a fuzzy tree that uses two fuzzy inference systems (FIS), which work in two stages, namely FIS-1 and FIS-2. In the early stages, the FIS-1 controls the secondary users (SU) power and prevents interference with the primary users (PU). FIS-2 is used to execute precise spectrum handoff decisions. The test results show that the amount of handoff spectrum has decreased by up to 43 % compared to other methods, which are only 60 %. This results in a decrease of 16.67% from the previous method. Thus, the ping-pong effect can be minimized with the right handoff decisions.

Item Type: Article
Additional Information: Library Dosen
Uncontrolled Keywords: cognitive radio network,fuzzy inference system,fuzzy tree,ping-pong effect,spectrum handoff
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 02 Jul 2024 06:57
Last Modified: 02 Jul 2024 06:57
URI: https://ir.lib.ugm.ac.id/id/eprint/243

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