UE Network Load Estimation via Multi-Layer Metrics
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Solution Overview
Problem
Current wireless communication systems lack the capability for wireless user equipment (UE) devices to estimate cellular network loading, which affects performance metrics like throughput, quality of service, and battery life, and this information is only available to network operators, not the devices themselves.
Innovation Solution
A method for a UE device to estimate cellular network loading using various metrics such as received signal strength indicator (RSSI) measurements, interference metrics, block error rate estimates, and upper layer derived metrics, allowing the device to optimize its operations based on network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network operators maintain centralized control over network loading information, then network security and data integrity are preserved, but device performance optimization is limited due to lack of loading information
Solution Approach 1:
The patent introduces measurement reports as an intermediary mechanism that allows UE devices to obtain network loading information indirectly through standardized measurement procedures. The UE measures reference signals and reports metrics like RSSI, RSRP, and RSRQ to the network, which then provides loading information to the device without exposing centralized control structures.
Solution Approach 2:
The patent implements a feedback loop where the network provides loading information to the UE based on measurement reports, and the UE uses this information to adjust its operational parameters. This feedback mechanism enables device performance optimization while maintaining network security through controlled information flow.
2Measurement precision
If multiple measurement metrics are collected to improve load estimation accuracy, then measurement precision increases, but device complexity and processing requirements increase
Solution Approach 1:
The patent segments the load estimation process into distinct measurement components (RSSI, RSRP, RSRQ) that can be measured and processed independently. Each metric provides specific information about different aspects of network loading, allowing the device to accumulate precision without requiring a single complex measurement system.
Solution Approach 2:
The patent uses universal reference signals that serve multiple functions: they enable channel estimation, synchronization, and simultaneously provide the basis for load measurement. This multi-functionality allows the same signal infrastructure to support both basic communication functions and advanced load estimation without additional signaling overhead.
3Productivity
If continuous network monitoring is performed to maintain accurate load estimates, then performance optimization is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic measurement and reporting cycles where the UE performs load-related measurements at intervals rather than continuously. The device measures reference signals and reports loading metrics periodically, allowing performance optimization while reducing energy consumption compared to continuous monitoring.
Solution Approach 2:
The patent performs load estimation using already-available reference signal measurements that are taken as part of normal communication operations. By utilizing measurements that are preliminarily obtained for other purposes (channel estimation, synchronization), the system avoids additional energy-consuming measurement activities while still achieving load monitoring.
Data Source
AI summary
Loading estimation of 3GPP networks. One or more metrics relating to a cell of a 3GPP network may be measured. Loading of the cell may be estimated based on the one or more metrics. The metrics may include metrics measured, estimated, or derived at multiple layers, possibly including one or more of physical layer, radio link control layer, radio resource control layer, or application layer metrics.