Cell Site Parameter Optimization via Cluster Segmentation
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Solution Overview
Problem
Current wireless telecommunication networks face inefficiencies due to holistic optimization approaches that fail to address individual cell site performance issues, leading to suboptimal conditions and increased administrative costs when attempting to optimize each site individually.
Innovation Solution
Implementing a central controller that optimizes individual cell sites or clusters based on common key performance indicators (KPIs), allowing for tailored adjustments to improve network performance without the need for geographic-based optimizations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If holistic network-wide optimization is used to configure cell sites, then time efficiency is improved, but individual cell site performance deteriorates
Solution Approach 1:
The patent segments cell sites into clusters based on geographic proximity and performance characteristics, allowing optimization to occur at multiple levels: network-wide for common issues and cluster-specific for localized problems. This segmentation enables parallel processing of different cell groups, maintaining time efficiency while improving individual performance through targeted adjustments.
2Reliability
If individual cell site optimization is implemented, then cell site performance is improved, but administrative cost increases
Solution Approach 1:
The patent merges multiple cell sites into clusters that share common optimization parameters and management procedures. By combining similar cell sites into groups, the system reduces administrative complexity through standardized cluster-level configurations while still allowing individual cell adjustments when needed, thus lowering the burden compared to fully individual optimization.
Solution Approach 2:
The system implements automated optimization algorithms that self-adjust cell site parameters based on monitored performance metrics without requiring manual administrative intervention. This self-service capability continuously optimizes cell performance while minimizing administrative overhead, as the system autonomously identifies and implements configuration changes.
3Reliability
If geographic-based optimization is used, then regional performance is improved, but adaptability to non-geographic factors deteriorates
Solution Approach 1:
The patent applies local quality by customizing optimization parameters for specific clusters based on their unique characteristics rather than applying uniform geographic rules. Each cluster receives tailored optimization configurations that address its specific performance issues, whether geographic or non-geographic in nature, thereby maintaining both regional effectiveness and adaptability to diverse factors.
Data Source
AI summary
Systems and methods are provided to administer a wireless telecommunication network (WTN) having a plurality of cell sites. Network data is received from a data source for a subject cell site. A baseline performance of the subject cell site is determined. Parameters to optimize for the subject cell site based on the baseline performance are identified. An uplink (UL) transmission power of the subject cell site based on a VoLTE drop call rate is adjusted. A downlink (DL) transmission power of a cell specific reference signal (CRS) of the subject cell site is adjusted. A handover operation between the subject cell site and a second cell site is adjusted. A transmission range of the subject cell site is adjusted.