Reinforcement Learning for Scheduling and Mimo beam Selection using Caviar Simulations

João Paulo Tavares Borges,Ailton Pinto De Oliveira,Felipe Henrique Bastos E Bastos,Daniel Takashi Né Do Nascimento Suzuki,Emerson Santos De Oliveira Junior, Lucas Matni Bezerra,Cleverson Veloso Nahum,Pedro dos Santos Batista, Aldebaro Barreto Da Rocha Klautau Júnior

2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K)（2021）

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摘要

This paper describes a framework for research on Reinforcement Learning (RL) applied to scheduling and MIMO beam selection. This framework consists of asking the RL agent to schedule a user and then choose the index of a beamforming codebook to serve it. A key aspect of this problem is that the simulation of the communication system and the artificial intelligence engine is based on a virtual worl...

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关键词

5G,6G,beam selection,MIMO,mmWave,RL

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