Radio Base Station Handover Count Control for Energy Saving
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Solution Overview
Problem
In mobile communication systems, existing power-saving techniques that deactivate cells to reduce energy consumption can lead to increased transmission power and processing load in neighboring cells, potentially deteriorating communication quality due to inadequate consideration of handover numbers and load situations.
Innovation Solution
A communication control method that involves a radio base station counting handover numbers to and from a cell over a predetermined period, notifying an OAM apparatus, and deciding whether to power off the cell based on load situations and handover data to optimize energy saving while maintaining communication quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If a cell is powered off to reduce energy consumption, then power saving is improved, but transmission power and processing load in neighboring cells increase
Solution Approach 1:
The system implements feedback mechanisms by counting handover numbers to and from the deactivation target cell, and using this information to dynamically adjust power-saving decisions. The radio base station continuously monitors handover patterns and adjusts cell deactivation strategies based on actual network conditions, ensuring that power-saving actions do not cause excessive load on neighboring cells.
Solution Approach 2:
The invention changes the parameter of cell deactivation status based on handover count thresholds. By setting predetermined thresholds for handover numbers, the system dynamically adjusts whether to deactivate or activate cells based on current traffic patterns, thereby balancing energy consumption with transmission power requirements in neighboring cells.
2Use of energy by moving object
If a cell is powered off to reduce energy consumption, then power saving is improved, but communication quality deteriorates due to inadequate consideration of handover numbers
Solution Approach 1:
The system uses handover number feedback as a key metric to evaluate communication quality impact. By monitoring the number of handovers to and from the target cell, the system determines whether deactivation would cause excessive handover activity in neighboring cells, thereby maintaining communication quality while achieving power savings.
Solution Approach 2:
The system performs preliminary assessment of handover patterns before deactivating a cell. By counting handover numbers in advance and comparing them against predetermined thresholds, the system ensures that deactivation decisions are made only when they will not cause excessive load on neighboring cells, thus preventing communication quality deterioration.
3Reliability
If handover count information is monitored and used for power-saving decisions, then communication quality is maintained, but device complexity increases
Solution Approach 1:
The radio base station performs self-service by autonomously counting handover numbers and making deactivation decisions based on predetermined thresholds. The system does not require complex external coordination or manual configuration, as the deactivation target cell and thresholds are pre-configured, allowing automated decision-making that maintains communication quality without excessive control complexity.
Data Source
AI summary
A first radio base station counts a first handover number that is the number of handovers to a cell managed by the first radio base station and a second handover number that is the number of handovers from the cell in a predetermined period of time; and notifies a second radio base station or an operation, administration, and maintenance (OAM) apparatus of the first handover number and the second handover number.