Wireless Access Point Installation Analyzer
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Solution Overview
Problem
Conventional techniques for installing wireless access points are inefficient as they do not effectively assess the financial viability of installing new access points in geographical regions, leading to potential financial losses for service providers.
Innovation Solution
An analyzer resource calculates a metric for each geographical region based on mobile device usage density and available network resources, considering installation costs and anticipated revenue, generating a map that visually indicates the desirability of installing new access points, thereby identifying regions with the highest return on investment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wireless access points are installed in high traffic areas, then mobile device coverage is improved, but installation costs increase without guaranteed financial return
Solution Approach 1:
The system performs preliminary analysis before installation by collecting mobile device usage data, calculating usage metrics for different geographical regions, and identifying high-value installation locations in advance. This prevents wasteful spending on locations that won't generate sufficient return.
Solution Approach 2:
The system continuously collects mobile device usage data and feeds it back into the analysis engine, which recalculates usage metrics and updates installation recommendations. This feedback loop ensures that installation decisions are based on current, accurate information about actual usage patterns.
2Measurement precision
If comprehensive analysis of all geographical regions is performed, then optimal installation locations are identified, but analysis time and computational resources increase
Solution Approach 1:
The system divides the service area into multiple geographical regions and calculates usage metrics independently for each region. This allows focused analysis on specific areas rather than treating the entire service area as one unit, improving both precision and efficiency.
Solution Approach 2:
The system calculates multiple different usage metrics (such as number of devices, usage duration, data consumption) for each geographical region, allowing flexible analysis at different levels of detail and enabling quick comparison between regions based on various parameters.
Data Source
AI summary
An analyzer resource receives density information indicating mobile device usage in each of multiple geographical regions. The analyzer resource further receives resource information indicating locations of physical network resources available to support installation of wireless access points in the geographical regions and the location of any existing wireless access points already installed. The analyzer resource then uses at least the density information and the resource information to produce a respective metric for each of the multiple geographical regions. The respective metric for a corresponding geographical region indicates a desirability of installing a respective wireless access point in the corresponding geographical region. Further disclosed embodiments herein include generating a respective map indicating in which respective geographical regions it is desirable to install a respective wireless access point.