Central Controller for Dynamic RF Configuration in Cellular Networks
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Solution Overview
Problem
Existing wireless telecommunication networks face inefficiencies in managing radio spectrum due to the need for manual adjustments of layer parameters, which are time-intensive and costly, leading to suboptimal network performance and user experience.
Innovation Solution
Implementing a central controller that dynamically adjusts layer parameters, such as power allocation proportion ratios, by collecting and analyzing baseline and post-adjustment network metrics using Key Performance Indicators (KPIs) to optimize network performance automatically, with features like K-Means Clustering Algorithm for real-time analysis and optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustments of layer parameters are performed, then network performance can be optimized, but the process is time-intensive and costly
Solution Approach 1:
The system implements self-service through automated detection and adjustment mechanisms. The central controller automatically monitors network metrics, detects performance degradation, identifies root causes, and adjusts layer parameters without manual intervention, enabling the network to optimize itself continuously
Solution Approach 2:
The system establishes a closed-loop feedback mechanism where network metrics are continuously collected, analyzed, and used to trigger automated adjustments. The central controller receives feedback from network performance measurements and uses this information to dynamically adjust layer parameters, creating a self-correcting system
2Reliability
If manual adjustments of layer parameters are performed, then network performance can be optimized, but manual engineering effort is required
Solution Approach 1:
The system performs self-diagnosis and self-optimization by automatically monitoring network health, detecting performance issues, identifying root causes through correlation analysis, and executing parameter adjustments without requiring manual engineering intervention
Solution Approach 2:
The patent replaces manual mechanical adjustment processes with automated electronic control systems. The central controller uses software-based algorithms to detect, analyze, and adjust network parameters, substituting human operators with an automated decision-making system
3Adaptability or versatility
If dynamic adjustment of layer parameters is implemented, then real-time responsiveness to changing network conditions is achieved, but system complexity increases
Solution Approach 1:
The central controller serves as an intermediary between network monitoring and parameter adjustment functions. It consolidates the complexity of real-time analysis and decision-making in a single centralized unit, allowing individual network elements to remain relatively simple while achieving system-wide adaptability
Solution Approach 2:
The central controller is designed as a universal platform that performs multiple functions including metric collection, analysis, root cause identification, parameter adjustment, and validation. This multi-functional approach consolidates complexity into a single system rather than distributing it across multiple specialized components
Data Source
AI summary
Methods for configuring a cellular telecommunication network are disclosed. A radio frequency (RF) configuration of a selected base station is adjusted to a predetermined setting. A baseline signature is determined based on a plurality of key performance indicators (KPIs). A characteristic of the RF configuration is changed to an updated setting. An updated signature is determined based on measurements of the KPIs after the characteristic is adjusted. The baseline signature and updated signature are analyzed to determine a composite difference profile based on the adjusted characteristic. It is determined that the composite difference profile represents a net improvement in performance of the cellular communication network based on one or more criteria and the adjusted characteristic is maintained as part of a new baseline configuration.