Reinforcement Learning for Self-Organization and Power Control of Two-Tier Heterogeneous Networks

17 Mar 2019 Amiri Roohollah Almasi Mojtaba Ahmadi Andrews Jeffrey G. Mehrpouyan Hani

Self-organizing networks (SONs) can help manage the severe interference in dense heterogeneous networks (HetNets). Given their need to automatically configure power and other settings, machine learning is a promising tool for data-driven decision making in SONs... (read more)

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  • INFORMATION THEORY
  • INFORMATION THEORY