Spatially Aware Cells for Predictive mmWave Handover

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Solution Overview

Problem

Existing beam management techniques in mmWave wireless communications are unreliable due to frequent radio link failures (RLFs) caused by sudden changes in propagation characteristics, particularly in dynamic environments, leading to poor user experiences.

Innovation Solution

Incorporating sensors such as cameras or IR sensors into network entities to provide mobility information for predicting the future path of user equipment (UE) and facilitating handovers to maintain connectivity.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If beam management techniques are used in mmWave wireless communications, then data transmission capability is improved, but radio link reliability deteriorates due to frequent link failures

Engineering Contradiction:

Improvedata transmission capabilityVSAvoidradio link reliability

Core Design Contradiction:

ProductivityVSReliability

Solution Approach 1:

The system performs preliminary actions by using sensor data (cameras, IR sensors, LIDAR) to predict the future path of user equipment before radio link failure occurs. This advance prediction enables proactive handover preparation, allowing the system to switch cells before the current link fails, thus maintaining reliability while supporting high-speed mmWave transmission

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by continuously monitoring sensor data about UE movement and using this information to adjust handover decisions. The network entity receives feedback from sensors about changing propagation conditions and uses this feedback to trigger handovers before link failure occurs, resolving the contradiction between maintaining reliable connections and supporting high-productivity mmWave beams

Inventive Principle:

Principle #23Feedback

2Device complexity

If traditional handover methods are used, then system complexity is kept low, but handover timing precision deteriorates leading to frequent link failures

Engineering Contradiction:

Improvesystem complexityVSAvoidhandover timing precision

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The system introduces sensor data (cameras, IR sensors, LIDAR) as an intermediary to improve handover timing precision. These sensors provide additional information about UE movement and environmental conditions that complements traditional signal measurements, enabling more accurate prediction of when handover should occur without significantly increasing overall system complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system performs preliminary path prediction using sensor data before handover is needed. By calculating the future path of UE based on current sensor readings and movement patterns, the system can prepare handover parameters in advance and execute handovers at precisely the right moment, avoiding both premature and delayed handovers

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS12520218B2Spatially aware cells

Publication Date: 2026.01.06 QUALCOMM INC

AI summary

Certain aspects of the present disclosure provide techniques for obtaining first mobility information for a user equipment (UE) based on data from one or more sensors, predicting a path of the UE, based on the first mobility information, and triggering handover of the UE from the source network entity to a target network entity, based on cell coverage information and the predicted path of the UE.