Enhancing Energy Efficiency in Underlay Cellular Networks: Leveraging Deep Learning for Full-Duplex SWIPT-based D2D Communications.
Kimchheang ChheaSothearath MengJung-Ryun LeePublished in: ICOIN (2024)
Keyphrases
- deep learning
- cellular networks
- energy efficiency
- base station
- energy consumption
- wireless sensor networks
- power consumption
- multi hop
- sensor networks
- energy efficient
- wireless networks
- sensor nodes
- unsupervised learning
- mobile users
- data center
- routing protocol
- cluster head
- machine learning
- data transmission
- response time
- smart home
- traffic load
- mobile networks
- routing algorithm
- weakly supervised
- wifi
- wireless communication
- communication networks
- mental models
- rfid tags
- data collection
- supervised learning
- real time
- ad hoc networks
- lightweight
- low cost