Telecommunications Network Analytics Configuration

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Solution Overview

Problem

Current 5G telecommunications networks do not effectively utilize analytics data collected from User Equipment (UE) to optimize network performance, leading to suboptimal resource allocation and user experience.

Innovation Solution

A method is introduced to collect, analyze, and configure network features using both network analytics data and terminal analytics data from UE, enabling intelligent slice selection and resource allocation based on user experience metrics such as QoE, packet latency, and jitter, with triggers for data reporting and updates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If analytics data from User Equipment (UE) is collected and used to optimize network configuration, then network performance and user experience are improved, but data collection complexity and processing requirements increase

Engineering Contradiction:
Improvenetwork performanceVSAvoiddata collection complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent introduces a network entity (such as an O&M server or network controller) that acts as an intermediary between UEs and the network configuration system. This intermediary collects analytics data from multiple UEs, processes it centrally, and generates configuration parameters, thereby reducing the complexity burden on individual network elements and providing centralized optimization capabilities.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent implements a feedback mechanism where analytics data collected from UEs about their experience (QoE, QoS metrics) is used to dynamically adjust network configuration parameters. This closed-loop feedback system continuously monitors network performance and user experience, then automatically optimizes configuration to improve reliability while managing complexity through automated decision-making.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If terminal analytics data is collected from multiple UEs, then network optimization accuracy is improved, but data transmission overhead and signaling load increase

Engineering Contradiction:
Improvenetwork optimization accuracyVSAvoiddata transmission overhead
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The patent combines analytics data collection with existing uplink signaling channels that UEs use for normal communication. By merging the analytics data transmission with regular uplink signaling (such as periodic reports or existing measurement reports), the patent reduces additional overhead while still collecting precise terminal analytics data from multiple UEs for accurate network optimization.

Inventive Principle:
Principle #5Merging (Combining)

3Ease of operation

If network configuration is dynamically adjusted based on real-time analytics, then user experience quality is improved, but system complexity and processing requirements increase

Engineering Contradiction:
Improveuser experience qualityVSAvoidsystem complexity
Core Design Contradiction:
Ease of operationVSExtent of automation

Solution Approach 1:

The patent focuses on optimizing a limited set of key network configuration parameters (such as QoS parameters, resource allocation settings, or radio access parameters) based on analytics data. By concentrating on critical parameters rather than attempting to optimize all system parameters, the patent improves user experience quality while managing system complexity through targeted parameter adjustment.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11432174B2Telecommunications networks
Publication Date: 2022.08.30 SAMSUNG ELECTRONICS CO LTD
  • US11432174B2 patent drawing
  • US11432174B2 patent drawing
  • US11432174B2 patent drawing

AI summary

A method of configuring a telecommunications network comprising the steps of collecting analytics data from a network (NAD) and analytics data (TAD) from at least one User Equipment (UE), analyzing said NAD and TAD and configuring at least one network feature according to the NAD and the TAD.