O-RAN Cell Activation Control for Dynamic Energy Saving
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Solution Overview
Problem
Current methods for deactivating cells in radio access networks (RAN) are based on static thresholds, which fail to adapt to dynamically changing traffic patterns, leading to inefficient energy consumption and increased operational expenses.
Innovation Solution
Implementing an apparatus and method within the O-RAN architecture that uses AI to dynamically control cell activation and deactivation based on real-time traffic conditions, utilizing an energy saving xApp and RIC to manage E2 nodes through intelligent cell ID lists and reporting mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If static threshold methods are used for cell deactivation, then the system is simple to operate, but energy consumption efficiency deteriorates due to inability to adapt to dynamic traffic patterns
Solution Approach 1:
The patent implements dynamic cell deactivation thresholds that automatically adjust based on real-time traffic patterns and network conditions. Instead of using fixed static thresholds, the system continuously monitors traffic load, user equipment density, and service requirements to dynamically determine optimal deactivation thresholds, enabling energy-efficient operation while adapting to changing network demands
Solution Approach 2:
The system incorporates feedback mechanisms where network performance metrics, energy consumption data, and traffic patterns are continuously monitored and fed back to the threshold adjustment algorithm. This closed-loop control enables the system to learn from past performance and optimize deactivation thresholds over time, balancing energy savings with network performance requirements
2Use of energy by moving object
If cells are deactivated to save energy, then energy consumption is reduced, but network coverage and service reliability may deteriorate
Solution Approach 1:
The patent changes the operational parameters of cells dynamically based on network conditions. Instead of binary on/off decisions, the system adjusts deactivation thresholds as continuous parameters that reflect current traffic demands, service priorities, and coverage requirements. This enables nuanced control where cells can be deactivated during low-demand periods while maintaining reliability during high-demand periods
Solution Approach 2:
The system performs preliminary assessments before cell deactivation by evaluating multiple criteria including traffic load, user equipment distribution, service type requirements, and alternative coverage options. This preliminary analysis ensures that cells are only deactivated when it is safe to do so without compromising network reliability, and preparatory measures are put in place to quickly reactivate cells if needed
Data Source
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AI summary
Disclosed is a method performed a network entity in a wireless communication system using an open-radio access network (O-RAN), the network entity including at least one of a non-real-time RAN intelligent controller (non-RT RIC) and near-RT RIC, the method comprises configuring at least one node with a list of cell IDs representing cells to be activated or deactivated based on a condition in a network, and transmitting, to the at least one node, information including the list of cell IDs.