Deep‐reinforcement learning for fair distributed dynamic spectrum access in priority buffered heterogeneous wireless networks
Abstract In this paper, distributed heterogeneous wireless networks are studied and a spectrum access scheme that fairly allocates channels among users based on their request levels is investigated. To be closer to what happens in practice, users' request levels to have different priorities are...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-03-01
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| Series: | IET Communications |
| Online Access: | https://doi.org/10.1049/cmu2.12098 |