18033060. MANAGING RESOURCES IN A RADIO ACCESS NETWORK simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

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MANAGING RESOURCES IN A RADIO ACCESS NETWORK

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

Luca Lunardi of Genoa (IT)

Henrik Ryden of Stockholm (SE)

Angelo Centonza of Granada (ES)

Pradeepa Ramachandra of Linkoping (SE)

Paul Schliwa-bertling of Ljungsbro (SE)

MANAGING RESOURCES IN A RADIO ACCESS NETWORK - A simplified explanation of the abstract

This abstract first appeared for US patent application 18033060 titled 'MANAGING RESOURCES IN A RADIO ACCESS NETWORK

Simplified Explanation

The patent application describes a computer implemented method for managing resources in a communication network. The method involves using machine learning to predict resource usage in a future time period based on historical data. The predicted resource status information is then sent to another node in the network for resource management purposes.

  • The method involves obtaining a record of resource status information for a communication network.
  • Machine learning is used to predict resource usage in the future based on the obtained record.
  • The predicted resource status information is sent to another node in the network.
  • The second node uses the received representation of predicted resource status information for resource management.

Potential Applications

  • Resource management in communication networks.
  • Optimization of resource allocation in a communication network.
  • Predictive maintenance of network resources.

Problems Solved

  • Inefficient resource allocation in communication networks.
  • Lack of predictive capabilities for resource usage.
  • Inability to optimize resource management based on future predictions.

Benefits

  • Improved resource allocation and utilization.
  • Cost savings through optimized resource management.
  • Enhanced network performance and reliability.


Original Abstract Submitted

A computer implemented method for managing resources in a RAN of a communication network is disclosed. The method, performed by a first node in the RAN, comprises obtaining a record of resource status information describing usage, during a historical time period and within a coverage area of the first node, of RAN resources controlled by the first node (), and using an ML process to predict, based on the obtained record, resource status information describing usage of RAN resources controlled by the first node within a coverage area of the first node and during a future time period (). The method further comprises sending, to a second node in the RAN, a representation of the predicted resource status information (). Also disclosed is a method performed by a second node in which the second node uses a received representation of predicted resource status information for RAN resources controlled by a first node in a process relating to management of RAN resources controlled by the second node ().

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