FWA Capacity Management via Actual Sector Usage Analysis
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Solution Overview
Problem
Current methods for managing capacity in fixed wireless access (FWA) broadband networks are inaccurate due to network conditions like densification and terrain changes, leading to incorrect sector allocation and resource mismanagement, resulting in poor user experience and resource wastage during congestion.
Innovation Solution
A capacity management system that collects and analyzes data over a period to identify actual sector usage, applies rules to generate modified data, calculates maximum data volumes, and adjusts sector allocations to match actual usage, thereby optimizing resource utilization and reducing congestion-related issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current capacity data and qualified sector data are used for capacity planning, then capacity calculations can be performed, but the accuracy is poor due to network conditions like densification and terrain changes causing incorrect sector allocation
Solution Approach 1:
The system performs preliminary data collection over a time period T before making capacity planning decisions. By gathering FWA data, sector data, and capacity data in advance and analyzing actual sector usage patterns before allocation, the system prepares accurate capacity calculations ahead of time, resolving the contradiction between having capacity calculation capability and achieving accurate results.
Solution Approach 2:
The system implements feedback by comparing qualified sector data with actual sector usage data collected over time period T. This feedback loop identifies discrepancies caused by network conditions and terrain changes, allowing the system to correct capacity calculations and improve accuracy by incorporating actual usage information back into the capacity planning process.
2Ease of operation
If sector allocations are based on qualified sectors without considering actual usage, then allocation can be simplified, but resource mismanagement and congestion occur
Solution Approach 1:
The system enables self-service by automatically collecting FWA data, sector data, and capacity data over time period T, then autonomously analyzing actual sector usage and adjusting allocations without manual intervention. This maintains operational simplicity while improving reliability through data-driven automated decisions that adapt to changing network conditions.
Solution Approach 2:
The system performs preliminary analysis of actual sector usage over time period T before making allocation decisions. By pre-processing and analyzing usage patterns, the system simplifies the allocation operation while ensuring reliability through informed decisions based on historical data and actual usage trends.
3Device complexity
If capacity data is not updated frequently, then system complexity is reduced, but near-real-time capacity management is not achieved
Solution Approach 1:
The system implements periodic action by collecting and processing capacity data over defined time periods T. This periodic approach balances complexity and speed by updating capacity information at regular intervals rather than continuously, achieving near-real-time management capability while controlling system complexity through structured periodic data collection and analysis cycles.
Data Source
AI summary
A device may receive, before a time period, current capacity data associated with sectors of an FWA network and qualified sector data identifying qualified sectors of FWA devices associated with the FWA network, and may receive, over the time period, FWA data associated with the FWA devices and corresponding sectors. The device may apply rules to the FWA data to generate modified FWA data, and may calculate maximum data volumes during the time period for the FWA devices based on the modified FWA data. The device may assign actual sectors to the FWA devices based on the maximum data volumes, and may compare the qualified sectors and the actual sectors to identify modified sectors. The device may modify the current capacity data based on the modified sectors and to generate modified capacity data associated with the sectors, and may perform actions based on the modified capacity data.