Centralized Spectrum Sharing Using Reinforcement Learning

Spectrum sharing technologies are a kind of important technologies to overcome the shortage of the wireless spectrum, among which the centralized spectrum sharing exhibits superior performance in dense region. However, this method does suffer from large computational complexity and impractical implementation when optimization target is and overall system is complex. In this paper, reinforcement learning based centralized spectrum sharing is studied. Simulations results show that the proposed method holds good performance.