Heuristically Accelerated Reinforcement Learning for Dynamic Secondary Spectrum Sharing
This paper examines how flexible cellular system architectures and efficient spectrum management techniques can be used to play a key role in accommodating the exponentially increasing demand for mobile data capacity in the near future.The efficiency of the use of radio spectrum for wireless communications can be dramatically increased by dynamic s