Efficient Learning in Stationary and Non-stationary OSA Scenario with QoS Guaranty
In this work, the opportunistic spectrum access (OSA) problem is addressed with stationary and non-stationary Markov multi-armed bandit (MAB) frameworks. We propose a novel index based algorithm named QoS-UCB that balances exploration in terms of occupancy and quality, e.g. signal to noise ratio (SN...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2017-01-01
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| Series: | EAI Endorsed Transactions on Wireless Spectrum |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/eai.9-1-2017.152098 |