Fixed Wireless Internet Planning via SINR and Spectral Efficiency
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Solution Overview
Problem
Traditional methods for determining network coverage and capacity in fixed wireless internet (FWI) are inadequate, particularly in rural areas, as they fail to accurately capture the detailed aspects of wireless networks, leading to potential degradation in quality of service due to weak signal strength, interference, and resource competition.
Innovation Solution
A system and method that determine signal-to-interference-and-noise ratio (SINR) and spectral efficiency for user equipment within a defined coverage area, using processor-executed instructions to assess available throughput and prioritize user equipment based on carrier aggregation compatibility and data traffic, ensuring network services are provided while maintaining network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional link budget analysis and high level regression models are used for network planning, then the planning process is simplified, but the accuracy of determining network coverage and capacity is insufficient
Solution Approach 1:
The patent segments the network planning process into multiple detailed components: determining SINR for each user equipment, calculating spectral efficiency values, assessing available throughput, and evaluating carrier aggregation compatibility. This segmentation allows for precise measurement of network coverage and capacity while maintaining a structured planning approach that doesn't overwhelm complexity.
Solution Approach 2:
The patent performs preliminary actions by determining SINR and spectral efficiency values before final network deployment decisions. Carrier aggregation compatibility is assessed in advance, and user equipment is prioritized based on pre-calculated metrics. This preliminary analysis ensures accurate network coverage determination before committing to infrastructure investments.
2Area of stationary object
If FWI equipment is added to improve coverage in rural areas, then internet access is expanded, but quality of service may be degraded due to weak signal strength, interference, and resource competition
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring SINR values, spectral efficiency, and available throughput for each user equipment. Based on this feedback, the system identifies when quality of service thresholds are approached and triggers prioritization schemes or network upgrades. This feedback loop ensures that expansion doesn't compromise service reliability.
Solution Approach 2:
The patent applies local quality by assessing and optimizing network parameters for each user equipment individually rather than applying uniform standards. Carrier aggregation compatibility is determined on a per-user basis, and prioritization schemes are implemented locally at the cell level. This allows tailored quality of service management that maintains reliability even as coverage expands to challenging rural areas.
3Reliability
If network upgrades are performed to improve coverage and capacity, then service quality is enhanced, but infrastructure investment costs increase
Solution Approach 1:
The patent applies partial action by implementing prioritization schemes that focus network upgrades on specific user equipment or geographic areas where they provide maximum value. Rather than uniformly upgrading entire networks, the system identifies critical gaps in coverage or capacity and addresses those selectively. This approach maintains service quality for priority users while minimizing overall infrastructure investment.
Data Source
AI summary
Intelligent, automated, fixed wireless internet planning (e.g., using a computerized tool) is enabled. For instance, a system can comprise a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining, for a user equipment determined to be within a defined coverage area, a signal to interference and noise ratio, based on the signal to interference and noise ratio, determining a spectral efficiency value corresponding to the user equipment, based on the spectral efficiency value and a total available bandwidth of a network via which the defined coverage area is enabled, determining an available throughput corresponding to the user equipment, and in response to a determination that the available throughput exceeds a threshold throughput, designating the user equipment, in a data store, as being covered within the defined coverage area by the total available bandwidth of the network.