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An Adaptive Learning Based Network Selection Approach for 5G Dynamic Environments †
Networks will continue to become increasingly heterogeneous as we move toward 5G. Meanwhile, the intelligent programming of the core network makes the available radio resource be more changeable rather than static. In such a dynamic and heterogeneous network environment, how to help terminal users s...
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| Pubblicato in: | Entropy (Basel) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512751/ https://ncbi.nlm.nih.gov/pubmed/33265327 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20040236 |
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