"Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G."

Nils Strodthoff et al. (2019)

> Home

Details and statistics

DOI: 10.1109/JSAC.2019.2934001

access: open

type: Journal Article

metadata version: 2023-07-27

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/jsac/StrodthoffGSHS19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jsac/StrodthoffGSHS19
Nils Strodthoff, Baris Göktepe, Thomas Schierl, Cornelius Hellge, Wojciech Samek:
Enhanced Machine Learning Techniques for Early HARQ Feedback Prediction in 5G. IEEE J. Sel. Areas Commun. 37(11): 2573-2587 (2019)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.