GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment.
Tran-Tuan ChuMohamed Aymen LabiodHai Anh TranAbdelhamid MelloukPublished in: ICC (2022)
Keyphrases
- deep learning
- multipath
- heterogeneous environments
- mimo ofdm systems
- end to end
- unsupervised feature learning
- unsupervised learning
- routing algorithm
- machine learning
- antenna array
- multiple paths
- ofdm system
- web services
- weakly supervised
- data mining
- bit error rate
- computer vision
- feature extraction
- mental models
- domain specific
- wireless sensor networks