Flexible Handover Execution for 5G Survival Time Constraints
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Solution Overview
Problem
Existing conditional handover procedures in 5G networks do not adequately consider the survival time requirements of critical industrial IoT (IIoT) services, leading to potential service breakdowns due to insufficient handover execution timing, which can exceed the survival time of packets, especially in scenarios with high reliability and low latency demands.
Innovation Solution
Implementing flexible handover execution conditions based on survival time (ST) headroom, allowing for early or late execution of handovers by providing delta values or ranges, along with threshold configurations, to ensure that handover timing aligns with the UE's ST requirements, thereby preventing service disruptions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If handover execution follows conventional timing procedures, then network operation simplicity is maintained, but survival time requirements of critical IIoT services are not met, causing service breakdowns
Solution Approach 1:
The network node pre-configures multiple handover execution conditions with different timing offsets (earlier, on-time, later execution) before handover is needed. When a trigger event occurs, the appropriate pre-configured condition is selected based on survival time requirements, eliminating the need for real-time complex calculations and ensuring reliable service continuity.
Solution Approach 2:
The handover execution mechanism dynamically adapts to different service requirements by selecting from multiple configurable timing options. The system can adjust handover timing based on survival time headroom, allowing flexible optimization between earlier execution (for conservative services) and later execution (for less time-critical services), resolving the contradiction between reliability and complexity.
2Reliability
If handover execution is delayed to ensure survival time compliance, then service reliability is improved, but handover latency increases, affecting productivity
Solution Approach 1:
The system changes the timing parameter of handover execution based on service type and survival time requirements. By configuring different time offsets (earlier, on-time, later execution), the system optimizes the balance between reliability and latency for different service scenarios, allowing critical services to use earlier execution while less critical services can use later execution to minimize unnecessary delays.
3Reliability
If handover execution is advanced to meet survival time requirements, then service reliability is improved, but network control complexity increases
Solution Approach 1:
The network node pre-configures multiple handover execution conditions with different timing offsets (earlier, on-time, later execution) before handover is needed. When a trigger event occurs, the appropriate pre-configured condition is selected based on survival time requirements, eliminating the need for real-time complex calculations and ensuring reliable service continuity.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for survival time dependent flexible handover execution are provided. One method may include providing, by a network node, at least one handover execution condition to at least one user equipment. The at least one handover execution condition may include one or more delta values with respect to one or more actual handover execution conditions to allow for early and/or late execution of a handover by the at least one user equipment. The method may also include indicating, to the at least one user equipment, a transfer interval and/or a survival time information for which the at least one handover execution condition is taken into account.