Deep Learning for Energy Efficient Beamforming in MU-MISO Networks: A GAT-Based Approach.
Yuhang LiYang LuRuichen ZhangBo AiZhangdui ZhongPublished in: IEEE Wirel. Commun. Lett. (2023)
Keyphrases
- energy efficient
- deep learning
- wireless sensor networks
- energy consumption
- sensor networks
- unsupervised learning
- machine learning
- unsupervised feature learning
- social networks
- energy efficiency
- multi hop
- mental models
- sensor nodes
- routing algorithm
- routing protocol
- computer networks
- base station
- data analysis
- computer vision
- network structure
- data transmission