Deep‐DRX: A framework for deep learning–based discontinuous reception in 5G wireless networks
The tremendous advancement in various types of mobile devices with distinct services demands emerging 5G networks to deal with different kinds of traffic. The high data rates along with beam searching operation in 5G increase user equipment (UE) energy expenses. Discontinuous reception (DRX) is used...
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Veröffentlicht in: | Transactions on emerging telecommunications technologies 2019-03, Vol.30 (3), p.n/a |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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