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1. 1. Scalable Distributed Reinforcement Learning for Radio Resource Management

   University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Author : Frida Svensson; [2021]
   Keywords : Machine learning; Artificiial Intellegence; Telecommunication;

   Abstract : There is a large potential for automation and optimization in radio access networks (RANs) using a data-driven approach to efficiently handle the increase in complexity due to the steep growth in traffic and new technologies introduced with the development of 5G. Reinforcement learning (RL) has natural applications in RAN control loops such as link adaptation, interference management and power control at different timescales commonly occurring in the RAN context. READ MORE