Deep Learning-Based Power Control for Non-Orthogonal Random Access.
Han Seung JangHoon LeeTony Q. S. QuekPublished in: IEEE Commun. Lett. (2019)
Keyphrases
- random access
- deep learning
- power control
- resource management
- power consumption
- energy efficient
- wireless mesh networks
- multi hop
- wireless networks
- unsupervised learning
- unsupervised feature learning
- cognitive radio
- power management
- machine learning
- weakly supervised
- base station
- mental models
- wireless sensor networks
- quality of service
- end to end
- data transmission
- mobile ad hoc networks
- intelligent agents
- natural images
- active learning
- high dimensional