5G NR UE PCell Switching for Radio Link Failure Prediction

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Solution Overview

Problem

Radio link failures (RLFs) in non-dual connectivity modes of 5G NR UEs, particularly at high frequencies, lead to increased likelihood of connectivity interruptions due to propagation loss and blockages, as existing methods require RRC re-establishment procedures that cause significant latency and disruption.

Innovation Solution

The implementation of methods for 5G NR UEs to switch between PCell configurations without performing RRC reconfiguration procedures, using machine learning models to predict RLFs and select alternative PCell configurations, thereby minimizing connectivity interruptions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If RRC re-establishment procedures are performed upon radio link failure, then connection recovery is achieved, but significant latency and connectivity disruption occur

Engineering Contradiction:
Improveconnection recoveryVSAvoidlatency and connectivity disruption
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by pre-configuring multiple PCell candidates and their associated SCells before RLF occurs. When RLF is detected, the UE can immediately switch to a pre-configured candidate PCell without waiting for RRC re-establishment procedures, thus recovering connection while minimizing latency and disruption.

Inventive Principle:
Principle #10Preliminary action

2Loss of time

If machine learning models are used to predict RLFs and select alternative PCell configurations, then connectivity interruption is minimized, but computational complexity increases

Engineering Contradiction:
Improveconnectivity interruptionVSAvoidcomputational complexity
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The machine learning model performs predictions in advance to identify potential RLF scenarios and pre-select alternative PCell configurations. By preparing predictions and candidate selections before actual failures occur, the system minimizes connectivity interruption while the computational complexity is managed through offline training and online inference approaches.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20240267972A1Prediction and Proactive Handling of Radio Link Failures
Publication Date: 2024.08.08 TELEFONAKTIEBOLAGET LM ERICSSON (PUBL)
  • US20240267972A1 patent drawing
  • US20240267972A1 patent drawing
  • US20240267972A1 patent drawing

AI summary

Embodiments include methods for a user equipment (UE) configured to communicate with a wireless network via a primary cell (PCell) and one or more secondary cells (SCells). Such methods include receiving, from the wireless network, a plurality of configurations for a corresponding plurality of candidate PCells. Such methods include selecting one of the configurations upon occurrence of a failure event in a first cell configured as the PCell and switching the PCell from the first cell to the candidate PCell corresponding to the selected configuration. Other embodiments include complementary methods for a network node of the wireless network, as well as UEs and network nodes configured to perform such methods.