KPI-Based Antenna Tilt Range Selection for Wireless Networks
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Solution Overview
Problem
Existing automatic RF optimization methods, such as cell-based and area-based approaches, fail to consider network-wide coordination, leading to inefficiencies and variability in antenna tilt adjustments, which affects the overall Quality of Service (QoS) in wireless cellular telecommunications networks.
Innovation Solution
A computer-implemented method for determining a tilt range for each cell in a wireless cellular telecommunications network, which involves calculating metrics such as retainability, capacity, uplink quality, downlink quality, and cell parameters, and then classifying cells into categories based on these metrics to determine appropriate tilt ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual RF tuning is performed by skilled engineers, then adjustment recommendations can be made based on expert experience, but the process becomes time and labour intensive with significant variability
Solution Approach 1:
The system enables self-service automatic RF tuning by allowing the network to self-diagnose and self-optimize through automated analysis of KPIs and generation of tilt adjustment recommendations, eliminating the need for manual engineer intervention while maintaining consistent quality
Solution Approach 2:
The system changes the state of RF optimization from manual parameter adjustment to automated parameter optimization by using algorithms to analyze KPIs and determine optimal tilt ranges, transforming the tuning process into an automated computational task
2Ease of operation
If cell-based optimization is performed independently for each cell, then individual cell adjustments can be made, but network-wide coordination is lost leading to variability
Solution Approach 1:
The system merges individual cell optimization with network-wide coordination by analyzing KPIs across the entire network and generating coordinated tilt adjustment recommendations that consider both individual cell needs and overall network performance
Solution Approach 2:
The system provides a universal optimization framework that can operate at multiple levels - individually for each cell and collectively for the entire network - allowing the same system to serve both localized and global optimization needs simultaneously
3Productivity
If automatic RF design tools are used, then costs and delivery time are reduced, but coordination between multiple cells is still complicated
Solution Approach 1:
The system uses feedback from network KPIs to automatically adjust and coordinate tilt recommendations across multiple cells, creating a closed-loop system that continuously monitors performance and makes coordinated adjustments without manual intervention
Solution Approach 2:
The system introduces an automated intermediary layer that mediates between individual cell requirements and network-wide coordination needs, using algorithmic analysis to balance local and global optimization objectives
Data Source
AI summary
A computer-implemented method for determining a tilt range for each cell (300) of a plurality of cells of a wireless cellular telecommunications network, each cell (300) having at least one antenna (20). The method comprises the steps of: for each cell (300) of the plurality of cells, determining a value for each of a plurality of metrics, the plurality of metrics comprising: a metric indicative of retainability, a metric indicative of capacity, a metric indicative of uplink, UL, quality, a metric indicative of downlink, DL, quality, and a cell parameter; determining respective thresholds for each metric; for each cell (300) of the plurality of cells, classifying the cell (300) into one of a plurality of categories based on a comparison of the determined values of the plurality of metrics of the cell (300) to the corresponding thresholds, wherein each category of the plurality of categories has an associated range of tilt values; and determining, for each cell (300) of the plurality of cells, the tilt range for that cell (300) as the range of tilt values associated with the category into which the cell (300) is classified.