Real-Time Availability Calculator for Phased Cell Site Upgrades
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Solution Overview
Problem
Conventional telecommunications networks lack a standardized tool for equitable distribution of availability metrics during software upgrades, leading to inequitable impact on customer satisfaction and availability in different markets.
Innovation Solution
An equitable availability distribution real-time calculator that receives outage indications, selects cell sites for updates, and determines the impact using real-time data to ensure availability requirements are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software upgrades are deployed to all cell sites simultaneously, then network modernization is accelerated, but customer satisfaction and availability are significantly degraded
Solution Approach 1:
The patent segments the cell sites into different geographic markets and divides the upgrade deployment into phased batches. Each market receives updates at different times rather than all simultaneously, allowing the network to maintain operational stability while progressively modernizing. This segmentation enables controlled rollouts that balance productivity gains with reliability maintenance.
Solution Approach 2:
The system dynamically adjusts the availability metric thresholds and deployment pacing based on real-time network conditions and market-specific requirements. The equitable availability distribution calculator continuously monitors and adapts the update schedule, allowing faster deployment in markets with higher redundancy while slowing down in critical markets, thus optimizing both modernization speed and service reliability.
2Reliability
If software upgrades are deployed to cell sites in different markets at different times, then customer satisfaction is maintained, but the deployment process becomes complex and unstandardized
Solution Approach 1:
The patent implements a universal equitable availability distribution calculator that can be applied across all markets and cell sites. This single standardized tool performs multiple functions: calculating availability metrics, determining optimal deployment timing, and generating deployment schedules. By providing a multi-functional platform, the system maintains standardized deployment processes while adapting to diverse market requirements.
Solution Approach 2:
The system standardizes the deployment process by changing key parameters dynamically rather than creating different processes for each market. The calculator adjusts availability thresholds, deployment rates, and timing parameters based on market-specific inputs, allowing a single standardized algorithm to handle diverse scenarios. This parameter-based adaptation reduces procedural complexity while maintaining customized deployment strategies.
3Ease of operation
If availability metrics are calculated without real-time data, then deployment planning is simpler, but the accuracy of availability impact assessment is reduced
Solution Approach 1:
The patent incorporates real-time feedback loops where the equitable availability distribution calculator continuously receives actual network performance data and customer impact metrics. This feedback is used to refine availability calculations and adjust deployment schedules in near-real-time. The system balances operational simplicity with accurate assessment by using automated data collection and processing that requires minimal manual intervention while maintaining high measurement precision.
Data Source
AI summary
Systems and methods are provided for providing an equitable availability distribution real-time calculator. More particularly, systems and methods reduce the potential for telecommunications outages following upgrades and allow markets better control over availability metrics. To do so, an outage indication is initially received that identifies a plurality of cell sites affected by an outage and a timeframe for an update corresponding to the outage to be deployed to each of the plurality of cell sites. A selection of a portion of the plurality of cell sites to deploy the update at a particular time within the timeframe is received. Real-time data is received from each cell site of the portion of the plurality of cell sites corresponding to the particular time within the timeframe. Using the real-time data, the impact of deploying the update for the portion of the plurality of cell sites at the particular time is determined.