New Site Recommendation for Network Service Gap Mitigation

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Solution Overview

Problem

Existing systems fail to efficiently mitigate or eliminate service gaps in network coverage, leading to degraded network quality and user dissatisfaction.

Innovation Solution

A system and method for determining and recommending new sites to address service gaps by analyzing service gap areas, comparing them to potential new site areas, and calculating the number of recommended sites using geometric calculations and AI/ML algorithms to optimize network coverage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing network systems are used, then network coverage is provided, but service gaps remain and network quality deteriorates

Engineering Contradiction:

Improvenetwork coverage qualityVSAvoidservice gaps

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The service gap area is segmented into multiple smaller regions, and candidate sites are selected based on comparing individual site coverage areas with the segmented service gap. This segmentation enables precise identification of optimal site locations that can effectively address service gaps while avoiding unnecessary sites in already-covered areas.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The system evaluates and selects candidate sites based on local characteristics and their specific coverage capabilities. By comparing the area of each candidate site with the service gap area and considering local network conditions, the system determines the optimal number and location of sites to address service gaps in specific local regions rather than applying a uniform approach.

Inventive Principle:

Principle #3Local quality

2Reliability

If more sites are added to cover service gaps, then network coverage improves, but system complexity and cost increase

Engineering Contradiction:

Improvenetwork coverageVSAvoidsite management complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The system calculates the optimal number of sites needed by comparing service gap area with candidate site areas, avoiding both insufficient coverage and excessive site addition. This partial action approach ensures that only the necessary number of sites are deployed to achieve adequate coverage, preventing over-investment in network infrastructure.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The system dynamically adjusts the number of recommended sites based on changing parameters such as service gap area, candidate site areas, and network coverage requirements. By monitoring these parameters and recalculating site recommendations accordingly, the system maintains optimal network coverage while adapting to changing network conditions and avoiding unnecessary complexity.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12621676B2Systems and methods for service gap mitigation or elimination via new site recommendation

Publication Date: 2026.05.05 RAKUTEN SYMPHONY INC

AI summary

A method may include determining an area of a service gap and an area of a candidate site; multiplying the candidate site area by a predetermined percentage to determine a threshold; when the service gap area is greater than or equal to the threshold, dividing the service gap area by the candidate site area to determine a number of recommended sites; determining a centroid and a perimeter of the service gap; determining a perimeter section distance by dividing the perimeter of the service gap by the number of recommended sites; generating a new site shape based on the service gap centroid, a point on the service gap boundary, and the perimeter section distance; and determining a recommended site location based on a centroid of the new site shape.