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APPLICATION OF HEURISTIC LEARNING SPECTRUM SENSING IN COGNITIVE RADIO NETWORK
- Author(s)
- RUKMAN RINALDY ARDYANSYAH
- Advisor
- YOUNG-JUNE CHOI
- Department
- 일반대학원 컴퓨터공학과
- Publisher
- The Graduate School, Ajou University
- Publication Year
- 2020-02
- Language
- eng
- Keyword
- SPECTRUM SENSING
- Alternative Abstract
- The cognitive radio is proposed to address the problem of spectrum scarcity in the current condition where the utilization of the spectrums is imbalance. The users in overutilized spectrum may access the other licensed spectrum opportunistically without causing harmful interference to the licensed user. To reduce the interference harmfulness, the unlicensed users have to detect the presence of the licensed user which is called spectrum sensing process. There are many problems in spectrum sensing process. Many works have been done to address the energy consumption problem and also increase the detection performance. There are several works have been done by using heuristic approach and also learning approach. Heuristic approaches mostly suffer from unoptimized results where the learning approaches suffer from long learning time and also the needed for prediction data. In this work, we propose the combination of prediction and heuristic approach where the users learn when to use the proper approach to increase the detection performance and also reduce the energy consumption.
- Fulltext
- Appears in Collections:
- Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
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