Systems and methods for communications node upgrade and selection

Patent metadata

Field	Value
Publication number	US-12238548-B2
Application number	US-202318221139-A
Country	US
Kind code	B2
Filing date	Jul 12, 2023
Priority date	Feb 20, 2019
Publication date	Feb 25, 2025
Grant date	Feb 25, 2025

Abstract

Implementations described and claimed herein provide systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

First claim

What is claimed is:

1. A method for intelligent node type selection in a telecommunications network, the method comprising:
generating a set of customer events for a node type of a communications node using a simulator, the set of customer events generated by simulating a customer set for the communications node over time through a discrete event simulation;
modeling an impact of the customer events for the node type of the communications node; and
identifying the node type from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

2. The method of claim 1 , wherein the plurality of node types includes at least one of central office fed internet protocol (CoIP), fiber to the node (FTTN), or fiber to the premises (FTTP).

3. The method of claim 1 , wherein the customer set is generated by a neural network based on a new sales rate and an offer distribution.

4. The method of claim 1 , wherein the customer node is within a buildable area, the set of customer events being generated for the telecommunications build for the buildable area.

5. The method of claim 1 , wherein the telecommunications build is a Passive Optical Network (PON) overlay.

6. The method of claim 1 , wherein the telecommunications build is a greenfield build or a brownfield build.

7. The method of claim 1 , wherein the set of customer events includes one or more of a customer count and a revenue curve.

8. The method of claim 1 , wherein the discrete event simulation is replicated using a plurality of random seed numbers.

9. A telecommunications system comprising:
a wire center deployed in a telecommunications network;
a plurality of sites, each of the sites corresponding to at least one customer of a service provided by the telecommunications network;
a communications node connecting the plurality of sites to the wire center, the communications node having a node type selected based on a model of an impact of customer events for the node type, the customer events generated by simulating a customer set over time through a discrete event simulation; and
an artificial intelligence platform modeling an impact of the customer events for the node type of the communications node, and identifying the node type from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

10. The system of claim 9 , wherein the node type is central office fed internet protocol (CoIP), fiber to the node (FTTN), or fiber to the premises (FTTP).

11. The system of claim 9 , wherein the new customer set is generated by a neural network based on a new sales rate and an offer distribution.

12. The system of claim 9 , wherein the node type is associated with a telecommunications build for a buildable area of the telecommunications network.

13. The system of claim 12 , wherein the telecommunications build for the buildable area is a greenfield build or a brownfield build.

14. The system of claim 12 , wherein a customer node is within a buildable area, the set of customer events being generated for the telecommunications build for the buildable area.

15. The system of claim 12 , wherein the set of customer events includes one or more of a customer count and a revenue curve.

16. The system of claim 12 , wherein the discrete event simulation is replicated using a plurality of random seed numbers.

Assignees

• Level 3 Communications Llc

Inventors

• Gray William
• Sayre James
• Limburg Stephen

Classifications

• H04L41/0893

  Assignment of logical groups to network elements · CPC title

• G06Q10/04

  Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title

• H04B10/27

  Arrangements for networking · CPC title

• H04Q11/0067

  Provisions for optical access or distribution networks, e.g. Gigabit Ethernet Passive Optical Network (GE-PON), ATM-based Passive Optical Network (A-PON), PON-Ring · CPC title

• H04Q3/0029

  Provisions for intelligent networking · CPC title