Throughput Maximization for RF Powered Cognitive NOMA Networks With Backscatter Communication by Deep Reinforcement Learning.
Shaoai GuoXiaohui ZhaoWei ZhangPublished in: IEEE Trans. Wirel. Commun. (2024)
Keyphrases
- reinforcement learning
- high bandwidth
- computer networks
- response time
- low latency
- decision making
- objective function
- multi agent
- packet switched
- social networks
- communication systems
- division multiple access
- machine learning
- radio frequency
- autonomous learning
- state space
- function approximation
- communication cost
- neural network
- sensor networks
- cross section
- reinforcement learning algorithms
- cognitive science
- end to end
- markov decision processes
- information sharing