Determining spatial-temporal informative patterns for users and devices in data networks

Patent metadata

Field	Value
Publication number	US-2024422082-A1
Application number	US-202418819364-A
Country	US
Kind code	A1
Filing date	Aug 29, 2024
Priority date	Nov 3, 2021
Publication date	Dec 19, 2024
Grant date	—

Abstract

Spatial-temporal informative patterns for users and devices associated with data networks can be predicted or determined. An information management component (IMC) can analyze respective groups of items of data stored in respective formats in respective databases. Some items of data can comprise respective signal measurement data representative of respective signal measurements associated with respective devices associated with a communication network. Based on the analysis results, IMC can determine a spatial-temporal pattern(s) associated with the respective groups of items of data, wherein the spatial-temporal pattern(s) can relate to a subject of interest. The IMC can utilize artificial intelligence and/or machine learning algorithms and models to facilitate determining the spatial-temporal pattern(s). In response to a query relating to the subject of interest, the IMC can provide information relating to the subject of interest and responsive to the query based on the spatial-temporal pattern(s).

First claim

What is claimed is:

1 . A system, comprising:
a processor; and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
analyzing a first group of items of data and a second group of items of data, wherein the first group of items of data comprises respective signal measurement data in a communication network and the second group of items of data comprises respective communication network-related data associated with respective devices associated with network equipment associated with the communication network, wherein the analyzing comprises performing an artificial intelligence or machine learning analysis on the first group of items of data and the second group of items of data;
based on the analyzing, determining a spatial-temporal pattern associated with at least one of the first group of items of data and the second group of items of data; and
identifying a cause of a performance level relating to provision of device communication services in the communication network not satisfying a minimum threshold performance level.

2 . The system of claim 1 , wherein the operations further comprise:
receiving a search query; querying for a first search query result that is responsive to the search query, wherein the first search query result relates to the first group of items of data; and querying for a second search query result that is responsive to the search query, wherein the second search query result relates to the second group of items of data.

3 . The system of claim 2 , wherein the determining a spatial-temporal pattern associated with at least one of the first group of items of data and the second group of items of data comprises determining a spatial-temporal pattern that relates to a topic of interest, and
wherein the receiving a search query comprises receiving a search query relating to the topic of interest.

4 . The system of claim 1 , wherein the operations further comprise:
storing the first group of items of data in a first format in a first data store; and storing the second group of items of data in a second format in a second data store.

5 . The system of claim 4 , wherein the operations further comprise:
storing the first group of items of data in a relational data store in the first format that is associated with a relational structure; and storing the second group of data items in a non-relational data store in the second format that is associated with a non-relational structure, and wherein the non-relational data store comprises a time-series data store.

6 . The system of claim 4 , wherein the operations further comprise:
receiving a search query, comprising search query data in a third format; translating the search query data from the third format to first modified search query data in the first format associated with the first data store; querying the first data store for a first search query result that is responsive to the search query based on the first modified search query data, wherein the first search query result relates to the first group of items of data; translating the search query data from the third format to second modified search query data in the second format associated with the second data store; and querying the second data store for a second search query result that is responsive to the search query based on the second modified search query data, wherein the second search query result relates to the second group of items of data.

7 . The system of claim 1 , wherein the identifying a cause of a performance level relating to provision of device communication services in the communication network not satisfying a minimum threshold performance level comprises:
determining a geographical area that is associated with the performance level relating to provision of device communication services that does not satisfy the minimum threshold performance level, wherein the geographical area is associated with a portion of the respective devices.

8 . The system of claim 7 , wherein the determining a geographical area that is associated with the performance level relating to provision of device communication services that does not satisfy the minimum threshold performance level comprises:
identifying network equipment associated with the geographical area.

9 . The system of claim 1 , wherein the operations further comprise:
training, by the system, an artificial intelligence or machine learning model based on the artificial intelligence or machine learning analysis and the first group of items of data and the second group of items of data.

10 . The system of claim 9 , wherein the operations further comprise:
based on the artificial intelligence or machine learning model, predicting, to a defined degree of likelihood, the spatial-temporal pattern associated with the first group of items of data and the second group of items of data.

11 . The system of claim 10 , wherein the operations further comprise:
predicting, to a second defined degree of likelihood, a relationship between a first subgroup of items of data of the first group of items of data and a second subgroup of items of data of the second group of items of data; and clustering, by the system, the first subgroup of items of data and the second subgroup of items of data to form a cluster comprising the first subgroup of items of data and the second subgroup of items of data.

12 . The system of claim 1 , wherein at least a portion of the system is instantiated at an edge of the communication network to reduce an amount of time latency associated with the analyzing, the determining, and the identifying the cause of the performance level not satisfying a minimum threshold performance level.

13 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
examining a first group of items of information and a second group of items of information, wherein the second group of items of information comprises respective communication network-related information associated with different user equipment associated with network equipment of a communication network; and determining a spatial-temporal relationship associated with the first group of items of information and the second group of items of information, wherein the spatial-temporal relationship relates to an attribute of interest to an operator of the communication network, wherein the examining and the determining are performed at an edge of a communication network to reduce a time latency associated with the examining and the determining the spatial-temporal relationship.

14 . The non-transitory machine-readable medium of claim 13 , wherein the examining a first group of items of information comprises:
examining respective signal measurement data in the communication network.

15 . The non-transitory machine-readable medium of claim 13 , wherein the examining a first group of items of information comprises:
examining respective call records associated with respective devices in the communication network.

16 . The non-transitory machine-readable medium of claim 13 , wherein the examining a first group of items of information comprises:
examining performance indicators associated with respective devices in the communication network.

17 . A method, comprising:
retrieving, by a processing system including a processor, a first group of items of data and a second group of items of data, wherei

Assignees

• At & T Ip I Lp

Inventors

• Malboubi Mehdi
• Jiang Baofeng
• Zheng Yuhong

Classifications

• H04L43/045

  for graphical visualisation of monitoring data · CPC title

• G05B19/0425

  Safety, monitoring · CPC title

• G05B23/0289

  Reconfiguration to prevent failure, e.g. usually as a reaction to incipient failure detection · CPC title

• H04L41/16

  using machine learning or artificial intelligence · CPC title

• G06N20/00

  Machine learning · CPC title