Wireless Device Cell Utilization Estimation
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Solution Overview
Problem
Cellular devices lack the ability to estimate network loading, which affects their performance in terms of throughput, quality of service, and battery life, as this information is currently only available to network operators.
Innovation Solution
A method for wireless user equipment (UE) devices to measure physical layer characteristics and calculate the utilization of a serving cell, allowing them to estimate available bandwidth and make informed decisions about resource allocation, such as switching to a different cell or adjusting communication technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network loading information is only provided to network operators, then network control and management is simplified, but device performance optimization is limited
Solution Approach 1:
The wireless device performs self-service by autonomously measuring physical layer metrics (RSSI, RSRP, RSRQ, SINR) and calculating cell utilization estimates without requiring network operator intervention. This enables the device to independently optimize its communication performance while the network maintains simplified control architecture.
Solution Approach 2:
The device implements a feedback mechanism where measured physical layer metrics are continuously monitored and used to calculate cell utilization estimates. This feedback loop enables dynamic adaptation of communication parameters based on real-time network conditions, improving throughput and battery efficiency.
2Productivity
If devices autonomously estimate cell utilization, then performance optimization is enabled, but device complexity increases
Solution Approach 1:
The device uses universal physical layer measurement capabilities that are already present in standard wireless equipment to perform multiple functions: measuring signal strength, interference levels, and quality metrics. These same measurements are then reused for cell utilization estimation, avoiding the need for separate dedicated measurement systems.
Solution Approach 2:
The patent introduces an intermediary calculation layer that transforms readily available physical layer metrics into cell utilization estimates. Rather than directly measuring complex utilization parameters, the device uses intermediate metrics (RSSI, RSRP, etc.) that are already being measured for other purposes, simplifying the overall process.
3Productivity
If devices continuously monitor network conditions, then performance adaptation is improved, but energy consumption increases
Solution Approach 1:
The device performs cell utilization estimation periodically rather than continuously, measuring physical layer metrics at scheduled intervals. This periodic measurement approach maintains performance adaptation capability while significantly reducing the energy consumption associated with constant monitoring and processing.
Solution Approach 2:
The device performs partial monitoring by selectively measuring only the essential physical layer metrics needed for cell utilization estimation (RSSI, RSRP, RSRQ, SINR) rather than continuously monitoring all available network parameters. This selective measurement approach reduces computational overhead and energy consumption while maintaining effective performance adaptation.
Data Source
AI summary
Estimating loading and potential available throughput a serving cell of a wireless user equipment (UE) device. Physical layer metrics of a channel on which the UE communicates with the serving cell may be measured. Cell utilization of the serving cell may be calculated based at least in part on the measured physical layer metrics. A maximum available throughput of the serving cell may be calculated based on the cell utilization.