Wireless Service Gap Prioritization Using Multi-Factor RF Scoring
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Solution Overview
Problem
Existing methods and systems fail to prioritize service gaps in wireless networks, leading to reduced user service experience due to coverage loopholes or gaps, which are often caused by issues like poor antenna parameters, design dynamics, and physical obstructions, without providing effective solutions for optimization.
Innovation Solution
An electronic device and method that prioritize service gaps by determining area, morphology, RSRP bad samples, and user density factors to identify the severity of service cells, allowing RF engineers to optimize service cells and mitigate gaps effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If service gaps are identified and prioritized using multiple factors (area, morphology, RSRP bad samples, user density), then the precision of service optimization is improved, but the complexity of the system increases
Solution Approach 1:
The patent segments the service gap prioritization process into four distinct factor assessments: area factor, morphology factor, RSRP bad samples factor, and user density factor. Each factor is calculated and weighted separately, allowing the system to evaluate different aspects of service quality independently and combine them for a comprehensive prioritization score.
Solution Approach 2:
The patent creates a universal prioritization framework that can evaluate any service gap using the same four-factor methodology. This multi-functional approach allows the system to handle diverse service gap scenarios (different areas, morphologies, signal conditions, and user densities) through a single integrated assessment mechanism.
2Reliability
If comprehensive factors are used to prioritize service gaps, then the reliability of network optimization is improved, but the time required for analysis increases
Solution Approach 1:
The patent performs preliminary assessments of the four factors (area, morphology, RSRP bad samples, user density) for each service gap before final prioritization. By pre-calculating these factors and assigning weights, the system prepares the data structure in advance, enabling faster final prioritization decisions when needed.
Solution Approach 2:
The patent implements a feedback mechanism where the prioritization results are used to guide further network optimization actions. The system continuously monitors service gaps, recalculates priorities based on updated factors, and adjusts mitigation strategies accordingly, creating a closed-loop system that improves reliability over time.
Data Source
AI summary
Embodiments herein provide a method for prioritizing service gaps in a wireless network (1000) by an electronic device (100). The method includes receiving information about a plurality of service gaps. Further, the method includes determining a priority for each service gap of the plurality of service gaps based on an area factor, a morphology factor, a RSRP bad samples factor, and a user density factor of each service gap of the plurality of service gaps. Further, the method includes prioritizing the plurality of service gaps for mitigation based on the priority for each service gap of the plurality of service gaps.