Early FR2 Tune-Away for 5G User Equipment
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Solution Overview
Problem
User equipment experiences signal degradation and increased power consumption due to compromised 5G FR2 connections, as it fails to promptly detect and respond to deteriorating signal quality, leading to inefficient resource allocation between 5G and LTE links.
Innovation Solution
Implementing techniques for early detection of signal quality issues, such as monitoring uplink and downlink block error rates, RSRP, and location changes, to quickly transition from a compromised 5G FR2 link to a more reliable LTE link, thereby reducing power consumption and enhancing data throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user equipment continues to monitor and maintain a compromised 5G FR2 connection, then connection reliability deteriorates due to signal degradation, but power consumption increases and data throughput decreases
Solution Approach 1:
The system performs preliminary detection of signal quality parameters (RSRP, SINR, block error rates) before the connection fully degrades. When thresholds are breached, the system proactively triggers link failure declaration and switches to LTE before the 5G connection becomes completely unusable, preventing wasted power consumption on maintaining a failing connection
Solution Approach 2:
The system continuously monitors uplink and downlink block error rates, RSRP, and other signal quality metrics as feedback. This feedback loop enables dynamic detection of connection degradation and triggers appropriate actions (suspending or releasing the 5G connection) based on real-time signal conditions, optimizing the balance between reliability and power consumption
2Use of energy by moving object
If user equipment promptly detects and responds to deteriorating signal quality, then power consumption is reduced by switching to LTE, but data throughput may be temporarily affected during the transition
Solution Approach 1:
The system detects signal quality degradation in advance using predefined thresholds for RSRP, SINR, and block error rates. By declaring link failure proactively before complete signal loss, the system minimizes the duration of throughput degradation during the transition from 5G to LTE, as the switch is triggered earlier rather than waiting for total connection failure
Solution Approach 2:
The system dynamically adjusts the connection state based on real-time signal conditions, transitioning between active, suspended, and released states. This dynamic approach allows the system to optimize throughput by maintaining the 5G connection when conditions permit while rapidly switching to LTE when degradation is detected, maximizing overall data transfer efficiency
3Productivity
If user equipment uses multiple transceivers for dual connectivity, then data throughput is enhanced through carrier aggregation, but device complexity increases
Solution Approach 1:
The system extracts and independently manages the 5G and LTE transceiver operations through separate link management procedures. By declaring link failures independently for each radio access technology and implementing separate suspension/release mechanisms, the system simplifies the control logic for managing multiple transceivers while maintaining the throughput benefits of dual connectivity
Solution Approach 2:
The system segments the dual connectivity management into independent 5G link monitoring and LTE link monitoring processes. Each link has its own failure detection thresholds and state machine (active, suspended, released), allowing independent optimization of each connection without increasing overall device complexity, as the segmentation enables modular management of multiple transceivers
Data Source
AI summary
This disclosure provides various techniques for decreasing the time it takes user equipment to tune away from a compromised network connection. By more quickly detecting a signal characteristic issue (e.g., signal quality issue) in the compromised signal and performing mitigation actions, the user equipment may decrease power consumption and increase data throughput. The signal quality issue may be detected by monitoring the location of the user equipment, a channel impulse response of the user equipment, and/or a block error rate (BLER) of a signal, among other methods. The data obtained may be fed into confidence validation logic, which may determine a level of confidence that the signal quality issue may cause a weak or broken connection between the user equipment and a network. The confidence validation logic may, based on the determination, operate the user equipment in an active state, a suspend state, or a release state.