RIC Platform Energy Management Using AI/ML for xApp and rApp Scheduling
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Solution Overview
Problem
Existing radio access network intelligent controller (RIC) platforms lack standard mechanisms to monitor and optimize the energy consumption of applications (xApps and rApps) and platform services, leading to inefficient energy usage in complex 5G networks.
Innovation Solution
Implementing an energy management functionality within the RIC platform to monitor and analyze the energy consumption of xApps and rApps, using AI/ML to identify trends and take corrective actions, such as adjusting configurations and scheduling operations to reduce energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If RIC platforms run multiple xApps and rApps to enhance network intelligence and automation, then network automation and intelligence are improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic parameter adjustment by monitoring energy consumption metrics of xApps and rApps in real-time, and adjusting their operational parameters (such as execution frequency, resource allocation, or suspension) based on energy thresholds and network conditions, thereby resolving the contradiction between automation extent and energy consumption
Solution Approach 2:
The system establishes a feedback mechanism where energy consumption data from RIC applications is continuously collected, analyzed, and used to trigger corrective actions (such as suspending high-energy applications or adjusting their parameters), creating a closed-loop control system that balances automation benefits with energy efficiency
2Adaptability or versatility
If RIC platforms execute multiple intelligent applications simultaneously to provide comprehensive network management, then network management capability is improved, but energy efficiency deteriorates
Solution Approach 1:
The patent applies partial action by selectively managing application execution based on energy consumption levels - not all applications are suspended, but only those exceeding energy thresholds or showing excessive consumption patterns, thereby maintaining network management capability while improving energy efficiency
Solution Approach 2:
The system implements periodic energy consumption monitoring and evaluation cycles, where applications are assessed at regular intervals and their execution status (continue, suspend, or adjust) is determined based on accumulated energy metrics and network performance requirements, balancing versatility with energy efficiency
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for energy management functionality in a radio access network intelligent controller platform service. One method may include transmitting, by an energy management entity, to a near-real time radio access network intelligent controller application repository function, at least one request for a list of registered near-real time radio access network intelligent controller applications from a plurality of registered near-real time radio access network intelligent controller applications; receiving, by the energy management entity, from the near-real time radio access network intelligent controller application repository function, the list of registered near-real time radio access network intelligent controller applications from among the plurality of registered near-real time radio access network intelligent controller applications; and analyzing, by the energy management entity, energy consumption trends of the list of registered near-real time radio access network intelligent controller applications to identify at least one trend or action.