RAN Slice-Aware Cell Reselection for Low-Latency UE Traffic
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face inefficiencies in cell reselection processes due to network overload, increased power consumption, and signaling overhead, particularly in RAN slicing scenarios, leading to network congestion and ineffective handovers.
Innovation Solution
Implementing smart and dynamic cell reselection methods based on RAN slicing information, where UEs prioritize immediate reselection for low-latency activities and delay reselection for non-low-latency activities, using detection rules and network-induced strategies to optimize cell reselection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional cell reselection processes are used in RAN slicing scenarios, then UEs can maintain basic connectivity, but network overload increases and power consumption rises
Solution Approach 1:
The patent implements dynamic cell reselection by adjusting reselection parameters (S-crx, Qoffset) based on real-time UE activity detection and network conditions. The system transitions from static to dynamic reselection behavior, adapting the reselection threshold and offset values according to whether the UE is engaged in low-latency or non-low-latency activities, thereby optimizing power consumption while maintaining connectivity reliability
Solution Approach 2:
The patent changes key reselection parameters (S-crx threshold, Qoffset values) based on detected UE activity states and RAN slicing information. When low-latency activity is detected, more aggressive reselection parameters are applied; when non-low-latency activity is detected, conservative parameters are used. This parameter adaptation directly addresses the contradiction by adjusting system behavior to balance connectivity needs against power consumption
2Reliability
If frequent cell reselection is performed to maintain optimal connectivity, then network service quality improves, but signaling overhead increases
Solution Approach 1:
The patent applies different reselection strategies and parameter sets to different UE activity contexts and different RAN slices. Instead of a uniform reselection approach, the system tailors the reselection behavior locally to each UE's current activity state (low-latency vs. non-low-latency) and the specific slice requirements, thereby maintaining service quality where needed while reducing unnecessary signaling in other cases
Solution Approach 2:
The system dynamically adjusts reselection frequency and aggressiveness based on real-time conditions. By detecting UE activity states and network load, the system modulates the reselection process to be more frequent when service quality is critical and less frequent when it is not, thereby optimizing the trade-off between service quality and signaling overhead
3Speed
If immediate cell reselection is performed for all UEs, then low-latency activities are supported, but network congestion increases
Solution Approach 1:
The patent applies differentiated reselection timing based on UE activity detection. UEs engaged in low-latency activities receive immediate reselection treatment with optimized parameters, while UEs with non-low-latency activities receive delayed or moderated reselection. This local differentiation ensures that only the necessary subset of UEs contributes to reselection traffic, supporting low-latency requirements without causing universal network congestion
Solution Approach 2:
The system segments the UE population into different reselection behavior groups based on their activity characteristics and slice requirements. By segmenting UEs into those requiring immediate reselection (low-latency) and those that can tolerate delayed reselection (non-low-latency), the system reduces the overall reselection burden on the network while maintaining performance for critical applications
4Use of energy by moving object
If conservative cell reselection is used to reduce signaling, then power consumption decreases, but network resource efficiency worsens
Solution Approach 1:
The patent dynamically changes reselection parameters (S-crx, Qoffset) based on network conditions and UE activity detection. When network resources are underutilized, more conservative parameters are applied to save UE power. When network resources require optimization, more aggressive parameters are applied to improve resource distribution. This dynamic parameter adjustment resolves the contradiction by adapting system behavior to current operational context
Data Source
AI summary
Systems and methods for performing smart and dynamic cell reselection based on RAN slicing are disclosed herein. In one aspect, a method for a user equipment (UE) includes, while camped on and registered to a first cell in a cellular network in an idle mode or an inactive state, determining to perform cell reselection based on radio access network (RAN) slicing information. The UE detects low-latency related activity or non low-latency related activity associated with the UE. Responsive to detecting the low-latency related activity, the UE performs an immediate cell reselection process to a slice-specific cell in the cellular network. Responsive to detecting the non low-latency related activity, The UE performs a delayed cell reselection process.