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RL for User Selection in MU-MIMO Systems by SajidBashir is a document available to read on EtoBox.

What is RL for User Selection in MU-MIMO Systems about?

The document presents a novel reinforcement learning (RL)-based user selection method for multi-user multiple input multiple output (MU-MIMO) systems aimed at optimizing bandwidth utilization in future cellular networks. It discusses the challenges of user selection criteria and compares the proposed RL method with existing state-of-the-art techniques, highlighting its potential for improving system throughput. The paper also provides a comprehensive overview of related work, technical background on RL and

Author

SajidBashir

Language

EN