UE Throughput Prediction for Seamless Handover

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Solution Overview

Problem

Handover processes in wireless communications are disrupted due to fluctuations in link quality between user equipment (UE) and base stations, leading to service interruptions, as existing technologies lack effective prediction and management of pilot signal quality and data throughput during UE handovers between different component carriers.

Innovation Solution

A processor in the user equipment predicts the quality of a pilot signal and data throughput for potential component carriers by measuring signal qualities, applying correction processes, and using a mapping to determine the best carrier for handover, ensuring minimal disruption by communicating predicted throughputs to application servers or TCP entities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If handover is performed based on traditional link quality metrics, then the handover process can be completed, but service interruptions and TCP disruptions occur due to lack of throughput prediction

Engineering Contradiction:

Improveservice continuityVSAvoidservice interruption time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary prediction of data throughput and pilot signal quality before handover occurs. By estimating the target cell's throughput capacity in advance using mapping functions and correction factors, the system can make informed handover decisions that prevent service interruptions and TCP disruptions.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses feedback from measured pilot signal qualities and correction factors to continuously refine throughput predictions. This feedback mechanism allows the system to adapt to changing channel conditions and improve handover decision accuracy, thereby maintaining service continuity.

Inventive Principle:

Principle #23Feedback

2Measurement precision

If multiple correction processes are applied to predict pilot signal quality, then prediction accuracy improves, but computational complexity increases

Engineering Contradiction:

Improvepilot signal quality prediction accuracyVSAvoidprocessing complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system applies multiple correction processes (first correction factor, second correction factor, third correction factor) to progressively refine the pilot signal quality prediction. Each correction addresses specific aspects of channel conditions, and their combined effect achieves high prediction accuracy without requiring complete re-evaluation of all parameters.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The correction process is divided into separate, modular correction factors that can be applied independently. This segmentation allows the system to handle complex predictions through a series of simpler, manageable correction steps rather than a single complex calculation.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS9686701B2Method and apparatus for target cell throughput prediction prior to handover of a user equipment

Publication Date: 2017.06.20 NOKIA OF AMERICA CORP

AI summary

In one example embodiment, a user equipment is currently being served over a first component carrier. The user equipment includes a processor configured to predict a quality of a pilot signal associated with a second component carrier, the second component carrier being a potential component carrier for a handover of the user equipment, and predict a data throughput based on the predicted quality of the pilot signal, the predicted data throughput being indicative of data throughput experienced by the user equipment after the handover of the user equipment to the second component carrier.