Wireless Cell Prioritization for Antenna Disorientation Impact
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Solution Overview
Problem
Existing methods for addressing disoriented cells in wireless networks require frequent field visits and manual intervention, leading to increased costs and inefficiencies, and lack the ability to prioritize these issues effectively, resulting in suboptimal network performance and user experience.
Innovation Solution
A method and electronic device that prioritize disoriented cells based on morphology factors, cell types, PRB utilization, and RRC connected users, enabling precise identification of severity and optimizing network performance by determining which cells to address first.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field visits and manual measurements are conducted regularly to check antenna alignment, then antenna parameter accuracy is improved, but operating cost and time consumption increase
Solution Approach 1:
The system enables self-service by allowing the wireless network to automatically detect and identify disoriented cells using existing network signaling and measurement data. The network infrastructure itself generates the diagnostic information without requiring external field visits, thus reducing time consumption while maintaining detection accuracy.
Solution Approach 2:
The patent replaces the mechanical field visit system with an electronic/digital measurement system. Instead of physically visiting sites to measure antenna parameters, the system uses network signaling, reference signals, and computational algorithms to automatically determine antenna orientation and identify misaligned cells, eliminating the need for manual mechanical measurement processes.
2Measurement precision
If field visits are conducted regularly to correct antenna parameter mismatches, then database accuracy is improved, but operating cost increases
Solution Approach 1:
The system performs self-diagnosis and self-identification of disoriented cells using automated network measurements and algorithms. This eliminates the need for costly manual field visits while maintaining accurate identification of antenna parameter mismatches, thereby improving database accuracy without increasing operating costs.
Solution Approach 2:
The patent substitutes expensive manual field measurement and correction processes with automated electronic systems that use network signaling and computational analysis to identify and flag antenna parameter issues, significantly reducing operating costs while maintaining or improving database accuracy.
3Area of stationary object
If all disoriented cells are treated equally without prioritization, then comprehensive coverage is maintained, but network optimization efficiency decreases
Solution Approach 1:
The system applies local quality by differentiating between various types of disoriented cells and assigning different priority levels based on their specific characteristics and impact. Instead of treating all cells uniformly, the system identifies critical cells that require immediate attention versus less critical ones, enabling targeted optimization that maintains comprehensive coverage while improving efficiency.
Solution Approach 2:
The patent segments the set of all disoriented cells into multiple priority categories or groups based on their severity and impact on network performance. This segmentation allows the optimization process to focus resources on the most critical cells first, thereby improving overall optimization efficiency while still addressing comprehensive coverage requirements.
4Measurement precision
If manual prioritization of disoriented cells is performed, then optimization focus is improved, but productivity decreases due to manual intervention
Solution Approach 1:
The system performs automated prioritization by itself, using algorithms that evaluate disoriented cells based on multiple parameters such as signal strength, user impact, and geographic importance. This self-service capability eliminates manual intervention entirely, achieving both high prioritization accuracy and improved productivity through automated processing.
Solution Approach 2:
The patent replaces manual prioritization processes with automated computational systems that use network data, algorithms, and processing power to rapidly assess and rank disoriented cells. This substitution maintains or improves prioritization accuracy while dramatically increasing optimization speed and productivity by eliminating manual bottlenecks.
Data Source
AI summary
Embodiments herein provide a method for prioritizing disoriented cells in a wireless network by an electronic device. The method includes determining a morphology factor of each disoriented cell of a plurality of disoriented cells. Further, the method includes determining a cell type of each disoriented cell of the plurality of disoriented cells based on the morphology factor of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a PRB utilization of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a number of RRC connected users of each disoriented cell of the plurality of disoriented cells. Further, the method includes determining a priority for each disoriented cell of the plurality of disoriented cells based on the morphology factor, the cell type, the PRB utilization, and the RRC connected users.