TN-NTN Handover Prediction for Oscillating User Equipment
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Solution Overview
Problem
Current technologies face challenges in predicting and managing handover events in user equipment (UE) transitioning between terrestrial networks (TN) and non-terrestrial networks (NTN), leading to potential service disruptions, increased computation load, and energy consumption.
Innovation Solution
A method and system for predicting handover metrics for aggregated user equipment categories in a TN-NTN network, allowing for the modification of cell shapes and allocation of UEs to different bandwidth portions based on predicted handover rates and volumes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual prediction for each UE handover is performed, then prediction accuracy is improved, but computation complexity increases substantially
Solution Approach 1:
The patent combines multiple UEs into clusters based on similar handover characteristics and performs prediction at the cluster level rather than for each individual UE. This merging approach maintains reasonable prediction accuracy while substantially reducing computation complexity by processing grouped data instead of individual records.
Solution Approach 2:
The patent segments the UE population into distinct clusters based on handover behavior patterns. By dividing the large set of individual UEs into smaller homogeneous groups, the system achieves efficient computation while preserving the essential prediction capabilities needed for network management.
2Reliability
If frequent handover management is performed for oscillating UEs, then connection stability is improved, but energy consumption increases
Solution Approach 1:
The patent performs prediction of handover events before they occur, allowing the network to proactively prepare for and manage oscillating UEs. This preliminary action enables optimization of handover parameters and resource allocation in advance, improving connection stability while reducing the energy consumption associated with reactive, frequent handover management.
3Object-affected harmful factors
If bandwidth is allocated dynamically based on handover prediction, then interference is minimized, but system complexity increases
Solution Approach 1:
The patent uses handover prediction to allocate bandwidth proactively before handover events occur. By predicting which UEs will handover and when, the system can pre-allocate appropriate bandwidth resources, minimizing interference during actual handover events while maintaining manageable system complexity through prediction-driven resource management.
Data Source
AI summary
A method performed by a first network node for UE prediction flow in a terrestrial network (TN)-non-terrestrial network (NTN), TN-NTN network is provided. The method includes predicting a handover metric corresponding to respective categories of aggregated UEs for handovers between a source TN or NTN network node and a target NTN or TN network node, respectively. At least one of the respective categories of aggregated UEs includes UEs that fluctuate, based on a temporal threshold, between a connection to an NTN network node and a TN network node. The method further includes initiating at least one of (i) modification of a shape of a cell based on the predicted handover rate and volume, and (ii) allocation of UEs aggregated to the respective categories to different portions of a bandwidth.