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cs.LG2023
Anomaly Detection for Scalable Task Grouping in Reinforcement Learning-based RAN Optimization
Jimmy Li, Igor Kozlov, Di Wu +2
The use of learning-based methods for optimizing cellular radio access networks (RAN) has received increasing attention in recent years. This coincides with a rapid increase in the…
cs.LG2023★ 2 cited
Self-Supervised Transformer Architecture for Change Detection in Radio Access Networks
Igor Kozlov, Dmitriy Rivkin, Wei-Di Chang +3
Radio Access Networks (RANs) for telecommunications represent large agglomerations of interconnected hardware consisting of hundreds of thousands of transmitting devices (cells). S…