Keep Alive Signal Detection for Unresponsive User Equipment
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Solution Overview
Problem
Existing technologies face challenges in detecting unresponsive user equipment (UE) in cellular broadband communications, particularly when there is no data or high uplink interference, leading to inefficient resource allocation and prolonged out-of-service times.
Innovation Solution
The implementation of a system that uses keep alive report periodicity signals, configured according to a packet data convergence protocol (PDCP) protocol data unit format, to detect unresponsive UE. This system maintains a configurable keep alive missed threshold and initiates a user equipment release transaction when a threshold number of consecutive keep alive signals are not received.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to detect unresponsive UE, then detection reliability is reduced, but resource allocation efficiency deteriorates due to prolonged out-of-service times
Solution Approach 1:
The system performs preliminary actions by establishing keep-alive signaling mechanisms before UE becomes completely unresponsive. The network configures periodic keep-alive messages that UE must acknowledge, allowing early detection of responsiveness issues before they escalate to full service disruption, thereby reducing out-of-service time while maintaining reliable detection.
Solution Approach 2:
The system implements feedback mechanisms through periodic keep-alive message exchanges between network and UE. The network sends keep-alive messages and expects acknowledgments within defined time windows. When acknowledgments fail to arrive, the system receives feedback about UE responsiveness status, enabling reliable detection and timely resource reclamation.
2Measurement precision
If keep alive signaling is implemented continuously, then detection precision is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous signaling, the system employs periodic keep-alive messages transmitted at configured intervals. This periodic action maintains sufficient detection precision by regularly checking UE responsiveness while significantly reducing energy consumption compared to continuous monitoring, as both network and UE can enter low-power states between periodic checks.
Solution Approach 2:
The system dynamically adjusts keep-alive signaling parameters such as message periodicity, time window thresholds, and repetition counts based on service requirements and UE state. By changing these parameters adaptively, the system optimizes the balance between detection precision and energy consumption, using more aggressive parameters when reliability is critical and more conservative parameters when energy conservation is prioritized.
Data Source
AI summary
A system can communicate broadband cellular communications with a base station. The system can receive an indication from the base station to perform iterations of transmitting a keep alive report periodicity signal according to a packet data convergence protocol protocol data unit format. The system can initiate the iterations of transmitting the keep alive report periodicity signal to the base station, wherein, responsive to the initiating, a user equipment release transaction is to be initiated for the system based on a lack of a threshold number of consecutive keep alive report periodicity signals of the keep alive report periodicity signals being received.