Dual Connectivity Handover Weighting for Neighbor Relations

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Solution Overview

Problem

In networks supporting dual connectivity, such as E-UTRAN New Radio (NR) Dual Connectivity (EN-DC), existing automatic neighbor relation (ANR) systems face challenges in optimizing handover decisions due to insufficient information about the quality of dual connectivity coverage, leading to futile handovers and resource inefficiencies.

Innovation Solution

The system determines a weighting factor for pairings of network nodes based on user equipment data and metrics like network resource demand, node capabilities, and available resources, enabling intelligent handover target selection and optimized neighbor list management to ensure suitable dual connectivity coverage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing ANR systems are used in dual connectivity networks, then basic handover functionality is maintained, but handover decisions are suboptimal due to insufficient information about dual connectivity coverage quality

Engineering Contradiction:
Improvehandover decision qualityVSAvoiddual connectivity coverage information
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The system performs preliminary actions by determining weighting factors for network node pairings in advance, based on node capabilities and available resources. This preparation enables more informed handover decisions later, addressing the information deficiency that causes suboptimal handovers in existing ANR systems.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system implements feedback mechanisms by monitoring handover outcomes and dual connectivity establishment results. This feedback is used to continuously refine weighting factors for network node pairings, improving handover decision quality over time while compensating for initial information gaps about dual connectivity coverage.

Inventive Principle:
Principle #23Feedback

2Productivity

If traditional ANR neighbor list management is used, then neighbor relations are maintained, but computing resources are wasted on futile handovers and suboptimal target selection

Engineering Contradiction:
Improvehandover efficiencyVSAvoidcomputing and network resources
Core Design Contradiction:
ProductivityVSLoss of energy

Solution Approach 1:

The system changes key parameters by introducing weighting factors that quantify the suitability of network node pairings for dual connectivity. These weighting factors are determined based on node capabilities, available resources, and user equipment data, enabling more efficient handover target selection that reduces futile handovers and conserves computing and network resources.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system applies dynamics by making the neighbor list management adaptive and dynamic. Weighting factors are continuously updated based on changing network conditions, node capabilities, and resource availability. This dynamic approach allows the system to optimize handover decisions in real-time, improving productivity while reducing resource waste compared to static traditional ANR systems.

Inventive Principle:
Principle #15Dynamics

3Reliability

If handover decisions are made without weighting factors, then handover process is simple, but target selection is suboptimal leading to increased handover count

Engineering Contradiction:
Improvedual connectivity coverage reliabilityVSAvoidhandover decision mechanism
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary calculations to determine weighting factors for network node pairings based on node capabilities and resource availability. This advance preparation adds complexity to the decision mechanism but enables more reliable dual connectivity coverage by ensuring handover targets are selected based on comprehensive evaluation rather than simple criteria.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11290928B1Methods, systems, and devices for enhancing automatic neighbor relations over a network supporting dual connectivity
Publication Date: 2022.03.29 AT&T TECHNICAL SERVICES CO INC
  • US11290928B1 patent drawing
  • US11290928B1 patent drawing
  • US11290928B1 patent drawing

AI summary

Aspects of the subject disclosure may include, for example, obtaining, from a user equipment, data relating to the user equipment, where the user equipment is communicatively coupled to a source network node, accessing a neighbor list that identifies a first pairing of first and second network nodes and a second pairing of third and fourth network nodes, and that associates a first weighting factor with the first pairing and a second weighting factor with the second pairing, selecting the first network node or the third network node as a target network node in a handover for the user equipment based on the data, the first weighting factor, and the second weighting factor, and causing the handover to be effected for the user equipment responsive to the selecting the first network node or the third network node as the target network node. Other embodiments are disclosed.