- Tytuł:
- Evaluation of Radio Channel Utility using Epsilon-Greedy Action Selection
- Autorzy:
- Malon, Krzysztof
- Powiązania:
- https://bibliotekanauki.pl/articles/1839337.pdf
- Data publikacji:
- 2021
- Wydawca:
- Instytut Łączności - Państwowy Instytut Badawczy
- Tematy:
-
cognitive radio
dynamic spectrum access
spectrum monitoring
machine learning
Q-learning - Opis:
- This paper presents an algorithm that supports the dynamic spectrum access process in cognitive radio networks by generating a sorted list of best radio channels or by identifying those frequency ranges that are not in use temporarily. The concept is based on the reinforcement learning technique named Q-learning. To evaluate the utility of individual radio channels, spectrum monitoring is performed. In the presented solution, the epsilon-greedy action selection method is used to indicate which channel should be monitored next. The article includes a description of the proposed algorithm, scenarios, metrics, and simulation results showing the correct operation of the approach relied upon to evaluate the utility of radio channels and the epsilon-greedy action selection method. Based on the performed tests, it is possible to determine algorithm parameters that should be used in this proposed deployment. The paper also presents a comparison of the results with two other action selection methods.
- Źródło:
-
Journal of Telecommunications and Information Technology; 2021, 3; 10-17
1509-4553
1899-8852 - Pojawia się w:
- Journal of Telecommunications and Information Technology
- Dostawca treści:
- Biblioteka Nauki
Artykuł