Wireless Deployment Venue Value Index Calculation

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Solution Overview

Problem

Mobile network operators and enterprise building owners face challenges in determining the return on investment (ROI) for deploying wireless communication systems, as existing methods neglect various factors influencing the ROI, leading to inefficient capital use, especially in indoor areas.

Innovation Solution

An apparatus and method that identify wireless coverage issues, calculate a venue value index (VVI) based on total cost of ownership, data demand, and average spectrum efficiency, and perform network administrative tasks to determine the best areas for wireless communication deployment, optimizing ROI.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of manufacture

If wireless communication is deployed based on traditional assumptions (dense urban areas or high occupancy buildings), then deployment simplicity is improved, but return on investment deteriorates due to neglecting additional factors influencing ROI

Engineering Contradiction:
Improvedeployment simplicityVSAvoidreturn on investment
Core Design Contradiction:
Ease of manufactureVSReliability

Solution Approach 1:

The patent changes the evaluation parameters for deployment decision-making by introducing a comprehensive ROI calculation framework that incorporates multiple factors beyond traditional assumptions. The system calculates ROI based on data demand, cost of ownership, spectrum efficiency, and coverage improvement metrics, transforming the deployment criteria from simple demographic assumptions to a multi-parameter optimization approach that accurately reflects investment value in diverse locations including indoor areas

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the deployment evaluation process into distinct analytical components: data demand analysis, cost of ownership calculation, spectrum efficiency measurement, and coverage improvement assessment. This segmentation allows each factor to be evaluated independently and then integrated into a comprehensive ROI metric, enabling more precise and reliable investment decisions compared to traditional holistic assumptions

Inventive Principle:
Principle #1Segmentation

2Reliability

If comprehensive factors are considered for ROI calculation, then return on investment is improved, but deployment complexity increases due to multiple factors to evaluate

Engineering Contradiction:
Improvereturn on investmentVSAvoiddeployment complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent creates a universal deployment evaluation system that handles multiple evaluation factors through a single integrated framework. The ROI calculation apparatus universally processes data demand, cost of ownership, spectrum efficiency, and coverage metrics through standardized algorithms, providing a multi-functional solution that simplifies complex multi-factor analysis into a unified deployment decision-making tool applicable across diverse scenarios

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent performs preliminary calculations and assessments of all relevant factors (data demand, cost metrics, spectrum efficiency, coverage conditions) before making deployment decisions. By pre-computing these parameters and establishing baseline metrics, the system reduces the complexity of real-time decision-making and enables more efficient evaluation of deployment options based on pre-analyzed data

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10966099B2Computing wireless deployment in an area
Publication Date: 2021.03.30 NOKIA SOLUTIONS & NETWORKS OY
  • US10966099B2 patent drawing
  • US10966099B2 patent drawing
  • US10966099B2 patent drawing

AI summary

Various communication systems may benefit from determining a venue value index before deploying wireless communication in the area. A method may include identifying the one or more wireless coverage issues within an area. The method may also include receiving data demand information for the area having the identified one or more wireless coverage issues. In addition, the method may include receiving or determining a total cost of ownership. The total cost of ownership may include a cost of fixing the one or more wireless coverage issues within the area. Further, the method may include calculating a venue value index of the area based on at least one of the total cost of ownership, the data demand information, or an average spectrum efficiency. The method may in addition include performing at least one network administrative task based on the venue value index.