BERTO introduces a prompt-conditioned BERT framework for cellular traffic forecasting that uses a balancing loss to enable flexible trade-offs between power consumption and SLA violations using natural language inputs.
Wireless traffic modeling and prediction using seasonal arima models,
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BERTO: Intent-Driven Network Time Series Forecasting via Natural Language Operator Preferences
BERTO introduces a prompt-conditioned BERT framework for cellular traffic forecasting that uses a balancing loss to enable flexible trade-offs between power consumption and SLA violations using natural language inputs.