Transfer restless multi-armed bandit policy for energy-efficient heterogeneous cellular network
Abstract This paper proposes a learning policy to improve the energy efficiency (EE) of heterogeneous cellular networks. The combination of active and inactive base stations (BS) that allows for maximizing EE is identified as a combinatorial learning problem and requires high computational complexit...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
SpringerOpen
2019-10-01
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| coleção: | EURASIP Journal on Advances in Signal Processing |
| Assuntos: | |
| Acesso em linha: | http://link.springer.com/article/10.1186/s13634-019-0637-1 |
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