Decentralized Automotive Radar Spectrum Allocation to Avoid Mutual Interference Using Reinforcement Learning.
Pengfei LiuYimin LiuTianyao HuangYuxiang LuXiqin WangPublished in: IEEE Trans. Aerosp. Electron. Syst. (2021)
Keyphrases
- reinforcement learning
- multi agent
- cognitive radio networks
- spectrum sensing
- received signal
- resource allocation
- cooperative
- function approximation
- signal processing
- cognitive radio
- state space
- automotive industry
- markov decision processes
- peer to peer
- distributed systems
- optimal policy
- multi agent reinforcement learning
- automatic target recognition
- learning algorithm
- optimal allocation
- machine learning
- weather data
- reinforcement learning algorithms
- dynamic allocation
- millimeter wave
- neural network
- radar signal
- multi robot systems
- target recognition
- learning capabilities
- temporal difference
- model free
- multipath
- signal to noise ratio