Wireless Coverage Outage Analysis Using UE Self-Location Data

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Solution Overview

Problem

Current wireless communication network management systems face challenges in accurately identifying and addressing wireless coverage outages due to the lack of precise location information from user equipment (UE) during outages, leading to inefficient management and potential gaps in radio coverage.

Innovation Solution

A method that collects network performance data from enhanced NodeBs (eNBs) and UE performance data, including self-location information, to analyze and manage wireless communication networks by identifying coverage outages and opportunities for improvement, allowing for targeted adjustments and additions to eNBs to enhance coverage.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional network management systems are used without UE self-location data, then system complexity is reduced, but measurement precision of coverage outage location is insufficient

Engineering Contradiction:
Improvecoverage outage location precisionVSAvoidnetwork management system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces UE self-location information as an intermediary data source to bridge the gap between network-side observations and actual coverage conditions. The UE's GPS or other location capabilities provide independent location data that mediates between the eNB's coverage area and the actual outage location, enabling precise identification of coverage gaps without requiring complex modifications to existing network management architecture.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive network performance data and UE performance data are collected and analyzed, then network management accuracy is improved, but information processing complexity increases

Engineering Contradiction:
Improvenetwork management accuracyVSAvoiddata analysis complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the data analysis process into distinct components: network performance data collection from eNBs, UE performance data collection from user devices, and combined analysis. This segmentation allows each data source to be processed independently using appropriate methods, then integrated to achieve comprehensive network management accuracy without overwhelming complexity in any single processing stage.

Inventive Principle:
Principle #1Segmentation

3Measurement precision

If statistical norms of wireless coverage are determined through comprehensive data analysis, then identification of localized improvement opportunities is improved, but loss of time in data processing increases

Engineering Contradiction:
Improvelocalized opportunity identification accuracyVSAvoiddata processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements preliminary action by continuously collecting and pre-processing network performance data and UE performance data, maintaining updated statistical norms of wireless coverage. This allows the system to have coverage statistics ready in advance, so when analyzing for localized improvement opportunities, the comparison can be performed quickly against pre-computed norms rather than calculating everything from scratch each time.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS9967753B1Wireless communication network adaptation based on collaborative data analysis
Publication Date: 2018.05.08 T MOBILE INNOVATIONS LLC
  • US9967753B1 patent drawing
  • US9967753B1 patent drawing
  • US9967753B1 patent drawing

AI summary

A method of managing a wireless communication network. The method comprises collecting network performance data from enhanced node Bs (eNBs) by an application executing on a computer system and collecting user equipment (UE) performance data from UEs, where the UE performance data comprises self-location information at the time of a wireless coverage outage experienced by the UEs. The method further comprises, for each eNB, analyzing by the application network performance data associated with the eNB and UE performance data of wireless coverage outages experienced by UEs determined based on their self-location information to have been proximate to the eNB when its wireless coverage outage was experienced, and, based on the analysis of network performance data in combination with UE performance data, taking action to manage the wireless communication network.