Mode Selection and Resource Allocation in Sliced Fog Radio Access Networks: A Reinforcement Learning Approach

13 Feb 2020 Xiang Hongyu Peng Mugen Sun Yaohua Yan Shi

The mode selection and resource allocation in fog radio access networks (F-RANs) have been advocated as key techniques to improve spectral and energy efficiency. In this paper, we investigate the joint optimization of mode selection and resource allocation in uplink F-RANs, where both of the traditional user equipments (UEs) and fog UEs are served by constructed network slice instances... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Categories


  • NETWORKING AND INTERNET ARCHITECTURE
  • SIGNAL PROCESSING