Learning-Based Latency-Constrained Fronthaul Compression Optimization in C-RAN.
Axel GrönlandBleron KlaiqiXavier GelabertPublished in: CAMAD (2023)
Keyphrases
- learning process
- data sets
- reinforcement learning
- active learning
- incremental learning
- artificial neural networks
- knowledge acquisition
- empirical studies
- concave convex procedure
- directly optimize
- kernel machines
- compression scheme
- mobile learning
- learning systems
- unsupervised learning
- learning objects
- prior knowledge
- case study
- learning algorithm