Inverse Reinforcement Learning Meets Power Allocation in Multi-user Cellular Networks.
Ruichen ZhangKe XiongXingcong TianYang LuPingyi FanKhaled Ben LetaiefPublished in: INFOCOM Workshops (2022)
Keyphrases
- multi user
- cellular networks
- inverse reinforcement learning
- power allocation
- resource allocation
- wireless networks
- cognitive radio networks
- virtual environment
- cognitive radio
- mobile users
- virtual world
- augmented reality
- base station
- user interface
- reward function
- multiple users
- mobile networks
- single user
- spectrum sensing
- rfid tags
- multi hop
- virtual reality
- state space
- wifi
- low cost
- wireless communication
- decision making