Cell Size Change Notification for Self-Optimization
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Solution Overview
Problem
Current cellular radio systems face challenges in efficiently updating self-optimization parameters, particularly in responding to changes in cell size while maintaining noise insensitivity, leading to suboptimal performance in load balancing, neighbor cell relations, and control channel configurations.
Innovation Solution
A method and apparatus that transmit messages indicating cell size changes to affected cells, allowing for adaptive adjustment of self-optimization parameters, enabling quicker responses to changes without compromising noise sensitivity by transitioning between low and high intensity optimization states based on the nature of changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If distributed self-optimization mechanisms are used to adapt parameters to cell size, then system performance is improved, but responsiveness to cell size changes is delayed due to noise insensitivity requirements
Solution Approach 1:
The system performs preliminary actions by proactively notifying affected cells of upcoming cell size changes before they take effect. This allows neighboring cells to pre-adjust their self-optimization parameters, eliminating the delay that would otherwise occur while waiting for noise-filtered detection of the actual change. The notification mechanism enables advance preparation without compromising the noise insensitivity of continuous monitoring.
Solution Approach 2:
The invention implements a feedback mechanism where cell size change notifications are transmitted to affected cells, which then adjust their parameters accordingly. This closed-loop feedback system ensures that cells respond appropriately to network reconfigurations while maintaining the ability to filter out noise in continuous operation, resolving the contradiction between responsiveness and noise insensitivity.
2Productivity
If cell size changes are implemented to balance traffic, then load distribution is improved, but parameter synchronization across cells becomes complex
Solution Approach 1:
The system uses an intermediary notification mechanism that mediates between the cell initiating a size change and its affected neighbors. Instead of requiring complex direct synchronization between all cells, the notification system acts as an intermediary that automatically propagates change information, simplifying the coordination complexity while achieving proper parameter alignment across the network.
Solution Approach 2:
The invention segments the parameter update process by identifying and notifying only the specific affected cells that need to adjust their parameters, rather than requiring all cells in the network to synchronize. This selective approach reduces the complexity of parameter synchronization to only the necessary subset of cells, maintaining traffic balance without overwhelming coordination overhead.
3Measurement precision
If noise filtering is applied to self-optimization measurements, then measurement accuracy is improved, but response time to actual changes increases
Solution Approach 1:
By implementing preliminary notification of cell size changes, the system eliminates the need to wait for noise-filtered detection of the change. Affected cells receive advance notice and can immediately begin parameter adjustment, achieving fast response time while the notification system itself maintains measurement accuracy through proper filtering of genuine changes from noise.
Data Source
AI summary
In a cellular radio system a message indicating a change of cell size can be transmitted to a number of affected cells, in particular, neighboring cells. The affected cells receiving such a message can be adapted to use the information in the message when determining self-optimization parameters used for control purposes. Hereby, better response times can be achieved without reducing noise sensitivity.